Our client specializes in flexible student lending and loan refinancing for undergraduate, graduate, and parent borrowers.
The private student loan company is competing for search presence on the topic of student loans with large players such as Sallie Mae, SoFi, and Earnest. These competitors have a very wide range of content around the topic of student loans that they rank for, which has given them credibility with search engines and LLMs. In order to compete, they needed a better ranking for its existing content and internal linking structure that would signal authority to search engines and LLM crawlers.
In collaboration with our client, we built a hub and spoke content strategy around the topic of Private student loans. We were able to build 162 optimized content pieces, and re-optimize 62 existing content pages on the site. We also acquired 455 high quality backlinks that are strategically pointed to pages that will improve our visibility in Search for student loan related keywords.
At the midway point of 2025, our client had a total of about 20 owned citations and 35 brand mentions in AI Search. As a result of these efforts, they now own:
Paid media has grown up.
Does this mean it’s simpler, calmer, or easier to manage? Hahaha. No. Quite the opposite, in fact.
In 2026, paid media lives at the intersection of automation, creative strategy, data interpretation, and business accountability. Platforms move quickly. Interfaces change often. AI touches almost every layer of execution. And budgets feel heavier than they used to, because expectations are heavier too.This is where the role of a PPC agency starts to look very different from what it did even a few years ago. What used to be about keyword bids and ad copy now looks much more like systems thinking, forecasting, and cross-channel coordination. Which is exactly why businesses continue to turn to PPC agencies: for guidance.
At its most basic, a PPC agency manages paid advertising across platforms like Google, Microsoft, Meta, LinkedIn, and emerging discovery environments (such as AI-driven search and retail media networks). That part hasn’t changed.
What has changed is how success gets defined and how work gets organized around it. A modern PPC management agency centers on business outcomes: qualified demand, revenue contribution, and scalable growth. Traffic still matters; it’s just not the only voice in the conversation anymore.Today’s PPC agency operates as a strategic partner. Campaign execution is supported by planning, forecasting, testing frameworks, and measurement models that extend beyond individual platforms. Heading into 2026, PPC agency models reflect this shift. Strategy, interpretation, and optimization layers now carry as much weight as execution itself.
Maybe not a huge surprise in this new era of autonomous, intelligent machines, but the most visible change is automation.
Bidding, targeting, and creative testing increasingly rely on machine learning systems that operate faster than any human team could. That reality shapes how a modern PPC agency adds value. Manual campaign management alone doesn’t always hold up well anymore. The real leverage comes from setting the right guardrails for automation and evaluating its impact. As such, PPC agencies now spend more time interpreting data, defining testing priorities, and connecting performance signals back to business goals.
Data integration plays a major role here. Performance spans analytics tools, CRM systems, lifecycle data, and attribution models rather than living in a single dashboard. A capable PPC agency knows how to connect those inputs so optimization decisions reflect actual business conditions.
No two PPC agencies present their services in exactly the same way. Still, the strongest ones tend to share a common foundation. Each capability reinforces the next, forming an approach designed to work cohesively as campaigns grow and evolve.
The impact of working with a PPC agency is rarely expressed as a single metric. It reveals itself over time, in how efficiently teams operate, how confidently decisions get made, and how resilient paid programs become as complexity increases.
Most teams tend to notice the value of a PPC agency when they suddenly realize that they have a moment to catch their collective breath. Budgets start to feel intentional instead of reactive. Testing moves forward with a clearer sense of purpose. Performance reviews become less about chasing fluctuations and more about understanding patterns. And as campaigns expand across platforms and audiences, that steadiness creates room to scale thoughtfully, without the anxiety-inducing feeling that everything needs to be fixed at once.
Paid platforms are in a constant state of motion, and keeping up with that change is practically a job in itself. Policies update, automation behaves differently, targeting options come and go, and none of it waits for anyone. A PPC agency lives in that reality every day so you don’t have to, tracking changes, pressure-testing assumptions, and making adjustments before small issues turn into expensive ones. That buffer matters most when budgets increase and leadership expects stability along with performance.
For leadership teams, the real value often shows up in how conversations change. Performance stops feeling abstract and starts making sense in the context of revenue targets, pipeline health, and growth plans. A strong PPC agency helps translate what’s happening in the platforms into signals leaders can actually use, whether that’s deciding where to invest next, when to pull back, or how aggressive to be with growth goals. That shared understanding tends to ripple outward, making planning smoother and decisions easier to stand behind.
Competitive markets have a way of exposing weak strategy very quickly. Costs rise, attention fragments, and small inefficiencies stop being small. This is where a modern PPC agency earns trust by bringing discipline, judgment, and a long view to every decision:
In crowded spaces, broad targeting gets expensive fast. Strong PPC agencies spend real time understanding who’s actually worth reaching and what signals indicate readiness. That work goes beyond basic audience definitions and into intent modeling, behavior patterns, and demand quality. Clarity makes budget decisions easier. Spend gets directed toward people who are actually nearing a decision, keeping efficiency from eroding even when competition gets fierce.
Most buying journeys don’t move in a straight line, and competitive markets certainly don’t change that fact. Effective agencies account for that complexity from the start. Awareness, consideration, and conversion campaigns are designed to work together, each playing a role at the right moment instead of fighting for credit. Messaging shifts as people learn more, pause, compare options, and return when the timing feels right.
In competitive auctions, creative fatigue sets in quickly. Ads that worked last quarter start blending into the noise. Strong PPC agencies counter this by treating creative as an ongoing system. Clear messaging frameworks shape what gets tested and why, while performance data guides what gets refined next. Over time, patterns become visible — which ideas consistently resonate, which formats hold attention, and which angles stall out early. That ongoing rhythm keeps accounts healthy and responsive, without forcing teams into constant, exhausting reinvention.
Maybe it goes without saying, but forecasting works best when it reflects how businesses actually operate. The best PPC agencies approach projections by looking at what has happened, what’s changing in the market, and how leadership defines growth. That framing helps teams understand what different budget levels are likely to support and where expectations should sit. This approach makes it easier to have honest conversations about tradeoffs, timing, and risk.
Clicks don’t tell the whole story, especially in competitive markets. But knowing what comes after the click? That’s where things start to get interesting. Context-driven optimization pulls insight from sales feedback, lifecycle data, analytics, and post-click behavior to show how paid traffic actually performs once it leaves the ad platform. That broader view changes decision-making. Keywords get evaluated based on lead quality. Creative gets refined using downstream signals, budgets shift according to what converts, and optimization reflects the kinds of real outcomes that matter.
Now, be aware that at some point, every paid media program hits a crossroads. Performance plateaus, complexity increases, and what once felt manageable starts to feel harder to steer. Choosing a PPC agency at that stage becomes less about day-to-day execution and more about finding a partner who understands how paid media fits into a broader growth system — one that connects strategy, data, and long-term direction.With that in mind, a few criteria tend to separate agencies that simply manage campaigns from those that help businesses grow:
| Strategic depth | Look for teams that can explain why they’re making decisions, not just what they’re doing. Strong strategy shows up in how campaigns are structured, how tradeoffs are discussed, and how priorities get set over time. |
| Transparent, outcome-driven reporting | Clear reporting connects spend to performance in ways leadership can actually use. That means fewer vanity metrics and more insight into efficiency, demand quality, and business impact. |
| Experience across industries and growth stages | Markets behave differently at different scales. Agencies that have seen multiple growth phases tend to anticipate challenges instead of reacting to them. |
| Responsible use of AI and automation | Automation plays a role, but judgment still matters. The right PPC agency knows how to guide and evaluate automated systems so performance stays intentional rather than opaque. |
| Alignment with internal teams | Paid media works best when it doesn’t operate in a silo. Agencies that collaborate closely with analytics, CRO, SEO, and internal stakeholders tend to drive more consistent results and clearer accountability. |
There probably isn’t a single moment when a business suddenly “needs” a PPC advertising agency. It usually shows up as a pattern. A few small frictions pile up. Questions take longer to answer. Confidence in decisions starts to wobble. Often, this is precipitated by symptoms that are worth keeping an eye out for:
At 97th Floor, PPC advertising strategy starts with a simple acknowledgment: paid media lives inside a much bigger system than it once did. Revenue targets, pipeline realities, internal constraints — all of that shapes what paid media can and should do. We take the time to understand those inputs early, because everything downstream works better when the destination is clear.
Paid search and paid social operate within shared frameworks, not separate silos. Insights move between channels, and performance signals actually get used instead of parked in dashboards. AI and automation play their part, but always with human direction. Our teams set guardrails, interpret results, and test assumptions so optimization stays intentional and grounded in outcomes that matter.But let’s be clear about one thing: That work only holds up when collaboration is real. That’s why our PPC teams partner closely with analytics, SEO, and CRO specialists to reflect how users actually move through the journey. Consider our work with JK Moving, where reshaping paid media around demand quality and intent alignment led to more qualified leads and better efficiency in a crowded market. This is what happens when strategy, testing, and cross-team coordination pull in the same direction.
Planning a PPC investment in 2026 requires more than setting a budget and choosing platforms. It starts with understanding where you are today and where paid media fits within your broader growth plans. As you get started, be sure to:
For more than 20 years, 97th Floor has helped enterprise brands grow through constant shifts in how media works — by staying curious, experimental, and deeply invested in what’s changing next. Our PPC management approach blends strategy, data, and execution into systems designed for modern platforms, AI-driven optimization, and the realities of today’s paid media landscape.
So, if you’re ready to build a PPC strategy that supports long-term growth and adapts as paid media continues to evolve, we’re ready to help. After all, paid media has grown up. And with our help, your business can continue to grow right alongside it.
You’ve probably noticed it already: traffic behaves differently than it did a year ago. Pages that used to rank predictably now earn visibility one week and vanish the next. Meanwhile, AI Overviews, ChatGPT answers, and Perplexity summaries are shaping what people see before they ever reach your site.
That shift is exactly why marketers are rethinking their AI SEO strategy for 2026. How do you get the right consumers to actually engage with your brand, not just the search engine? Your brand needs to be more trustworthy and recognizable, not only to your audience but to search engines themselves.
We’ve spent the last two years running experiments across generative engines, structured data setups, and entity-driven content frameworks. What’s working now is brands that pair technical precision with human expertise. This AI SEO guide breaks down how to build that kind of strategy step-by-step so that your brand is referenced more and seen by the people that matter the most to your business.
An AI SEO strategy is simply a plan for helping both search engines and generative models understand who you are and why your content should be referenced. Instead of worrying only about where a page ranks, you’re thinking about how clearly your brand shows up across topics, how well your expertise is represented, and whether AI systems can confidently pull from your work.
As search shifts toward AI search optimization, engines rely more on clean structure, consistent language, and content that makes your perspective easy to identify. The same applies to generative engine optimization, where models look for reliable patterns, strong entity definitions, and authors who actually know their subject. We have to present our knowledge in a way machines can recognize while still writing for real people.
AI rewired how information gets pulled together. Generative engines break your content into smaller pieces, look for patterns across topics you cover, and compare your explanations against other credible sources. They’re not scanning the page the way a crawler would, but actually interpreting it.
That shift puts more weight on things that used to feel “nice to have.” Topical depth—how thoroughly you cover a subject across multiple pieces—helps models understand your expertise beyond a single URL. Since AI can interpret it now alongside your audience, it matters just as much on the technical side.
If you know how SEO works, it’s time to revise your playbook with AI in mind. Some teams have strong technical foundations but haven’t mapped their content in a way AI can follow. Others have great material but no clear structure tying their expertise together. These five steps outline the patterns we’ve seen produce meaningful gains as we have learned how to optimize AI SEO.
The first step to your SEO strategy with AI is getting an idea of how your content ecosystem performs when a model tries to interpret it. A standard audit won’t surface everything you need, so an AI-focused review looks at things like entity coverage, schema accuracy, internal connections between pages, and whether your explanations stay consistent across topics.
Ask yourself:
Once you know where things stand, set goals that track both search performance and AI visibility. Rankings matter, of course, but push beyond them, too. You want to see how often your content shows up in AI Overviews and if you’re keeping up with your competitors, especially if they are showing up in the search engine optimizations.
From there, map where your expertise naturally fits within broader topical clusters. This helps you see where you already have momentum and where the gaps are. AI tools can support the analysis, but choosing what to deepen or retire still depends on your priorities, not just what a model suggests. It also helps to take a quick look at how competitors show up in generative engines to spot topics models already associate with others in your space.
Generative engines are trying to decide whose explanation is dependable enough to reuse, and they look for signals that reinforce your expertise across multiple touchpoints and content pushes. As you look at your own content, a few signals often determine whether a model treats your work as dependable:
Make sure your best thinking shows up in places where AI can recognize it: expert-led articles, well-structured pages, digital PR that puts your name in the right conversations, and formatting choices that make your expertise easier to parse.
AI fits naturally into most SEO workflows once you know where it adds real lift. Traditional SEO still does the heavy lifting like crawling, indexing, and information architecture, but AI gives you a faster way to understand how topics connect from a model’s perspective.
Here are the areas where teams tend to see the biggest gains:
AI sharpens what you already do well and reveals opportunities you’d otherwise miss. Your strategy stays intact; your visibility grows because your decisions get better inputs.
Strategy matters, but execution is where most teams either gain leverage or fall behind. The difference often comes down to how you work with AI day-to-day — not just the tools you use, but the way you interact with them. Here’s a quick example of what that collaborative mindset looks like in practice.
AI sharpens what you already do well and reveals opportunities you’d otherwise miss. Your strategy stays intact; your visibility grows because your decisions get better inputs.
Generative tools don’t read your pages front to back. They jump around, grab pieces that answer specific questions, and stitch them together. When your content is organized in a way that gives them strong pieces to pull from, you show up more often and with better representation.
Here are a few patterns we’ve consistently seen help:
When you’re writing and producing an article, ultimately remember that you are giving models well-labeled building blocks that AI wants to use.
However tempting it is to hand everything off to the bots, the human touch really is irreplaceable and still important when it comes to rankings. Original thinking creates ideas and patterns that don’t appear anywhere else, which gives engines something completely unique and distinct to work with.
Here are a few simple things you can do to stay competitive if you do use AI.
When your content reflects the way your team actually thinks, generative engines pick up on that brand and reliability—and your audience does, too.
You need a mix of signals that show how people interact with your pages and how often AI systems lean on your work. Most teams end up watching a handful of KPIs that capture both sides of the picture:
Make sure to review your data so you can spot emerging trends and identify the content that is earning your citations.
The cool part about AI is that it is designed to work with you. You don’t have to throw everything you know and do out of the window. Don’t lose the traction you have gained. Instead, try to show up in generative results by overlapping with strong existing campaigns, PR, and content marketing strategies.
A few areas benefit the most from tighter alignment:
If this seems like a daunting task, an AI SEO agency can help your team bring all this into focus so that you are uniform across the board.
If we’ve learned anything in the past few years, it’s that search won’t settle into one format. Over the next few years, we anticipate that AI summaries, traditional SERPs, voice interfaces, and image-based queries will exist side by side, and brands will need to show up consistently across all of them. Conversations around the future of search already point to a mix of text, visuals, and conversational interfaces shaping how people find information. Teams that adapt early influence how models interpret their space, and those impressions tend to last longer than a single ranking shift.
It’s a new world we’re navigating in AI search, and the brands gaining traction are the ones treating this as an opportunity and not a barrier. Tighten up your messaging, crystallize your structure, and be the voice online that models can learn from. That’s the simple version.
The long version takes a lot of time, analysis, trial and error, and tracking. If you want a partner that can help you get right to the impactful steps, 97th Floor helps teams get a better read on how they appear in generative search and where the strongest opportunities sit. Our AI SEO services give you a practical path to better visibility without overhauling the work you already trust.
When’s the last time that Google sent you search results that weren’t at all what you were looking for? It’s rare, but it’s happened to all of us.
Maybe you searched for a recipe and ended up with a 1500-word blog post instead.
Perhaps you were looking for a list of the best blenders with product reviews but got an in-depth piece on “how to choose a blender” instead.
Maybe you were looking for broadcast details for a sporting event and landed on a product page for a streaming service.
Each of these are examples of a misalignment of page type when compared to user intent for each search query. And because of that frustration that you and countless other users feel in those situations, a main priority for Google’s algorithm is to correctly decipher user intent and align results and associated page types accordingly.
This is why page types matter so much in SEO strategy. Let’s dive into it, and how you can shore up your strategy to incorporate this key piece.
So, what do we mean when we say “page type”? Generally speaking, most written content online falls into a certain format based on user intent and where they are in the funnel. For example, some of the main page types include:
Depending on what a user is expecting to see, an appropriate page type can make all the difference to their experience — and by extension, your ability to capture their attention and prevent them from bouncing.
In the early days of SEO, less-sophisticated algorithms didn’t consider page type. It was not uncommon to see a bottom-of-the-funnel product page turned into a Frankenstein’s monster of a blog post in order to stuff in as many keywords as possible.
Today, user intent and experience are more important than ever, and that includes selecting the appropriate page type for each keyword and optimizing accordingly within that format.
You know that page type matters. And you know you need to match it to user intent. But how do you do that? Let’s break down the most common page types.
Users searching a specific brand or service name are typically looking to go directly to branded pages with essential information and straightforward navigation. This might include existing customers looking to log into their accounts, or those who are already familiar with the brand through other demand generation or nurture strategies.
If your keyword starts with “how,” “what,” or “why,” then your best bet is blog or similar informational content. Even if those words are not included, however, most higher-funnel keywords will also fall into this category—as well as a significant chunk of mid-funnel queries. If intent is not immediately obvious, it typically only takes a quick Google search to identify the main intent of users searching for these keywords.
When users are in the consideration or mid-funnel stage of the buyer’s journey, they are likely to be actively researching and comparing various solutions to their problem. As such, case studies and comparison-type content is most appropriate for these queries. Mid-funnel blog content or category pages may also be appropriate for some topics. Keywords including “best” or “reviews” are good candidates for this page type.
At the bottom of the funnel, when users are ready to buy, it only makes sense to serve them with landing or product pages. In these cases, conversion should be the priority, but there are still ways to optimize for the SERP.
Over the years, Google has attempted to prioritize user intent as much as possible. The type of page that shows up in a SERP is determined by what Google thinks the user is looking for.
Sometimes, Google will test different page types, or show a mix of page types in order to meet varying needs of different users searching for the same keyword. In these cases, SERPs may be broken up by page type and thus limit the quantity of that page type that will show on page one.
For example, only two of the spots on a certain SERP may be reserved for product pages. , If you have a product page that you want to rank for that SERP, you will have just two chances, rather than the full 10, to get it to rank. This makes understanding the correct page type for your strategy even more essential.
Do I Have the Right Page Type for my Keyword?
Ensuring that your page type matches the keyword for which you want to rank will be much easier if you start with a full understanding of your audience and customer journey. Audience insights should inform your keyword selection, help you group keywords into audience-focused topic clusters, and provide a check that you have keywords across every stage of the funnel.
From there, you can derive search intent through keyword and SERP analysis, identifying which page types dominate the top results in each case.
Building a Balanced Site Architecture
Customer journey insights are also essential in organizing your site content into a structure that is easy for both Google and users to understand. Each funnel stage should contain corresponding content, with internal linking between them, to craft the user journeys that make the most sense in order to nurture customers towards final conversion.
Now that we have established that not all pages are built for the same purpose, it should be clear why optimization must be tailored accordingly. Each page type has its own goals, layout, and optimization priorities, all designed to serve user intent while sending the right signals to search engines.
Homepage and Brand Pages
Focus: Discoverability and crawl depth.
These pages act as gateways, helping both users and search engines navigate related sets of products or topics.
Best practices: Ensure proper internal linking to and from subcategories or product pages. Use canonical tags and pagination control to avoid duplicate content.
Pro tips: Metadata should be optimized for clarity and click-through-rate (CTR). Site structure and navigation should match content topic clusters and optimal user experience.
KPIs:
Blog and Resource Articles
Focus: Education, authority, and shareability.
Blog content should build topical authority and provide genuine value to readers. These pages often target informational or mid-funnel queries and play a crucial role in internal linking and audience nurturing.
Best practices: Use clear heading hierarchies, optimized images, and schema markup for articles. Include strategic internal links to guide users (and crawlers) toward related content and next steps.
Pro tips: Blog keywords should fit into a cohesive topical authority strategy. Just because a blog article is not intended to convert right away, does not mean that you cannot guide the user to eventual conversion. Mapping out cohesive topic clusters and customer journeys with your content will not help Google and users understand your business
KPIs:
Landing and Product Pages
Focus: Conversions, minimal distractions.
Landing and product pages exist to drive a single action, such as a form fill, demo request or purchase. The key is to minimize friction and distraction on these pages so the user has a clear path to conversion.
Best practices: Keep navigation limited to maintain focus. Align target keywords with ad or campaign messaging for consistency and relevance. Prioritize mobile performance and fast load times to support both user experience and Quality Score.
Pro tips: Metadata can almost be thought of in the same way as you would a search ad at this stage — the goal is to capture as many of these high-intent users as possible, and click-through-rate optimization is essential.
KPIs:
Comparison and Case Study Pages
Focus: Clarity, rich product info, and trust signals.
These pages are built for decision-making. Users arriving here want to understand features, pricing, and proof points before they buy.
Best practices: Implement structured data and FAQs to enhance SERP and LLM visibility. Use unique, detailed descriptions and user reviews to strengthen credibility and avoid duplicate content issues.
Pro Tips: Proper content hierarchy will aid in ranking for research queries, as well as improving user experience and engagement metrics. Formatted elements such as lists, FAQ sections, and comparison tables will aid your chances of showing in AIO.
KPIs:
No matter how badly you may want to get a certain page ranking for a specific keyword, it won’t happen if Google does not believe it matches user intent correctly.
One of the most common mistakes is trying to force it anyways, attempting to rank a blog post for a transactional keyword, or using a product page to target an informational query. Google quickly identifies the mismatch, and users do too. This results in poor rankings, low engagement, and wasted investment on content that fits neither the user’s needs nor your own goals.
Page type dictates how both Google and users interpret your content. A balanced SEO strategy ensures you have the right mix of page types across the funnel — aligning intent and format throughout, and giving you the best chance of boosting both rankings and conversions.
Running an ecommerce business is a lot of work. You’re managing all your products, solving your customers’ problems with great services, and trying to grow in a competitive industry. With AI changes coming to SEO as well, it’s hard to know where to start with SEO and marketing. The good news is you don’t have to figure it out on your own.
This guide explores the current state of ecommerce SEO with AI optimization involved and where it’ll be going in the coming years. Read on to learn how to handle your SEO to keep your ecommerce brand thriving.
Ecommerce SEO is the process of optimizing your online store so that your product pages, category pages, and brand pages rank higher in search results. Unlike traditional SEO, which often focuses on blog content and service pages, ecommerce SEO also deals with thousands of SKUs, filtering options, navigation, and constantly changing inventory.
Executing an intentional ecommerce SEO strategy is essential because organic search is one of the strongest revenue channels for online retails. When shoppers search, they’re already showing intent to buy—so ranking higher gives you the chance to be the product they see. Effective ecommerce SEO makes sure the right products appear at the right time for the right customer, which can help both your immediate sales and long-term brand visibility.
Even the most advanced AI tools and content strategies won’t deliver results if your key ecommerce SEO fundamentals aren’t in place. Before scaling product content or experimenting with automation, your site needs a strong technical foundation that helps search engines and AI tools discover and trust your pages. These four essentials make your store findable, fully crawlable, and ready to compete in organic search.
Search engines need clean, discoverable paths to your product and category pages. Use robots.txt and XML sitemaps to guide crawl behavior and make sure the most valuable URLs are included. For very large catalogs, monitor crawl budget and prioritize high-converting or frequently searched products so that they’re indexed quickly and consistently.
Filters, sorting, and faceted navigation can create thousands of parameter-based URLs that look like duplicate pages to search engines. Instead of letting your best pages get lost to crawlers, use canonical tags, “noindex” rules, and URL structure. In addition, check that you don’t have any actual duplicate pages and that could be confusing both your users and the search engines and consolidate those.
Most ecommerce traffic now comes from mobile, so your site must be fast, responsive, and easy to navigate on a phone. Optimize Core Web Vitals at the template level so that your product and category pages load consistently and quickly on any device. Other ways to pick up your site speed include compressing product imagery and streamlining scripts.
Structured data helps search engines understand and display your products more effectively. A good way to help create structured data is to add products, reviews, pricing, and availability schema to your site. This provides your customers and search engines with rich results like star ratings and stock status in search listings. Keep your schema updated to reflect inventory changes so that shoppers receive accurate, up-to-date information before they even click.
AI and SEO go hand-in-hand. AI helps you scale what used to require hours of manual research, writing, and analysis. It can cluster thousands of keywords into logical product and category groups, personalize recommendations based on user behavior, and forecast demand by analyzing past performance and seasonality. AI search SEO allows you to build smarter navigation structures and target intent-based search opportunities more effectively.
AI can also automate repetitive tasks, such as generating product descriptions, meta tags, FAQs, and schema markup at scale. With the right prompts and review workflows, these outputs stay accurate to brand voice while freeing your teams to focus on higher priorities. AI-driven anomaly detection and performance monitoring tools can also surface issues—like sudden ranking drops, broken pages, or out-of-stock items—before they meaningfully impact your company.
However, AI should act as an assistant, not a replacement. Your team and your agency will provide the expert creative direction while AI speeds up the process.
A strong ecommerce SEO content strategy includes more than blog posts. The goal is to help shoppers make confident decisions while signaling relevance and authority to search engines. Here are a few ways to help build out your strategy.
Your blog should focus on topics that closely align with your products and the problems they solve. Target high-intent queries like comparisons, “best of” lists, and how-to content that moves potential customers toward purchasing.. Each article should support a product or category.
Evergreen content (like buying guides and care instructions) builds compounding search value over time. Seasonal or trend-driven content helps you stay relevant during peak shopping windows or product launches. Both matter—evergreen builds foundation and seasonal captures timely demand.
Long-tail content like “how to choose,” “best for,” and detailed FAQs helps potential customers confidently purchase. Some other content types you might want are comparison grids, sizing explanations, and care instructions.
Every piece of content should strategically link to the right product and category pages. Internal linking helps search engines understand relationships between pages and distributes authority where it matters most. Use clear calls-to-view products, related collections, or comparison pages to guide both users and search engines toward your most valuable URLs.
Off-page SEO helps build the authority, trust, and credibility that search engines use to determine which brands deserve top rankings. For ecommerce sites, it’s about earning signals that show your products are valued by real customers. Here are a few strategies to boost your off-page SEO:
As you scale, SEO needs often evolve beyond basic optimizations. Deciding whether to manage SEO in-house or to partner with an agency depends on your specific needs and goals. Most ecommerce SEO agencies offer technical audits, on-page optimization, content strategy, link-building, and performance reporting. They often bring specialized experience with product feeds, schema markup, faceted navigation, and large catalog indexing—areas that can be difficult for generalist marketers to manage.
If rankings are flat or your internal teams are stretched thin, an agency can help. Other common signals it might be time for agency help include frequent site changes, large or rapidly growing product catalogs, and the need for structured testing to improve performance.
When you need agency help, 97th Floor takes a strategic, outcome-driven approach that can change the way your company handles SEO. Rather than applying surface-level fixes, we optimize information architecture, content ecosystems, and product discovery workflows to influence full-funnel performance. Our team combines expert strategy with AI-supported execution to scale insights, reduce manual lift, and align SEO outcomes with real results.
Search engines need clear signals about which version of each page is intended for each audience—otherwise, rankings can become diluted and customers may land on the wrong currency, language, or shipping region. International ecommerce SEO helps you make sure shoppers see the right page for their location. Here are a few tips to get you started:
While position improvements matter, the real SEO impact shows up in revenue, conversion rates, customer lifetime value, and product discoverability. The goal is not simply to rank—it’s to drive profitable, sustained growth from organic search. Below are a few ways to track how well your SEO strategy is working:
When SEO goals map directly to revenue and merchandising priorities, it becomes a scalable lever for long-term ecommerce growth.
Even experienced teams can run into challenges when scaling product catalogs and content. Recognizing and resolving them early can help you grow sustainably and reach your customers effectively. To up your SEO strategy, make sure you avoid:
Ecommerce SEO is shifting from static keyword targeting to dynamic, personalized experiences powered by AI and real-time intent signals. AI search engines are getting better at predicting what shoppers want before they explicitly say it. That means personalized recommendations, dynamic product rankings, and individualized search results will become standard—requiring ecommerce brands to optimize for user intent and behavior.
Another development on the horizon is voice commerce and conversational queries.
As voice assistants and conversational interfaces evolve, queries are becoming longer and more natural. You’ll want to be ready to handle question-based searches, comparisons, and instructional content to meet shoppers where they are.
Shoppers increasingly search using images, screenshots, and voice—often all in the same product search. Product pages in coming years will need rich visuals, clean metadata, and structured information to perform well in visual and AI-driven environments.
Expect search results to look more like curated guides than lists of blue links. AI-driven shopping assistants will become commonplace, pulling product data, reviews, inventory, and pricing from multiple sources at once. Brands that invest now in structured data, differentiated content, and flexible content pipelines will be positioned to lead the next era of ecommerce discovery.
If you’ve ever Googled something in the last year, you’ve likely seen an AI summary pop up at the top of the SERP page. Whether you read that answer or not, having those AI summaries on search engine results has changed the way users interact with websites and the way SEOs are approaching optimization.
Even though SEO is shifting, there’s no reason to worry about its future. SEO is around to stay—and so is AI. The key is learning how to use both together in an effective way to get your content to your audience and to help you reap the benefits of online visibility. Read on to learn all about AI and SEO, best practices for adjusting your strategy, and where the future of search is going.
SEO is what helps your page show up on search engines to meet user queries. However, recently, the top slots are going to an AI summary, and the AI tool will search across pages to find information to fuel its responses. AI SEO also includes using AI like machine learning (ML), natural language processing (NLP), and predictive analytics as a tool in your own SEO process. It’s all about getting your website to display in AI searches as well as using it to help you improve your own work.
Unlike traditional search optimization, which largely focused on keyword placement, backlinks, and static algorithmic signals, AI-enabled SEO adds several new dimensions:
Here are some concrete examples of how AI capabilities are already being applied in search and SEO:
AI is reshaping the SEO landscape by powering smarter search engine results pages (SERPs) and fueling the rise of AI-driven answer engines. Instead of delivering a list of ranked blue links, modern SERPs often feature AI-generated summaries and at the top of a SERP to answer questions directly—reducing the need to click through to websites.
This shift moves the focus of SEO from traditional rankings to retrieval and representation. It's no longer just about being on page one—it's about being cited or summarized by AI models that interpret and surface the most relevant content from across the web. As a result, user behavior is evolving. Click-through rates (CTRs) on traditional organic listings are declining in some categories, while zero-click searches are increasing.
The goal now is to curate your content in a way that makes it easy for an AI tool to retrieve and summarize it.
Understanding which AI platform your content needs to perform in just got a lot clearer. SEO expert Eli Schwartz breaks down what Apple's partnership with Google Gemini means for the future of search — and why it cements Google as the dominant AI search platform you need to be optimizing for. This short video captures exactly how Google won the AI search war, and what that means for the strategy you're building right now.
As generative AI becomes more integrated into search engines and digital assistants, SEO strategies need to evolve to make sure your pages are staying on top and showing up in the right searches. AI usually considers these three key factors when choosing content to cite:
Certain formats tend to perform better in AI summaries, including:
AI can also help you work smarter, not harder. AI tools can automate keyword research, detect content gaps, and personalize experiences across channels to help you find the right areas to create content.
Integrating AI into your SEO strategy doesn’t need to be overwhelming. As SEO experts, we’ve worked hands-on with AI search optimization across many industries, and we’ve identified four best practices that can help your team adopt AI.
The best way to begin is with low-risk, high-visibility pilot tests. Try AI tools on smaller tasks—like keyword clustering, meta tag suggestions, or content outline generation—and track performance over time. Use these early experiments to measure output quality, workflow impact, and time savings. Once you understand where the tech shines (and where it doesn’t), you can scale up confidently.
Choose AI tools that work well within your existing SEO stack. You’re likely using CMS platforms like WordPress and Webflow or analytics tools like GA4, Looker Studio, or Search Console, and you want AI tools that work with those. Don’t just chase “shiny” AI features. Make sure they fit into your real-world systems.
AI is a powerful assistant but not a decision-maker. Use it to automate repetitive tasks, surface insights, and speed up processes, but keep humans in the loop for critical thinking and decision making. Humans need to make big decisions, look over AI content, and check for brand consistency.
AI in SEO is not a static playbook—it’s an ongoing evolution. Keep your team learning with hands-on training and encourage experimentation with new tools and techniques. Look for ways to bring real value into daily workflows: faster content ideation, smarter optimization, better insights. All of this will help you optimize for AI search SEO.
While AI gives you a wide range of advantages with SEO, there are some new challenges to prepare for, including:
As AI transforms how search works, the role of SEO professionals is evolving just as quickly. Instead of spending time on purely manual tasks—like keyword tagging, metadata updates, or technical audits—SEO pros are stepping into more strategic roles. Their job isn’t just to optimize for algorithms, but to understand how people and machines interact.
AI is a powerful tool, but it complements—not replaces—human expertise. Machines can generate content, identify trends, and automate repetitive tasks, but they can’t replicate human creativity. SEO teams must now balance automation with context, voice, and long-term vision.
At 97th Floor, we’ve embraced this shift by changing the name of our SEO department to the Search Department. This rebrand reflects a broader mandate: we’re no longer optimizing only for search engines—we’re optimizing for how people experience search across AI chat, answer engines, smart devices, and traditional SERPs.
As AI reshapes how people discover and consume content, the way we measure SEO success must also evolve. Here are our tips for measuring success.
The future of SEO is about aligning with how AI understands, retrieves, and delivers information. Several key trends are shaping what’s next:
To stay competitive, SEOs must prepare for ongoing shifts by adopting agile processes, investing in AI literacy, and building systems that track visibility across traditional and AI-powered platforms.
If you want to see what can be done with AI SEO strategy, look no further than 97th Floor’s campaign with Princess Cruises. We helped Princess Cruises move beyond siloed pages toward a tightly interlinked topical cluster model. The aim was to layout content in a way that signals topical authority, which helps AI systems find more contextually rich responses and increases the chance that Princess content is cited or summarized in AI-driven overviews.
The results were dramatic:
By marrying strategic direction with hands-on execution, we turned AI‑centric theory into concrete gains—while proving that human judgment, agility, and domain knowledge remain indispensable.
If your SEO team is wondering whether AI‑driven search is already rewriting the rules—this case shows it is, and early wins are possible. The shift is not hypothetical. It's real, and the rewards go to teams that think differently about content structure, authority, and AI visibility.
If you'd like to explore how generative search can work for your brand—or see how 97th Floor can help you architect a strategy and workflow—learn more about our AI SEO services.
Running an ecommerce brand in 2025 is like hauling feral cats out of a burning building — noble work, but try it alone and you’ll come out with more scars than survivors. That’s because ecommerce isn’t a single challenge; it’s dozens of moving, clawing parts that demand your attention all at once. Scaling an online store goes way beyond having great products. Visibility, customer experience, and platform mastery all play a role in turning browsers into buyers.
Ecommerce agencies step in as that extra set of hands. They handle the heavy lifting across SEO, paid ads, conversion rate optimization, design, and retention so you can focus on keeping your business upright and your capital from bleeding dry.
In this guide, we’ll cover what ecommerce agencies actually do, how to know if it’s time to hire one, what makes a ‘best’ agency stand out, and seven agencies in the U.S. worth your attention in 2025 — including ours (because, full disclosure, we’re really good at what we do).
If you’re reading this, you probably already have a sense of what an ecommerce agency does. Still, let’s not skip the basics.
An ecommerce agency is a specialized partner built to help online stores grow faster, smarter, and with fewer headaches. Unlike general digital agencies, ecommerce agencies focus specifically on the unique demands of online retail.
That means:
They’re measured by commerce-specific metrics like average order value (AOV), lifetime value (LTV), return on ad spend (ROAS), and retention — not just traffic or impressions. All of this is to say an ecommerce agency’s job isn’t finished once visitors land on your site. Their role is encouraging those visitors to stick around and actually buy something.
We’re not going to sugarcoat it: Hiring an ecommerce agency isn’t cheap. But the right one can more than pay for itself by uncovering growth opportunities you didn’t even know existed. It’s like figuring out which wire to cut on a ticking bomb after watching one YouTube tutorial. Technically possible, but maybe bringing in a professional would be safer?
In other words, the benefits go way beyond saving time (though that’s nice, too). Here’s why brands turn to ecommerce agencies in 2025:
Without checking any listings, we’re pretty confident in telling you that there are thousands of agencies out there ready to take your call. But what separates the good from the genuinely great? Flashy websites and slick pitch decks are nice, but results are what actually matter. The best ecommerce agencies prove their worth by showing exactly how they’ve helped brands move the needle.
Not every agency that slaps ‘ecommerce’ on its homepage is worth your budget. The best agencies share a few traits:
Statista projects that worldwide ecommerce sales will hit roughly $3.66tn by the end of 2025. And, if you’re like me and don’t immediately recognize ‘tn’ as a unit of measurement, it stands for trillion (12 zeroes). That’s a lot of potential growth; having a dependable agency by your side can help your business carve out its share instead of getting buried under everyone else’s.
You made it. This is the list you came here for. These seven agencies stand out in 2025 not only for their services, but for their ability to deliver measurable, platform-specific results. We’ll cover who they’re best for, what services they offer, and what makes them different in a crowded space.
Best for: Integrated growth across SEO, paid, and conversion optimization
Most agencies promise growth. 97th Floor has made a business of proving it. With deep roots in content, SEO, and analytics, 97th Floor doesn’t just help ecommerce brands ‘get more traffic’ — they work with you to align every marketing channel to generate more sales, more efficiently.
97th Floor is a full-service growth agency with a knack for turning ecommerce complexity into measurable outcomes. Their bread and butter includes:
If you want a partner that doesn’t just tweak one channel but instead pulls the whole system into alignment, 97th Floor is a top choice.
Best for: Content-driven ecommerce growth
Content is king, but only if it ranks — otherwise it’s just some obnoxious court jester that capers around the digital courtyard juggling outdated keywords (don’t mind me; just stress testing a metaphor). Siege Media built its reputation on creating research-backed, SEO-optimized content that ecommerce brands can use to win organic visibility. If you’re tired of writing blog posts that nobody reads, this is an agency that can change the story.
Strengths include:
If organic growth is your north star, Siege is the kind of agency that can help you outrank competitors without relying solely on ad spend.
Best for: Platform migrations and storefront optimization
Technology can be a brand’s biggest advantage — or its biggest bottleneck. 1Digital® Agency specializes in fixing that problem by making sure your storefront is fast, functional, and scalable, no matter which platform you’re on. Whether you’re moving from Magento to Shopify, need a WooCommerce overhaul, or want to unify your BigCommerce setup, they’ve been there.
They offer:
Overall, 1Digital® Agency is a good fit for brands with growing pains tied to their tech stack.
Best for: ecommerce SEO at scale
SEO may not be flashy, but it’s the backbone of sustainable ecommerce growth. WebFX has built a reputation on measurable outcomes, particularly around SEO. They’re a fit for ecommerce brands that want more organic traffic and are ready to invest in long-term visibility.
Services include:
They’ve worked with thousands of clients and have the scale to match complex ecommerce needs.
Best for: Amazon and marketplace strategy
For many brands, Amazon is both an opportunity and an obstacle — massive reach, sure, but also high fees, fierce competition, and limited control over the customer relationship. Nuanced Media helps navigate that complexity by giving you a strategy not only for your own storefront, but also for Amazon, Walmart, and other marketplaces where your customers are already shopping.
Highlights:
Great for brands that want to diversify beyond their own dot-com.
Best for: Conversion rate optimization and UX
If you’ve ever looked at your analytics and thought, Why aren’t more people buying? Inflow is the agency built to answer that question. They specialize in conversion rate optimization and user experience, making sure the traffic you already have does more heavy lifting.
Core strengths:
Traffic is great. Conversions are better. If your store has healthy traffic but underwhelming conversions, Inflow is a CRO partner to look at.
Best for: Performance marketing and paid growth
Growth often comes down to how well you spend your ad dollars. Upgrow focuses on performance marketing — paid search, paid social, and scaling strategies — so ecommerce brands can grow quickly without throwing money into the void.
They offer:
For ecommerce brands ready to put budget into scaling, Upgrow brings the paid expertise to do it properly and profitably.
This has been fun, hasn’t it? I mean who doesn’t love a good listicle. But it's worth recognizing that knowing who the top agencies are is only the first step. The real challenge is figuring out which one you actually want a long-term relationship with. You’re not swiping for a quick fling here — you’re looking for a partner who won’t ghost you when the budget conversation gets awkward.
Not every agency offers every service, but most ecommerce specialists fall into one or more of these categories. Think of it like a restaurant menu — you don’t have to order Ultimate Feast, but it’s good to know whether crab is available and if the lobster is fresh.
The service menu is broad, but most ecommerce agencies will cover some or all of these areas:
Do you need all of that? Maybe not. But if you’re building a working relationship with an ecommerce agency, then it might be a good idea to find one that can do everything in case your needs evolve somewhere down the line.
We sell ecommerce services, so maybe we’re not the most objective source to be asking. But we also get it: in an economy like this one, it doesn’t make sense to invest in something you might not need. If that’s you, and you’re wondering if ecommerce is the next step for your business, consider asking yourself the following questions:
In the ‘in-house vs. agency’ debate, the tipping point usually comes when you realize a single marketing hire can’t cover the breadth of expertise you need. Agencies provide a full team of specialists for the cost of one or two more employees.
At this point, you know what ecommerce agencies do, you know what makes a great one, and you know which names stand out in 2025. So why should you consider 97th Floor? The short answer: because we choose not to focus on optimizing channels and instead put our expertise to work optimizing outcomes.
97th Floor has helped ecommerce brands grow by aligning creative, technical, and analytical expertise into a single strategy. Our teams handle everything end-to-end:
At 97th Floor, the goal isn’t isolated channel wins. The goal is connecting those wins so they push the whole business forward (metaphorical cats and all).Ready to scale smarter? Let’s talk. Contact 97th Floor today to see how we can help your ecommerce brand grow in 2025 and beyond.
An ecommerce agency helps online businesses grow by improving visibility, traffic, and sales. Their work usually covers SEO, paid ads, conversion rate optimization (CRO), email marketing, UX design, and platform support (like Shopify or Magento). The goal is simple: bring more qualified buyers to your store and help them convert.
An ecommerce marketing agency takes a full-funnel approach, handling everything from ads to design to retention. An ecommerce SEO agency, on the other hand, focuses specifically on organic growth through technical SEO, content, and link-building. If you need broader support across multiple channels, a marketing agency is a better fit; if organic visibility is your biggest challenge, an SEO agency might be the right call.
The ‘best’ agency depends on your goals. Look at case studies, client results, and platform expertise. A good rule of thumb: startups often need quick traffic gains, growth-stage brands want conversion and scaling, and enterprises focus on retention and international expansion. Always check for transparency around pricing and reporting before committing.
Most agencies work with major platforms like Shopify, Magento, BigCommerce, WooCommerce, and Salesforce Commerce Cloud. Some specialize in one or two platforms, while others cover a wider range. Make sure your agency has direct experience with the platform your store runs on.
Signs include: steady traffic but low conversions, difficulty scaling into new channels or marketplaces, limited in-house expertise, or stagnant ROI from your current marketing. If your growth feels stuck, an agency can bring the team and tools to push past that plateau.
Common KPIs include revenue growth, conversion rate, return on ad spend (ROAS), average order value (AOV), customer lifetime value (LTV), and retention rate. These metrics tie directly to profitability, making them more useful than vanity metrics like impressions or raw traffic.
Curious about how to get your brand noticed on Perplexity Search? You’re not alone. With Apple’s rumored acquisition of Comet making headlines, marketers everywhere are wondering if this AI-powered browser might be the next big thing in search. Whether you’re here to stay ahead of the curve or simply want your site to pop up in more AI-driven answers, you’ve come to the right place. Let’s dive into what makes Perplexity tick—and how you can use it to your advantage.
More than 2-thirds of smartphone users in the United States use an iPhone as their smartphone of choice. About 50% of all internet traffic starts on a mobile device in the United States. Being the default browser and search engine for 68% of half of all internet usage in the United States sounds pretty great right? That might be the reality for Perplexity and their new browser, Comet, as Apple is currently determining if they will go through with the 14 billion dollar acquisition. That is an eye popping amount of money for an acquisition of a company that has never turned a profit (actually lost $65 million in 2024). However it could be a leap forward in AI development for Apple who is severely behind its big tech competitors.It would also mean a real threat to Chrome and less reliance on using Google products on Apple devices. A true threat to Google Search is something that Google has not experienced in decades. The threat is given even more credibility by the fact that Comet is actually quite good and those who have tested it rave about the AI-enhanced browser with built in perplexity search engine. Even if the acquisition from Apple does not go through, it is interesting enough of a search product to look into ranking organically on the Perplexity search and optimizing web content for LLMs in general as the jump in AI-search queries has increased from 250m to 1.1 billion in the last year alone!
In one of our tests, we found that the top ranking page on Google, for non-branded terms, was never the same as the top result in Perplexity. Even more alarming was that each 1:1 query resulted in 85% unique results across Google and Perplexity. While there will be some principles of Search Engine Optimization that remain the same, the results are different enough that a close examination of the top ranking factors for perplexity was necessary. After analyzing SERPs using queries and prompts from multiple industries on Perplexity, we have compiled our top ranking factors for Comet, and the Perplexity search engine here.
The best way to strategize for Perplexity Search is to like traditional SEO, break it out into on site, or on domain optimizations and off page or off domain optimizations. Only off page and on page optimizations don't mean quite the same thing for LLM optimizations as they do for traditional SEO. Below are the most impactful on page and off page optimizations for perplexity search.
From tests we have been running with our clients, we found that the first place that an LLM bot will go to find information about your brand and how it fits into the market, is by analyzing the brand’s own domain. The home page, about us page, any solutions, services or product descriptions, are all very common sources of information for the Perplexitybot and other LLMs. Which is great news for marketers and website managers, that is owned content that is generally very easy to optimize. The LLM will go to your brand’s domain for information about what you do and who you serve, then look to external sources in your industry to back up the claims you made on your own domain. The following are off page optimizations that will boost your presence when your audience is searching on Comet.
Perplexity user experience is much different than OpenAI GPT, Google’s Gemini, or Claude, primarily in its use of source cited and clickable elements in the generative responses. If traffic is still a metric SEOs and website managers are interested in increasing, Perplexity winning the AI race seems to be the best chance website owners have at seeing increases in referral traffic. So how is optimizing for Perplexity Search? Here are a few things to consider:
The team at 97th Floor is doing the work to find every opportunity to increase brand awareness on new and tried and true platforms. Perplexity’s new browser, Comet, has real potential to be a widely used search engine and make a dent into Google's Search market share dominance. When and if that happens, we will be fully prepared to optimize for Comet. Lets connect, our team will do an AI-search competitive analysis for your brand free of charge, to identify opportunities in AI search and if your audience is already adopting Perplexity Search and using the Comet Browser.
Defender Safety creates innovative head protection gear. Their helmets are designed by engineers to surpasses industry standards, work with helpful accessories, have 360° ventilation, and can reduce brain injury by 28%.
Defender Safety had an email marketing setup, but had never invested time to develop it. Guided by our person research, we identified it as a viable channel to target as part of our strategy. 97th Floor took the lead in developing and executing on this channel.
97th Floor's strategy began with comprehensive audience research to inform messaging and segmenting customers based on their purchase history. Segments distinguished between high order value B2B customers and lower order value B2C customers.
Using Klaviyo's automation capabilities, the team implemented triggered email flows, including abandoned cart sequences to recover potential lost sales. 97th Floor's design team perfected the technical and visual design of the emails, guaranteeing that all emails displayed perfectly across every device. Designers took into account various factors such as light and dark modes, font compatibility, and responsive design elements.
97th Floor also completed a thorough cleanup of existing email lists to improve deliverability rates and boost overall engagement metrics.
Defender Safety knew that email marketing could be a profitable strategy. All they needed was a dedicated team to make it happen. 97th Floor handled every component of email, from segmentation to technical design, to produce substantial revenue increases for Defender Safety.
If you have Googled anything in the last few years, you’ve likely come across an AI overview that summarizes some of the ranking pages to answer your query. Or maybe you wondered about the history of the Ottoman Empire or needed instructions to refill your car’s oil and turned to ChatGPT. AI is taking online search by a storm.
For search engine users, the rise of AI has made getting synthesized summaries of all the top internet easy. For companies and SEO experts, it involves figuring out how to adjust your content strategy to keep your content visible and to reach your customers. That’s why we’ve put together this guide on the future of AI search SEO to help you figure out where and how to tweak your content strategy to be ready for the growth of AI SEO.
Unlike traditional search engines that rely on keyword matching and indexed pages, AI-powered systems use large language models (LLMs) to interpret natural language in an attempt to deliver nuanced, conversational results.
Some of the leading AI search tools you may have used or heard of include:
Search is undergoing a fundamental shift that’s only getting started. In May 2023, Google began rolling out Search Generative Experience (SGE), now rebranded as AI Overviews, which places AI-generated responses above standard results. Microsoft integrated AI mode into Bing in early 2023 using ChatGPT-4, while platforms like You.com and Perplexity launched AI-first search tools that prioritize summarization and citations. Search engines now are prioritizing their own AI summaries at the top of the SERP in what used to be prime real estate for SEOs.
These AI tools are changing the way people interact with SERPs. In fact, a study from the Pew Research Center in May 2025 notes that people are significantly less likely to click on web pages listed in Google search results if there’s an AI summary present. They also only rarely click on the sources listed by the AI summary.
With the shift in how users interact with search engines, SEO is going to shift too.
Traditional SEO is built around optimizing for search engine crawlers and ranking within standard SERPs. This includes tactics you’re likely very familiar with, such as:
GEO—Generative Engine Optimization—targets AI searches. Large Language Models don’t crawl; they try to interpret the context and evaluate:
Because LLMs respond to context and credibility, not just ranking signals, you want to optimize content for semantic relevance, not just visibility. Adding GEO to your content strategy is another way to make your content visible in those AI-generated summaries—though traditional SEO still matters as well.
So if AI is going to change the way people search (and already is starting to do so), you need a content strategy designed to fit in that landscape. These are our four top tips for creating content that your readers will love and that works with AI.
Content these days has to walk a very fine line: being written for humans and for AI accessibility all at the same time. You don’t want to write a brilliant piece of long-form content only for it to be lost in the ether of Google, but you definitely don’t want to end up with AI slop. Some ways you want to cater your content for your readers and for AI include:
The goal here is to write content for your human audience but to make sure it’s fully AI accessible afterward. At the end of the day, good content is still king, so prioritize having well-written content and avoid losing that human touch while optimizing for AI search SEO.
AI works like any other search engine: it will rank your pages higher if they’re correctly set up with appropriate metadata. While AI tools don’t crawl the web like traditional bots, they still rely on structured, well-maintained websites. Technical SEO helps ensure your content is indexed by both search engines and used by AI models that reference top-ranking pages. Prioritize:
Just like with Google Search, AI systems reward content that’s well-structured and technically sound.
Optimizing for search engine results page (SERP) features can improve your visibility in both traditional and AI-generated summaries. Focus on:
Appearing in these SERP features improves your chances of being referenced by AI models—and therefore coming across your readers’ screens.
If you’re looking to build your pages in a way that makes it easy for AI tools to scan your content, focus on these five strategies:
By following these principles, your content becomes easier for AI models to recognize—which then helps you stay visible in the next era of online searches.
Even though it might feel like the search landscape is rapidly evolving, the core principles of technical SEO remain as important as ever. In fact, SEO hasn’t really changed—it’s only expanded to include AI searches. Staying on top of and implementing foundational technical best practices still pays dividends, both in traditional rankings and in AI-generated search results.
Structured data helps both traditional search engines and AI systems better understand the context of your content. Using it can help your content get featured in snippets and AI overview citations. To get the most out of your structured data:
Well-implemented schema makes it easier for AI systems to identify key facts and understand the relationships between ideas—boosting your content’s chances of being referenced in AI search results.
AI-powered search is no longer limited to just text, and your content strategy can capitalize on that. Many search engines and AI assistants now support multimodal inputs and outputs to blend text, images, and video to meet user needs. Make sure your site:
By incorporating diverse formats, you increase your visibility across a variety of SERP features. Your site could end up as the cited image in an AI overview or in an image carousel. That visibility will make your content more accessible and expand your reach.
All the general tips we’ve talked about so far are best practices for any type of AI search tool. While many core principles remain consistent, each model has its unique behaviors and ranking preferences. Some of the most prominent and widely used AI search engines—and the ones offering the most trackable performance insights today—include:
AI systems reward conversational content that mimics how people talk, so here are a few tips to optimize for conversational queries and natural language prompts:
By tailoring your content for the nuances of each platform—and optimizing for how people naturally ask questions—you’ll increase your visibility in both AI-driven and traditional search environments.
Traditional SEO tools may not yet offer complete coverage of AI-driven search experiences—but a new wave of reporting solutions is emerging to bridge the gap.
There are a lot of SEO metrics, but which ones matter for AI search SEO? Key metrics to focus on include:
Since AI search focuses more on credibility and relevance than on traditional rankings, visibility can come in the form of mentions and summaries rather than blue links.
While AI searches are still relatively new, there are tools that are adapting to help you keep track of your most important metrics:
As AI search adoption increases, expect more tracking solutions to emerge. Just like SEO matured with its own analytics stack, AI SEO reporting will become a core part of modern marketing analytics within the very near future. Start experimenting with these tools now to stay ahead of the curve and get a head start above your competitors.
Working with AI to produce AI-optimized content is increasingly essential. Modern AI systems—like ChatGPT, Gemini, and MarketMuse—can help you with identifying content gaps and topic clusters that you can write about, speed up the drafting process, and create content outlines for you.
Don’t think of AI replacing your content creators. Instead, pair AI with human experts to speed up the content creation process without losing what makes human-written content great.
Another way to AI-prep your content strategy is to apply the hub and spoke model. The hub and spoke model is a content architecture that creates a central “hub” page targeting a broad, high-value topic, supported by multiple “spoke” pages that address related subtopics in depth. Each spoke links back to the hub and to one another.
For example, when Maveneer came to 97th Floor in 2023, they wanted content that would rank, so we gave them a hub and spoke strategy with comprehensive overview hubs targeting keywords like “warehouse automation” and “order picking.” After establishing those hubs, we could expand to spokes with drill-down articles like “order picking technology” and “automated sorting systems” linked to and from the hub. This structure improves internal linking, site navigation, and topic authority to search engines and AI systems alike. In fact, for Maveneer, their domain authority R skyrocketed from 3 to 34, and they saw an 886% increase in search impressions YoY.
Search is evolving—and fast. More people are relying on AI to answer their questions and give them potential solutions. With AI browsers popping up, there are only going to be more AI search developments. These platforms don’t just display a list of blue links. Instead, they generate dynamic responses by pulling insights from multiple sources, often without traditional attribution or visible rankings.
For enterprise brands, this shift has major implications.
In this new paradigm, visibility isn’t just about ranking #1—it’s about being referenced, cited, or summarized by AI models at the moment a customer asks a question. Failing to adapt means losing organic visibility at critical touchpoints—especially early in the customer journey when buyers are still gathering information.
Enterprise brands that invest in AI search SEO now can make sure they’re ahead of the curve and stay visible. AI isn’t replacing internet searches—it’s reshaping it. And enterprise brands that evolve their strategies now will be best positioned to lead out in the next era of SEO.
Let us become your strategic AI SEO Partner. If you're ready to win in search, let's talk.
Our client is a premier cruise line that carries over a million passengers each year to more global destinations than any other cruise line.
When the premier cruise line approached 97th Floor to become the top Alaskan cruise line, we knew that traditional keyword-focused SEO wouldn't suffice. Search engines now evaluate brands holistically through E-E-A-T, requiring a comprehensive content strategy that engages audiences at every funnel stage.
To help Google and LLMs understand our client as the best option for Alaskan cruises, we shifted from targeting individual keywords to building comprehensive topic clusters. This created a network of interlinked content that demonstrates subject matter expertise while helping search engines understand content relationships and site architecture.
We strengthened on-page SEO elements and implemented strategic internal linking to establish interconnectedness between cluster content, ensuring all supporting pages link back to their respective pillar pages.
Deliverables
This growth reflects the impact of well-structured, high-intent content being surfaced prominently by AI tools—a strong signal that our content is recognized as authoritative and relevant.
Is user confidence in online content at an all-time low? AI-generated content dominates many key topics, and users can easily find themselves frustrated when searching, finding articles they could have generated directly from a chatbot themselves. There is also an increasing volume of content that is becoming commonly known as “AI slop.”
And that’s without getting into the other struggle: LLMs are not only competing for eyeballs on regular search engines, but also stealing traffic directly. As a result, sometimes it can feel like the rest of us are left to fight over scraps.
If the current outrage over AI slop proves anything, however, it’s this: users still want good content. And marketers still want to give it to them. So — with the internet noisier and more crowded than ever — how can we complete the matchmaking experience and find each other?
At 97th Floor, we have cracked the code, and we can prove it.
A brief history lesson
The internet has always been noisy, overcrowded, and full of shoddy content churned out by marketers hoping to maximize their reach. While many of us like to think of marketing as a noble profession (we are helping people solve their problems!), there will always be those who act in bad faith, trying to game the system however they can. It’s the whole reason “black hat” marketing exists.
Luckily, Google is fighting the good fight, and every update they have made over the years is done so in an attempt to improve the experience of the user, and get them closer to the type of content they need. This means that those focusing more on gaming the system and less on quality content are the ones who are typically hit the hardest by algorithm updates.
It’s the reason why, if you have been anywhere around content marketing, SEO, or even digital marketing in general for more than a few years, you will no doubt remember getting asked a question a million times, akin to “how do you balance SEO content and quality content.” Real ones know the truth: the best “SEO content” has always been high-quality content. And that kind of content is what has the power to withstand just about any algorithm update.
If that is not reason enough to focus on high-quality content, then let us also add this: The cost of bad content is steep. Analytics company CreativeX recently recently found that the average Fortune 500 company wastes approximately $25 million annually on content that fails to reach its intended audience or is not fully utilized.
It should come as no surprise, then, that the answer to combatting the current cacophony of AI slop is infuriatingly simple: produce high-quality content.
Ok, But…What Actually Is High-Quality Content?
I know, I know, that’s an incredibly unhelpful piece of advice. Because of course, anyone can claim to produce “quality content” but that means different things to different people. So, what do we mean when we say quality content? 97th Floor has a few principles that we have always lived by when it comes to both content and marketing in general.
1. High quality content is audience-focused
One of the main things that people get wrong about content marketing to this day is the how behind making the content itself audience-focused. As marketers, we can get caught up in how great we believe our solutions to be, that we get evangelical about the value that they bring — resulting in us pushing those solutions on our audience, rather than helping them. Quality content starts from a place of “what does my audience want or need?” rather than “what can we as a brand give our audience?”
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2. High quality content is relevant to your brand
Ok, so you have figured out what the audience needs, and you have a ton of great content ideas. The next pitfall that marketers commonly fall into is trying to write everything. To illustrate: Take a quick moment to Google “best” anything and look at all of the sites that wrote about it, despite it being completely unrelated to their brand, product, or mission.
3. You are an expert and/or uniquely qualified to write this content
Authority matters. You might think this is the same as number two, but there’s a slight but significant difference. Something may be relevant to your brand, but you still have to prove yourself uniquely qualified to write it. This might come from expertise, experience, unique insights, or all three. This is also where the human element comes into play — even before AI, but especially now — users want content that they cannot simply generate by asking an LLM themselves. A unique and specialized point of view is more important than ever.
You may have noticed that our three quality content criteria and the use of AI are not mutually exclusive. On the contrary, we are not anti-AI evangelists. In fact, we use AI regularly to aid in efficiency and accuracy in the content creation process. However, it is rare (perhaps impossible) for a piece of content to match all three criteria without first passing by a human expert.
A survey conducted by consulting firm Baringa provides insight into opinions regarding AI-generated content by internet users. A majority of respondents identified at least one reason to value human-generated content above AI-generated content, with 81% citing “authenticity” as the key feature. However, users did not overwhelmingly state that they would avoid AI altogether — especially when it came to the younger demographics.
The fight for quality content is not a fight against AI, rather a delicate dance to make sure that it is used in the most effective way possible.
I Thought You Said You Could Prove It?
Ok, sounds like a nice theory, but does it actually work in practice? And can you prove it? In fact, we can. We have a proven history of this approach to content succeeding time and time again — surviving algorithm updates, changes in user behavior, and more. Here are a few examples.
Blendtec
Earlier, we made the claim that high-quality content will stand the test of time — and withstand algorithm updates. A perfect example of this is an article from way back in 2014 that we produced for Blendtec. A simple listicle of peanut butter smoothies, and accompanying recipes.
It meets our three criteria to a T and was incredibly successful when published. It continued to rank for several important keywords and survive several algorithm updates over the course of the next 10 years, to remain a top-three traffic driver for the site.
Dr Will Cole
Another example can be found in this guide on increasing progesterone levels for Dr Will Cole that we published and optimized in 2022.
This article saw its biggest jump in traffic after an algorithm update in April 2023.
General Kinematics
But what about now? When AI is everywhere and AI Overview is stealing traffic from many pages. Well, we have countless examples of content that has survived the recent AI-pocalypse through following this simple formula for high-quality content. One such example this simple article for General Kinematics about uses for potash.
This content is audience-focused, brand-relevant, and something that General Kinematics — a producer of mining equipment — is uniquely qualified to write about. Published in 2022, it was automatically featured in AI Overview upon rollout of the feature in 2024, and has continued to do so since. What’s more: This page actually saw a 60.4% increase in traffic when you compare pre-AIO rollout to post-AIO rollout.
The bottom line: Google agrees with us. Every major and minor Google update in the past decade and change has been to get the search engine closer to prioritizing one of the three facets of quality content as identified by 97th Floor. For example:
1- Helpful content and other updates intended to prioritize user-first content.
2- Updates around brand authority, including recent updates that are deprioritizing irrelevant content for brands (or worse, brands that have spread themselves too thin and made it difficult for Google to assign authority).
3- This one goes beyond Google. Consider this: In a study of hundreds of thousands of citations, the most cited content type was product pages — by some margin. This means that this facet of quality content matters two-fold: Generic blog content is most likely to be directly replaced by LLMs, and product content — i.e. content that you are most uniquely qualified to write — is most likely to be cited. With optimizing both for and against LLMs becoming an increasing priority, this may be the most significant quality content guidepost of all.
I called out just three examples of this, but there are many more where that came from, and so will that continue.
The pattern across every one of those examples points to the same underlying truth. SEO expert Eli Schwartz makes the case that LLM visibility isn't a data or technical problem — it's a brand problem. This short video captures why the brands that consistently show up in AI-generated answers aren't winning on data. They're winning on authority.
Why It Matters Moving Forward
We talked about the ever-increasing noise of the internet. IBM predicts that AI will only continue to expand over the next decade, influencing more than content creation. High-quality content will continue to perform through both search engines and LLMs. The challenge or “noise” as marketers used to be different, but the solution is the same. If you put your audience first and prioritize quality content, the cream will rise to the top every single time.
Further Reading
Of course, that’s only part of the story. Sometimes you have to give even the cream of the crop the best chance to succeed. Next time, we’ll talk about how to get the most out of your content with an audience-first strategy.
If you're ready to future-proof your content and get in front of your audience—no matter how they search
