If 2026 was the year Generative Engine Optimization moved from industry buzzword to actual marketing strategy, 2027 will be the year we find out which parts of GEO really matter.
And no, our prediction isn’t that SEO dies.
The data so far points to something more complicated—and much more interesting. People are still searching. They’re just getting more of their answers before they ever reach a website, moving between traditional search and AI platforms, and asking increasingly specific questions along the way.
A 2025 Pew Research Center analysis of Google search behavior found that users clicked a traditional search result in just 8% of visits when an AI summary appeared, compared with 15% of visits without one. That’s a substantial difference in click behavior, even when the underlying search still happens.
At the same time, AI-generated traffic isn’t simply disappearing into the ether. Adobe Analytics reported that generative AI referrals to retail websites increased 693.4% year over year during the 2025 holiday season. Those visitors also converted at a 31% higher rate than traffic from other sources. AI referral volume is still relatively small compared with established channels, but its growth—and the intent behind those visits—is getting harder to ignore.
Search behavior itself is changing, too. Google has reported that early AI Mode users submit queries two to three times longer than traditional searches and continue with follow-up questions. Instead of searching “best hiking boots,” someone can spend several turns narrowing the request to the best waterproof hiking boots for wide feet, winter conditions, a specific budget, and a trip happening next month.
That changes the optimization problem.
Our own 2026 AI & Search Behavior Study adds another piece to the puzzle. Among 500 active AI users surveyed, 37% said they now begin searches with AI rather than a traditional search engine. But 85% also said they double-check AI-generated information elsewhere.
In other words, this isn’t shaping up to be an AI-or-Google world.
It’s becoming an AI-and-Google-and-your-website-and-whatever-comes-next world.
That’s why our approach to Generative Engine Optimization isn’t about abandoning traditional SEO. It’s about expanding the definition of search visibility.
So, what happens next?
I asked our search leadership for one relatively safe GEO prediction for 2027—and one prediction they’re willing to go a little further out on a limb for. I’ll also weigh in with some content-specific predictions at the end, since that’s my specialty.
Robert Langenback, President: Search Volume Holds. The Click Gets Harder to Earn.
Safe Bet: Google Searches Aren’t Going Away, but Each Search Will Produce Fewer Organic Clicks
“Traditional search isn’t going away in 2027. I expect overall Google search volume to remain relatively stable. The bigger change will be in how much traffic each search produces.
More searches will continue to be answered directly through AI Overviews, AI Mode, ChatGPT, Gemini, and other AI experiences. That means informational and research-heavy queries will generate fewer traditional organic clicks, even if the underlying search demand remains strong.”
This is the distinction marketers will need to get comfortable with: search demand can remain strong while organic traffic declines.
We’re already seeing signs of that split. AI answers can satisfy more of the initial research process without requiring a click, particularly for informational queries. That doesn’t make organic visibility less important. It means traffic alone becomes a less complete measure of its value.
By 2027, brands will likely be paying closer attention to impressions, AI visibility, branded searches, recommendations, assisted conversions, and other signals alongside traditional organic sessions. We’ve already looked at why zero-click search is becoming a bigger challenge for marketers, and AI is accelerating that shift.
Hot Take: Ranking #1 Matters Less Than Being a Source AI Consistently Trusts
“By the end of 2027, being ranked #1 will matter less than being one of the sources AI consistently trusts and recommends.”
Rankings aren’t going away. But they’re becoming one part of a much larger visibility equation.
In AI search, the question isn’t only whether your page appears first. It’s whether search and AI systems understand your expertise well enough to retrieve your content, reference it, and recommend your brand when it fits the query.
That’s the bigger shift behind SEO and GEO: optimizing for a ranking position still matters, but so does becoming a source the broader search ecosystem consistently trusts.
Alyssa Foriska, Director of SEO: Search Journeys Get Longer, More Specific, and Harder to Measure
Safe Bet: AI Handles More Research While Users Move Between Platforms to Verify and Act
“AI answers will satisfy more informational needs without a website visit, while users will move between AI platforms and search engines to verify information and act on recommendations. LLM referral traffic will continue to grow, and longer, more specific queries will become a bigger part of how we approach SEO.”
The search journey is already becoming less linear.
Someone might start with ChatGPT, validate the answer in Google, visit a brand directly, return to an AI tool for a comparison, and eventually convert somewhere else entirely. Our AI search behavior research found that 85% of active AI users still double-check AI-generated information elsewhere.
At the same time, conversational search allows people to get much more specific about what they need. For SEO teams, that means moving beyond a long list of individual long-tail keywords and building enough depth and context for search systems to understand when a brand is relevant across many variations of the same need.
Hot Take: Being Recommended Will Matter More Than Being Cited
“My hot take is that in 2027, being recommended in an AI Overview will matter more than being cited. The real visibility opportunity is becoming the brand someone remembers and seeks out afterward.
I also predict dedicated AI Overview click data will become available, helping us understand whether that visibility actually brings people to our sites.”
There’s an important difference between being used as a source and becoming part of someone’s consideration set.
A citation tells a user where information came from. A recommendation can influence which company, product, or service they investigate next. Our AI search study found that 47% of respondents said AI-generated summaries influence which brands they trust first.
That makes recommendation visibility a brand metric as much as an SEO metric.
Better AI-specific click data would also help marketers move beyond “Were we visible?” toward the much more useful question: “What happened because we were visible?”
Jeremiah Greco, Content Marketing Manager: E-E-A-T Moves Out of the Blog and Onto Product and Service Pages
Safe Bet: Your Money Pages Will Need to Prove Why You’re the Right Answer
For years, brands have mostly discussed E-E-A-T—Experience, Expertise, Authoritativeness, and Trust—in the context of editorial content.
Add an expert reviewer. Build an author bio. Cite trustworthy sources. Publish original research. Demonstrate first-hand experience.
All still good advice.
But my safe bet for 2027 is that brands will need to make those signals much more obvious on the product, category, and service pages where purchase decisions actually happen.
The underlying principle of E-E-A-T matters well beyond blog content: give people—and the systems interpreting your website—good reasons to believe what you say.
That becomes even more important as search moves from generic queries toward highly specific conversations.
Someone isn’t limited to searching “waterproof hiking boots” anymore. They can ask:
What are the best waterproof hiking boots under $200 for someone with wide feet who hikes rocky trails and needs good ankle support?
To confidently make a recommendation, an AI system needs more than a product name and a few generic bullets. It needs context around price, fit, terrain, materials, support, use cases, limitations, testing, reviews, sizing, and other attributes.
That’s where the “best for” opportunity gets interesting.
The more clearly your product or service pages explain who something is for, what problem it solves, why it’s a good fit, what evidence supports those claims, and where it may not be the best option, the wider the net you can cast across increasingly varied and specific AI conversations.
No keyword stuffing. No need to turn every PDP into a 3,000-word novel.
The opportunity is to put useful evidence closer to the decision.
For ecommerce brands, that might include first-hand product testing, meaningful specifications, expert recommendations, fit guidance, use cases, comparisons, customer feedback, product limitations, and clear explanations of who a product is—and isn’t—best for.
For service businesses, it could mean named experts, relevant credentials, clear methodology, case studies, industry experience, client proof, original insights, and a better explanation of which customers are the strongest fit.
This is why we’re already taking a deeper approach to product page GEO rather than treating product copy as a short description wrapped around a Buy button.
Your blog still plays an important role in building topical depth and authority. Experience-led, trust-building informational content isn’t going away.
But your product and service pages can’t outsource all of their credibility to the blog anymore.
In a search environment increasingly shaped by “What’s the best option for my exact situation?,” your commercial pages need enough substance for AI—and the human who eventually lands there—to understand why the answer might be you.
Hot Take: Generic Informational Content Will Lose Value as a Standalone Strategy
By 2027, I think more brands will start asking a harder question about their blog libraries:
Is this content actually doing anything for us?
That doesn’t mean informational blogging is dead.
Foundational content will still help users understand complex topics, answer important questions in the buying journey, support internal linking, build topical depth, and give search engines and AI systems useful context about a brand.
For many companies, evolving away from older content models will also happen gradually. Content strategies don’t transform overnight, and not every organization is going to be ready to scrap what worked for years because the search landscape changed again on a Tuesday.
What becomes harder to justify is publishing informational content just because a keyword exists.
For years, SEO content strategies were often built around covering every relevant variation: what is X, how does X work, why does X matter, what are the benefits of X?
If an AI Overview, ChatGPT response, or Gemini answer can synthesize the same basic information from dozens of interchangeable articles, there’s less reason for someone to click through to one more generic explainer.
The bar gets higher.
The informational content that continues to earn visibility will need to bring something extra to the table: first-hand experience, expert analysis, proprietary data, customer insights, original research, meaningful comparisons, strong examples, or a distinct point of view.
Instead of only asking “Can we rank for this keyword?”, content teams will increasingly need to ask:
“Does this help someone make a decision, deepen our authority, support an important part of the customer journey, or give search and AI systems something genuinely useful to understand about our brand?”
If it does, informational content still has a job to do.
If it doesn’t, search volume alone may no longer be enough reason to publish it.
That’s not the end of informational content.
It’s the end of treating informational content as valuable by default.
The Bigger 2027 GEO Prediction: Search Becomes a Visibility System, Not a Rankings Report
There’s a common thread running through all of these predictions.
Search isn’t disappearing. Rankings aren’t disappearing. Websites definitely aren’t disappearing.
But the neat, linear relationship between query → ranking → click → conversion is getting messier.
A customer might encounter your expertise in an AI-generated answer, see your brand recommended later in the conversation, Google your company directly, read reviews, visit a product page, leave, and eventually convert through another channel.
That journey is harder to measure.
It’s also much closer to how people actually make decisions.
For brands, the 2027 GEO playbook isn’t about finding a magic prompt trick or abandoning everything we know about SEO. The fundamentals still matter: strong technical foundations, useful content, clear site structure, authority, original expertise, accurate product information, smart internal linking, and a brand people have reasons to trust.
The difference is that we’re optimizing those fundamentals for a much larger search ecosystem.
Ranking still matters.
Getting clicked still matters.
But increasingly, so does being understood, trusted, remembered, and recommended.
And that’s where GEO strategy gets interesting, and where we’re excited to help your brand.
Want help preparing your search strategy for 2027? We’re happy to dig in and help you identify where SEO and GEO can work together to strengthen your visibility across traditional and AI search. Contact us through the form below, or connect with us on LinkedIn to start the conversation.
