For as long as SEO has existed, marketers have sorted search queries into a few tidy buckets. Someone typing “what is a heat pump” wanted information. Someone typing “buy heat pump installation near me” wanted to make a purchase. Informational intent lived at the top of the funnel; commercial intent lived at the bottom. You built different pages, different content, and different calls to action for each — and it worked.
AI search is blurring the traditional divide between informational, commercial and transactional intent.
When a user asks ChatGPT, Perplexity, Gemini, or Google’s AI Overviews a question, they no longer move through a page of ten blue links choosing where to click. They get a synthesized answer — and inside that single answer, the line between “learning” and “buying” blurs. The same conversation that starts as pure research can end with a specific product recommendation, a shortlist of vendors, and a nudge toward a decision. All without a traditional search results page in sight.
Here’s what every marketing leader needs to understand right now: AI search does more than change how people find answers — it allows intent to evolve within a single conversation instead of across separate searches.
The Old Model: A Clean Line Between Learning and Buying
Classic search intent came with well-understood flavors:
- Informational — “how does X work,” “what is Y,” “best way to Z”
- Commercial investigation — “best X for small businesses,” “X vs. Y,” “X reviews”
- Transactional — “buy X,” “X pricing,” “X near me”
The whole discipline of keyword strategy was built on matching content to the right stage. Informational queries earned blog posts and guides. Commercial-investigation queries earned comparison pages and buyer’s guides. Transactional queries earned product and service pages tuned to convert.
Critically, the search behavior reinforced these stages. A researcher typed a broad question, skimmed a few articles, formed an opinion, then came back later with a narrower, more commercial query. The funnel was sequential, and each search was a discrete, trackable step you could map and optimize against.
The New Model: One Conversation, Many Intents
AI search can compress several stages of the buyer journey into one continuous exchange.
Watch how differently people behave. On Google, a user searches for “best CRM for small businesses,” scans the results, and clicks. In ChatGPT, that same user asks “what’s the best CRM for a 10-person agency,” reads the answer, then immediately follows up: “which of those is cheapest,” then “does the first one integrate with QuickBooks,” then “okay, how do I get started with it.”
That’s four distinct intents — informational, commercial-investigation, feature-comparison, and transactional — inside one uninterrupted conversation. The user never returned to a search box. They never re-entered the funnel at a new stage. The AI carried them from curiosity to near-purchase in a single thread.
This is the core of the ChatGPT vs. Google search behavior shift: Traditional search often requires users to run separate queries and evaluate multiple pages. AI tools allow them to ask follow-up questions, compare options and move closer to a decision within the same conversation. The stages didn’t disappear — they merged into one continuous motion.
What This Means for Informational Search
For years, informational content was the top of the funnel — a way to earn awareness and trust before a buyer was ready to talk business. In the AI era, that content is doing something new.
When your guide, explainer, or how-to article becomes source material for informational search AI, you’re no longer just earning a click. Your content may become source material that retrieval-based AI systems summarize, cite or use to shape their answers. The AI engine reads, synthesizes, and cites content it deems authoritative — and the brands whose informational content is trusted enough to be quoted become the brands the AI recommends when the conversation turns commercial.
This flips the value of top-of-funnel content. It’s not merely awareness anymore: it’s positioning inside the answer. If a competitor’s content is more authoritative, better structured and more widely referenced, an AI system may be more likely to cite or recommend that competitor when the conversation turns commercial. Your informational content is now the on-ramp to the commercial recommendation — even when no one ever clicks it.
The takeaway: keep investing in genuinely useful, authoritative informational content — but write it to be adaptable and citable by AI, not just rankable. Clear definitions, direct answers, structured explanations, and real expertise are what earn a place inside the synthesized response. This is the heart of a strong content marketing strategy in the AI era.
What This Means for Commercial Search SEO
The commercial end of the funnel is where the stakes are highest — and where AI search changes the game most.
In traditional search, a commercial query returned a page of options: ads, listings, comparison sites, and your product page competing for the click. In AI search, the engine often returns a shortlist — sometimes a single recommendation. There is no page of ten options to fight your way up. If your brand is absent from the AI-generated shortlist, you may lose visibility during an important commercial decision point.
That raises the bar for commercial search SEO in three ways:
- Being named beats being ranked. The goal shifts from “rank on page one” to “get cited in the recommendation.” That depends on reviews, third-party mentions, structured product data, and a reputation the model can verify across the web — not just on-page optimization.
- Comparison content matters more, not less. When users ask AI “X vs. Y,” the engine assembles its answer from comparison content across the web. If competitors dominate the available comparison content, their positioning may influence how AI systems frame the options. Owning the “vs.” conversation is now a commercial-SEO priority.
- Trust signals become buying signals. Because the AI is effectively vouching for whoever it recommends, the off-page reputation that feeds that trust — reviews, citations, consistent NAP data, authoritative backlinks — directly influences whether you make the shortlist.
A modern SEO program has to optimize for the moment the conversation turns commercial, ensuring your brand is the one engines trust enough to name. And because AI answers increasingly blend organic recommendations with paid placement, aligning your PPC strategy with your AI-search presence is becoming part of the same conversation.
The Blurring of Intent is the Real Story
Perhaps the biggest change is that intent is no longer something you can cleanly assign to a query. The same opening question — “How do I improve my website’s conversion rate?” — might come from a student writing a paper, a founder conducting early research or a CMO ready to hire an agency. In classic search, you’d serve them all the same informational article and hope the right ones converted later.
In AI search, the conversation reveals intent, not the keyword. The follow-up questions — “what does that cost,” “who does this well,” “can someone do it for me” — are where commercial intent surfaces. And they surface fast, often in the same session that began as pure research.
For marketers, this means you can’t split your strategy into “informational content over here, commercial content over there” and treat them as separate campaigns. The buyer’s journey now happens in one breath. Your informational content has to set up the commercial recommendation, and your commercial presence has to be strong enough to be named the instant the conversation turns. They’re two halves of a single motion.
How to Adapt Your Strategy
You don’t need to throw out intent-based SEO — you need to evolve it for a world where intent blends inside one conversation:
- Write informational content to be cited, not just clicked. Lead with direct, quotable answers. Use clear structure and real expertise so AI engines treat you as a trustworthy source worth naming.
- Own the commercial-investigation queries. Publish honest comparison content, buyer’s guides, and “X vs. Y” pages so your framing is the one AI engines synthesize when buyers ask.
- Invest in off-page trust. Reviews, third-party mentions, and authoritative citations increasingly determine whether you make the AI’s shortlist. On-page optimization alone won’t get you named.
- Connect the halves. Make sure the informational content that teaches the model links naturally to the commercial pages that convert the buyer — because the journey between them is now measured in seconds, not weeks.
- Measure influence, not just clicks. Track mentions, citations, and branded-search lift alongside traffic, because much of your AI-era value shows up as being named in the answer rather than as a referral session.
The Bottom Line
The clean line between informational and commercial intent — the line the entire SEO playbook was built on — is dissolving. AI search collapses the funnel into a single conversation where a user can move from “what is this” to “who should I buy it from” without ever leaving the chat.
That’s not a threat to marketers who adapt. It’s an opportunity. The brands that make their informational content the source AI learns from, and their commercial presence the answer AI trusts to recommend, will win both halves of a journey that now happens in one breath.
The funnel did not disappear. AI search can compress it into a conversation where users learn, compare and move toward a decision in one session.
Want help positioning your brand across both informational and commercial AI search? Brandastic builds SEO, content marketing, and PPC strategies for the AI era. Let’s talk.
Frequently Asked Questions
What is AI search intent?
AI search intent is the goal behind a query when someone uses an AI engine like ChatGPT, Perplexity, Gemini, or Google’s AI Overviews instead of traditional search. Unlike classic search, where intent is tied to a single keyword, AI search intent is revealed across a conversation — a user can move from informational to commercial intent within one thread of follow-up questions, blurring the traditional funnel stages.
How is ChatGPT vs. Google search behavior different?
Google trained users to search, scan a page of links, click, leave, and return later with a new query for each stage of their journey. ChatGPT and other AI engines train users to ask, refine, and decide in one place — following up within one conversation instead of running separate searches. The result is that multiple intents (learning, comparing, buying) collapse into a single continuous exchange rather than discrete, trackable searches.
How does AI change informational search?
In informational search, AI engines read and synthesize authoritative content, then cite or paraphrase in their answers. This means your top-of-the-funnel content is no longer just earning awareness clicks — it’s teaching the model. The brands whose informational content AI trusts are now the ones surfaced later when the conversation turns commercial, so informational content now functions as an on-ramp to the commercial recommendation.
What does AI search mean for commercial search SEO?
Commercial search SEO shifts from ranking on a page of options to being named in the AI’s recommendation — often a shortlist or a single answer. This raises the importance of off-page trust signals (reviews, third-party mentions, citations, structured product data) and comparison content, because AI engines assemble commercial answers from the reputation and training available across the web, not just your on-page optimization.
Is intent-based SEO still relevant with AI search?
Yes, but it has to evolve. You can no longer cleanly assign a single intent to a keyword, because the same opening question can belong to a researcher or a ready-to-buy decision-maker, and intent surfaces through follow-up questions instead. The strategy shifts from separate informational and commercial campaigns to a connected approach, where informational content sets up the commercial recommendations with one conversation.
How do I optimize content for AI search intent?
Write informational content to be quotable and citable — lead with direct answers, use clear structure, and demonstrate real expertise so AI engines treat you as a trustworthy source. Own commercial-investigation and “X vs. Y” queries with honest comparison content, invest in off-page trust signals so you can make the AI’s shortlist, and connect your informational and commercial page so the fast journey between them is seamless.
