There’s a particular kind of frustration that shows up in founder-led businesses that have invested seriously in SEO.

They’ve done the work. Page one, position one for the phrases that matter. Good content, decent backlinks, consistent publishing. And they’re still not getting the leads the ranking seemed to promise.

Part of this is always about conversion. But a growing part of it is about something more structural: ranking first doesn’t mean what it used to mean.

The reason has nothing to do with Google getting things wrong. It’s that the page Google used to send people to now has a new layer sitting above it.

What sits above your #1 Google ranking now?

Google’s AI Overviews appear at the top of results for a large and growing share of queries. Not all queries, not even most. But for the advisory, exploratory, and comparison queries that potential clients run when they’re considering hiring someone, they appear often.

When they do, the user sees a synthesised answer before they see any ranked link. The answer might tell them what to look for in someone who does what you do. It might name two or three people or businesses. It might give them a framework for making the decision. By the time they scroll down to see the ten blue links, a lot of the cognitive work of the decision is already done.

Semrush data from 2025 shows AI Overviews appearing in around 13% of desktop searches, with higher rates for informational and advisory queries. That’s not every search. But it’s a meaningful portion of exactly the searches that lead to hiring decisions in service categories.

ChatGPT and Perplexity operate outside Google entirely. When a potential client goes to either of those directly and asks who to hire, there are no ranked links at all. There’s just an answer. If you’re not cited in that answer, you’re not in the conversation.

This has been building for a while in a milder form. Google’s featured snippets already did a version of this: put the answer at the top, reduce the need to click through. Traffic from those queries often dropped even as rankings held.

AI Overviews are a more thorough version. The answer is longer, more confident, and often directly addresses a client’s specific question. For some queries, the click-through rate to ranked pages drops considerably after an AI Overview appears.

For a content website or a publisher, this is a traffic problem. For a service business, it’s a different problem. The decision about who to consider hiring is being made inside the answer. Your ranking below it is largely irrelevant to a potential client who got what they needed above it.

Being ranked first below an AI answer that names three of your competitors is not a good position. You’re there. They’re recommended.

What changes once the shortlist forms before the click?

This isn’t an argument for abandoning SEO. The authority signals, the credible content, the inbound links from trustworthy sources, these all feed into AI citation too. A strong SEO foundation makes you more credible to AI engines, not less. The work transfers.

What changes is the goal. The goal is no longer to rank above the AI answer. The goal is to be inside it.

That means the metric shifts from position to citation. Not “where do I rank for this query?” but “does the AI cite me when a potential client asks about this?” Those sometimes produce the same answer. Often they don’t.

It also means that content optimised purely for ranking position, without the structure that makes it easy for an AI to quote from, is only doing half the job. A page that holds position one but never gets cited inside an AI answer is performing worse than it looks.

What does being cited require that ranking doesn’t?

This is where the strategy diverges.

To rank: authority, relevance, technical health. Keywords matching queries. Links from credible sites. A page that Google’s algorithm trusts.

To be cited: all of the above, plus clarity of claim (the engine can tell in one pass what you do and who for), quotability (there are self-contained answers it can lift cleanly), and consistency (every source that describes you says the same thing). The ranking signals transfer, but they appear to be necessary, not sufficient.

A highly optimised page that’s vague about who it’s for, buries its answers in long unstructured paragraphs, and contradicts what your LinkedIn profile says about you may rank well. It’s unlikely to be cited.

This is the gap most service businesses are sitting in right now. Ranked. Not cited. Wondering why the leads aren’t matching the position.

How AI engines decide who to recommend covers the mechanism in detail: what the engine is measuring, where the gaps most commonly are, and how to address the right ones first.

If you want to know specifically what the engines say about you now, where competitors are getting cited instead of you, and at least 8 fixes ranked in the order worth making them, that’s what the Citeability Snapshot is for.

See where you actually stand.