Every few months a discipline arrives with an acronym and a price list attached, and the honest question is whether there is anything underneath it. GEO — generative engine optimization, sometimes AEO — is unusual in that there genuinely is. It comes from a 2023 research paper rather than an agency deck, the paper built a benchmark, and it measured how much the techniques actually move the needle.
The measurement is the part that gets left out of the pitch, because it is not the number a pitch wants.
Aggarwal et al. introduced both the term and GEO-bench, a benchmark of diverse user queries paired with source documents, and demonstrated visibility improvements of up to roughly 40% inside generated answers. That is a real, replicated, published result and it is worth taking seriously.
It is also bounded in a way the marketing around it rarely reproduces. Forty per cent more visibility within a generated answer is not a rewrite of who gets recommended in your market. It is an improvement in how likely your existing page is to be selected and quoted, applied to a page that was already a plausible candidate. Nothing in the paper suggests you can format your way from invisible to authoritative.
The second finding matters more and is quoted even less: which technique works varies significantly by domain. The tactic that lifts a technical comparison page is not the tactic that lifts a local service page. Anyone selling you a single universal GEO playbook either has not read the paper or is hoping you have not.
The technical fundamentals do not change at all. Fast pages, clean semantic HTML, a proper heading structure, schema markup — these help a classic crawler and a retrieval system for the same reason, which is that both need to work out what a page says and whether to trust it.
Google is unusually direct about this in its own documentation: AI Overviews and AI Mode draw on the same index and the same quality systems as classic Search, and there is no separate AI submission process. There is no second index to get into. If the page is not indexed and eligible to be shown with a snippet, no amount of GEO work reaches it.
So the useful framing is additive, not alternative. If your SEO foundation is weak, GEO does not route around it — it inherits the weakness. Most of the "we are not being cited anywhere" cases I have looked at were not content problems at all. They were a page that renders nothing without JavaScript, or a bot rule in a CDN that somebody switched on eighteen months ago and nobody remembers.
Structured data becomes more directly consequential than it is in classic SEO. FAQ, HowTo, and clear Organization and Article markup give a retrieval system an unambiguous way to extract a fact rather than infer one. Schema.org is the shared vocabulary underneath all of it, and it is the least glamorous, most reliably useful work in this entire area.
Content that answers one specific, narrow question outperforms broad pages, and the mechanism is worth understanding rather than just obeying. These systems are lifting a passage. A page with a direct answer near the top of each section gives them something clean to lift; a page that spends three paragraphs warming up gives them a choice between quoting the preamble and quoting nobody. Structure is doing real work here, not cosmetic work.
Then there is the half you cannot edit. Being mentioned elsewhere — press, directories, industry roundups, comparison pieces — feeds retrieval in a way that is harder to measure than a backlink and is nonetheless real. Consistency matters here more than volume: answer engines cross-reference sources rather than trusting one, so a business described three different ways in three places gets attributed less confidently than one described identically everywhere. That is an unglamorous afternoon of work on your directory listings, and it beats another rewrite of your homepage.
Here is the number that should shape the budget conversation. Pew Research Center ran a panel study of 68,879 searches and found that when an AI summary is present, 8% of visits result in a click on a traditional result, against 15% when no summary appears. Clicks on a link inside the summary itself: 1%.
The pessimistic reading is that being cited is worth far less traffic than being ranked used to be. A citation is not a visit. If your entire model depends on click volume from informational queries, AI summaries are a structural problem that no amount of GEO fixes, because the technique optimises for being chosen inside a box that people mostly do not click.
The optimistic reading is that the clicks are collapsing whether or not you participate. If summaries appear on your queries, the traffic is going regardless, and the choice is between being the cited source inside the answer and not being mentioned at all. Being named in the answer a buyer reads has value that does not show up in your analytics — which is uncomfortable to budget for and still true.
What I would not do is let anyone sell GEO to you on traffic projections. The mechanism it improves is citation, and citation converts to sessions at roughly 1%.
Before any of the formatting work matters, the engines have to be allowed to use you, and that is a separate decision from being crawled.
Google splits it with a robots.txt token called Google-Extended. It is not a crawler — Googlebot still does the fetching. It governs whether what was fetched may be used to train future Gemini models and for grounding. And Google's own wording on the consequence is unusually unambiguous: Google-Extended "does not impact a site's inclusion in Google Search nor is it used as a ranking signal in Google Search."
That single sentence turns this into a licensing decision rather than an SEO one, which is a much better decision to be making. You can stay fully indexed and fully ranked while opting out of the generative uses. It is a real choice, not a trap with a ranking penalty hidden in it.