AEO vs GEO is mostly a naming argument. Answer engine optimisation (AEO) grew up around answer boxes such as featured snippets; generative engine optimisation (GEO) around AI-written answers that cite their sources. Both describe the same job: making your pages easy to crawl, trust and quote. Google's own AI optimisation guide treats both as SEO for AI experiences, so one checklist covers both.
What is the difference between AEO and GEO?
The difference is the surface you are aiming at, not the work you do. AEO targets a single extracted answer; GEO targets a generated response that stitches several sources together and links some of them.
Google defines the terms in one line of its guide to optimising for generative AI features: “AEO” stands for “answer engine optimization” and “GEO” for “generative engine optimization”. The acronyms arrived at different times. AEO took hold when search results started lifting a paragraph, a list or a table out of a page and showing it above the ordinary links. GEO took hold when AI assistants and Google's AI Overviews began writing their own answers and attaching source links to them.
So the practical split is this. An answer box shows your words, close to verbatim, credited to one page. A generated answer paraphrases, blends several pages and may or may not show your link. The reader's question is the same in both cases; what changes is how much of your wording survives and how visible your brand is in the result.
In our audits we do not run separate AEO and GEO workstreams. We run one set of checks and then look at which surfaces a client's audience is actually using.
What is GEO in SEO, according to Google?
From Google's point of view, GEO is SEO. The AI optimisation guide says it directly: “From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.”
The reasoning in the same guide is mechanical rather than philosophical. Google says its generative AI features are rooted in its core Search ranking and quality systems, and that they use a technique it calls grounding, which relies on those ranking systems to retrieve relevant, up-to-date pages from the Search index. If a page is not in the index, or ranks poorly for the underlying queries, there is nothing for the AI feature to ground on.
Google's page on AI features and your website adds a detail that matters for GEO planning: AI Overviews and AI Mode may use a “query fan-out” technique, issuing multiple related searches across subtopics and data sources to build a response. In practice that means a page can be pulled in for a sub-question the searcher never typed. We read that as an argument for pages that answer the neighbouring questions clearly, not for pages stuffed with keyword variants.
The same page is blunt about special tricks: there are no additional requirements to appear in AI Overviews or AI Mode, “nor other special optimizations necessary.” Google also says you do not need new machine-readable files, AI text files or special schema.org markup to appear in these features.
AEO vs GEO side by side
Here is how we map the two labels to real search surfaces and to the work behind them. The last row is the point: the work is shared.
| AEO (answer boxes) | GEO (generated answers) | |
|---|---|---|
| Typical surface | Featured snippets and “People Also Ask” | AI Overviews, AI Mode and AI assistants that cite sources |
| What the reader sees | Your passage, shown before the link | A written answer with supporting links |
| How much of your wording survives | A lot: an extracted passage | Less: a paraphrase blended with other sources |
| Can you opt in? | No: Google decides which page to elevate | No: pages must be indexed and snippet-eligible |
| Can you opt out? | Yes, with nosnippet or data-nosnippet | Blocking snippets also removes the snippet eligibility Google requires |
| Work that moves it | Crawlable, indexable pages; a direct answer under each question heading; clear structure; content worth citing | |
Two rows rest on Google's own wording. On featured snippets, Google answers the question of how to mark a page as one with “You can't”: its systems decide whether a page would make a good featured snippet and, if so, elevate it. The same page says the nosnippet rule blocks all snippets, featured ones included. Google's AI features page says a page must be eligible to be shown in Search with a snippet to appear as a supporting link. Put those together and a nosnippet rule added to protect content from answer boxes also takes the page out of contention for AI Overviews. That is our reading of the two pages side by side, and it is the first thing we check when a page vanishes from both.
SEO vs GEO vs AEO: do you need three strategies?
No. You need one SEO strategy that is written and built for extraction. The three labels describe where the result shows up, not three different sets of levers.
What does change is emphasis. Classic SEO reporting looks at rankings and clicks. AEO and GEO add a question: when someone asks this, is our page the one quoted or linked? That shifts some effort towards things an extraction system finds easy to use:
- A heading phrased as the question a reader would type, followed immediately by a one or two sentence answer.
- Definitions, steps and comparisons laid out as real lists and tables, not paragraphs pretending to be lists.
- One clear topic per page, so a system pulling a passage does not have to guess what the page is about.
- Named authorship and specific, checkable claims, so there is a reason to trust the passage it lifts.
None of that is new to SEO. It is simply rewarded more visibly now, because the answer is displayed rather than hidden behind a click.
On measurement, Google says sites appearing in AI Overviews and AI Mode are included in the overall search traffic in Search Console, alongside the rest of the results page. Its AI optimisation guide also says a site must be included in Search generative AI features in Search Console to be eligible for display in them. We would check that setting before blaming content for an absence.
One checklist that covers AEO vs GEO
If you only have time for one pass, run this in order. Each step is a gate: a page that fails an early step cannot benefit from later ones.
- Crawl access. Google’s AI features page lists “ensuring that crawling is allowed in robots.txt, and by any CDN or hosting infrastructure”. Check both layers, not just the robots file.
- Indexing. Confirm the page is indexed in Google Search Console. Grounding retrieves from the index; an unindexed page cannot be cited.
- Snippet eligibility. Look for nosnippet, and for data-nosnippet wrapped around the passages you most want quoted.
- Search Console AI setting. Confirm the site is included in Search generative AI features, per Google’s guide.
- Structure. One H1, question-led H2s, a direct answer opening each section, and lists and tables where the content is genuinely a list or a table.
- Substance. Specific, sourced claims and a named author. Cut anything a reader could have written without knowing the subject.
- Structured data, in proportion. Google says structured data is not required for generative AI search, but recommends continuing it for rich result eligibility. Keep it accurate; do not expect it to do the job of the steps above.
Google also warns against overfocusing on structured data and says it ignores llms.txt files, while noting they neither harm nor help Google visibility. We still publish llms.txt for clients because other services may read it, but we do not present it as a Google lever. If you want to see where your own site stands on crawler access, our free AI visibility checker reads your robots.txt rules for 11 AI crawlers and requests your homepage once with each crawler's user agent. That is the checker's own request, not the real crawler's, and it covers the homepage only, so treat a pass as a good sign rather than proof.
What we have seen when the basics break
The failures we find are rarely about AEO or GEO technique. They are about the gates in the checklist above. On one SEO Autopilot engagement, a US healthcare analytics company on WordPress behind a firewall, the firewall returned 403 to OpenAI's and Anthropic's search crawlers on every page. The trigger was a generic bad-bot rule matching the substring “searchbot”. Eleven other crawlers passed, and the client's monitoring tool reported all sixteen AI crawlers as accessible, because it read robots rules instead of sending requests. We wrote up that pattern in how a firewall can block AI crawlers without anyone noticing.
On the same site, 21 of 39 pages had no H1 because the post template rendered the title as an H2. One template change took pages with exactly one H1 from 9 of 39 to 30. Between the baseline frozen on 15 July 2026 and the re-measure on 18-19 August 2026, across all 39 sitemap URLs, the site's AI Visibility score went from 18.35 to 66.35 on our rubric. It was not free: performance fell from 48 to 28, because removing the firewall rule took the CDN edge cache with it, and AI review signals did not move (18 to 18).
None of that work was labelled AEO or GEO. It was crawl access, structure and markup. If you want the same checks run across your pages rather than the homepage alone, our GEO and AEO audit is where we start. For the non-Google side of the picture, see where ChatGPT gets its information.
Frequently Asked Questions
Is AEO the same as GEO?
They overlap almost completely. AEO is the label tied to answer boxes such as featured snippets, and GEO the one tied to AI-generated answers that cite sources. The underlying work, crawlable and indexable pages with clear, direct answers, is the same for both.
What is GEO in SEO?
GEO, generative engine optimisation, is the part of SEO concerned with being used and cited in AI-generated answers. Google's AI optimisation guide says optimising for generative AI search is still SEO from Google Search's perspective.
Do I need a separate AEO or GEO strategy?
No. You need one SEO strategy written for extraction: question-led headings, a direct answer under each, real lists and tables, and pages that search engines and AI crawlers can actually reach.
Does llms.txt help with GEO on Google?
Not on Google. Google's guide says Google Search ignores llms.txt files, and that creating one neither harms nor helps visibility in Google Search. Other services may read it.
Can I choose which page appears in a featured snippet?
No. Google says its systems decide whether a page would make a good featured snippet. You can only opt out, using the nosnippet rule or the data-nosnippet attribute.