To be cited by ChatGPT: answer questions directly in the first 40 words, use sourced statistics and named quotes, earn third-party mentions, and make sure you are indexed by Bing. Google confirmed in 2026 that llms.txt, content chunking and special schema are not required for generative search, which invalidates a large share of the GEO advice currently ranking.
Three names for overlapping ideas, so let us dispose of the vocabulary first. Generative engine optimization (GEO) is getting cited in AI-generated answers. Answer engine optimization (AEO) is the older term for the same goal, originally about featured snippets and voice results, now used more or less interchangeably. AI SEO is the catch-all people search for when they mean either. The tactics below serve all three, because they are the same problem: being the source an engine quotes rather than a link it ignores.
Generative engine optimization is not a rebrand of SEO. The overlap between Google's top ten organic results and what AI engines actually cite has fallen from roughly 70% to under 20%. Ranking well and being cited are now separate outcomes with separate inputs, and you can be excellent at one while invisible in the other.
With ChatGPT reporting around 800 million weekly active users as of January 2026, and conversational platforms accounting for something like 35–40% of B2B software-related traffic, the second channel is no longer optional.
How an AI engine picks what to cite
Roughly: it decomposes your question into sub-questions, retrieves candidate sources for each, and cites whichever source answers that specific sub-question most directly. This has three consequences that drive everything below.
- You are not competing for a page ranking. You are competing per sub-question, and a single page can win some and lose others.
- Burying the answer costs you the citation even when your page is the best source, because a competitor stated it plainly in one paragraph.
- Retrieval happens through an index. For ChatGPT Search, that index is largely Bing's, so Bing coverage is a prerequisite rather than an afterthought.
What actually correlates with citation
| Tactic | Effect | Effort |
|---|---|---|
| Statistics with named sources | Around +26% citation likelihood | Medium |
| Direct quotes from named people | Around +28% | Low |
| Outbound links to authoritative sources | Around +25% | Low |
| Self-contained answer in the first 40 words | Strong, format-level | Low |
| Comparison tables | Extracted preferentially over prose | Medium |
| Third-party mentions and reviews | Strong, hardest to fake | High |
| Bing Webmaster Tools submission | Prerequisite for ChatGPT Search | Trivial |
Those percentages come from GEO research published through 2025 and 2026 and are directional rather than precise, but the ranking of tactics has held up consistently across independent studies. The pattern behind them is simple: AI engines prefer content that is easy to verify and easy to extract.
What you can stop doing
Google's 2026 guidance stated explicitly that llms.txt, special content chunking and dedicated AI schema are not required for generative search. A significant share of currently ranking GEO advice recommends exactly these, usually as the first three steps.
Our position, as a site that does ship an llms.txt: keep it if you have it, because it costs nothing and some engines do read it. Do not build a strategy on it, do not pay anyone to implement one as a headline deliverable, and do not restructure your content into artificial chunks for a parser that does not need them. The same applies to schema: use the standard types where they genuinely describe your content, and ignore anyone selling AI-specific markup.
The playbook
- Submit your sitemap to Bing Webmaster Tools. Ten minutes. If you are not in the index, nothing else on this list matters for ChatGPT Search.
- Rewrite your openings. For every page targeting a question, put a self-contained 40-word answer at the top. Not a preamble, not a promise to explain later. The answer.
- Add sourced statistics. Replace vague claims with specific numbers and link where they came from. This is the single highest-leverage rewrite for most B2B sites.
- Add named quotes. One paragraph from an engineer or client, attributed by name and role, on pages where you currently speak in a corporate voice.
- Turn comparisons into tables. Anywhere you compare options in prose, convert it. Engines extract tables preferentially.
- Write for the literal question. Use the exact phrasing people type. "How much does an AI agent cost" is a sub-question you can own; "our pricing philosophy" is not.
- Earn third-party mentions. Directories, comparison sites, podcasts, partner pages. AI engines weight what others say about you more heavily than what you say about yourself, and this is the part with no shortcut.
- Measure. Track branded and unbranded prompts across ChatGPT, Perplexity, Claude and Google AI Overviews monthly, and watch referral traffic from those sources separately in analytics.
How to measure it
There is no Search Console for AI answers, so measurement is manual or tool-assisted. The workable minimum: build a list of twenty to forty prompts a buyer would plausibly type, run them monthly across the major engines, and record whether you were cited, mentioned without a link, or absent. It is crude, it is a real signal, and it takes about an hour a month.
Separately, isolate AI referrers in your analytics. The traffic is lower volume than organic search but converts substantially better, because someone arriving from an AI answer has already been pre-qualified by the answer itself.
What this does not fix
GEO amplifies credibility; it does not manufacture it. If nobody outside your own site says you are good at something, no formatting change will make an AI engine assert it. The tactics above make you easy to cite when you are already citable. The underlying work, doing things worth writing about and getting other people to write about them, is the same work it has always been.
If you want a hand with the technical half, our generative AI development and content engineering work covers implementation, and you can get in touch.
Common questions
How do I rank in ChatGPT?
Make sure your site is indexed by Bing, since ChatGPT Search retrieves through it. Then lead every page with a self-contained 40-word answer to the question it targets, add statistics with linked sources, include named quotes, convert comparisons to tables, and earn third-party mentions. Citation is decided per sub-question, not per page ranking.
What is generative engine optimization?
Generative engine optimization (GEO) is the practice of getting your content cited in AI-generated answers from ChatGPT, Perplexity, Claude and Google AI Overviews. It differs from SEO because AI engines answer questions by citing sources rather than listing pages, and the overlap between Google top-ten results and AI citations is now under 20%.
Do I need an llms.txt file to rank in AI search?
No. Google confirmed in 2026 that llms.txt, special content chunking and AI-specific schema are not required for generative search. Keep an llms.txt if you already have one, since it costs nothing and some engines read it, but it should not be the basis of a GEO strategy.
How do I measure AI search visibility?
Build a list of twenty to forty prompts your buyers would realistically type, run them monthly across ChatGPT, Perplexity, Claude and Google AI Overviews, and record whether you were cited, mentioned or absent. Separately, isolate AI referral traffic in your analytics, since it converts better than general organic traffic.