Generative engine optimisation (GEO) is the practice of getting your brand named inside an AI-generated answer. When someone asks ChatGPT for the best CRM for a small agency, or asks Perplexity which mattress brand to buy in India, the model returns three or four names and a paragraph on each. GEO is the work of being one of those names.
It matters because the shape of buying research has changed. A buyer who used to open ten tabs now reads one answer. The brands in that answer get the shortlist; everyone else is invisible in a way that has no equivalent in classical search, where at least you could be on page two.
Where the term came from
The phrase was introduced in a 2023 paper out of Princeton, IIT Delhi, Georgia Tech and Allen Institute for AI, which tested which page-level changes made a source more likely to be cited in a generated answer. The finding that stuck: adding quotations, statistics, and citations to a source raised its visibility in generated answers substantially, while classical keyword stuffing did almost nothing.
You will also see AEO (answer engine optimisation) and LLM SEO used for roughly the same thing. The distinctions are real but small — we cover them in the AEO guide.
How a generative engine actually picks brands
You cannot optimise for a black box, so it helps to know the mechanism. Nearly every consumer answer engine in 2026 runs some version of retrieval-augmented generation:
- Query fan-out. Your one question becomes several searches. “Best branding agency in Bangalore” might fan out into “top branding agencies Bangalore”, “brand identity studio Bangalore reviews”, and “Bangalore design agency portfolio”.
- Retrieval. The engine pulls a few dozen pages from a search index — Bing, Google, or its own crawl.
- Selection. It filters that set down to the handful of sources it will actually read, favouring pages that look directly responsive to the question.
- Synthesis. It writes one answer from those sources, naming the brands that appear across them with the most consistent, most extractable descriptions.
Two consequences fall straight out of this. First, you are usually not the source — a roundup post on someone else’s site is. Second, repetition across independent sources is the signal. A brand named in six different listicles beats a brand with one beautiful homepage.
Layered on top of retrieval is what the model already knows from training. That is why a household name surfaces even with no fresh citation, and why a two-year-old brand has to earn its way in through retrieval.
GEO versus SEO, precisely
| SEO | GEO | |
|---|---|---|
| Unit of success | A ranked position | A mention inside an answer |
| What the user sees | Ten links, chooses one | One answer, three brands |
| Query length | 2–4 words | Full sentences, often with constraints |
| Winner-take-all? | Position 1 takes ~30% of clicks | Named or not named — there is no page two |
| Main lever | Your own pages and backlinks | What third parties write about you |
| Measurement | Rank, impressions, clicks | Presence, position, sentiment, citations |
| Volatility | Weeks to move | Answers can differ day to day |
The single biggest mindset shift: in SEO you optimise your property; in GEO you optimise the corpus about you. Your website still matters, but mostly as the thing that confirms and enriches what other sources already say.
The twelve things that actually move GEO
Ordered roughly by impact per unit of effort, for a brand starting from zero.
1. Let the crawlers in
Check /robots.txt for GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot, and Google-Extended. A surprising number of sites blocked these during the 2024 scraping panic and never revisited the decision. If yours is one of them, nothing else on this list can work.
2. Get into the roundups that already rank
Search the exact question your buyer asks. Whatever ranks in the top ten is roughly the retrieval set the engines are reading. Every one of those pages that does not list you is a gap. Pitch the author, claim the listing, submit to the directory — this is digital PR, and it is the highest-leverage GEO work there is.
3. Answer the question verbatim, on your own site
Take the buyer’s literal question and make it an H2, then answer it in the first 40–60 words underneath in complete, self-contained sentences. Models extract passages, not pages. A paragraph that only makes sense after reading the two above it will not survive extraction.
4. Ship Organization and Product structured data
JSON-LD for Organization, LocalBusiness, or Product tells an engine who you are, where you operate, and what you sell, without it having to infer any of that from prose. Add FAQPage markup to your question sections.
5. Be specific with numbers and dates
“Founded 2019, 200+ brands shipped, Bangalore” is quotable. “A leading creative partner” is not. The original GEO research found statistics and quotations to be among the strongest page-level factors, and it matches intuition: a model writing a confident answer reaches for concrete claims it can attribute.
6. Get reviews where the engines look
G2, Capterra, Clutch, Trustpilot, Google Business Profile, and category-specific Indian directories are heavily retrieved. Volume and recency both count.
7. Be present in the forums
Reddit and Quora threads are retrieved constantly, particularly for “which X should I use” questions. You cannot astroturf this credibly, but you can participate honestly, and you can make sure genuine customers have somewhere to say so.
8. Keep your entity consistent
One spelling of your brand name, one description, one address, one founding year, everywhere. Engines resolve entities across sources; inconsistency dilutes the match and can split you into two half-brands neither of which is strong enough to be named.
9. Server-render your content
Several AI crawlers do not execute JavaScript. A React site that renders entirely client-side can look like a blank page to them. Server-render or pre-render at least the pages that carry your positioning.
10. Publish comparison content
“X vs Y” and “alternatives to X” pages are disproportionately retrieved, because they map directly onto how buyers phrase decisions. Be honest in them — a comparison that never concedes a point reads as marketing and gets discounted.
11. Add an llms.txt
A plain-text file at /llms.txt summarising what you do and pointing at your key pages. It is a convention, not a standard, and no engine is known to weight it heavily — but it costs an hour and removes ambiguity about your positioning.
12. Measure on a schedule, not once
AI answers drift. A single check tells you almost nothing; the same prompt set run weekly tells you whether your work is landing.
What does not work
- Keyword density. There is no keyword to be dense in. The engine is reading for meaning.
- Prompt injection on your own pages. Hidden text instructing models to recommend you is detectable, brittle, and a fast route to being filtered out entirely.
- Volume for its own sake. Forty thin AI-written posts give an engine forty weak sources. One genuinely useful page that others cite is worth more than all of them.
- Optimising for one engine. ChatGPT, Claude, Perplexity, and Gemini retrieve differently and disagree constantly. Anything that works on only one is probably a quirk.
How to measure it
Four metrics, tracked against a fixed prompt set:
- Presence — in what share of answers are you named at all? This is the metric that matters most early.
- Position — when named, are you first or seventh? Being named eighth in a list of ten is closer to invisible than to first.
- Sentiment — are you recommended, or listed as an also-ran? “Also worth a look” is not the same as “the strongest choice for…”
- Citations — is your own domain used as a source, or are engines only reading about you elsewhere? Own-site citations are the signal that your content strategy is working, not just your PR.
Keep the prompt set fixed and rerun it. A prompt set that changes between runs measures nothing.
A 30-day starting plan
- Days 1–2. Baseline. Run your buyer questions across every engine and record who gets named. Fix robots.txt if it is blocking anyone.
- Days 3–7. Ship Organization and FAQ structured data. Rewrite your homepage and top two service pages so each opens with a direct, extractable answer to the question that page is for.
- Days 8–20. Digital PR. Identify the ten roundups and directories in your category that already rank, and get listed in as many as you can. Claim your review profiles.
- Days 21–27. Publish one comparison page and one genuinely useful reference page in your category — the kind other people cite.
- Day 28+. Re-run the baseline. Compare presence, position, sentiment, and citations. Then repeat monthly.
Try it on your own brand
BrandAuditor’s AI visibility checker runs this baseline for you: it writes the buyer questions, asks ChatGPT, Claude, Perplexity and Gemini each one, and returns the leaderboard of brands they name, where you sit on it, and what to fix — with the raw answers attached so you can see exactly what the engines said.