What is GEO (Generative Engine Optimization)?

An AI system generating an answer has one dominant constraint: it must not assert something false and attribute it to you. So it favours sources whose claims are easy to verify, easy to attribute and easy to bound in time.

That means specificity beats fluency. 'Permit fees vary depending on the region and your nationality' is unquotable. 'The ACAP permit is Rs 3,000 for foreign nationals and around Rs 1,000 for SAARC nationals, plus 13% VAT, as of July 2026' is exactly what a generative engine wants, because it can be stated, attributed and dated.

Retrieval systems typically work on chunks of a page rather than the whole thing. A page organised so that each section is self-contained and clearly labelled is far more likely to have the right chunk retrieved.

You cannot be cited by a system that cannot read you. AI crawlers are separate from classic search crawlers and are controlled separately, which means the default state of your site may not be what you think.

The main ones to know: OpenAI operates GPTBot and OAI-SearchBot, documented publicly with their user agents and IP ranges. Google uses Google-Extended as a separate control for Gemini and related products, distinct from Googlebot — blocking Google-Extended does not affect Search ranking, and allowing Googlebot does not automatically opt you into everything.

This is a genuine business decision rather than a technical default. If you want citations in AI answers, you must allow the relevant crawlers, and you should check your robots.txt actually reflects that intention.

llms.txt is a proposed convention: a markdown file at your domain root that points LLM consumers at your most useful content in a clean, readable form.

It is a proposal, not a standard, and adoption by major AI vendors is limited. It costs very little to publish and may help; it is not a substitute for the fundamentals of being crawlable, accurate and well-structured.

Treat it as a cheap experiment rather than a strategy, and do not let anyone sell you an llms.txt file as GEO consultancy.

Generative systems are trained on and retrieve from the wider web, so what other sites say about you carries weight — arguably more than in classic SEO, because consistency across sources is itself a trust signal.

Practical implications: keep your name, description and key facts consistent everywhere you appear; get accurate entries on authoritative reference sites and reputable directories; publish original data others cite; and use Organization markup with sameAs links so engines can resolve exactly which entity you are.

Being mentioned consistently by several independent sources is what makes an engine confident enough to name you.

This is the weakest part of the discipline and it is worth being blunt about it. There is no Search Console for AI citations. Referral traffic from AI interfaces is partially visible in analytics but frequently under-attributed, and citation frequency is not reported by any vendor.

What you can practically do: search your key queries in ChatGPT, Perplexity, Gemini and Google AI Overviews on a schedule and record whether you are cited; watch for referrals from AI hostnames in analytics; check your server logs for AI crawler user agents to confirm you are actually being fetched.

Be sceptical of tools promising precise GEO measurement or guaranteed AI citation. The measurement problem is real and unsolved.

It is not a replacement for SEO. Every generative system that retrieves live content is retrieving from the web, and much of it leans on conventional search infrastructure — a page that cannot be found conventionally is unlikely to be retrieved.

It is not prompt manipulation or hidden text aimed at models. Hidden content is a spam violation in classic search and will not survive as a tactic.

And it is not new in its fundamentals. The practices that make you citable by an AI — accuracy, specificity, sourcing, dating, clear structure, genuine authority — are the practices that made you a good search result. GEO mostly raises the penalty for vagueness.