Ask ChatGPT, Gemini or Perplexity to recommend a chartered accountant in Dwarka, a dentist near Sector 12 or a solar installer in Delhi NCR, and you will get an answer. Three or four businesses will be named, sometimes with a sentence explaining why. Nobody clicks through a page of ten blue links to get there, and nobody scrolls. If your business is not one of the names, you were never in the running.
That shift has a name. Generative engine optimisation, usually shortened to GEO, is the work of making sure AI assistants and AI powered search results know who you are, what you do, where you do it, and why you are worth naming. It is not a replacement for SEO. It sits on top of it, and the businesses winning at it are almost always the ones who did the unglamorous search work first.
The short version
- AI answers compress the shortlist. Ten results become three names, and there is no second page to be found on.
- You cannot buy your way in. There is no ad slot inside a recommendation, which is unusually good news for small businesses.
- Assistants quote sources they can verify. Consistent facts, structured data, reviews and third party mentions decide who gets named.
- Most of the work overlaps with good SEO. If your site is a mess technically, GEO is not the place to start.
Why this matters now, not next year
A growing share of buying research never touches your website. Somebody describes their problem in a chat window, asks who they should call, gets three suggestions, and rings one of them. You will not see that journey in Google Analytics as a search visit, because there was no search visit. You will only see the call, or you will see nothing at all because the call went to a competitor.
The same thing is happening inside Google itself. AI Overviews answer the question at the top of the page and cite a handful of sources. The click through rate for everything underneath falls, and the value of being one of the cited sources rises sharply.
How an AI assistant decides who to name
Strip away the mystique and there are three mechanisms at work.
1. What the model already learned
Models are trained on a large slice of the public web. If your business has been described consistently across your own site, directories, industry listings, news mentions and social profiles for years, there is something to learn. If your online footprint is one thin website and an abandoned Facebook page, there is not.
2. What it retrieves live
Most assistants now search the web before answering. That retrieval step behaves a lot like a search engine, which is why crawlable, well structured, genuinely useful pages still win. It also means recency counts, because a page updated this quarter is a safer citation than one last touched in 2019.
3. What it can corroborate
Assistants are tuned to avoid saying things they cannot support. A claim that appears only on your own website is weak. The same claim repeated on your Google Business Profile, a reputable directory, a local news piece and a client review is strong. Corroboration is the single most underrated part of GEO.
What we fix first
This is roughly the order we work through on an AI SEO and GEO engagement, and it is deliberately boring at the start.
- Make the entity unambiguous. One exact business name, one address format, one phone number, one description of what you do, repeated identically everywhere. Five versions of your address across the web means five weaker signals rather than one strong one.
- Add proper structured data. Organisation, LocalBusiness, Service, FAQ and Article markup give machines an unambiguous version of the facts instead of asking them to infer everything from prose.
- Write answer shaped content. Use the question as the heading, then answer it directly in the first two or three sentences before adding nuance. Assistants extract clean answers far more readily than they extract a marketing paragraph that takes 200 words to reach the point.
- Publish the facts nobody else will. Real prices or price ranges, real timelines, service areas, what you do not do, and who you are a bad fit for. Specific, verifiable detail is exactly what a model needs in order to justify naming you.
- Build third party corroboration. Accurate directory listings, industry associations, supplier and partner pages, guest articles, local press and genuine reviews. This is the same prominence work that lifts local rankings, which is why it pays twice.
- Keep the Google Business Profile alive. Categories, services, hours, photographs, questions and answers, and a steady flow of reviews. Local recommendations lean heavily on it, and we covered that groundwork in our guide to local SEO in Dwarka and the Google map pack.
- Let the AI crawlers in. Check that robots.txt and any security plugin or CDN rule is not quietly blocking the crawlers used by AI search products. We see this more often than you would expect, usually added years ago by somebody trying to stop scrapers.
How to measure something that has no rank tracker
You cannot check position four for a chat answer, because there are no positions. What you can do is measure it deliberately.
- Prompt testing. Keep a fixed list of 20 to 30 buying questions a real customer would type, run them monthly across the main assistants, and record whether you were named and how you were described. Trends in that sheet are the closest thing GEO has to a ranking report.
- Referral traffic. Visits from AI assistants show up as referrals in analytics. The volume is usually small and the intent is usually excellent.
- Brand searches and direct calls. When people are recommended a name, they often search that name afterwards. A rise in brand searches with no ad spend behind it is frequently GEO working.
- How you are described. Being named is half of it. Being named accurately is the other half. If an assistant is describing services you dropped two years ago, that is a content problem you can fix this week.
What does not work
The shortcuts arrived faster than the results did. Stuffing pages with phrases like best in Delhi does nothing, because assistants are summarising consensus rather than counting keywords. Publishing forty thin AI written articles a month does not build authority either, it dilutes the pages that were working. Hidden text aimed at bots is a reputational risk with no upside. And there is no way to pay a platform to be recommended, which is precisely why a focused local business can outrank a national brand here.
How long it takes
Retrieval driven wins can appear quickly, sometimes within weeks of fixing structured data and publishing genuinely useful answer pages, because the assistant is reading the live web. The deeper wins, where a model consistently names you without needing to search, follow the same slow curve as authority in ordinary search: months, not days. Our honest timeline for that curve is set out in how long SEO really takes in Delhi.
Frequently asked questions
Is GEO different from SEO?
It overlaps heavily. Crawlability, structured data, consistent business information and third party trust serve both. The differences are in format and intent: GEO content is written to be extracted and quoted rather than to be browsed, and success is measured in mentions rather than clicks.
Do I need to do this if my customers are all local?
Local is where it bites hardest. Recommend a good physiotherapist near Dwarka Mor is exactly the kind of question people now ask an assistant instead of scrolling a map, and only a few businesses get named.
Should I block AI crawlers to protect my content?
If your business depends on being discovered, blocking the crawlers that feed recommendations is a strange way to protect yourself. Publishers with paid content have a genuine argument here. A service business almost never does.
Can I just add schema and be done?
Schema helps machines read what is already there. It cannot invent expertise, reviews or mentions that do not exist, and it will not rescue a site with no useful content on it.
Where to start
Run five questions your best customers would actually ask into any AI assistant today and see whether you appear. If you do not, the gap is almost always entity consistency, structured data or third party corroboration rather than anything exotic. We will check all three as part of a free marketing audit, and you keep the findings whether you work with us or not.
