What GEO actually means
Generative Engine Optimisation is the work of making a brand visible inside AI-generated answers, rather than only inside a ranked list of links. When someone asks an assistant which marketing agency to use, or how to choose a CRM, the model composes a response and names a small number of sources. GEO is the practice of being one of those named sources.
The term is new. Most of the underlying work is not. What has changed is the shape of the result: a search page has ten positions and a scrollbar, an AI answer has roughly three citations and no page two. The distribution is far more concentrated, which raises the value of being included and lowers the value of being nearly included.
On a search page, position eleven is disappointing. In an AI answer, it does not exist.
Why this is not just SEO with a new name
A lot of the foundations carry over. Crawlable content, clear structure, real expertise and credible external references all still matter, and a site that fails those will fail in both places. Anyone selling GEO as an entirely separate discipline is overstating it.
But three things genuinely differ, and they change what you build.
Models retrieve passages, not pages
A search engine ranks a URL. A language model pulls a passage that answers the question and composes around it. That rewards content written in self-contained, extractable chunks: a question stated plainly, then answered immediately, before any elaboration. Long preambles that delay the answer perform badly, because the useful passage is buried inside filler.
Entities matter more than keywords
Models reason about things, not strings. Whether your brand is understood as a marketing agency in Hyderabad depends on whether that fact is stated consistently across your site, your structured data, and independent sources that mention you. Keyword density is irrelevant here. Consistency of claim across sources is close to everything.
Citation is won off your own site
A model deciding which agencies to name is drawing heavily on third-party sources: directories, roundups, press, forum threads, review platforms. You can write the best page on the internet about your own excellence and remain uncited, because self-description carries little weight in a system built to synthesise across sources.
What actually moves the needle
In rough order of impact, based on what is currently observable rather than what sounds compelling:
- Be readable without JavaScript. Many AI crawlers do not execute it. A site that renders entirely client-side is invisible to them regardless of content quality.
- State facts plainly and consistently. Same description of what you do, same location, same service names, everywhere including your structured data.
- Answer real questions in self-contained passages. Question as a heading, answer in the first sentence beneath it.
- Get mentioned by sources models already trust. Directories, industry roundups, review platforms, genuine press. This is the highest-effort item and the highest-return one.
- Add structured data. It will not force a citation, but it removes ambiguity about what your entity is.
- Keep content current. Models and the search indexes behind them favour recency for anything time-sensitive.
How to tell whether it is working
Measurement is genuinely weaker here than in traditional search, and it is worth being honest about that rather than presenting a dashboard that implies more precision than exists. There is no Search Console for ChatGPT.
What you can do: track a fixed set of buying-intent prompts, run them across the major assistants on a schedule, and record whether you appear and who appears instead. It is a sampling exercise, not a census, and results vary between runs because these systems are non-deterministic. Directionally it tells you plenty. Presented as an exact metric, it would be dishonest.
Anyone selling you a precise AI visibility percentage is selling you a number they cannot verify.
Why the window is open in India right now
Most Indian brands have not started. Sites are still built to be pretty rather than parseable, third-party mentions are thin, and the entity signals that make a brand legible to a model are largely absent. That is not a permanent state, and the cost of entry rises as more brands do the work.
The unglamorous truth is that most of what wins here is work that was always worth doing: be genuinely useful, say what you do clearly, and be mentioned by people who are not you. GEO mostly raises the penalty for having skipped it.