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GEO Explained: Why Your Brand Needs to Be Inside AI Answers, Not Just on Page One
Last month, a SaaS founder we work with did something most founders should do this quarter. He opened ChatGPT and typed: “What are the leading platforms for supply chain decision intelligence in India?”
The answer that came back named four companies. His was not one of them. His company had real customers, real funding, real differentiation, and a category-defining product. But to the AI, his company did not exist.
This is the new reality of brand discovery. And it is the reason a category called GEO — Generative Engine Optimization — has emerged as one of the most important shifts in marketing since search engines themselves.
If you run a startup, lead a marketing function, or are responsible for how your brand shows up in the world, this matters more than most founders realise.
The short answer
Generative Engine Optimization, or GEO, is the practice of shaping how AI engines like ChatGPT, Claude, Perplexity, Gemini and Google’s AI Overviews — describe, cite and position your brand when users ask questions about your category. Unlike SEO, which optimises for ranking on a search results page, GEO optimises for whether your brand is inside the AI’s answer at all.
In SEO, you compete to appear on page one. In GEO, there is no page one. There is one answer. You are either part of it, or you are not and most of the time, the user never sees who else was in the running.
The fundamental shift: from ranking to being the answer
For two decades, marketing was built around a clear principle: get to the top of the search results. You ranked, you bought a slot, you ran an ad. The user saw a list and made a choice.
That layer is quietly disappearing.
When someone asks ChatGPT or Gemini a question today, there is no list. There is a single, confident, AI-generated answer. The user does not see the ten brands that were not chosen. They do not see your competitor’s blog post on page two. They see one summary, with maybe a few cited sources, and they move on with their day.
This is not a small UI shift. It is a structural rewrite of how discovery works.
The brands still optimising only for the search results page are preparing for a room that is emptying out.
SEO vs GEO: what's actually different
The clearest way to understand GEO is to see it next to SEO.
Aspect 1: Where the work happens
SEO – After the search query
GEO – Long before the search query
Aspect 2: What you optimise
SEO – Your ranking on a result page
GEO – The information AI engines have already absorbed about you
Aspect 3: What you produce
SEO – Keyword-targeted pages, backlinks, technical hygiene
GEO – Editorial authority, third-party citations, structured category presence
Aspect 4: Who does the work
SEO – SEO specialists, content writers
GEO – A team that thinks like editors, PR strategists and brand architects
Aspect 5: Who does the work
SEO – Higher position on search results
GEO – Being correctly cited, described and recommended inside AI answers
Aspect 5: Time horizon
SEO – Weeks to months
GEO – Months to years (compounds slowly)
The most important line above is the first one. In SEO, you work after the search. In GEO, all the work has to happen before the search.
Because by the time someone asks the AI about your category, the AI has already made up its mind. It has read what it has read. It has formed a view of who matters. Your job is not to influence that moment. Your job is to have already done the work that shaped what the AI knows.
Why founders are missing this — and the cost of waiting
In conversations with founders across SaaS, B2B services, healthcare and manufacturing, two consistent mistakes show up.
Mistake one: treating GEO as an extension of the SEO retainer.
It is a different muscle. SEO is technical and tactical — meta tags, keyword clusters, page speed, internal linking. GEO is editorial and reputational — building credible third-party presence that AI engines actually pull from when generating answers. The team that writes meta tags is rarely the team that can build the kind of category authority that a model will cite.
GEO needs people who think like editors and PR strategists. People who understand how a category is discussed in the press, in analyst notes, in serious industry conversations — and who can place a brand inside that conversation with substance.
It is closer to reputation building than to search marketing.
Mistake two: deciding to look at this later.
This is the more dangerous one. Founders are not waiting for proof — they have simply decided this is a marketing problem they will think about next year, after the next funding round, after the team grows. The danger is that AI does not wait. It is being trained, updated and shaped right now, every day, with or without your input.
By the time a founder finally pays attention, the AI has already formed a view of their category, repeated it to thousands of users, and built confidence in that view. At that point, you are not introducing yourself to the model. You are arguing with it.
And the cost of correcting a wrong impression is always higher than the cost of shaping the right one from the start.
What AI engines actually use to form an answer
This is where most founder confusion sits. People assume AI search works like Google: keywords, backlinks, technical signals. It does not.
When an AI engine answers a question about a category, it draws on four kinds of input:
1. Authoritative third-party sources
Major business publications, industry analyst commentary, credible trade media. These are the citations the model trusts most because they have editorial accountability behind them.
2. Long-form, structured content with clear topical authority.
Blogs, articles and resources that thoroughly cover a category — not surface-level marketing copy, but real strategic depth.
3. Consistent brand description across the web.
Your own website, LinkedIn presence, press releases, partner sites, awards listings. If different sources describe what you do differently, the AI gets confused and either guesses or omits you.
4. Recency and freshness signals.
AI engines weigh recent, current information more than older content. A founder who published nothing in 18 months is invisible compared to one who has been consistently contributing perspective.
Notice what is not on this list: keyword density, backlink volume, meta description tweaks. Those still matter for traditional Google search.
A real example: how a Mumbai SaaS founder gets discovered in 2026
Imagine a founder building a B2B SaaS company in supply chain decision intelligence — a real category we have worked in, with companies like Inquizity.
An enterprise CIO somewhere in India is researching vendors. Her journey now looks like this:
1. She types a query into ChatGPT: “Who are the leading vendors for AI-driven supply chain decision intelligence in India?”
2. ChatGPT returns three or four named companies with a short description of each.
3. She picks up the names, cross-references them on LinkedIn and Google.
4. She narrows to two for an exploratory call.
5. She never opens a search results page.
In that journey, the entire vendor shortlist was decided at step two. Everything downstream is built on the answer the AI gave.
If the SaaS founder’s brand was inside that answer, she enters the sales conversation already credible. If she was not, she may never get the meeting at all.
This is the new layer of discovery. It is invisible to most founders because they are not the ones running the query. But it is shaping their pipeline whether they know it or not.
What good GEO work actually looks like
A real GEO programme is not a content calendar dressed up in new vocabulary. It is structurally different work.
It includes:
1. Auditing what AI engines currently say about your brand
Before you fix anything, you have to know what is broken. We run prompts across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews to map what each engine currently believes about your company and category.
2. Building third-party authority
This is where GEO and PR overlap heavily. Credible mentions in business publications, analyst commentary, expert authored articles and trade media all become source material the AI eventually absorbs.
3. Structuring your own content for AI extraction
Long-form pages with clear category definitions, named frameworks, FAQ-style structures, and consistent entity descriptions help AI engines pull clean information from your site rather than guessing.
4. Ensuring brand consistency across every public surface
Website, LinkedIn, partner sites, press releases, awards listings, founder bios — if these say different things, the AI gets a contradictory signal.
5. Establishing founder and CXO presence as expert voices in the category
Thought leadership is no longer a vanity exercise. It is one of the most direct ways AI engines learn who is credible in a space.
This is the work we do at Umanshi through Avishkar, our dedicated GEO and AEO service. It is not an extension of SEO. It is a different discipline that pulls from PR, brand strategy, editorial content and technical structure simultaneously.
How GEO connects to PR, brand and content
This is where the integrated reality of modern marketing becomes clear. GEO cannot be done well by an isolated team. It requires:
1. The PR team to build credible third-party citations.
2. The brand team to maintain consistent positioning across every public surface.
3. The content team to produce the kind of structured, authoritative pages AI engines pull from.
4. The SEO team to ensure the technical foundation is clean enough for AI engines to crawl and parse.
Founders trying to solve GEO by hiring one specialist usually find themselves frustrated within three months. The discipline is genuinely cross-functional.
For founders running smaller teams, this is why working with a partner that operates across PR, brand and digital simultaneously matters. The integration is the differentiator.
The first three moves a founder should make this quarter
If you are reading this and want to act, here is the smallest version of a useful GEO start.
1. Audit what the AI already says about you
Spend 30 minutes asking ChatGPT, Claude, Perplexity and Gemini three to five questions about your category and your company. Read the answers honestly. Is your company named? Is the description correct? Is your category framed the way you would frame it?
2. Identify your three weakest signals
Is your founder bio inconsistent across platforms? Has no credible third-party publication described what you do clearly? Is your category page on your own website thin or generic? Pick the three biggest gaps and start with those.
3. Build authority in the right places
This usually means a combination of authored thought leadership in serious publications, a sharper category page on your own website and consistent founder presence on LinkedIn that the model can read and learn from.
You will not see compounded results in a week. GEO is a slow, editorial discipline. But the founders starting now will be the names AI engines confidently recommend two years from now. The ones who wait will spend significantly more money later, correcting impressions they could have shaped for far less today.
The bottom line
GEO is not a marketing trend. It is the early operating layer of a new discovery system that is replacing the search results page — slowly for some categories, quickly for others, but unmistakably for all.
The AI is now the first meeting before the meeting. It is briefing your customer before your salesperson walks in. It is briefing the journalist before the interview. It is briefing the investor before the pitch.
If that brief is wrong, everything downstream gets harder, and you will never see it happen.
If you want a candid view on what AI engines currently say about your brand, and what it would take to shape that into the version of your story you actually want the world to hear first, Avishkar by Umanshi runs a 30-minute GEO visibility audit, look at where your brand currently stands in the AI answer layer and where it could be.
