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How to Get Your Brand Recommended by ChatGPT, Claude and Gemini: 5 Ways to Build AI Trust (GEO)
A founder messaged me last month, a little rattled. His competitor: smaller team, lower revenue, honestly a weaker product, had shown up as the recommended option when someone asked ChatGPT “what’s the best B2B invoicing tool for mid-size manufacturers in India.” His own brand? Not even a mention. He had spent two years optimising for Google. He had not spent a single day thinking about AI.
This is the conversation I am having with almost every founder and CMO right now: “How do I get my business featured in AI-generated answers?”
The short answer, before the long one: your brand gets recommended by AI models when it shows up as clear, consistent, third-party-validated, distinctive and current across the sources those models learn from. Not one of those. All five. Miss any and you become an option the AI hesitates to name.
Here are five real, practical shifts you can make: the same shifts I walk founders through in every GEO conversation.
1. Write Like You Are Answering a Question, Not Chasing a Keyword
Most B2B websites are still written for a 2015 Google crawler: dense paragraphs stuffed with “leading provider of enterprise solutions” type language.
AI models do not reward that. They reward clarity: a direct answer to a specific question, stated plainly, ideally within the first two lines of any page.
When we audited a healthtech client’s website recently, their “About” page took four paragraphs to say what they actually did. We rewrote it to answer one question in the first sentence: what problem do you solve, for whom and how. Within weeks, their positioning language started showing up, almost verbatim, in AI-generated comparisons of vendors in their space.
The mechanism is simple. When someone asks ChatGPT or Claude “what does [company name] do,” the model looks for the shortest, clearest sentence that answers the question. If your homepage or About page contains that sentence, the model uses it. If your pages hide the answer behind marketing language, the model either guesses or skips you entirely.
Ask yourself: Basis your website, if someone asked an AI model to describe what your company does in ONE sentence, would it get the answer right or would it have to guess?
2. Make Sure Your Business Says the Same Thing Everywhere
AI models cross-reference.
If your website says you are a “GTM consultancy for B2B SaaS,” your LinkedIn says “marketing agency,” your Google Business Profile lists you under “advertising service” and an old press mention calls you a “branding studio” the model does not know which one to believe. So it often just does not recommend you at all.
Consistency across your website, GMB listing, social profiles and any press or directory mentions is one of the simplest, least glamorous things you can fix and one of the highest-leverage.
We recently helped a client clean up eleven different descriptions of the same business scattered across the internet into one consistent narrative and their AI visibility for category searches improved within a quarter.
This is not about repeating identical text everywhere. It is about ensuring that the substance of who you are, what you do and who you do it for stays the same regardless of platform. A LinkedIn bio has different constraints than a website hero section. But both should point to the same underlying answer.
Ask yourself: Could you pull up your own GMB listing, your LinkedIn page and your website right now and be confident they all tell the same story?
3. Earn Mentions Through PR — Do Not Just Publish Them Yourself
Here is something founders do not want to hear: your own website talking about how great you are carries very little weight with AI models.
What carries weight is other credible sources publications, industry roundups, founder interviews, analyst mentions: talking about you. This is exactly what PR has always done, except now it is not just for human reputation. It is training data for AI trust.
A fintech client of ours was invisible in AI-generated “top fintech brands to watch” style answers until we placed three bylined pieces and one founder interview in industry press over two months. The difference was not subtle.
This is why PR and GEO are no longer separate disciplines. The credibility signal AI models use is essentially the same signal serious human buyers have always used: third-party validation from sources with editorial accountability. What changed is that the audience reading those sources now includes machines that are increasingly the first layer of business discovery.
Ask yourself: When was the last time a credible third party, not your own marketing team, said something about your brand publicly?
4. Take a Position Instead of Playing It Safe
AI models tend to recommend brands that have a clear point of view, not ones that sound like every other player in the category.
If your content reads like a watered-down version of your five competitors’ content, there is nothing distinctive for a model to latch onto.
Category creation language: naming the problem in your own words, taking a stance on how the industry should change, gives AI something specific to quote and attribute to you.
One of our clients in the data solutions space stopped describing themselves as “a data management platform” and started talking about “data debt” as a problem only they were naming. That specific phrase now shows up when people ask AI tools about the category.
The pattern I see across founders who get this right is that they stop trying to fit into an established category and start naming a new one — even if the new category is just a sharper framing of an old problem. AI models cite named concepts more readily than generic descriptions, because named concepts are easier to attribute correctly.
Ask yourself: Does your brand’s content sound distinctly like you, or could you swap the logo with a competitor’s and nobody would notice?
5. Keep Refreshing — Stale Information Gets Skipped
AI models are wary of outdated information, and B2B websites are notorious for going stale. Pricing pages from two years ago. Team pages with people who have left. Case studies from a pre-pandemic client roster.
If your last blog post is dated three years back, that is a signal, and not a good one.
Regular updates across your website, active social media and structured content (like FAQs and schema markup) tell AI models your brand is alive and current enough to trust with a real-time answer.
The threshold is not weekly output. It is enough visible activity that a model checking your recency signals does not conclude the business is dormant. For most B2B brands, that means a genuine content cadence — one to two substantive updates a month across websites, LinkedIn and other public surfaces: is sufficient to stay in consideration.
Ask yourself: If an AI model looked at your website today, would it think your business was still active or would it hesitate?
The bigger point
None of these five shifts is exotic. They are the things good marketing has always done. Clarity. Consistency. Credibility. Distinctiveness. Currency.
What has changed is the audience. Those signals are now also being read by machines that are increasingly the first layer of discovery for founders, CMOs, procurement heads, journalists, investors and enterprise buyers researching vendors in your category.
The businesses who move first will find themselves cited confidently by AI models for years. The ones who wait will end up correcting misinformation the models have already learned to repeat.
Frequently Asked Questions
How does GEO differ from SEO?
SEO optimises for ranking on Google’s search results pages. GEO (Generative Engine Optimisation) optimises for being cited inside the answers AI models generate. SEO happens after the search. GEO happens long before it through the sources AI models learn from during training and continuous updates
Which AI models matter most for B2B brand visibility?
Currently, ChatGPT, Claude, Gemini and Perplexity are the AI engines most B2B buyers use when researching vendors. Google’s AI Overviews also matter, since they appear at the top of most Google searches now. Optimising for these five covers the majority of AI-driven discovery.
How long does it take to see GEO results?
Meaningful shifts in AI visibility typically take three to six months of sustained work across content clarity, third-party mentions and brand consistency. Some changes like fixing inconsistent descriptions across your web presence can produce shifts within a single quarter. Building genuine category authority through PR usually takes longer.
Can I do GEO myself or do I need an agency?
Founders can do the basics themselves cleaning up inconsistent descriptions, rewriting for clarity, publishing regularly. The parts that usually benefit from agency support are earning credible third-party mentions and shaping category narrative through PR, which are harder to execute solo.
Is GEO replacing SEO?
No. Both matter. SEO still drives Google traffic and Google still handles the majority of research queries. GEO is a parallel discovery layer that is growing quickly. Serious B2B brands should invest in both often through the same integrated marketing and PR partnership.
What Next?
If any of these five points made you pause and question what your current marketing setup is actually doing for you, reach out to us at Umanshi — or share this with a founder or CMO who could use the wake-up call.
I am Tamanna Gupta, an IIM Bangalore alumna and founder of Umanshi Marketing, where I have worked with over 200 founder-led businesses on brand strategy, PR, and positioning after an earlier career marketing over 50 MNCs.
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