How to Get Your Brand Recommended by ChatGPT, Perplexity and Google’s AI Overviews
AI assistants don’t rank brands — they repeat what they can verify. Seven practical steps to become the brand they name.
Ask an AI assistant “what’s the best digital marketing course in Pune?” or “which CRM should a 10-person company use?” and you’ll get a short list of names. If your brand isn’t on that list, you’re invisible at the exact moment someone is ready to choose.
There’s no button to press to fix this, and no one can guarantee an AI will name you. But there are clear, practical steps that make your brand far easier for AI systems to find, understand and trust.
First, understand how AI assistants decide
Most AI assistants combine two sources of knowledge: what the model learned during training, and what it retrieves from the web in real time when it searches. Tools like Perplexity, ChatGPT search, Gemini and Google’s AI Overviews lean heavily on retrieval — they find pages, read them, and summarise.
That means two things matter: whether your pages can be retrieved and understood, and whether enough credible sources say consistent things about you.
Step 1: Find out what AI says about you today
Write down 20–50 questions your buyers realistically ask — “best”, “top”, “vs”, “alternatives to”, “how much does…”, “who can help with…”. Run them through ChatGPT, Gemini, Claude, Copilot and Perplexity. Record:
- Are you mentioned? In what position?
- Which competitors are named?
- Which websites are cited as sources?
- Is the information about you accurate?
Repeat monthly. AI answers vary between sessions, so look for patterns, not single results.
Step 2: Make sure AI can actually read your site
- Check your robots.txt isn’t blocking search and AI crawlers you want to reach you, such as Googlebot, Bingbot, OAI-SearchBot and PerplexityBot.
- Make sure important content is in the HTML, not hidden behind scripts, tabs that never load, or images of text.
- Keep pages fast and mobile-friendly.
- For Google’s AI features, pages must be indexed and eligible to show a snippet — check Google Search Console.
Step 3: Publish content worth citing
The original GEO research paper from Princeton and IIT Delhi found that adding statistics, quotations and citations to credible sources improved visibility in AI-generated answers by up to 40%. Fluent, easy-to-understand writing also helped. Keyword stuffing didn’t.
In practice:
- Lead with a direct answer, then explain.
- Include specific numbers, price ranges, timelines and examples.
- Cite the sources behind your claims.
- Share original data — survey results, benchmarks, case figures you’re allowed to publish. Unique facts are the most citable facts.
Step 4: Be clear about who you are
AI models get confused by inconsistent information. Make sure your brand name, services, locations, founding story and contact details match across your website, Google Business Profile, LinkedIn, social profiles and directory listings. Add Organization and LocalBusiness structured data to your site as a clarity layer.
A strong About page and dedicated pages for each service help too. If you offer five services on one page, you’re making the model guess.
Step 5: Earn mentions where AI looks
When AI assistants recommend brands, they often cite comparison articles, review platforms, industry directories, news coverage and community discussions. Look at which sources were cited in Step 1 and work to be included there:
- Pitch expert commentary to industry publications.
- Ask happy customers for reviews on the platforms that matter in your category.
- Get listed in reputable directories and “best of” roundups.
- Participate genuinely in communities where your buyers ask questions.
Step 6: Don’t forget Google’s AI Overviews
Google says AI Overviews now reach more than 2.5 billion people a month. Google also states there are no extra requirements or special markup to appear in them — the same SEO best practices apply. Focus on covering a topic in depth, including likely follow-up questions, because AI Mode breaks complex queries into related sub-questions and searches for each.
Step 7: Measure the right things
- Mention rate: the share of your tracked prompts where your brand appears.
- Citation rate: how often your own website is linked as a source.
- Accuracy: whether AI describes your offer correctly.
- AI referral traffic: visits from chatgpt.com, perplexity.ai, gemini.google.com and similar in your analytics.
What about llms.txt?
llms.txt is a proposed file that summarises your site for large language models. It’s cheap to add and some tools read it, but it isn’t a magic switch — and Google has said you don’t need AI text files to appear in its AI features. Do the fundamentals first.
The bottom line
AI recommendations reward the same things good marketing always has: being genuinely useful, being clear about what you do, and being talked about by people other than yourself. The difference is that now a machine is keeping score.
Want to know where you stand? Start with our free AI Visibility Audit, or talk to us about GEO for your brand.
