AI Search Visibility: How We Get Brands Cited by ChatGPT and Perplexity

Generative Engine Optimization is the work of getting your brand named inside AI answers. When someone asks ChatGPT "who builds AI receptionists for clinics in Delhi" or asks Perplexity to compare vendors in your category, the assistant assembles an answer from pages it trusts and can extract cleanly. GEO makes your pages the ones it extracts.

To be plain about what this page is: it describes how we do this work, not a project we did for a named client. We run this exact discipline on our own site — the entity schema, the answer-first pages, the weekly automated Search Console report that lands in our inbox with zero human involvement — and this page walks through the method we sell.

When You Need This

• Prospects mention asking ChatGPT or Perplexity about your category, and your company never came up.
• Your Google rankings are fine but organic clicks keep sliding, because AI Overviews answer the question above your listing.
• A competitor gets named in AI answers and you cannot tell why, or how to respond.
• You publish content regularly but none of it is written in a shape an AI can quote.
• Nobody in your company can say, with numbers, how visible you are in AI search this month versus last.

How the Work Is Done

1. Baseline

Before touching a single page, we measure. We build a prompt set of 20-50 real buyer questions for your category — the questions a customer would actually type — and run them across ChatGPT, Perplexity, Gemini, and Google AI Overviews. For each one we record who gets cited, who gets named, and where you appear, if at all. This becomes the scorecard everything else is judged against. Skipping this step is how GEO turns into vibes; the baseline is what makes the later claim "we moved the number" honest.

2. Structure

AI assistants quote pages that answer the question in the first two sentences, then support the answer with specifics. Most business websites do the opposite: a hero slogan, three paragraphs of throat-clearing, the actual answer buried in a tab. We restructure the pages that matter — service pages, comparison pages, FAQ content — into answer-first shape, add the schema markup (Organization, Service, FAQ) that lets machines parse them, and make sure every page states plainly what the company does, for whom, and where. On our own site this meant rebuilding the brand pages around a single entity schema; the same rebuild is what we do for clients.

3. Entity

Assistants trust brands they can verify. That means the same company name, description, founder, and location appearing consistently everywhere the AI looks: your site's structured data, your Google Business Profile, directories, LinkedIn, and the profiles that feed training and retrieval. This stage is unglamorous cleanup — fixing a mismatched address, a stale description, a missing sameAs link — and it matters more than most content work, because an assistant that cannot resolve who you are will not cite you.

4. Measure

Every week, the baseline prompt set runs again and the scorecard updates: citations gained, citations lost, which questions still have no answer from you. Monthly, that data drives the content plan — the uncited questions become the next pages we write or restructure. The human gate sits here: nothing publishes without your approval, and the report shows you the raw prompt-by-prompt results, not a summarized win rate you have to take on faith.

Where This Goes Wrong

• Optimizing without a baseline. Teams rewrite pages for months and can only say the content "feels better." If you did not measure citations before, you cannot prove movement after.
• Writing for the crawler instead of the buyer. Keyword-stuffed FAQ farms get skipped by assistants and embarrass you when a human lands on them. The pages that get quoted read well aloud.
• Treating GEO as a one-time project. AI answers shift as models update and competitors publish. A brand that stops measuring goes quietly invisible again within a quarter.
• Faking authority. Invented statistics and fabricated citations occasionally slip into an AI answer, then get traced back to you. Everything we publish survives a source check, because the downside of getting caught is permanent.

What You Get

• The baseline citation report and the prompt set, both yours to keep.
• Restructured pages with schema markup, shipped into your own codebase or CMS — you own every line.
• The entity cleanup across your profiles and structured data.
• A weekly citation scorecard and a monthly content plan, with you approving every publish.
• All data in your accounts. If we part ways, the measurement keeps working without us.

AI search is already deciding which vendors buyers hear about first. If you want to know where you stand today — that baseline run is where every engagement starts. See the GEO service →