Get Your Brand Discovered in ChatGPT

ChatGPT SEO is the work of making your business understandable and credible to AI systems, so that when someone asks a question your business could answer, you're part of the response. It covers your website content, how clearly your brand and services are described, structured data, and the third-party signals — reviews, profiles, mentions, publications — that AI systems draw on to decide who is worth referencing.

Traditional SEO aims to place a page in a ranked list that the user then clicks. ChatGPT SEO aims to have your business included in an answer, where there may be no list and often only two or three names mentioned. The foundations overlap heavily — good technical health, clear content, real authority — but AI search puts far more weight on how unambiguously your brand is described and how consistently it's referenced elsewhere. Traditional SEO hasn't become less important; this builds on top of it.

No. Anyone promising that is overselling. AI answers vary by how the question is phrased, the user's location and context, which sources the model retrieves, and ongoing platform changes nobody outside OpenAI controls. What we can do is improve the inputs that influence whether you get mentioned, then track your mention and citation rates across a set of prompts over time so you can see whether the direction is right.

Expect three to six months before meaningful movement. AI systems need time to crawl updated content, and the third-party signals that influence credibility — mentions, reviews, references — accumulate gradually. Brands with an existing content base and good technical health move faster. You'll see progress on leading indicators like prompt coverage and citation presence well before you see your name in answers consistently.

Yes. Local businesses often have an advantage here, because location-specific questions have a smaller field of credible answers than broad national ones. The work differs by industry — healthcare, finance and legal face stricter accuracy expectations from AI systems, which makes consistent, verifiable brand information more important rather than less.

A written report covering a set of prompts your customers are likely to ask, which brands currently appear for them, where you do and don't get mentioned, how accurately AI describes your business, which competitors are being recommended instead, and the gaps in your content, entity information and authority signals — with a prioritised list of what to fix first.

We define a set of commercially relevant prompts for your business and test them on a regular schedule, recording whether your brand is mentioned, whether it's recommended, and which sources get cited. Because answers vary between runs, we look at mention rate across repeated tests rather than treating any single response as proof. That gets reported alongside your organic search and referral data.

Often, yes — though indirectly. We can't edit a model's output, but wrong information usually traces back to outdated or inconsistent sources: an old address on a directory, a stale description on a profile, conflicting service lists across pages. Correcting those at source, making the accurate version prominent and consistent, and strengthening authoritative references tends to improve what AI systems report over time.