Be the business ChatGPT
actually recommends.
Optimisation for how ChatGPT discovers, understands, and recommends businesses, built around the specific ways it retrieves and reasons about information.
ChatGPT visibility optimisation is the work of making a business easy for ChatGPT to find, understand, and confidently recommend when a user asks for a supplier, service provider, or product recommendation in a given category or location.
ChatGPT draws on a combination of its trained knowledge and, when browsing is available, live web retrieval. Both routes reward businesses with a clear, consistent, well-documented presence across the web, and both can be actively worked on rather than left to chance.
This service focuses on the specific patterns that influence whether ChatGPT surfaces a business at all, and whether it does so accurately, including entity clarity, consistent factual representation, and the strength of independent mentions and citations across the web.
The businesses that address this now are the ones AI systems learn to trust first.
A meaningful and growing number of people now ask ChatGPT directly for recommendations they would previously have searched for on Google. If a business is not part of what ChatGPT has learned or can retrieve, it is simply absent from that conversation, with no equivalent of a low search ranking to signal the gap.
Because ChatGPT's training data has a cutoff and its live retrieval depends on what it can find and trust, businesses with thin, inconsistent, or contradictory information across the web are at a real disadvantage compared to those with a clear, well-corroborated presence.
This is an area where deliberate, ongoing work compounds. Consistent factual signals build up over time and across many sources, which is exactly why starting early matters more here than in a channel that can be reversed quickly.
How the mechanics work: ChatGPT's recommendations draw on patterns learned during training and, where enabled, on live web browsing that retrieves and reads current pages. Clear entity definition, consistent facts across multiple independent sources, and directly stated capabilities all increase the likelihood and accuracy of a recommendation.
A structured process, not a black box.
Recommendation testing
We test how ChatGPT currently describes and recommends your business and your competitors for realistic customer prompts.
Entity and factual audit
We check how consistently your business is described across your own site, directories, and other independent sources.
Content and structured data work
We strengthen your site's clarity and structured data so both training-time and retrieval-time signals are as strong as possible.
Citation building
We identify and pursue the credible, independent mentions that support ChatGPT's confidence in recommending you.
Consistency correction
We identify and help resolve outdated or contradictory information about your business found elsewhere on the web.
Ongoing monitoring
We periodically re-test recommendations as ChatGPT's models and retrieval behaviour continue to evolve.
What's technically involved
- Organisation and Service schema
- Consistent business facts across directories and citations
- Clear, specific service descriptions (not vague positioning language)
- Independent third-party mentions and citations
- Up-to-date, accurate public information
- Location and service-area clarity
Related disciplines, different mechanics.
ChatGPT visibility does not depend on a ranking algorithm at all. It depends on how clearly and consistently a business is represented across many independent sources, which is a fundamentally different, and in some ways more durable, kind of work than classic SEO.
Common questions
Can I really influence what ChatGPT says about my business?
Yes, indirectly. You cannot edit ChatGPT's outputs directly, but you can materially influence what it learns and retrieves by ensuring your business is clearly, consistently, and accurately represented across your own site and independent sources.
Does ChatGPT browse the live web?
In many configurations, yes, ChatGPT can retrieve and read current web pages rather than relying solely on its training data. Both the training-time and retrieval-time signals matter to this work.
How is this different from Google AI visibility work?
There is overlap, but ChatGPT and Google draw on different retrieval mechanisms and different underlying data. Optimising for one improves but does not fully guarantee the other, so both are addressed as distinct, related workstreams.
How do I know if ChatGPT already recommends me?
We test this directly as part of the audit process, asking ChatGPT realistic customer questions in your category and location to see exactly what comes back today.
Is this only relevant for well-known brands?
No. Smaller, clearly documented local businesses are often easier for ChatGPT to describe with confidence than larger, more diffusely represented brands, which makes this genuinely accessible work for businesses of any size.
ChatGPT Visibility Optimisation works best alongside a strong technical foundation: AI Solutions, Technology Partner.
Let's see where you stand today.
We'll show you exactly how AI systems currently describe your business.