AI Visibility Audit
We put your customers' real questions to ChatGPT, Gemini, Claude and Perplexity, and record who gets recommended, what is said about you, and what is wrong or missing.
AI search visibility
More and more buyers ask ChatGPT, Gemini or Claude instead of scrolling through Google results. We make sure those assistants can find, understand and recommend your business and your products.
A search engine shows a page of results and lets the customer choose. An AI assistant reads the web for them and replies with a single answer and a handful of names. If you are one of those names, you get a warm, pre-qualified customer. If you are not, you were never in the running - and you will not see it in your analytics.
That is true whether someone is asking for "a family hotel in Crete with a kids' club" or "an ecommerce platform that handles B2B price lists". The assistant can only recommend what it can read, understand and trust.
There are four routes into an AI answer. Most businesses are only partly visible on each.
What the public web said about you when the model was trained: your site, articles, reviews, forums and directories.
Assistants search and read pages while answering. Pages that load slowly or need JavaScript to show content are often skipped.
Machine-readable data - prices, availability, locations, opening hours, FAQs - that can be quoted without guessing.
Reviews, listings, comparisons and press. Assistants favour businesses that independent sources also describe.
Practical engineering and content work - not tricks to game a chatbot.
We put your customers' real questions to ChatGPT, Gemini, Claude and Perplexity, and record who gets recommended, what is said about you, and what is wrong or missing.
Server-rendered pages that deliver complete content as plain HTML, fast, with clean structure - so AI crawlers read everything a person sees.
Schema.org markup for your organisation, products, offers, rooms, reviews and FAQs, so the facts about you are unambiguous.
Pages written around the questions buyers ask: what it costs, who it is for, how it compares, what is included. Specific and quotable.
Robots rules, sitemaps and an llms.txt file configured so AI crawlers are allowed in and pointed at the pages that matter.
Consistent, accurate facts across listings, review sites and directories - the independent sources assistants rely on for confirmation.
Catalog, pricing and availability exposed through feeds and APIs, ready for AI shopping and booking features as they roll out.
Regular re-testing of your key questions and tracking of visits arriving from AI assistants, so you can see what is working.
People describe what they need in full sentences. Your content has to match those sentences.
Travellers and shoppers ask for recommendations with their own constraints attached.
We make sure your rooms, products, prices and policies are stated clearly enough to be matched.
Buyers use AI to build a shortlist before they ever speak to a salesperson.
We publish the specifications, integrations, comparisons and case evidence that put you on that shortlist.
No - it is the foundation. AI assistants lean heavily on search indexes and on the same signals search engines use: clear pages, fast loading, trusted mentions. What has changed is the finish line. Ranking on page one used to be the goal; now the goal is to be the business the assistant names in its answer.
No, and nobody honestly can. AI answers vary between assistants, between users and from one day to the next. What we can do is remove the reasons you are being left out - pages the assistant cannot read, missing or contradictory facts, no evidence that you do what you say - and measure the change over time.
It depends on how the assistant gets its information. When it searches the web live, improvements to your site can show up within days or weeks. What a model learned during training only changes when a new model is released, which can take many months.
Yes, but the questions differ. Consumers ask for recommendations ("a quiet hotel near the old town with parking"). Business buyers ask for shortlists and comparisons ("which booking engines integrate with our PMS"). We research the questions your buyers actually ask and build for those.
A proposed convention: a plain-text file at the root of your site that summarises who you are and points AI systems to your most important pages. It is quick to add, so we include it, but it is not yet an official standard and assistants are not obliged to read it. It is one small piece, not the strategy.
Every booking engine, store and app we build is server-rendered and structured for machines as well as people. This site is too: plain HTML pages, schema.org data and an llms.txt file.
Tell us what you sell and who you sell to. We will show you what the assistants answer today and what it would take to change it.
Get an AI Visibility Audit