Research, case studies and practical fixes on AI recommendation visibility (AEO), written for golf clubs and local service businesses, not generic marketing teams.
A real test run found one resort's green fee quoted as both £60 and £80 across different sources. Here's why that costs AI recommendations.
Read the post →A single AI Overview check tells you today's answer. Tracking it over weeks tells you why, and what to fix first.
Read the post →A golf club's corporate day and wedding pages need Event and MeetingRoom schema, not just golf course markup. Here's what to include.
Read the post →More people are asking ChatGPT and Gemini to find them an optician instead of searching Google. Here's what determines whether a practice gets named.
Read the post →Learner drivers are starting to ask ChatGPT and Gemini to find them an instructor. Here's what determines whether one gets named.
Read the post →Across every AI Recommendation Score test run so far, the same five gaps keep showing up in businesses that have never spoken to each other. Here they are.
Read the post →Pet owners are starting to ask ChatGPT and Gemini to find them a vet, often in an urgent moment. Here's what determines whether a practice gets named.
Read the post →Hotel and accommodation schema needs different fields to a general LocalBusiness block. Here's exactly what to include for golf resorts and small hotels.
Read the post →A step by step walkthrough for checking whether your business appears in Google AI Overviews, what to record, and how to read what you find.
Read the post →A vague membership page loses to AI assistants every time. Here's exactly what a golf club membership FAQ needs to include to actually get recommended.
Read the post →St Mellion's golf wins on almost every AI platform tested. Its four star hotel loses on two of them. Here's what that reveals about category specific AI recommendations.
Read the post →People are starting to ask ChatGPT and Gemini where to buy something instead of searching Google. Here's what determines whether an independent shop gets named.
Read the post →More people are asking AI to recommend a solicitor or accountant instead of searching Google. Here's what determines whether a firm gets named.
Read the post →Your llms.txt file and your FAQ page should be built from the same source material. Here's a practical, one sitting workflow for writing both together.
Read the post →What does a Grade C AI Recommendation Score actually look like, category by category. A walkthrough of a real test run, not a hypothetical example.
Read the post →A club can rank well on visitor prompts and still be invisible the moment someone asks AI about joining. Here's why membership is a separate visibility problem.
Read the post →More people are asking ChatGPT and Gemini to find them a salon or spa instead of scrolling Instagram. Here's what determines whether yours gets named.
Read the post →Most AEO advice focuses on ChatGPT, Gemini, Claude and Perplexity and skips Google AI Overviews entirely. Here's how the fifth platform actually works.
Read the post →Small mismatches in your name, address and phone number across directories quietly undermine AI trust. Here's why NAP consistency matters more than it looks.
Read the post →A quick logged in check with one AI tool can give a misleading answer. Here's the testing protocol behind the AI Recommendation Score, and why it exists.
Read the post →A plain English walkthrough of the five weighted categories behind the score, and why it's deliberately tilted toward what AI actually does today.
Read the post →A well written FAQ page is one of the highest leverage things you can do for AI recommendation visibility. Here's how to structure and phrase one properly.
Read the post →Broken schema markup is more common than missing schema, and it actively misleads AI systems. Here are the errors we see most often, and how to fix each one.
Read the post →Diners are starting to ask ChatGPT and Gemini where to eat instead of scrolling a map app. Here's what determines whether your restaurant or bar gets named.
Read the post →Travellers are starting to ask ChatGPT and Gemini to pick a hotel for them, not just list options. Here's what determines whether yours gets named.
Read the post →Golf venues that win on generic AI searches often disappear the moment a prompt turns corporate. Here's why, and how to close the gap.
Read the post →Drivers are starting to ask ChatGPT and Gemini for a trustworthy garage instead of searching Google. Here's what determines whether yours gets named.
Read the post →A logged in ChatGPT account can quietly change which businesses get recommended. We tested it directly, and the bias ran the opposite way we expected.
Read the post →llms.txt tells AI models what your business actually is. Almost nobody has one yet. Here's exactly what to put in it and where.
Read the post →A slow mobile site doesn't just cost you visitors. It can quietly cost you AI recommendation visibility too. Here's the real link between the two.
Read the post →Most golf club websites either skip schema markup entirely or publish it with the wrong details inside. Here's exactly what to include and why it matters.
Read the post →Patients are starting to ask ChatGPT and Gemini for a dentist instead of searching Google. Here's what determines whether your practice gets named.
Read the post →More people are asking AI to find them a gym or a personal trainer instead of scrolling Google Maps. Here's what determines who gets named.
Read the post →Three of four golf operators we tested were absent or ranked last on Perplexity while performing normally elsewhere. Here's why, and what to do about it.
Read the post →Strong reviews and strong AI recommendation visibility often move together, but they're not the same thing. Here's how each is actually measured.
Read the post →SEO gets you found on Google. AEO gets you named by ChatGPT, Gemini, Claude and Perplexity. Here's the difference, and why the second one is currently wide open.
Read the post →We ran the same buyer prompts across four AI assistants against a real UK golf resort. The result depended entirely on which AI the prospect happened to open.
Read the post →Four UK multisite golf operators, tested with the same prompts. Some ranked first. One never appeared at all. Here's what separated them.
Read the post →Plumbers, dentists, gyms, garages. The buying question has moved from a Google search box to a chat window. Here's what determines who gets named.
Read the post →AI models can't call you and can't visit in person. They work entirely from what's crawlable. These five signals do most of the work.
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