Structured content and data specifically aimed at LLM training and retrieval patterns, built specifically for businesses in the US, UK, Australia and Canada who need this without local agency pricing.
"Can you recommend a good [your business type] in [your city]?" is a question people ask ChatGPT directly now, the same way they used to type it into Google. Whether your business gets named in that answer depends on factors most business owners have genuinely never thought about, because this entire category of visibility didn't exist a few years ago.
There's no dashboard showing you how often you're mentioned. No analytics tool most businesses already use. It's an entirely invisible layer of potential customer discovery happening right now, and most businesses have zero insight into whether they're winning or losing it.
Getting visible here starts with understanding how these systems actually retrieve and recall information about businesses, then structuring your content and data to align with that — not guesswork, but a specific, testable strategy.
Large language models draw on a mix of training data and, increasingly, live retrieval from structured web sources — meaning both your historical content and your current structured data influence whether you're likely to be recommended.
We run realistic customer queries through ChatGPT and similar tools to see whether and how your business currently appears.
Content and schema are structured specifically around how LLMs process and retrieve business information.
Business information is made consistent across your site, directories, and structured data, strengthening the signals AI systems rely on.
We periodically re-run the same queries to track whether your odds of being recommended are improving.
Structured content and data specifically aimed at LLM retrieval patterns
Regular testing of real AI-generated recommendations for your industry and city
A practical roadmap to improve your odds of being the recommended business
Consistency checks across your site and directory listings that reinforce AI trust
Coverage across ChatGPT, Perplexity, and other major conversational AI platforms
Clear reporting on what's testable and measurable in a genuinely new category of visibility
Illustrative example: an independent bookstore tests its visibility in ChatGPT recommendations for "indie bookstore in [city]" and finds it's not mentioned at all, while a competitor with clearer, more structured online information is. After strengthening structured business data and content clarity, follow-up testing shows the bookstore beginning to appear in similar queries.
No one can guarantee specific AI outputs — but we can meaningfully improve the structured signals that influence whether you're likely to be included.
We run representative queries across major AI platforms regularly and track whether and how your business appears.
Yes, the underlying structured-content approach benefits visibility across multiple AI platforms, not just one.
No — clear, specific, well-structured information about a smaller business can be more useful to an AI system than vague content from a bigger, less specific competitor.
This service focuses specifically on conversational AI chatbot recommendations; AEO is the broader discipline covering this plus other AI-driven answer formats like voice assistants and AI Overviews.
Free 15-minute audit — no pressure, just a clear picture of where you stand today.
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