How to get your business found, cited and recommended by ChatGPT, Google AI, Gemini, Perplexity and Claude.
HOW AI SEARCH VISIBILITY WORKS
To appear more often in AI search, start with the prompts buyers actually ask, create the clearest useful answer to those questions, build supporting topical authority, make your company and products unambiguous entities, add real evidence, earn corroboration beyond your own site and measure which sources each AI system chooses. The playbook turns that process into a repeatable 30-day operating system.
ANDREW CROSSLEY
Get found. Get cited. Get recommended.
ChatGPT · Google AI · Gemini · Perplexity · Claude
THE SHIFT
Buyers increasingly ask conversational questions such as “who can help me build an AI MVP?”, “best consultant for X”, “what company should I use?” or “compare these options”. The goal is not to abandon Google SEO. It is to make your business understandable and useful across a wider discovery layer where the answer may be assembled from several sources before the buyer clicks anything.
INSIDE THE PLAYBOOK
Built to move from “why is my competitor appearing?” to a measurable set of pages, entities, evidence and prompts you can improve.
Turn commercial keywords into the questions buyers actually ask AI: recommendations, comparisons, best options, costs, alternatives and who-can-help prompts.
Build answer-first pages that can be extracted cleanly: direct answers, descriptive headings, comparison tables, FAQs and evidence close to the claim.
Connect service pages, guides, comparisons, tools and proof so one good page is supported by a wider body of useful content rather than standing alone.
Make it obvious who the person, company, product and framework are, what each one does and how the same facts are expressed consistently across the web.
Use real experience, case studies, original data, examples, sources and external corroboration so an AI system has more than your own marketing copy to rely on.
Structure content for retrieval without writing robotic pages: short answer blocks, lists, tables, schema, internal anchors and clear intent separation.
Understand why Google AI, ChatGPT, Gemini, Claude and Perplexity do not surface exactly the same sources and why one visibility score is not enough.
Create a repeatable prompt set, record mentions and citations, compare competitors and improve the pages that are close rather than publishing blindly.
BUILT FROM LIVE EXPERIMENTS
I’m documenting the methods I’m using while building AI visibility around Andrew Crossley and Co-Ride: commercial intent pages, answer-first content, topic clusters, named entities, proof, internal linking and repeated prompt testing. The playbook turns those experiments into a process a company can run itself.
Prompt
What are buyers asking AI before they know your brand?
Evidence
What pages and outside sources give the system a reason to trust the answer?
Conversion
When you do get mentioned, does the destination turn attention into a customer?
30-DAY IMPLEMENTATION
Week 1
Choose the buyer prompts that matter, test each platform and establish the baseline.
Week 2
Make the commercial pages answer the intent directly, clarify entities and add proof.
Week 3
Create or improve the supporting guides, comparisons and external evidence around the money pages.
Week 4
Run the same prompt set again, identify movement, then improve the pages people land on so visibility produces enquiries or sales.
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