How AI decides who to recommend — and what high-trust experts can do about it. Research-backed, no recycled training data. Written by Jax Baker.
ChatGPT recommends like a cautious editor: verifiable, corroborated, consistently described. How the audition works, and how to watch it run on yours.
By Jax Baker · Read the article →Wix's schema limits, JavaScript rendering gaps, and code bloat prevent AI engines like ChatGPT and Perplexity from recommending your business. Learn why entity optimisation needs platform-level control.
Being AI-chosen means buyers research and shortlist you inside an AI conversation before they contact you. Here is how the funnel flipped, and what it rewards.
AI ignores your brand because it has nothing verifiable to mention. Here is why the mention has decoupled from the ranking, and what actually forces an AI engine to name you.
GEO is making your expertise verifiable enough that AI engines name you. Here is what GEO actually is, and why we build world-building and reputation management on top of it.
AI won't replace high-trust professionals. It refers clients to them. Why the moat holds, why AI cites humans, and how to be visible to the referral desk.
Unnamed methods, unwritten frameworks, war stories told out loud: why AI can't recommend undocumented expertise, and how the Genius Interview fixes it.
Your next client interviews you through an AI assistant before you know they exist. What Researched Buyers ask, and how your record attends the meeting.
AI assistants build your buyers' shortlists before any contact happens. Being left off produces no signal at all. Who you lose first, and how to find out.
ChatGPT, Gemini, Perplexity, Claude, and Grok disagree about your business. Why one answer is a data point, not a verdict, and how to read the spread.
Podcasts, videos, gated PDFs: why documented expertise still reads as silence to AI engines, with 2026 citation data, and the 3-step way out.
Your site is invisible to AI for one of three reasons. A free ten-minute test: three buyer questions, three engines, nine answers, and the fix each needs.
AI absorbs generic content without credit and cites what adds to the record. Net New Intelligence, the one-question test, and how a small firm produces it.
Staying out of AI doesn't keep AI quiet about you. It hands the answer to leftovers: old listings, stray reviews, competitors' words. Authorship fixes it.
AI increasingly answers 'who should I hire?' with a shortlist, not links. The four rungs into the Recommendation Layer, and where most firms stall.
AI assistants credit named, verifiable sources. Why unclaimed expertise goes uncited, what claiming means in practice, and how to do it without bragging.
AI often describes the business you were, not the business you are. The Training Data Echo, a five-minute test to hear yours, and what updates the record.
Your website is what you say. Your entity is what AI can verify. The four signals machines check before recommending you, and how fractured entities fail.
AI visibility is whether AI assistants mention, describe, and recommend your business. It moves independently of rankings. Check yours free in ten minutes.
The 109-point diagnostic applies all of this to your business. Free, about an hour to present, no obligation.
See where you stand →