The AI Answer Demo — Illustrative simulation
Ask a real buying question and watch ChatGPT, Gemini, and Perplexity answer. They don't hand back ten links — they name two or three businesses and leave the rest out. Toggle Before and After Strategi to see the difference.
Interactive
A real buying question, the kind of answer AI actually returns, and a Before / After Strategi toggle. Every brand shown is fictional and illustrative.
Pick a buying question
Your business is absent from all three answers.
You are not in this answer
You are not in this answer
You are not in this answer
Illustrative simulation — not live AI output. Brand names are fictional and used as an example only.
The mechanic
You used to type a query and choose from ten links. Now AI returns one answer — a name, or a curated few. The question is no longer “do we rank?” but “are we in the answer?” Three signals decide inclusion.
i.
AI models entities, not keywords — one canonical name and one clear category, or the model leaves you out.
ii.
Schema, semantic HTML, and clean hierarchy decide how much a model can extract; beautiful to a human can be invisible to AI.
iii.
Your claim counts only when the third-party sources AI trusts corroborate it — consistent mentions move share, not on-page tricks.
This is how Strategi measures and engineers AI visibility. See the measurement layer →
“SEO put you on a list. AI puts one business in the answer. The first business AI learns to trust in your category wins.”
Q & A
No. The AI Answer Demo is an illustrative simulation, not live AI output. The questions are real buying questions, but the answers are hand-written to show how AI engines behave: they synthesize one recommendation or a curated set of two or three names, rather than returning a list of links. Every brand shown is fictional and used only as an example. We built it this way so the mechanic is unmistakable: an answer either includes your business or it does not.
Because AI does not rank pages, it models entities and weighs trust. When you are absent from an AI answer, it is almost always one of three things: your business is not a clearly defined entity the model recognizes, your website is not structured for machines to extract and attribute your claims, or you lack the corroborated third-party signals AI cross-references before it recommends. A business that ranks well on Google can still be invisible to ChatGPT. The two systems measure completely different things.
Three signals decide inclusion: entity clarity (one canonical name, one clear category, unambiguous differentiators), structural readability (schema, semantic HTML, and architecture that lets a model extract and cite you), and authoritative corroboration (consistent, verifiable mentions across the third-party sources AI trusts). Strategi engineers all three. Every engagement begins with an AI Visibility Diagnostic that queries the major models with the questions your buyers actually ask, then maps the distance between where you are and consistent recommendation.
Yes. They draw on different training data, different live sources, and different ranking of signals, so the same buying question can surface different businesses on each. Perplexity leans heavily on citable web sources; ChatGPT and Gemini synthesize from a broader internal representation. That is exactly why AI visibility has to be engineered and measured across every engine, not optimized for one.
The measurement layer
Public leaderboard
Which businesses AI recommends first, ranked by category. The scoreboard for the recommendation economy.
LiveInteractive model
Estimate the AI-referral opportunity your business is leaving on the table while it stays out of the answer.
LiveStrategi is the advisory and measurement layer for AI discovery. Read the thesis →
Every engagement begins with an AI Visibility Diagnostic. We query the major AI platforms with the questions your buyers actually ask, and show you exactly what they return today. No pitch — a clear-eyed read on where you stand inside AI.
