Talgeo records the conversations AI assistants have about your category, shows exactly where your products win or vanish, fixes the gaps from your own product facts — and re-tests until the answer flips. Receipts, not scores.
Measuring AI visibility is table stakes. Talgeo is the loop that follows: every losing answer becomes a fix you approve in one click, and every fix gets re-tested until the engines change their mind.
We ask the engines the questions your shoppers ask — blind, category-level — and store the full conversations. Visibility is a count you can audit, not an index.
Unanswered shopper questions, missing product facts, technical blockers, uncited channels — each arrives as a ready draft built from your catalog. You approve; Talgeo publishes.
After every fix, the same question is asked again. Before and after sit side by side, so the lift is a fact you can show, not a promise you have to sell.
Everything a store needs to be visible — and chosen — inside AI answers, organized the way a merchant thinks.
One row per product: visibility, win rate, Q&A coverage, citations, and whether ChatGPT knows it cold.
The questions shoppers ask, each with a prefilled answer from your product facts. Approve, publish, done.
The exact sites the engines read while answering — and where earning one mention changes the answer.
Your tracked question set — generated from your catalog, extendable with the queries you care about.
Real reviewers, subreddits and editors for your categories, each with a ready-to-send honest pitch.
The crawl-level blockers that keep engines out of your store — found, explained, and fixed with you.
Most tools hand you an index — “your AI visibility is 91” — and ask you to trust it. Talgeo never shows a number it can't open: every metric is a count over a denominator, and every count clicks through to the conversations behind it.
A 15-minute walkthrough on your own catalog — see the chats, the gaps, and the first three fixes.
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