Talgeo is organized like your store, not like an analytics tool: shelves, products, questions, fixes — and the receipts for all of it.
One table answers the daily question — “is every product OK everywhere AI looks?” Visibility with deltas, win rate, Q&A coverage colored by urgency, citations with a “you” badge when your own site is among them, and whether ChatGPT knows the product cold.
Your visibility denominator is a list you can read: category-blind shopping questions generated from your catalog, plus any prompt you add. Run a check anytime — every answer is stored whole.
Every product carries the questions AI shoppers ask about it. The gaps come with prefilled answers drawn from your own product facts — where only you know the truth, the draft asks you. Approve & publish, or stage to the queue.
Every chat lists its sources. Talgeo classifies them — your site, UGC, editorial, competitors — and turns the gaps into outreach: real reviewers, subreddits and editors for your categories, each with an honest pitch drafted and ready.
AI engines can only recommend what they can read. Talgeo audits the machine-facing store — feeds, structured data, llms.txt, the agent door (UCP) — and walks you through each fix, then re-checks it.
Every published fix triggers a re-test of the exact question that failed. The before/after pair — with full transcripts — is the report your Monday morning wants, and the one your accountant believes.
The demo runs on your products, your categories, your rivals — not a slide deck.
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