The whole loop,
from chat to proof.
Talgeo is organized like your store, not like an analytics tool: shelves, products, questions, fixes — and the receipts for all of it.
Product health at a glance
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.
Glow Serum12%71%6/959 you ✓✓
Cotton Sweatshirt9%53%9/941 you ✓✓
Soy Candle7%43%4/927✗The questions, out in the open
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.
Answers your shoppers already asked for
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.
Where the engines read — and how to get there
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.
The crawl-level door, kept open
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.
Before / after, on record
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.
See it on your own catalog.
The demo runs on your products, your categories, your rivals — not a slide deck.
Book a demo Connect your store