Automated bid rules and dayparting while you sleep, with the audit trail behind every change.
Visit ShelfKnow what's working. And why.
We create technology solutions for high-performing retail media & ecommerce teams.
Our solutions
Tracks brand recommendations across ChatGPT, Perplexity and Gemini, with prompt-level citations.
Visit ProofFrom one brand to two hundred
The same software either way. What changes is how it's priced and how far it rolls up.
Flat pricing, nothing gated
No per-engine credit system and no minimum spend, so a small prompt set costs what it says it costs. The features that matter aren't held back for enterprise tiers.
Down to the individual listing
Share of voice and ad performance roll up per SKU, not just per brand. Once you have hundreds of listings, a brand-level average hides the problem rather than showing it.
Numbers that survive a client review
Multiple brands side by side, and every figure exports with its sample size, source and run history intact, so the answer to 'how do you know' is already attached.
Questions people ask
What is Anteo?
Do I need both products?
No. They're sold separately, priced separately, and neither depends on the other. Most teams start with whichever surface is costing them more right now.
What makes this different from the other tools?
Every number can be traced back to what produced it: the query, the timestamp, the raw response. Most dashboards give you a score with the working hidden. Ours is built the other way round.
How do we start?
Email hello@anteoplatform.com and tell us which surface is the problem. We'll run your own data through the relevant product and walk you through what came back.