Shelf simulates the buyer-intent questions shoppers ask ChatGPT and AI search, finds out why competitors get named instead of you, and ships the fix as a real pull request.
Drop your store domain — results land in your Telegram in minutes.
Results are AI-simulated proxies, labeled as such. We only publish to repos you've allowlisted.
projected drop in traditional search-engine volume by 2026 as shoppers turn to AI assistants.
Source: Gartner, 2024
year-over-year growth in retail-site traffic coming from generative-AI sources.
Source: Adobe Analytics, 2025
AI doesn't return ten blue links — it names a short list. If you're not on it, you're invisible.
The new zero-click reality
Four autonomous specialists, one traced pipeline. You just paste a URL.
We read your product pages — read-only — and map what AI can and can't see.
We run the real buyer prompts through AI search and record who gets recommended.
A deterministic diff vs. the winners: structured data, per-unit price, reviews, specs, delivery.
We write the JSON-LD, meta and FAQ copy and open a pull request on your repo.
Not another dashboard of metrics — a fix that changes what the AI says.
"Why does AI pick them, not me?" — with evidence from actual simulated buyer prompts.
Every recommendation is backed by a stability-gated result — counted only if it repeats across runs.
Structured data, titles, FAQ and schema — delivered as a ready-to-merge pull request.
Read-only crawling. We only write to surfaces you've explicitly allowlisted. Never touches your prices.
Every model and tool call is logged — agent, cost, latency, status. If it isn't traced, it didn't happen.
Results land in Telegram with links and a short voice summary. No jargon, no 40-page PDF.
Free, instant, and read-only. It takes one field.
Run my free audit →