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Busa Agent Shelf

ecommerce
v0.1.0

Agent shelf desk for e-commerce sellers: track whether AI shopping agents (ChatGPT, Gemini, Meta Muse, Amazon Rufus, Perplexity) recommend your products for the questions buyers ask, who they pick instead and why, and a review queue of sourced listing fixes. The AirApp only records a person's decision on a fix; it never contacts a shopping agent or edits a store.

  • ecommerce
  • risk:gated-write
  • industry:ecommerce
  • surface:busabase

Browsing is public. Installing requires signing in and choosing a workspace.

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What you can ask an agent, once it is installed

  • “Run this week's check: ask each buyer question in ChatGPT, Gemini and Meta Muse and record where we rank.”
  • “Which high-priority buyer questions are we missing from, and who gets recommended instead?”
  • “Turn this week's gaps into listing fixes with a source for every new value.”

The agent can answer these because the template installs its author's manual alongside its Bases. It does not have to guess your schema.

What installing this creates

Bases
5
Apps
1
Sample rows
57
Files
22
Agent manual
included

Bases, fields, and sample rows are created straight away. App code and the agent manual are proposed as change requests for you to review first.

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