AGENT SKILLBY RETIEEDRA-PROFOUND
AI commerce readiness auditor
AT A GLANCE
AI commerce readiness auditor is a general marketing agent skill from retieedra-profound. Determines whether AI shopping surfaces are relevant to a product category and audits the product data, merchant information, pricing, availability, offers, and evidence needed for. It is published in the retieedra-profound/skills-marketing-library GitHub repository under the MIT license. Install it with: npx skills add retieedra-profound/skills-marketing-library --skill ai-commerce-readiness-auditor
- REPO STARS
- NOT AVAILABLE
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 2.9 KB72 LINES
QUICK ANSWER
- WHAT IT IS01
- Determines whether AI shopping surfaces are relevant to a product category and audits the product data, merchant information, pricing, availability, offers, and evidence needed for reliable inclusion. It brings Profound's specific operating context into paid media, so the agent is guided by a sharper source than a generic prompt.
- INPUTS02
- Context for paid media: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for paid media: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add retieedra-profound/skills-marketing-library --skill ai-commerce-readiness-auditorREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
FRONTMATTER
- name
- ai-commerce-readiness-auditor
- description
- Determines whether AI shopping surfaces are relevant to a product category and audits the product data, merchant information, pricing, availability, offers, and evidence needed for reliable inclusion. Use for ChatGPT Shopping or other agentic-commerce readiness work.
ON THIS PAGE · 5
AI Commerce Readiness Auditor#
Research basis#
This skill operationalizes Profound's research, We reverse-engineered ChatGPT's Shopping trigger (opens in a new tab), published March 17, 2026.
Key takeaways from the study:
- Product category was a stronger Shopping trigger than purchase-intent wording.
- Physical consumer products activated Shopping far more often than software, services, travel, or financial products.
- Commercial intent amplified activation within eligible product categories but was not sufficient by itself.
- Product constraints helped only after the category was plausibly eligible.
The study reports historical observational behavior, not an official OpenAI specification. Verify current merchant and feed requirements using official platform documentation.
Goal#
Decide whether an AI commerce surface deserves investment, then find the data and content gaps that could prevent accurate product inclusion or merchant routing.
Eligibility gate#
Before auditing details, classify the offering:
- shippable consumer product
- consumable or grocery
- large equipment or vehicle
- software or digital product
- service
- travel or hospitality
- financial or telecom product
- local-only offering
If the surface rarely activates for the category, state that clearly and redirect effort to ordinary AI recommendations or another commerce surface.
Workflow#
- Define target product categories, markets, engines, and commercial prompt families.
- Test whether the shopping surface activates using repeated representative prompts.
- Separate three outcomes:
- product inclusion
- headline merchant or offer
- all available merchants or offers
- Audit product data:
- canonical title and description
- brand and identifiers
- category and attributes
- variants, size, color, and compatibility
- images
- price, currency, sale status, and availability
- shipping, returns, and merchant policies
- reviews and current evidence
- Compare feeds, product pages, structured data, merchant records, and marketplaces for conflicts.
- Check freshness and update latency.
- Identify recommendation gaps across use cases, constraints, comparisons, and "best for" framing.
- Prioritize data correctness before editorial optimization.
- Retest over multiple runs because cards and merchant offers can vary.
Never fabricate reviews, ratings, availability, discounts, or product claims.
Output#
Return:
- Surface-fit decision: invest, test narrowly, or deprioritize.
- Activation evidence by prompt family.
- Product-data readiness scorecard.
- Conflict ledger across feeds, pages, and merchants.
- Priority fixes with source system, owner, and freshness requirement.
- Recommendation-content opportunities supported by real product evidence.
- Measurement plan for inclusion consistency, headline-offer share, all-offer share, and downstream outcomes.
FAQ
07 QUESTIONS
01What is the AI commerce readiness auditor agent skill?
Determines whether AI shopping surfaces are relevant to a product category and audits the product data, merchant information, pricing, availability, offers, and evidence needed for reliable inclusion. It is listed under general marketing in the 100xLab agent skills directory.
02How do I install AI commerce readiness auditor in Cursor, Claude Code, or Codex?
Run npx skills add retieedra-profound/skills-marketing-library --skill ai-commerce-readiness-auditor in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only AI commerce readiness auditor, not every skill in the repository.
03What does the AI commerce readiness auditor SKILL.md cover?
The SKILL.md includes sections on Research basis, Goal, Eligibility gate, Workflow and Output. Read the full text on this page or in plain markdown at /resources/agent-skills/retieedra-profound-skills-marketing-library--ai-commerce-readiness-auditor--1dv4xmg/raw.
04Which agents can use AI commerce readiness auditor?
AI commerce readiness auditor installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is AI commerce readiness auditor under?
The retieedra-profound/skills-marketing-library repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is AI commerce readiness auditor free to use?
Reading, copying and installing AI commerce readiness auditor costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of AI commerce readiness auditor?
AI commerce readiness auditor comes from https://github.com/retieedra-profound/skills-marketing-library. The SKILL.md is at https://github.com/retieedra-profound/skills-marketing-library/blob/HEAD/profound/ai-commerce-readiness-auditor/SKILL.md. The author is retieedra-profound.
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ATTRIBUTION
AI commerce readiness auditor was written by its original authors and is published in retieedra-profound/skills-marketing-library (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.