Free graded audit ยท No signup
Will AI recommend your store?
AI assistants are starting to influence where people shop. If they can't read your products, they may recommend a competitor's products instead.
Agent Ready poses buyer questions about your store to AI models, scans your site the way assistants see it, grades it 0 to 100, and tells you exactly what to fix.
How it works
- Enter your store URLPaste any public http or https store address into the form above.
- We scan it like a shopping agentWe check your product markup, crawler access rules, policies, checkout signals, and technical basics.
- Get a score and fixesYou get a 0 to 100 score plus a prioritized list of issues with copy-paste guidance.
What your score means
- 85 to 100: Excellent. Agents can find and buy your products.
- 70 to 84: Good. A few fixes would help agents a lot.
- 50 to 69: Fair. Agents will struggle with parts of your store.
- 30 to 49: Poor. Major gaps block discovery or checkout.
- 0 to 29: Not ready. Agents cannot reliably shop your store yet.
What we check
Product schema (30%)
JSON-LD (structured product data embedded in pages that agents read) Product markup plus Open Graph product tags on your pages: name, price, availability, shipping, returns, reviews.
Bot accessibility (20%)
Whether robots.txt (a small file that tells crawlers which pages they may visit) and bot filters let AI crawlers like GPTBot, Claude-Bot, and PerplexityBot through.
Policies (10%)
Shipping, refund, and privacy pages that agents need before they recommend a purchase.
Transactability (10%)
Your product feed plus clear cart, checkout, and payment signals, including a discoverable path to purchase. The UCP manifest check is informational only.
Basics (15%)
HTTPS, a sitemap agents can use to discover products, and a mobile viewport meta tag. The llms.txt and JavaScript rendering checks are informational only.
Reviews and authority (15%)
Review signals, brand authority pages, and product description quality. These signals predict whether assistants mention your store; strong reviews and brand evidence help more than markup alone.
Live model questions
Each audit poses buyer questions built from your catalog to an AI model, such as "Where should I buy this product online?" Free audits ask 3 questions, paid audits ask 8. Results are cached per store for a day to keep costs down. The report shows, per question, whether your store was mentioned, recommended, or absent, and which competitor was named instead.
Methodology note
The weights above reflect what we can measure today, not a proven link to recommendation likelihood. Markup and crawler access are prerequisites; reviews and brand mentions appear to drive most AI citations. We will recalibrate the weights once we have enough prompt test data. Until then, treat the score as a readiness checklist, not a visibility guarantee.
Who uses Agent Ready
No customer stories yet. If this tool helped your store, email support@agentreadycheckup.com and we will feature your story here with your store name.
Frequently asked questions
Which AI agents is this relevant to?
AI shopping assistants such as Meta Muse, ChatGPT, and Perplexity, and the crawlers they use to read stores (for example GPTBot, ClaudeBot, and PerplexityBot). Assistant features change quickly; these checks target the product markup, crawler access, policies, and checkout signals that shopping assistants need to recommend a store.
Is the audit free?
Yes. Audits are free and you can re-run them about once a week per site (fair use rate limits apply). For signed-out visitors the limit is approximate, keyed to your network address. Pro members can re-run any time within fair-use limits.
Do you store my URL or results?
Anonymous audit results stay in a short-lived in-memory cache for 10 minutes. If you sign in, we also store your monitored sites, audit history, and re-audit records. We only keep your email and URL for score-change notifications if you ask for them, stored on our server.
How long does an audit take?
Every audit is capped at 55 seconds so a slow page cannot hang the report.
What should I fix first?
Start with High severity issues: robots.txt blocks against AI crawlers, missing HTTPS, and missing product schema. Those decide whether agents can see and trust your products.
What is Meta Muse?
Meta describes Muse as an AI shopping assistant that browses stores and hands shoppers off to hosted checkouts. Agent Ready checks the product markup, crawler access, policies, and checkout signals that assistants like Muse rely on.
Pricing
Free audits ask 3 buyer questions; paid audits ask 8.
Pro
$49/mo
- High-volume audits (fair-use limits apply)
- 8 buyer questions per audit
- Competitor comparison
- Audit history
- Monitoring snapshots with change alerts
- Up to 3 sites
Free vs paid
- Free: 3 product pages, 3 buyer questions, severity-ordered issue list.
- Single audit | $79 one-time: up to 8 product pages, 8 buyer questions, executive summary, prioritized action plan, copy-paste fixes, competitor comparison.
Free tells you something is wrong. Paid tells you exactly what to do, in what order, with the code to do it.
Single audit
$79 one-time
One full audit: up to 8 product pages, 8 buyer questions, executive summary, prioritized action plan, copy-paste fixes, and competitor comparison. No subscription.
Prices in USD. Cancel anytime from billing management on your account page; cancellation takes effect at the end of the billing period. Terms of Service.