Most brands have no idea how their products look to AI shoppers. The ChatGPT, Perplexity, and Claude searches that increasingly decide what buyers see — Lumio just looked at this one the way those agents do, and scored how ready it is.

AI Readiness report

Example-walled

Widget

example-walled.com/products/widget
Far behind

Lumio couldn't reach this page directly — the site's bot protection blocked the request. That same protection blocks AI shopping agents, which is itself a finding.

Scored by Lumio's AI-readiness algorithm · v2.2

Lumio couldn't read this page. example-walled.com sits behind bot protection that blocks automated readers, so there's no score to show. That matters more than it looks: ChatGPT, Perplexity, and Claude read product pages much the way Lumio does — the same wall likely keeps your products out of their answers too. Talk to Lumio about opening the door to AI shoppers.

The 16 dimensions

The full scorecard. Lumio measures structured-data and crawlability signals deterministically, then grades content quality with an AI pass. Expand any dimension to see what it measures and how to improve it.

Structured data & crawlability

  • AI crawler visibility Skipped

    Whether your product's structured data is in the page's initial HTML or only appears after JavaScript runs. ChatGPT, Claude, and Perplexity read the initial HTML — anything that needs JavaScript is invisible to them.

  • Structured data validity Skipped

    Whether your structured data is valid: it parses cleanly, required fields are present, values are the right type, and nothing contradicts the visible page.

  • Structured data completeness Skipped

    How complete your structured data is beyond the basics — product ID (GTIN), manufacturer part number (MPN), ratings, price validity, and return and shipping policy.

  • Site-wide structured data Skipped

    Structured data across the rest of the site, not just the product page — your organization details, site search, breadcrumbs, and FAQ markup.

  • Content visible after load Skipped

    How much real product text remains once JavaScript has run. Copy hidden inside tabs or accordions can be invisible to AI agents.

  • Page and data agree Skipped

    Whether the page a shopper sees and your structured data agree on price, availability, brand, and title. Mismatches read as a trust problem to an agent.

  • Image readiness Skipped

    How usable your product images are to AI: enough images, descriptive alt text, image structured data, and responsive sizes. Agents increasingly read images, not just text.

  • Freshness Informational

    Signals about how recently the page was updated. Informational for now (not scored) until a reliable signal lands.

  • Internal linking Skipped

    Whether the product page links out to its category, related products, and brand pages — the trail an agent follows to understand your catalog.

  • llms.txt file Skipped

    Whether the site publishes an llms.txt file — an emerging convention for pointing AI agents to your key pages. Low weight while adoption is early.

  • agents.md file Informational

    Whether the site publishes an /agents.md file — an emerging convention, alongside llms.txt, for pointing AI agents to a site's real agent endpoint. Informational for now while the standard is nascent.

  • MCP endpoint Informational

    Whether the storefront exposes a reachable Model Context Protocol (MCP) endpoint — the emerging way for AI agents to query a catalog and act on it directly. Informational for now while the standard is nascent.

Content quality (AI-graded)

  • Title quality Skipped

    Whether product titles are structured and descriptive — brand, product type, a key attribute, and the variant — rather than a bare product name.

  • Description depth Skipped

    Whether descriptions are rich with real attributes and answer the questions a shopper actually asks, rather than marketing fluff.

  • Q&A and use-case content Skipped

    Whether the page has the question-and-answer pairs, usage scenarios, and compatibility notes an AI agent can quote back to a shopper.

  • Product identifiers Skipped

    Whether the core product identifiers — GTIN, MPN, brand, and model number — are present and actually valid.

  • Availability detail Skipped

    Whether availability is specific — exact stock, handling time, and restock dates — rather than a bare in-stock / out-of-stock flag.

Fix it with Lumio

Lumio just analyzed one of your products.
Now let it analyze and fix your entire catalog.

Every gap above becomes an automatic fix — richer structured data, sharper titles and descriptions, complete identifiers — across all your products. Then Lumio keeps watching, so you stay ahead as AI shopping shifts.

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