Example AI search audit

What eLLMo AI Search finds on Benchmade in an AI search audit.

Benchmade Bugout. Real heritage and 873 reviews that an AI engine cannot verify or cite.

What the audit found

In the source audit, Benchmade scored about 3.2 out of 10, while wholesale partner BladeHQ was more answer-engine-readable. Product schema, warranty data, and readable reviews are missing, and a Cloudflare rule constrains crawler access.

The site

benchmade.com

Benchmade

Structured data checks
3
Structured data checks
Page readability checks
3
Page readability checks
Ranked things to fix
3
Ranked things to fix

Structured data

What an AI engine can confirm about this page without guessing.

  1. 01
    Missing

    No Product schema for Bugout specs

    In the source audit, blade length, weight, AXIS lock, S30V steel, geometry, handle, and US origin are not structured data an engine can confirm.

  2. 02
    Missing

    No WarrantyPromise schema for LifeSharp

    Free LifeSharp sharpening is a real, stated benefit with no structured warranty data attached to it.

  3. 03
    Missing

    No FAQPage schema

    The source audit recommends eight review-derived FAQs, none of which currently exist as structured data.

Verify it yourself

A live, unauthenticated fetch of benchmade.com, checked against the schema types an AI engine looks for first.

Live JSON-LD check

benchmade.com

200 OK
  • Organization

    Present
  • WebSite

    Present
  • Product / Offer

    Missing
  • AggregateRating / Review

    Missing
  • FAQPage

    Missing
  • BreadcrumbList

    Missing

A direct fetch of benchmade.com found 3 JSON-LD blocks: Organization, WebSite, and SiteNavigationElement.

Can an AI crawler read this page

What the page body says in text, not what it implies with an image.

  1. 01
    Weak

    Reviews are client-rendered

    873 product reviews exist, but in the source audit they render client-side, which makes them harder for an engine to read directly.

  2. 02
    Adds friction

    A Cloudflare rule constrains crawler access

    In the source audit, this rule limits GPTBot, PerplexityBot, and Claude-linked crawling specifically, independent of any content quality issue.

  3. 03
    Weak

    Support facts are fragmented across subdomains

    Warranty and service information exists, but it is split across separate subdomains rather than connected to the core product entity.

Fix these

Ranked by how much each one changes whether an AI engine can cite this page.

  1. 01
    Missing

    Add Product schema for Bugout, Griptilian, Crooked River, and Wildcoast

    In the source audit, this is scoped as a 30-day rollout applying the same coverage across the core catalog before re-running the same 16 queries across five engines.

  2. 02
    Missing

    Add WarrantyPromise schema for LifeSharp sharpening

    This turns a stated benefit into a structured, citable warranty fact.

  3. 03
    Adds friction

    Adjust crawler access rules

    The Cloudflare rule constraining GPTBot, PerplexityBot, and Claude-linked crawling needs review, since restricted access blocks citation regardless of content quality.

eLLMo AI ran this audit on the public benchmade.com site, the same way an AI engine reads it.

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What every AI search audit ships

A scored audit, structured data fixes, and copy you can ship today.

Every audit ships a scored report, ranked schema fixes, and page copy designed to land in your engineering ticket and your content brief.

Starting point

Scored visibility report

A branded and unbranded visibility score across ChatGPT, Claude, Gemini, and Perplexity, with the exact questions tested.

Ship to engineering

Ranked schema fixes

Structured data gaps ranked by how many buyer questions they answer. Each one traces to a specific page element.

Ship to content team

Readable page copy

Plain-text specs and answers an AI engine can quote directly. Paste into your product page or CMS.

Questions and answers

Common questions about this audit

See how AI engines read your brand.

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