Example AI search audit
What eLLMo AI Search finds on
Bala in an AI search audit.
Bala. A category-defining wearable-weight brand that appears for style searches but not for the use-case questions buyers actually ask.
bala.com
In the source audit, Bala scored 5.4 out of 10, with about 33 percent unbranded commercial-query visibility despite near-complete branded visibility. It wins style and design searches but misses Pilates, FSA eligibility, yoga, barre, and rehabilitation queries almost entirely.
Structured data
What an AI engine can confirm about this page without guessing.
Server-rendered Shopify, UCP, agents.md, and robots.txt foundation is strong
In the source audit, basic crawl access and review data are already solid, so the gap is not access.
No catalog-level Product or AggregateRating coverage
Individual product and rating data is not consistently structured across the catalog.
No structured FSA and HSA eligibility claims
This eligibility is a real purchase driver that is not currently machine-readable.
Verify it yourself
A live, unauthenticated fetch of bala.com, checked against the schema types an AI engine looks for first.
Live JSON-LD check
bala.com
- Missing
Organization
- Missing
WebSite
- Missing
Product / Offer
- Missing
AggregateRating / Review
- Missing
FAQPage
- Missing
BreadcrumbList
A direct fetch of bala.com found no ld+json script tags. Only 38 KB of HTML returned at the root, a thin document likely also rendered client-side.
Can an AI crawler read this page
What the page body actually says, not what it implies with an image.
No use-case collection semantics for Pilates, yoga, or rehab
In the source audit, these are the specific query clusters Bala misses almost entirely, despite being answer-ready material.
Shark Tank, press, and collaboration evidence is not readable
This authority evidence exists but is not structured in a way an engine can confirm and cite.
Fix these
Ranked by how much each one changes whether an AI engine can cite this page.
Add use-case collection semantics for Pilates, yoga, barre, walking, and rehab
In the source audit, these are the highest-value missing query clusters, each needing product form, comfort evidence, and eligibility qualifiers.
Add structured FSA and HSA eligibility data
This directly answers one of the three questions the source audit says a wearable-weight page must resolve: can I use FSA or HSA funds.
Add review-derived FAQ and Organization schema
This connects existing review volume and brand authority into a citable, structured form.
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.
Scored visibility report
A branded and unbranded visibility score across ChatGPT, Claude, Gemini, and Perplexity, with the exact questions tested.
Ranked schema fixes
Structured data gaps ranked by how many buyer questions they unblock. Each one traces to a specific page element.
Readable page copy
Plain-text specs and answers an AI engine can quote directly. Paste into your product page or CMS.
Questions & answers
Common questions about this audit
This is a summary independent analysis by eLLMo AI, built from public data and our synthetic digital twins.
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