AI Search Visibility

See your storefront the way AI search sees it.

The audit checks your Shopify store's product titles, collection pages, and structured content for ChatGPT visibility.

We do not sell content, backlinks, or ongoing optimization retainers. We run the measurement layer: an independent audit of whether AI assistants cite your store, and a monthly re-run that grades whether anything you pay for moved the score.

Email my free score

The same audit logic runs across catalog structure and metadata for each store checked.

Scores are measured against 149 real stores.

One composite score
A short list of next moves by email
No card required

How it works

Readability score

One number grades how legible your store's product content is to AI search systems.

Highest-impact gaps

The free check lists the most urgent fixes first, in plain language.

Specific corrections

Each checklist item names the product, page, or metadata field to change.

What 149 measured stores show

149

stores measured with this same audit

66.7/100

median visibility score across all of them

47 of 149

have no machine-readable product data (schema.org markup) for AI systems to read

27 of 149

score below 40/100, the range our reports flag red

Every number in this band is recomputed from our benchmark records each time this page is rebuilt. The same audit that produced these aggregates produces your report.

What your report looks like

This is a real excerpt from our benchmark: a specialty aquarium-decor store, audited on 2026-08-17. Your report follows exactly this shape.

Composite score

75.6/100

Standing: top 8.4% of 149 stores measured

HIGH AI answers about the brand did not cite the brand's own domain
A shopper who asks that question is ready to buy. When the assistant's answer skips your store, the visit goes to whichever competitor it names, and no analytics report will ever show you the loss.
Measured: gemini's answer to "best products online store" did not cite the store's own domain (2 of 9 live probes affected).
The fix: Improve on-site authority for brand/product questions (canonical URLs, no paywall or JS-only rendering of key content, clear brand name usage in page titles and headers) so AI engines cite your own site instead of a third-party page when answering about you.
MEDIUM Partial schema.org markup
Product markup is how an assistant reads your catalog with certainty. Without it your products get described secondhand, from whatever a crawler could scrape.
Measured: Only Organization JSON-LD found; Product/ProductGroup markup missing.
The fix: You have one of Product/ProductGroup or Organization JSON-LD but not both -- add the missing type so AI crawlers get a complete picture of your storefront in one pass instead of a partial one.
MEDIUM No Wikidata entity or Wikipedia page found
Answer engines check primary sources to decide whether a brand is real before they recommend it. A store with no entry starts every trust question one citation behind a competitor that has one.
Measured: No Wikidata entity or Wikipedia page found for this brand.
The fix: Create (or claim) a Wikidata entity for your brand and, where notability supports it, a Wikipedia page -- these are primary sources AI answer engines cite for "who is this company" questions.

The AI-answer layer of this run was measured with live Gemini web-answer probes; the web-presence checks are direct HTTP measurements of the store's own public surfaces.

The free teaser gives you this same shape for your own store: the score plus your highest-impact findings, delivered by email. The $59.00 CAD full report writes out a fix for every finding across all five scored dimensions. Monitoring at $29.00 CAD / month re-runs the audit and flags what changed since your last report.

Email my free score

See it run

A 70-second narrated walkthrough of the real product, from the intake form through the teaser email to the finished full report, all shown for one real audited store. Recorded against an earlier benchmark run, so the standing shown in the footage can trail the live benchmark count by a store or two.

Who runs this

Firstlight AI Search Visibility is a product of Metabus Automation Solutions (MAS), a Canadian software company run by Jason Deichert. The audit engine behind it is the same one that produced the public sample report on this site, and every report a customer receives comes from that same engine. There is no agency and no sales team behind this page; if you write to hello@metabus.ca, Jason answers.