Shopify app · In development Your products are invisible to AI shoppers. Findable fixes that.
ChatGPT, Google AI Mode, Gemini and Perplexity now shop for people, and they rank on data completeness. Products with missing attributes are not ranked lower, they are filtered out. Findable finds those gaps across your catalog, fills the ones it can and flags the rest, then keeps proving you are showing up.
AI is doing the shopping. It only sees complete products.
The takeaway is not a promised sales number, it is coverage: the more of your catalog carries the attributes agents check for, the more of it gets surfaced and bought by AI shoppers. Findable is how you get that coverage without editing hundreds of products by hand.
See how much of your catalog AI would filter out.
Enter your store domain. Findable reads your public products feed, scores it the way an AI agent would, and shows how many products are at risk of being filtered out and which fields are dragging you down. Nothing installed, nothing stored.
This reads the public catalog only. Installed in your store, Findable sees every product and can write the fixes back.
This is the read-only view. The app fills the gaps.
The free check tells you where you stand. Installed, Findable drafts the missing descriptions, categories, variant attributes, alt text and FAQ, shows you the diff, and writes them back with one-click rollback. Then it keeps watching, so a new product or a theme update never quietly drops you out of AI results.
Agents do not guess. They exclude.
A shopping agent reads structured product data and shortlists what matches. A blank field is not a small penalty, it is a missing answer, and the product drops out of the running before a shopper ever sees it.
Incomplete is invisible
No category, no price signal, a thin description: the agent cannot place the product on a shortlist, so it leaves it off. You never see the sale that did not happen.
Shopify does not fill it
Native storefronts sync and inject schema, but they emit from the data you already have. If the source fields are empty, the feed that reaches the agent is empty too.
Doing it by hand does not scale
Categories, variant axes, FAQ and alt text across hundreds or thousands of SKUs is work nobody automates. That is exactly the gap Findable closes.
See exactly who gets filtered out, and why.
Findable scores every product against the attributes agents actually check, then sorts your catalog by risk. You get the products at risk of exclusion, the field pulling each one down, and coverage across the whole store at a glance.
- AI-readiness score per product, worst first
- The precise field missing on each at-risk SKU
- Store-wide coverage, so you fix the field that moves the most
Measure, fill, emit, prove.
The one-time cleanup is the easy part. The reason to keep Findable is the loop: it does not stop at the alert, it closes measure to fix to proof.
Measure
Scan the whole catalog, score AI-readiness per product, and surface the products at risk of being filtered out.
Fill
Auto-draft the fields it can, flag the ones only you can supply. Review the diff, apply in bulk, roll back any change.
Emit
Publish complete Product JSON-LD and a maintained llms.txt, so native channels and agents read rich data, not empty fields.
Prove
Track whether your store shows up for the queries that matter, with the trend over time, so the visibility you paid for is visible.
It writes what it can. It never invents what it cannot.
Findable touches real sales data, so the line is strict: it drafts the fields it can derive from what you already have, and flags the ones that need a fact only you hold. Nothing is written without your review.
- Product descriptions from titles, specs and existing copy
- Standard product categories mapped from title and type
- FAQ content in metafields
- SEO titles and meta descriptions
- Structured variant attributes: colour, size, material
- Image alt text
- GTIN and MPN identifiers
- Product images and additional angles
- Ratings and reviews
- Anything that needs a fact only you can verify
These get a clear, guided flag with the reason, never a guessed value on your live storefront.
The catalog is never finished. Findable keeps watch.
A new product ships incomplete, a theme update strips your schema, an agent changes what it checks for. Findable re-scans on a schedule, alerts you the moment readiness slips, and shows the visibility trend so you can see the work paying off.
- Scheduled re-scans, weekly on Pro, daily on Agency
- Alerts on regressions and new incomplete products
- Visibility tracking on the queries that matter to you
Free to see the gaps, paid to close them.
- Full catalog scan and AI-readiness score
- Products at risk of being filtered out
- Field coverage across the store
- Top fixes to make first
- Everything in Free, plus:
- Unlimited enrichment and bulk write-back
- Review, diff and one-click rollback
- Product JSON-LD and llms.txt emitter
- Weekly monitoring, alerts and visibility tracking
- Everything in Pro, plus:
- Multiple stores under one plan
- Bulk operations across catalogs
- Daily monitoring
- White-label reports
Before you install.
Is this just another AI SEO app or a schema injector?
No. Plenty of tools inject schema and llms.txt from the data you already have. Findable fills the incomplete source data first: the missing descriptions, categories, variant attributes and FAQ that make an agent filter a product out. The clean schema comes out the other side, built on rich data instead of empty fields.
Will it change my live products without asking?
Never silently. Every enrichment is a draft you review as a diff before it writes back, and every change can be rolled back with one click. It touches real sales data, so the safety rails come first.
Can you guarantee more sales from AI shoppers?
No, and anyone who promises a guaranteed number is guessing. What Findable guarantees is coverage: more of your catalog carries the attributes agents check for, so more of it is eligible to be surfaced and bought. The published figures on AI traffic growth and complete-data visibility are why that coverage matters.
Which AI agents does this help with?
The ones shopping today: ChatGPT, Google AI Mode, Gemini and Perplexity. They read structured product data from your feed and shortlist on completeness, which is the exact input Findable improves. New surfaces get added as they arrive.
What does it need access to?
It reads your products to score and enrich them, and writes back only the fields you approve. For the free check it reads only your public products feed, the same data a shopping agent sees.
Which plan do I need?
Free scans and scores your whole catalog. Pro adds the enrichment, write-back with rollback, the schema emitter and monitoring, which is where most stores live. Agency is for studios running several client catalogs, with bulk operations and white-label reports.
See what AI would filter out.
Run the free check on your store, no install, and find out how much of your catalog is invisible to AI shoppers right now.
Check your store freePart of the family
Findable is the AI and discovery member of Hewnpath, next to HewnScan for accessibility on Shopify, and the audit tools for Figma and Webflow. Same discipline: measure it, fix it, prove it.