Install free on Shopify

Get your products surfaced by AI.

Audit and fix your product data so AI-powered shopping tools and LLMs can actually work with it.

Install free on Shopify See how it works
Deterministic scoring
Every deduction maps back to a rule a merch team can review.
Guardrailed enrichment
Drafts stay inside the product data instead of inventing claims.
Theme-safe delivery
Structured data ships through the extension layer, not theme edits.

Search engines ranked your pages.
AI systems read your data.

Ranking still matters. The difference is that AI systems need structured, consistent product data to interpret pricing, variants, availability, and fit correctly.

ChatGPT AI Mode AI Overviews Copilot Perplexity Gemini Grok Claude GPT-5 Search
Why this has changed

Search still matters. But AI systems parse product data.

Strong SEO still helps discovery. The shift is that answer engines need machine-readable catalog data to classify products, compare them, and cite them accurately.

73%

Catalogs fail basic AI readability checks

Missing product types, weak descriptions, and inconsistent variants are still the norm.

4.2x

More product detail is needed than classic SEO

Engines need factual attributes they can compare, not surface-level merchandising copy.

Reviewable scoring

No black-box scoring claims

StoreBeam keeps the scoring model deterministic so every deduction is inspectable by the merchant team.

How it works

Audit, prioritize, and ship cleaner catalog data.

The product is opinionated where it should be: deterministic scoring, explicit issue ranking, and zero silent writes back into the store.

01

Scan the entire catalog against readiness rules

Every product is scored across classification, eligibility, variant quality, and structured output. The score is only the summary; the useful part is the audit trail.

  • Clear deductions for missing GTINs, weak descriptions, and taxonomy mismatches
  • Rule engine shared by the app and background rescans
  • Works in real time for merchants and in batch for rescoring
81 /100

Outerwear

142 products scanned

↑ +11 pts this week
Classification 29/35
Eligibility 22/30
Variant & Media 16/20
Structured Output 11/15
14 critical
8 high
3 medium

02

Push the highest-value fixes to the top

Merchants do not need another spreadsheet. StoreBeam turns the audit into a ranked work queue so the first fixes are the ones most likely to improve discoverability.

  • One-click workflows for descriptions and alt text
  • Guardrailed enrichment based only on existing product data
  • No merchant store changes without an explicit approval step
Fix queueHighest-value product issues first
58 openSorted by impact and lift
Field Shell JacketOuterwear / FSJ-204

Missing descriptive alt text across image set

critical12 products affected
Generate alt text
Merino Zip CardiganKnitwear / MZC-118

Variants missing scannable GTIN values

critical8 variants need merchant review
Review GTINs
Cable Crew SweaterKnitwear / CCS-083

Description lacks material and fit attributes

high5 products need enrichment
Draft copy
Textured CardiganCold Weather / TC-091

Product type is still using a generic catch-all

high23 products need taxonomy cleanup
Fix taxonomy

03

Monitor whether AI engines are surfacing your products

StoreBeam samples how major AI engines mention your catalog, which products they surface, and what product data they appear to be pulling into answers.

  • Weekly monitoring across 9 AI engines including ChatGPT, Perplexity, and Google AI
  • Visibility shown alongside competitor mentions and citation patterns
  • Trend reporting that stays honest about signal versus causation
Visibility monitor Last 8 weeks
67% avg visibility
ChatGPT Perplexity AI Overviews Gemini
What changes

What AI sees before and after cleanup.

Before StoreBeam After StoreBeam
Weak product semantics Descriptions sell, but do not explain ingredients, materials, compatibility, or specs.
→
Factual descriptions with extraction depth Engines can pull relevant attributes, compare products, and cite them cleanly.
Flat taxonomy Products get left in broad buckets that engines cannot meaningfully compare.
→
Aligned Shopify taxonomy Products land in the right category path instead of a generic catch-all.
Missing machine-readable context Variants, availability, policies, and FAQs are either incomplete or absent.
→
Structured output that survives crawling Theme-extension JSON-LD and supporting store settings expose a cleaner machine view.
Product coverage

One app, built around the parts of AI commerce that are actually controllable.

Instead of stacking generic "AI" features, StoreBeam focuses on catalog structure, merchant-controlled enrichment, and honest visibility monitoring.

Readiness engine

Deterministic scoring merchants can defend internally

Every readiness deduction maps to an explicit rule. Teams can see what changed, why it changed, and what is worth fixing first.

78 /100
↑ +17 pts

after structured data and variant cleanup

Classification 29/35
Eligibility 22/30
Variant & Media 16/20
Structured Output 11/15

Fix queue

High-impact issues rise to the top

The issue queue is ordered by likely discoverability impact, so merchants can focus on the fixes that clean up the machine-readable layer first.

Critical Alt text missing on PDP image sets
Critical Variants missing GTIN values
High Descriptions lack factual attributes

Guardrailed enrichment

Generated copy that stays inside the source data

Descriptions, alt text, and FAQs are drafted from existing product facts. If details are missing, the system flags the gap instead of inventing them.

Before

Soft knit pullover. Great for everyday wear.

After

Merino crewneck sweater with ribbed cuffs, mid-weight knit, and relaxed fit.

Theme extension

Structured data shipped without touching theme files

JSON-LD and FAQ output are delivered through the app embed and block, which keeps implementation cleaner than one-off theme edits or script tags.

product-schema.jsonld
1234567 
{
  "@type": "Product",
  "name": "Merino Crewneck",
  "brand": "Northline",
  "offers": { "price": "88.00" },
  "gtin": "00851700124561"
}

Visibility tracking

Engine monitoring framed with the right amount of caution

Weekly visibility checks show whether engines are surfacing the catalog, but they stay probabilistic and never overclaim attribution.

67% visibility rate
4 engines tracked
↑ 23% vs last month
ChatGPT Perplexity AI Overviews Gemini

Taxonomy alignment

Category cleanup that maps back to Shopify's model

Classification suggestions are tied to concrete taxonomy paths so merchants can standardize product organization instead of creating another custom layer.

Current

Products / Uncategorized / Tops

Suggested

Apparel & Accessories / Clothing / Shirts & Tops / Sweaters

Early access feedback
"We thought our catalog was clean. The audit showed the machine-readable layer was still inconsistent across most of the store."

From a DTC skincare brand during beta testing, paraphrased with permission

47 -> 82 readiness score improvement after prioritized fixes
6 hrs saved compared to a manual catalog and theme audit
1 app for scoring, fixes, schema, and cautious visibility tracking
"The fix queue finally gave merchandising and SEO the same list." Apparel brand · 1.8k SKUs
"We found theme and taxonomy issues we would not have caught manually." Home goods merchant · quarterly cleanup
"The visibility layer is useful because it does not pretend to promise lift." Supplement brand · monitoring customer
Coverage

We check 9 AI engines so you don't have to.

Every week, StoreBeam queries each engine with your tracked prompts and checks whether your products appear in the responses.

ChatGPT
AI Mode
AI Overviews
Copilot
Perplexity
Gemini
Grok
Claude
GPT-5 Search

Pro plan: choose any 4 · Business plan: all 9 engines

Pricing

Pricing that scales with your catalog.

Every plan starts with readiness scoring and issue detection, then expands into enrichment and monitoring as the catalog gets larger and the workflow gets more operational.

Free

See where you stand

$0 /mo

Up to 25 products

  • AI readiness score & issue detection
  • Fix suggestions for titles, categories & metadata

Starter

Fix your full catalog

$19 /mo

Up to 500 products

  • All fix types with AI-powered suggestions
  • Weekly automatic rescans

Pro

Track how AI sees you

$49 /mo

Unlimited products

  • 50 AI-generated fixes/mo (alt text, descriptions)
  • Visibility tracking across 4 AI engines
  • 50 tracked prompts · Weekly runs

Business

Full visibility, full control

$99 /mo

Unlimited products

  • Everything in Pro
  • 200 AI-generated fixes/mo
  • All 9 AI engines
  • 200 tracked prompts
  • Daily engine runs
Common questions

What merchants ask before installing.

Short answers to the questions catalog and SEO teams send us most often — about scope, safety, and how the scoring actually works.

Is AI readiness just SEO with a new name?

No. SEO optimizes pages for ranking systems that score links and content. AI readiness scores the structured product data — categories, GTINs, variants, schema, alt text, factual descriptions — that engines like ChatGPT, Perplexity, and Google AI Overviews actually parse to recommend products. Strong SEO still helps; AI readiness is the layer underneath it.

Will StoreBeam change my product data without permission?

Never. The default scan is read-only. Every fix — descriptions, alt text, taxonomy changes, FAQs — is staged for explicit merchant approval before anything is written back to your store. Nothing ships to your catalog or theme silently.

Do I need a developer to install this?

No. StoreBeam installs from the Shopify App Store like any other app. Structured data is delivered through a Shopify theme app extension — no theme code edits, no script tags, no custom liquid. If you can install an app, you can run StoreBeam.

Does the theme extension work with any Shopify theme?

It works with any Shopify Online Store 2.0 theme, which is every theme currently sold in the Shopify Theme Store. If you're on a heavily customized older theme, the app embed still ships JSON-LD; the FAQ block requires a 2.0-compatible theme.

How do you decide what AI engines actually look at?

The scoring rules are derived from the public schemas the engines support (schema.org Product, FAQ, Organization), the Shopify Standard Product Taxonomy, and observed citation patterns from the visibility tracking layer. Every deduction maps to an explicit, inspectable rule — no black-box scoring.

How accurate is the visibility tracking? Can it tie fixes to traffic?

Visibility tracking samples 9 AI engines weekly and reports whether your products are surfaced for the prompts you track. We stay deliberately probabilistic and never claim that a specific fix caused a ranking change — AI search rankings are non-deterministic and influenced by many factors outside your catalog. The signal is directional, not causal.

What's the difference between Pro and Business?

Pro ($49/mo) covers visibility tracking across 4 AI engines with 50 tracked prompts and weekly runs, plus 50 AI-generated fixes per month. Business ($99/mo) extends tracking to all 9 engines, raises tracked prompts to 200, runs daily instead of weekly, and bumps generated fixes to 200 per month. Both are unlimited products.

Ready to audit

Stop optimizing for ranking systems that no longer explain how people shop.

Run the audit, see where your catalog breaks for AI engines, and decide which fixes are worth shipping. No custom implementation project required.

Install free on Shopify

Structured for serious catalog teams, without enterprise friction.