For Shopify Plus · £5M–£200M revenue · 1,000–50,000 SKUs
Seven-figure catalogs don’t lose agents to algorithms. They lose them to catalog drift.
Plus teams ship fast. That speed creates quiet, compounding catalog mistakes that surface only when AI shopping agents route their queries to a competitor. Here are eight of them, and the Flintmere pillar that catches each.
Eight Plus-scale mistakes
Each one is silent. Each one is measurable. Flintmere surfaces all eight.
No llms.txt at the root
Agents fall back to raw crawling. On a 10,000-SKU storefront that means slower, shallower indexing and a disadvantage against competitors who publish a curated manifest.
Flintmere: Flintmere fetches /llms.txt during every scan and scores presence, structure (H1 + at least one H2), and content freshness.
Check · Agent crawlability
robots.txt blocks AI agents by default
A well-meaning SEO audit added `User-agent: GPTBot Disallow: /` in 2024. It never got revisited. Your catalog is invisible to every GPT-powered shopping surface.
Flintmere: We parse robots.txt for blanket disallows and explicit blocks on GPTBot, ClaudeBot, Google-Extended, PerplexityBot, Applebot-Extended, cohere-ai, Bytespider, CCBot, OAI-SearchBot, ChatGPT-User.
Check · Agent crawlability
GTINs missing at the long tail
The top 200 SKUs are clean. The next 4,800 inherited from an old supplier integration never got GS1-registered barcodes. Amazon + Google Shopping silently demote the long tail.
Flintmere: Flintmere flags every variant missing a barcode, validates modulo-10 checksums, and shows you the GTIN-less ceiling — the best score you can reach without paying GS1 fees yet.
Check · Identifier completeness
Metafield templates drift between categories
Apparel products have `material`, `care_instructions`, `fit`. Electronics products have `model_number`, `compatibility`, `warranty`. The overlap between the two templates is 12% and no one owns it.
Flintmere: Install Flintmere to unlock attribute scoring. We check each product against a vertical-specific template and flag metafields that agents expect but your theme is not populating.
Check · Attribute completeness
Shopify Catalog Mapping never done
Your team built beautiful custom metafields for `shoe-width-us`, `shoe-width-uk`. Shopify Catalog has `size.width` as a standard field. The mapping UI sits empty. Agents see raw custom fields as noise.
Flintmere: The embedded app scores your mapping coverage and surfaces high-value mappings to commit — the ones that move the needle most on agent discoverability.
Check · Catalog mapping
Title fluff from a 2022 import job
"BEST EVER Premium Ultra Professional Coffee Grinder Matte Black Limited Edition MUST HAVE" — 142 characters, mostly noise. Agents strip it to "Coffee Grinder" and you lose the differentiator.
Flintmere: Flintmere detects all-caps shouting, exclamation spam, promotional language, and title length exceeding the agent-parseable cap (150 chars). We show you which products need rewriting, ranked by revenue impact.
Check · Title & description quality
Active products with zero inventory
Drift accumulates. 380 products are ACTIVE with zero available inventory and deny-backorder policy. Agents penalise catalogs with stock inconsistencies; your rank drops across every surface.
Flintmere: We cross-check product status × inventory × policy and flag every product that should be DRAFT or have backorder enabled.
Check · Consistency & integrity
Missing external URL for agentic checkout
Shopify agentic storefronts require a populated external product URL metafield. Your theme writes product handles but not the fully-qualified URL, so AI checkout eligibility fails silently on 100% of the catalog.
Flintmere: The embedded app inspects each product for the required metafield and offers a one-click bulk-fix that writes canonical URLs across the catalog.
Check · AI checkout eligibility
Plus-tier concierge
Send your store URL. Three working days later, a written audit lands in your inbox.
£97 gets you the team reading your catalog product by product, a 1,500-word letter pointing at specific SKUs by name, a per-product fix CSV with the worst ten offenders already drafted, a 30-day fix sequence, and a 30-day re-scan. No video, no call — just the data a Plus ops team can action the same morning it arrives.