Alt text review queue for Shopify merchants

The moment a Shopify store owner finishes a bulk alt text run, they realize they now have 400 outputs and no efficient way to know which ones are wrong. They have to open images one by one, read the generated text, decide if it fits, and edit inline — a process that scales terribly. Most AI alt text tools are built around generation speed, not review quality, because generation is the thing users pay for upfront. The review problem only becomes visible after purchase, so vendors have little incentive to solve it deeply.

The specific failure modes users describe — repeated descriptions across product variants ('same alt text for a red and a blue version of the same shirt'), keyword stuffing that reads as spam, descriptions that miss the focal point entirely — are not random errors. They cluster by image type: product variants, lifestyle photos, abstract graphics. Yet current tools surface all outputs in a flat list with no way to group by likely-error type, no confidence signal, and no way to batch-edit a family of related images at once.

Without a smarter review layer, a merchant with 500 products either ships bad alt text (hurting SEO and accessibility) or spends hours in manual cleanup that eliminates most of the time savings they bought the AI tool for. That cleanup recurs every time they add a product line or run a seasonal refresh. The per-SKU cost of that labor compounds fast for stores with large or frequently updated catalogs.

What to build

Build a Shopify app that ingests generated alt text from any source, groups outputs by visual similarity and error pattern (variant duplicates, keyword stuffing, missing focal subject), and surfaces a triage queue where merchants can batch-approve, batch-edit by template, or flag for manual review — without opening each image individually.

Where to start

Start with Shopify stores that sell products with color or angle variants, where duplicate alt text is objectively detectable without any AI judgment — flag exact or near-duplicate outputs across variant images as the first filter, so the first demo moment is undeniably useful.

The hard part

Detecting which outputs are 'bad enough to fix' requires a signal the merchant trusts — if your confidence scoring is wrong too often, merchants stop using the queue and default back to manual scanning, which kills the core value proposition.

How it makes money

Monthly subscription tiered by number of active SKUs in the store — $19/month up to 500 SKUs, $49/month up to 5,000, with a free tier capped at 50 SKUs to drive word-of-mouth in Shopify communities.