Ten thousand products, optimized without ten thousand tabs
At scale the problem is never knowing what to fix, it is doing it 9,000 times. StoreSEO scores every product, finds the ones actually hurting you, and rewrites titles, descriptions, alt text and schema in bulk — then keeps new products from shipping unoptimized in the first place.
StoreSEO is the AI SEO Agent for Shopify merchants — a Shopify app that optimizes your store for Google and gets it cited by ChatGPT, Gemini, Claude and Perplexity.
4.9/5 from 650+ Shopify reviews
What you get
- Bulk
- meta, alt text and descriptions in one pass
- Auto
- optimization for newly imported products
- Per-page
- SEO score across the entire catalog
The problem
Most of the catalog has never been touched
Products imported from a supplier feed carry duplicate descriptions, empty meta fields and filenames like IMG_4471.jpg. Search engines see a wall of near-identical pages and index a fraction of them.
Crawl budget goes to the wrong pages
Variants, tag pages and out-of-stock products soak up crawl attention while the products you actually want ranked sit undiscovered three clicks deep.
Nobody can audit 9,000 pages by hand
Spot-checking twenty products tells you nothing about the other 8,980. Without a score on every page you are optimizing on vibes.
How StoreSEO handles catalog scale
Six capabilities built for stores where every fix has to apply to thousands of rows at once.
Bulk SEO optimization
Select a collection, a filter or the whole catalog and apply meta titles, descriptions and keyword rules in one pass instead of one product at a time.
Bulk optimize productsAI description generator
Turns duplicated supplier copy into unique, keyword-focused descriptions per product, which is what stops a large catalog reading as thin content.
Generate descriptionsBulk image alt text with AI
Writes descriptive alt text across every product image at once, opening image search and improving accessibility on pages nobody would ever edit by hand.
Add alt text in bulkSitemap product control
Decide exactly which products belong in the XML sitemap so crawl attention goes to pages that can rank, not to every discontinued variant.
Control the sitemapAuto AI optimization
New products get optimized as they arrive. The rule runs on import so a supplier feed can never quietly add a thousand unoptimized pages again.
Automate optimizationRedirect on out of stock
Retired products send their authority somewhere useful instead of returning a dead end, which matters enormously when hundreds of SKUs rotate out each season.
Set up redirectsWays people use it
Concrete situations, tagged by who hits them. Each one names the trigger and what to set up.
A supplier feed just added 2,000 SKUs
Every new product shares one description and has no meta fields at all.
When
Within a day of the import, before crawlers see the duplicates.
Set up
Run the AI description generator over the new products and enable auto optimization for future imports.
Seasonal rotation leaves dead URLs
Hundreds of last-season products 404 and take their backlinks with them.
When
End of every season.
Set up
Turn on out-of-stock redirects and re-audit the sitemap.
Only a third of the catalog is indexed
Search Console shows most product URLs discovered but not indexed.
When
When indexed page count plateaus well below product count.
Set up
Trim the sitemap to rankable pages, make descriptions unique, then submit the priority set for indexing.
Collection pages rank for nothing
Category pages are the highest-value URLs and carry no copy at all.
When
Once product-level work is done.
Set up
Optimize each collection page against its head term and add structured data.
Proving progress on a huge account
The client wants a number, not a narrative.
When
Monthly reporting.
Set up
Pull catalog-wide SEO scores over MCP and report the distribution shift month over month.
Image search is untapped
Twelve thousand product images, none with alt text.
When
Any catalog where images are the product.
Set up
Run bulk AI alt text and enable the image optimizer for filenames and compression.
The prompts
Connect your store via the StoreSEO MCP server or the AI Toolkit, then paste any of these into Claude. They are written for this kind of store, not as a generic template.
Using StoreSEO, list every product scoring below 50, then bulk optimize them: rewrite meta titles and descriptions around each product's focus keyword, generate unique descriptions where the supplier copy is duplicated, and add AI alt text to every image that is missing it. Show me a before and after score table grouped by collection.
Using StoreSEO, audit my sitemap. Remove out-of-stock and discontinued products, confirm every active collection and page is included, set up out-of-stock redirects, and submit the updated URLs for instant indexing. Tell me how many URLs I removed and how many I added.
Using StoreSEO, enable auto AI optimization so newly imported products get meta titles, descriptions and image alt text automatically. Then run it once across everything added in the last 90 days and report what changed.
Run it from Claude
What actually happens when you ask. An illustrative trace of the tool calls the agent makes on your behalf.
> Find every product in my catalog scoring under 50 and fix the meta and alt text on all of them.
- · list_products — 8,412 products, SEO score requested for each
- · filter — 3,207 products scoring below 50
- · bulk_optimize_meta — titles and descriptions rewritten against each product type
- · generate_alt_text — 11,940 images processed
- · update_sitemap — 412 discontinued products removed
- · submit_for_indexing — changed URLs queued with Google
3,207 products lifted out of the failing band, images described, sitemap trimmed to what can actually rank.
In your industry
11 businesses that run this kind of store, each with its own story and its own prompt.
Questions
Can StoreSEO really optimize thousands of products at once?
Yes. Bulk optimization applies meta titles, descriptions and keyword rules across a selection, a collection, or the whole catalog, and AI alt text generation runs across every image in the same way. The point of the feature is that per-product editing does not scale past a few hundred SKUs.
Will AI-written descriptions be unique per product?
They are generated per product from that product's own attributes and focus keyword, which is what separates them from the duplicated supplier copy they replace. You can review and edit any of them before they go live.
How do I stop new products from shipping unoptimized?
Enable auto AI optimization. New products are optimized as they are created or imported, so the catalog does not drift back to empty meta fields every time a feed runs.