We pointed the audit at our own store first.Here is everything it found.
Kevin Builds Brands is new. We could have bought stock photos of smiling strangers and written five-star reviews that never happened. We didn't. Instead we ran the tool on the one store we have every right to take apart: Kevin's own brand, Thick Thigh Tribe. Real numbers, our own store, nothing dressed up.
The brand
Thick Thigh Tribe is a plus-size sock brand Kevin built to roughly $910K in cumulative gross revenue across four channels (2022-2025) on $0 in paid ad spend. It is a real, running store with real orders, see for yourself. That makes it the honest place to prove what the audit actually does.
What the audit found
The tool reads inside the store through Shopify's Admin API, so these are the store's own numbers, not a guess from the outside.
An audit is only as honest as the data behind it. The tool first saw 100 products and called it done. The real number was 234. Reading all of it means every finding here covers the whole store, not a lucky corner of it.
Without them, Google guesses or skips the page, so people searching for exactly what you sell never find you. 184 of 234 products were effectively invisible to search. That is free traffic walking past the door every day.
A shopper who lands on something they cannot buy hits a dead end. It burns the click, dents trust, and can show as available when it is not. Empty pages quietly leak both traffic and credibility.
New customers are the expensive ones to win. When almost no one comes back, the store is refilling a leaky bucket, paying again and again to find new buyers instead of selling more to the ones it already earned. This is one of the biggest levers on long-term profit.
What we fixed
This is the difference between a PDF and a result. The tool does not just flag the problem, it writes the fix into the store.
Product imagery, 44 images
Products were missing the side and back color shots that help a shopper commit. The tool pushed the missing images to the correct product page across 43 products, automated, in minutes, then verified each one by re-reading the store.
| Product | Before | After |
|---|---|---|
| Midnight Embrace | 2 | 3 |
| Pumpkin Spice | 1 | 2 |
| Spectrum Stride | 1 | 2 |
| All American Stripes | 3 | 4 |
| Rainbow Stripes | 2 | 4 |
Online, the photos do the selling. A shopper cannot touch the product, so every extra angle, especially the detail shots, removes a reason to hesitate at the exact moment they decide. A missing image is a missing reason to say yes.
SEO, 50 products
The audit found 184 products with no SEO title or meta description. We wrote both for all 50 products in the solids and stripes collections, in the brand voice, every title inside Google's 60-character limit and every description inside 155.
Verified store-wide: the missing-SEO count dropped by exactly 50 right after the write.
Those 50 products now tell Google exactly what they are and who they are for, so a search for plus size thigh-high socks has something to land on. Written once, working every day after, with no ad spend behind it.
Catalog cleanup
The audit separates genuinely out-of-stock products from print-on-demand items and gift cards, which sit at zero by design and still sell. Of the 21 genuinely out-of-stock products, we unpublished 6 discontinued ones. The rest are sock colorways kept live for restock.
Pulling dead pages tightens the catalog so every click lands on something a shopper can actually buy, and stops the store from showing items it can no longer sell. The care here is knowing what not to touch: the print-on-demand products that read as zero but still ship were left exactly where they were.
Can AI find you?
Google AI Overviews and shopping assistants now answer questions before anyone clicks. We check whether a store is built to be read and cited, using what is actually in the page, not a guess.
- ✓Product schema — AI engines can read the product, price, and availability
- ✓AI crawlers allowed — GPTBot, ClaudeBot, Perplexity, Google-Extended, CCBot
- ✓Product descriptions — 216 of 227 products have real text to extract
- ✓Image alt text — 226 of 226 products, fixed from 52
- ✓FAQ schema — now live on product pages and rolling out across the catalog nightly
- ○Ratings schema — not yet, worth adding once reviews are wired in
Image alt text went from 52 of 226 products to all 226. Alt text is what screen readers and multimodal AI use to understand a photo. The tool wrote a factual description for every image that was missing one, then we re-ran the check and watched the number move. We then built FAQ schema in too, which now renders on product pages and keeps rolling out across the catalog automatically. Ratings schema is the next one still open.
What we are still measuring
We are not going to tell you these fixes lifted revenue, because we do not have the data yet and we will not invent it. Better imagery, real SEO, and a clean catalog are understood levers, but understanding a lever is not the same as proving it moved for this store.
We are tracking product-page conversion and repeat rate over the coming weeks and will post the numbers here when the window is real, whichever way they land.
Want this run on your store?
Most audits stop at the diagnosis and leave you the homework. Start with the free audit and see real findings before you pay anything.
Get your free audit