Online stores tend to fail in the same few places. Most are fixable by your own team once someone has found them.
On this page
D2C SEO services for an online store are mostly about the catalogue: which pages search engines are pointed at, whether product data can be read, and whether the pages a buyer checks before paying are real.
On a D2C food store, most of the URLs submitted in the sitemap were near-empty tag archives, crowding out the real catalogue. A live FAQ page was still template placeholder text, and the terms page named a different business as the contracting party.
On a design-led e-commerce store, product offer markup used the wrong property casing, so price and availability were unreadable on every product. It traced to a custom override, not the platform.
On the food store, the client's own team fixed 11 of the 17 findings, fully or largely. On re-audit, my health score for the site moved from 43 to 65, and held there twelve days later. That score is my own weighted baseline across seven categories, not an external metric, and the fixes were theirs.
There are none here. A package fixes the price before anyone has looked at the store. The first three to five findings are free, and the scope follows from those.
The two stores in my case studies run on WooCommerce and Wix. I have not audited a Shopify store yet, so I do not sell Shopify-specific work.
Real engagements, described by sector only. Each includes the report and the workbook.
Full technical, content, schema and AI-search audit, then two re-audits to track what the client's team fixed, followed by keyword research and a competitor gap analysis.
Four first-draft claims were withdrawn or corrected before the report was released — including two 'duplicate product' pairs that had only been inferred from similar-looking URLs.
Audit delivered, then re-audited twice.
Full-site technical, on-page, content, schema and performance audit, with every content page crawled and a random sample of product pages checked.
One apparent crawler block turned out to be rate-limiting caused by the audit itself, and was rejected before it reached the report.
Audit delivered; implementation not recorded.
The first three to five findings on your site are free, with no call required. I do not publish prices for full audits yet. If you want more after the free findings, ask, and the quote follows from what those findings show.
Mine runs in two passes. The first is an agentic audit of the whole site through systems I designed: indexation, canonicals, sitemaps, structured data, performance, images, AI crawler access, and the copy itself checked for factual errors.
The second pass is the one that matters. Every finding is re-tested by hand against the live site and labelled Confirmed, Likely or Unverified before it goes in the report, with a check you can run yourself.
Send a URL. Three to five verified findings come back within two working days, free, with no call required.
Ask my AI
Answers from notes I wrote. It shows its sources and says when it does not know.
Ask about the case studies, how I would approach your site, or what actually goes into an audit. Every answer shows the note it came from.
AI-generated from my own notes. Verify anything that matters.