AI for ecommerce brands paying too much for traffic
When acquisition cost climbs, the instinct is to fix the ads. Usually the bigger number is somewhere else: a catalogue search cannot read, an ad account nobody has audited in a year, and a cart abandonment rate treated as a law of nature.
Catalogue SEO is where most stores leak the most and notice the least. Duplicate product descriptions from a supplier feed, faceted navigation generating thousands of near-identical crawlable URLs, missing or invalid product structured data, and collection pages with no unique content — these are not exotic problems, they are the default state of a store that grew quickly. The traffic lost to them is traffic you then rebuy through ads.
The second is the ad account itself. Accounts accumulate: campaigns nobody paused, audiences that stopped converting, conversion events double-counting through both a pixel and a server-side tag, and attribution settings nobody has revisited since iOS changed the rules. An independent audit routinely finds a meaningful share of spend doing nothing.
The third is the storefront as an attack surface. A store handling payments and customer data, usually running a stack of third-party apps and themes with their own dependencies, is rarely scanned. Exposed secrets in a theme, an outdated dependency, or a TLS misconfiguration are ordinary findings — and in this industry the consequences carry regulatory weight.
What you get
Catalogue SEO at real scale
Crawl-based auditing across thousands of product and collection URLs, finding duplication, indexation waste and invalid structured data.
Independent ad audits
Your Google and Meta accounts checked against several hundred structured checks by someone who does not earn a percentage of the spend.
Product schema done properly
Valid Product and Offer structured data with price, availability and currency — the prerequisite for any merchant or shopping surface.
Recover the abandoned cart
Cart and browse-abandonment sequences over email and SMS, with consent tracked per contact.
Scan the storefront
Vulnerability, exposed-secret, dependency and TLS scanning across the store and the apps bolted onto it.
Competitor visibility
What competitors rank for, what they advertise, and where the gap between their catalogue coverage and yours actually is.
Deliverables
Everything that lands in your repo, inbox and dashboard at the end of the engagement.
- Full-catalogue technical crawl with prioritised, deduplicated findings
- Product and Offer structured data implemented and validated
- Indexation and faceted-navigation plan for crawl-budget waste
- Independent audit of each ad account with a specific change list
- Cart, browse and post-purchase sequences with consent handling
- Baseline security scan of the storefront and its installed apps
How we deliver
Audit the catalogue before touching spend — you cannot size an ad problem while an SEO problem is masking it.
Tracking integrity first: an account measured wrongly cannot be optimised, only guessed at.
Valid Product and Offer markup across the catalogue, which gates every shopping and comparison surface.
Increase spend only against pages and tracking that have been verified to work.
The products doing the work
Nothing here is bespoke-only — these are live WebomAI products you can subscribe to today, configured for this industry.
Digital Marketing OS
Crawl-based SEO audits across the catalogue, competitor intelligence, and ad-account audits spanning several hundred checks.
See Digital Marketing OSShield Security
Eight scanners across the storefront and its dependencies: vulnerabilities, secrets, SBOM, DAST, TLS and misconfiguration.
See Shield SecurityCRM Hub
Customer records, abandonment and post-purchase sequences, and consent tracked per contact.
See CRM HubAI Website Builder
Landing pages and content built for search, published without waiting on a theme developer.
See AI Website BuilderFrequently asked
The SEO crawl, ad audits and security scanning are platform-agnostic — they work against your live store whatever it runs on. There is no pre-built app for these platforms today; implementing recommended changes happens in your theme or through our API, and we will say plainly which findings need a developer.
For physical products, yes — that runs through Google Merchant Center, and the prerequisites are valid Product and Offer structured data, accurate price and availability, and a feed that passes review. We fix the site-side requirements. We will not claim to control Merchant Center approval, which is Google's decision against their policies.
We audit and advise rather than take over the account by default, which is deliberate: an auditor paid a percentage of spend has an obvious conflict. If you want ongoing management it is a separate retainer, priced as a retainer rather than a percentage.
That is the case where crawl-based auditing earns its keep, because manual review is not possible at that size. Findings are grouped by pattern rather than listed per URL, so you get a small number of systemic fixes instead of a spreadsheet nobody will read.
No. Scans are rate-limited and scheduled, and the active scanning is bounded to targets you have explicitly authorised — the system refuses targets you have not, by design rather than by convention.
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