From Page 2 to Citedin AI Overviews,in 16 Weeks.
A £2.1M DTC brand had most of its category pages stuck on page 2–3 of Google and zero presence in ChatGPT, Perplexity or Google AI Overviews for any of its core product terms. We ran SEO and AI answer-engine optimization as one strategy rather than two — the same schema, structure and topical depth work that improved rankings turned out to be exactly what earned the brand citations.
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Client DTC ecommerce · £2.1M annual revenue · organic search under 12% of traffic
Ranking Nowhere on Google, and Invisible to AI Search Entirely
The brand is a DTC ecommerce business generating £2.1M in annual revenue, with organic search driving under 12% of total traffic. Most category pages sat on page 2–3 of Google — visible to a crawler, invisible to a buyer who never scrolls that far.
AI search was a harder zero. The brand had no mentions in ChatGPT, Perplexity, or Google AI Overviews for any of its core product terms, at a point when a growing share of category research was starting there instead of in a search bar.
Three Gaps Limiting Both Kinds of Search
The audit looked at traditional rankings and AI citations together, because the same pages were failing at both for the same underlying reasons.
Thin, templated content with no topical authority
Product and category pages were built for conversion but carried almost no informational content — nothing substantial for a search engine or an AI model to reference or cite.
No structured data or answer-ready formatting
Pages lacked schema markup, clear headers, and direct-answer formatting, making it hard for both traditional crawlers and AI answer engines to extract clean, quotable information.
Weak topical and backlink footprint
The site had almost no supporting content around the problems its products solved, and a thin backlink profile left domain authority behind category competitors.
One Combined Strategy Over Sixteen Weeks
Structure first, then depth, then citations — each phase built on the page work the last phase had already shipped.
- Weeks 1–4
Technical and structural foundation
We implemented Product, FAQ, HowTo and Review schema across key pages, fixed crawl and indexation issues, and restructured page content into clear, scannable sections with direct-answer formatting — the format AI answer engines consistently favour when selecting what to cite.
schema and structure first - Weeks 5–10
Topical content and authority build
We built a content cluster around the core problems the brand's products solved, rather than just product-feature pages, giving the site genuine topical depth. Each piece was written to directly and concisely answer the specific questions customers were asking, in traditional search and in AI chat interfaces alike.
written to answer, not just rank - Weeks 11–16
AI visibility and citation tracking
We tracked how the brand appeared, or didn't, across ChatGPT, Perplexity and Google AI Overviews for target queries, then iterated content specifically to earn citations — tightening answer clarity, adding original data points, and strengthening the pages AI models were most likely to pull from. In parallel, a targeted digital PR push built authoritative backlinks supporting both classic rankings and AI source credibility.
earned citations, not chased them
Sixteen Weeks On, Measured Against the Starting Baseline
| Metric | Before | After (16 weeks) |
|---|---|---|
| Organic sessions per month | 8,400 | 24,000 |
| Keywords ranking in the top 10 | 32 | 118 |
| AI search citations (tracked queries) | 0 | 40+ |
| Organic revenue per month | £14,200 | £27,600 |
Organic traffic grew 186% and organic revenue nearly doubled in the same sixteen weeks, while keywords ranking in the top 10 nearly quadrupled, from 32 to 118. Over the same period the brand went from zero presence in AI-driven search to being cited across more than 40 tracked queries in ChatGPT, Perplexity and Google AI Overviews.
Traditional SEO and AI Visibility Are One Strategy, Not Two
The same structural fixes drove both results — clean schema, direct-answer formatting and genuine topical depth improved classic rankings and were exactly what got the brand cited by AI answer engines. Treating them as one strategy, rather than bolting AI optimization on afterward, compounded results faster than either approach would have delivered alone.
Would ChatGPT Cite You Right Now, or a Competitor?
Most brands have no idea whether ChatGPT, Perplexity or Google AI Overviews mention them at all — there is no rank tracker for it, only a citation or a silence. A free audit is enough to tell you where you stand today and what the same structural work would do for both classic rankings and AI visibility.