Home Goods Retailer Becomes the Only Brand in Its Category Appearing on ChatGPT and Perplexity

HomeNest is a UK home furnishings e-commerce brand generating approximately £1.8M in annual revenue. Their SEO was competent — they ranked for a reasonable set of product keywords and had a functioning blog. But the MD had noticed something: customers were increasingly mentioning that they had asked ChatGPT or Perplexity for product recommendations before purchasing.

When he ran a few of those queries himself, he did not see HomeNest mentioned once. He saw two competitors mentioned repeatedly. The question he brought to us was not 'how do we do SEO better' — it was 'why are we invisible on AI search and how do we fix it'.

This was not a remediation brief. HomeNest was already performing adequately on Google. The engagement was specifically scoped to AEO — Answer Engine Optimisation — with the secondary goal of not breaking what was already working on Google.

We built a baseline audit using 200 queries representative of how HomeNest customers search. The query set was compiled from customer service chat logs, Google Search Console data, and interviews with the brand's customer success team — not keyword tools, which do not reflect how people phrase questions to AI engines.

We ran every query through ChatGPT-4 (both browsing-enabled and base), Perplexity, and Google SGE. We logged which brands were cited, how they were cited (recommended, compared, referenced), and what content on their site appeared to be driving the citation.

Results: HomeNest appeared in zero of the 200 queries. Two competitors appeared in a combined 14 queries. The content driving those competitor citations was almost always a structured buying guide or a product category page with a clear 'best for X' statement in the opening paragraph.

We identified 47 queries where HomeNest had a clear right to win — either because they had the best product range for that need, or because competitors had no relevant content and HomeNest did, just not structured correctly.

The intervention was surgical. We did not rebuild the site or launch a content marketing programme. We restructured 40 existing pages.

The structural change was consistent: every page was rewritten to lead with a direct, factual answer to the most common AI query associated with that page. On a 'living room sofas' category page, the opening paragraph was rewritten from generic brand copy ('Discover our beautiful range of sofas...') to a specific, answerable statement ('HomeNest sofas are available in fabric, velvet, and leather, with seat depths from 55cm to 68cm — suitable for both compact flats and larger living rooms').

Structured data was implemented to make product attributes machine-readable: material, dimensions, assembly required, delivery timeframe, and price range. This is the format AI retrieval systems can extract cleanly.

We also set up GA4 to isolate AI referral traffic as a distinct source — previously it was being collapsed into 'direct' traffic, making it unmeasurable. This gave the client actual data rather than estimates.

At 120 days, HomeNest appeared in 47 of the 200 test queries — up from zero. AI referral traffic reached 320 sessions/month by month 4 and has grown steadily since. Google organic traffic increased 156% as a secondary effect of the content restructure.

CAC across all channels dropped 28%, partly because AI-referred and organic visitors convert at 3.1% compared to 1.8% for paid display.

The honest caveat: AI search attribution is still imprecise. The 320 sessions/month figure reflects traffic we can directly attribute through GA4. The actual influence of AI search is likely higher — users who ask Perplexity, find HomeNest, then search directly are counted as organic or direct, not AI referral. The numbers are real but they understate the full impact.

The competitive lead is real but not permanent. At the 180-day measurement, one competitor had appeared in 4 of the 47 queries. The lead is being maintained through ongoing content updates, but it will narrow over the next 12 months as competitors start paying attention to this channel.