Megan Jones, an SEO executive at performance marketing agency Door4, explains why Google's first official AI search guide confirms what furniture retailers should already be doing …
Google has just published its first official guide to how AI Overviews and AI Mode actually work, and for retailers currently being pitched AIO (AI optimisation) and GEO (generative engine optimisation) strategies, or charged for llms.txt implementation, the useful part is what it tells you to stop paying for.
It’s what we've been telling clients for a while now. There isn't a strategy pivot necessary. AI tools aren't using llms.txt files, and everything else works exactly as it always has. If you're doing solid SEO (search engine optimisation), you're also doing solid GEO. They're not two separate things.
That isn't to say structuring your content well is a bad idea – it is a good one. But it won't, on its own, get you ranked in an AI Overview or cited by a chatbot.
The assumption I hear most often is that a retailer's current SEO strategy somehow doesn't cover the GEO field. If you have a solid SEO strategy, you have a solid GEO strategy. Trying to treat them as separate disciplines is where budget gets wasted.
Where the bar has genuinely moved is around originality. Google is full of information, and because research for news and product buying is now done primarily on Google, it's becoming rare for content to say anything Google hasn't already seen. That's made it far more important to include real insight from specialists and professionals in the field you're writing about, rather than generic copy repeated across the web. EEAT (experience, expertise, authoritativeness, trustworthiness) has always mattered, but it feels more decisive now than ever.
For furniture retailers, that means the comparison content only you could credibly write – which fabric actually holds up against pets or kids, which frames are worth the extra spend, drawn from real returns and repair data rather than a spec sheet. That's the kind of thing an AI system can't source from anywhere else, which is exactly why it gets cited.
This also applies below the content layer. AI features and shopping surfaces lean on structured, current product data to compare what you sell. That means keeping dimensions, materials, assembly requirements and delivery timelines accurate and consistent across your product feed, not just on the page itself. If those details are thin, outdated or don't match what's on your website, you make yourself harder to surface, even when your on-site content is strong. Treat the feed as a living catalogue rather than a one-off upload.
Almost every business we've worked with this year has had the ‘do we need to pivot our strategy’ conversation, and the answer is no. The ones who'll do best out of this aren't the ones scrambling to rewrite their strategy, they're the ones who already have something worth citing – honest comparisons, real product knowledge, and data that's kept current. That was true before Google published this guide, and it still is now.
