AI SearchIndustry PerspectiveSEO

You can rank first and still lose the sale

You can rank first and still lose the sale

My role as a search specialist has changed more in the last year than in the ten before it. Search used to be settled: you ranked, you got traffic, you converted some of it. That deal is coming apart. People get answers from AI without clicking, buy through assistants, and form a view of your brand in places you never see.

The brands winning right now aren’t the ones with the best rankings, but the ones who can still tie search to revenue while the ground moves under them. It’s the thinking behind why I called my newsletter Return on Search: the point was never the visibility itself, but what search returns to the business.

I recently went live with Samanyou Garg, founder and CEO of Writesonic, for a session on what winning brands do differently in AI search. This is the recap, the argument and the ten takeaways we landed on.

The blunt question I keep putting to brands: when someone asks ChatGPT, Gemini or Perplexity for the best in your category, does it name you, or the company down the road? Most don’t know when I first ask, or they’re going off their own prompting of their own brand, which is badly skewed by their context and bias.

Presentation slide asking whether AI recommends you or your competitors, noting buyers now ask ChatGPT, Gemini and Perplexity who to trust, buy from and shortlist, not only Google.

The winners aren’t always the biggest, either. Specialist depth and clean structure beat brand size more often than you’d think. Most brands don’t yet know how visible they are in AI search, or how they’re being described, and measuring it gives you a practical place to start improving trust, visibility and revenue.

AI search is now measurable

Quote card with Christian Goodrich: when brands first come to us, most have little visibility into how they show up in AI search or what it's saying about them, and measuring it surfaces goldmine insight.

Back in December, at SOZO we re-platformed an independent fabric retailer that competes with UK household names like John Lewis, moving their entire store of 6,000+ SKUs just days before Christmas. Migrations at that scale are tense, and there are never guarantees with how search engines and AI platforms will take changes that big.

Within 30 days their Google Gemini visibility was up around 30%, with visibility up 10% across all tracked AI platforms. Across their tracked terms they now appear in 94+ relevant Google AI Overviews; a household-name department store in the same category shows up in 3. Not by outspending anyone, but by getting the foundations right and answering the real friction points their customers raise. I’ve written up that migration in more detail in the case study.

Most of what AI says about you isn’t from your site

When we measure where these tools draw their picture of a brand, the bulk comes from sources you don’t fully control: third-party review sites, Reddit, YouTube, forums. Your own site is a smaller slice than you’d expect. Authority is earned off your site as well as on it, and it’s work many brands are slow to invest in.

Showing up is only half of it. The sentiment these tools carry, and the caveats they repeat back to buyers, can lose you the sale before anyone reaches your site. More often than not it’s a customer-experience issue in disguise, lifted straight from your reviews, and fixable once you can see it.

Practical takeaways

The ten takeaways from the session, in full:

  • Measure how AI actually describes you, don’t guess from prompting your own brand.
  • Treat off-site authority as core work: reviews, Reddit, forums and digital PR shape what AI repeats.
  • Read the sentiment, not just whether you’re cited. Being named isn’t being recommended.
  • Fix the customer-experience issues your reviews expose; they’re losing you sales inside the answer.
  • Keep the fundamentals sharp: crawlability, clean structure and structured data still decide whether AI can find and trust you.

Watch the session back

If you’d rather take it in full, the session with Samanyou is below.

The slides are on SpeakerDeck if you want to skim the ten takeaways on their own.

Final thoughts

The brands pulling ahead are the ones acting on what they can now see. Ranking first still counts, but it no longer wins the sale on its own, because the decision increasingly happens inside the answer, shaped by sources and sentiment you don’t own. If AI search has been on your list without a clear place to start, start by measuring how you actually show up, then earn the trust that gets you recommended.

Christian Goodrich

Christian Goodrich

Senior search marketing consultant specialising in SEO, paid search, CRO and AI optimisation. 18+ years helping ambitious brands grow through search.

Christian Goodrich, senior search marketing consultant

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18+ years in search · SEO · PPC · CRO · AI Search