ESSAY 3 · 5 MINUTE READ
SEO After Search: The New Battle for the Consideration Set
Generative search does not make SEO obsolete. It adds an upstream competition: getting into the shortlist before the click exists.
The recurring prediction that AI will “kill SEO” is mostly wrong. Google’s own 2026 guidance says the opposite: the fundamentals of search optimization remain relevant to generative features because those features still rely on core ranking, retrieval and quality systems. Good technical structure, useful content and trustworthy merchant information have not suddenly become liabilities.
What has changed is the shape of the decision that happens before a visit.
A conventional search engine often presents a page of links and asks the user to continue the comparison. A generative interface can synthesize the comparison itself. If a shopper asks for a lightweight carry-on that fits a particular airline’s rules, the system may return three plausible products rather than ten blue links. Hundreds of technically indexed alternatives are not “ranking lower”; for that decision, they are absent from the consideration set.
The scarce resource therefore shifts upstream. The retailer still wants the click, but first it must become eligible for the answer.
Why AI referrals look different
Adobe’s data gives an early indication of what this does to traffic quality. AI-referred retail visits remain small relative to the installed base of search, direct and paid channels, but they have been growing rapidly and converting unusually well. Reuters reported in August 2026 that Adobe found AI-referred shoppers generated 41% higher revenue per visit than traditional channels.
That pattern is consistent with a simple explanation: the external system has already performed some qualification. The visitor who arrives after asking an assistant to compare products is not equivalent to the visitor who clicked a broad keyword ad.
Retailers are reacting accordingly. Reuters reports that Walmart, Ulta Beauty and Wayfair are changing how products and content appear to AI systems while simultaneously trying to keep the eventual transaction inside environments where they retain customer data and loyalty signals. The new discovery channel is commercially attractive precisely because it sits closer to intent.
No magic GEO switch
This is also where a cottage industry of “GEO” and “AEO” tactics has outrun the evidence. Google’s May 2026 guidance is unusually direct: continue doing foundational SEO, create unique and reliable content, maintain strong merchant data, and ignore gimmicks such as unnecessary AI-specific text files or manufactured mentions.
For ecommerce, the practical work is fairly prosaic. Product identities should be consistent. Merchant Center feeds should be current. Price, availability, shipping and returns should be explicit. Product pages should contain information a machine can retrieve rather than hiding important facts inside images or interactions. External evidence—reviews, authoritative coverage, manufacturer information—helps systems corroborate claims.
The objective is not to “write for the model.” It is to reduce ambiguity about what the product is, when it is appropriate and whether the claim can be trusted.
Measure the shortlist, not only the click
Traditional SEO teams know their rankings. Most brands know far less about where they appear in AI-generated recommendation sets, for which intents, with what descriptions and beside which competitors.
That measurement gap is likely to become important. A brand may rank well for a category keyword and still disappear when the query becomes contextual: “best for sensitive skin,” “fits Ryanair cabin dimensions,” “works with this existing device,” or “under €100 for a beginner.” These are not merely longer keywords. They express use cases and constraints.
The right response is therefore additive rather than revolutionary. Keep doing SEO. Improve the underlying product and entity data. Publish genuinely differentiated material. Then measure the new consideration layer separately.
Search visibility asks whether a consumer can find the page. AI visibility increasingly asks whether a system has enough evidence to include the product before the consumer decides which pages are worth opening.
The retailer still wants the click, but first it must become eligible for the answer.
“Prioritize effective SEO strategies over ‘AEO/GEO hacks’.” — Google Search Central
Sources
- 1. Google Search Central, “Optimizing your website for generative AI features on Google Search” (2026)https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
- 2. Google Search Central Blog, “A new resource for optimizing for generative AI in Google Search” (May 15, 2026)https://developers.google.com/search/blog/2026/05/a-new-resource-for-optimizing
- 3. Reuters, “Retailers tap AI shopping traffic but fight to keep customer data” (August 7, 2026)https://www.reuters.com/business/retail-consumer/retailers-tap-ai-shopping-traffic-fight-keep-customer-data-2026-08-07/
- 4. Adobe Digital Insights, “AI traffic grows but retail sites lag in AI search visibility”https://business.adobe.com/blog/ai-traffic-surge-retail-sites-not-machine-readable
- 5. Google Search Central, Merchant listing structured datahttps://developers.google.com/search/docs/appearance/structured-data/merchant-listing