GEO Is Not SEO: What Transfers, What Doesn't, and What Replaces It

"Table Stakes", According to Walmart

On 3 August 2026, Retail Technology Innovation Hub covered a Fynd whitepaper on agentic commerce, drawing on live deployments including one platform processing 1.6 million orders a day and an agent implementation credited with a 40% revenue uplift. The whitepaper's assessment of this market is that the UK is "structurally ready" for the shift.

"Getting this right has quietly become table stakes. Over the next couple of years, as agents mediate more of how people shop, GEO becomes the baseline everyone in retail has to meet," said Dr Astha Purohit, Director of Product Management at Walmart, quoted in the report.

The report's diagnosis of why retailers are behind is the part worth sitting with. For two decades, retail technology was built around human browsing: the merchandising, the imagery, the layout, the funnel. The competition now is for the agent's attention, and almost none of the accumulated craft addresses it.

The Three Things That Disappear

SEO is a discipline built on three assumptions, and agentic discovery removes all of them.

There is no ranking. A search results page has ten positions and a long tail below them; being fourth is worth something. An agent asked "what is the best waterproof backpack for cycling to work with a laptop?" returns one recommendation, or perhaps three. There is no position four. The distribution of outcomes is not a curve, it is a cliff.

There is no click. SEO's entire feedback loop, from click-through rate to bounce rate to attribution, assumes the shopper arrives on your page. When an agent answers from your data, the shopper may form a complete impression of your product without ever loading your site. Analytics built on sessions will under-report an influence that has already happened.

There is no keyword. A shopper types "waterproof backpack" into a search box. The same shopper tells an agent they cycle eight miles each way, carry a 16-inch laptop, got soaked last winter and would rather not spend more than £120. That is not a keyword, it is a specification. Matching it requires knowing what a product is for, not which phrases appear in its title.

What Does Carry Over

More than the sceptics claim. An agent still has to fetch something and parse it, so a decade of technical SEO hygiene retains its value:

• Crawlability and access. If a crawler cannot reach it, an agent cannot use it. Blocking every bot in robots.txt is now a commercial decision, not a technical one.
• Structured data. Schema.org markup was always machine-readable; agents are simply a more demanding consumer of it than a rich snippet ever was.
• Attribute accuracy. Correct dimensions, materials, compatibility and stock mattered for shopping feeds and matter more now, because an agent will state them as fact.
• Freshness. Stale prices were an annoyance in a results page. In an agent's answer they are a wrong statement made on your behalf.

What does not carry over is everything downstream of the ranking model: keyword density, title tag experiments, link acquisition, position tracking. Not because those things became disreputable, but because there is no ranked list for them to influence.

What Replaces It: Answer-Fitness

The organising question of SEO was "which query should this page rank for?" The organising question of GEO is different: "which shopper problem is this product the correct answer to, and can a machine verify that?"

In practice that means publishing, per product, the things a human sales assistant would know and a product page rarely states outright:

• The questions a buyer asks before choosing it, with a short, grounded answer to each.
• The problems it solves, in the words a shopper would use to describe the problem rather than the product.
• The use cases it fits, and by implication the ones it does not.
• The live facts (price, stock, variant availability) that decide whether a recommendation is even valid today.

That last point is underrated. An agent recommending a product that turns out to be out of stock has burned the shopper's trust in the agent, not just in you. Systems learn to avoid sources that embarrass them.

How You Measure Something With No Rankings

The reporting has to change with the discipline. Three measurements replace the ranking report:

• Retrieval. Which AI systems fetch your product data, how often, and which products they ask about. This is the closest thing to an impression count, and unlike rankings it is a fact rather than an estimate.
• Citation. Ask the agents the questions your buyers actually ask, and record whether your products are named. Tedious, but it is the only direct read on the outcome that matters.
• Accuracy. When your product is named, is what the agent says about it true? A confidently wrong specification is worse than an omission.

None of these fit in a rank-tracking tool, which is precisely why so few retailers can tell you how they are performing in a channel that, on the Fynd numbers, is already moving serious volume.

Where Agenticfeed Fits

Agenticfeed is built around the answer-fitness model rather than the ranking model. It takes your catalogue and produces, for each product, the questions, problems and use cases it addresses with grounded answers, published as a machine-readable feed with live price and stock, and made discoverable through the channels agents actually use: a Google Merchant Center feed, an Agentic Commerce Protocol feed, and an MCP connector.

On the measurement side, requests to that feed are logged, so retrieval stops being a mystery. For the deeper mechanics of how an agent picks between two similar products, see How AI Shopping Agents Choose Products; for the format itself, What Is an Agentic Feed.

Frequently Asked Questions

What is generative engine optimisation (GEO)?

GEO is the practice of making a product legible to AI systems that answer a shopper's question directly rather than returning a list of links. Where SEO competes for a position in a results page, GEO competes to be the product an agent names in its single answer.

Does my existing SEO work still count?

Partly. Crawlability, structured data, accurate product attributes, page speed and clean site architecture all still help, because agents have to fetch and parse something. What does not carry over is anything built around ranking position, keyword density, click-through rate or link acquisition, because there is no results page to rank in and usually no click to earn.

How do I measure GEO if there are no rankings?

By retrieval and citation rather than position: which agents fetch your product data and how often, whether your products are named in answers to the questions your buyers actually ask, and whether the facts repeated back about your products are correct. The unit of measurement moves from a ranking report to an answer audit.

The Takeaway

Calling GEO "the new SEO" is a useful way to get a budget approved and a misleading way to spend it. The two disciplines share a substrate of crawlable, structured, accurate data, and almost nothing above it.

The retailers who struggle will be the ones who hand this to a team optimising for a ranking that no longer exists. The ones who do well will start from a different question: not how to rank for what shoppers type, but how to be the right answer to what they actually need.