Agentic Commerce and SEO
When personal agents act on our behalf and business agents speak for brands, control gives way to trust. What becomes of SEO?
As personal AI agents begin to act on our behalf and business agents increasingly represent brands in conversations, the mechanics of search and discovery are fundamentally changing. Ranking content in lists is no longer the primary challenge. Brands must now be understood, trusted, and chosen by machines making decisions for humans.
In this session, we’ll explore how SEO moves upstream in an agentic commerce world – from optimising pages for rankings to making business and commercial truth legible to AI systems. We’ll examine how brands must structure reality for agents, translate human value into machine-readable signals, and ensure they are eligible to enter high-intent conversations.
We’ll look inside agent-to-agent interactions to understand the questions agents ask, the clarifications they seek, and the signals they use to evaluate suitability and trust. These interactions create a new feedback loop for SEO, grounded not in keywords, but in real conversational decision-making.
Finally, we’ll discuss how visibility itself is changing. In an agentic ecosystem, success is measured not by rankings, but by conversational presence, which brands are mentioned, recommended, compared, and ultimately chosen across AI surfaces.
SEO does not disappear in this world.It becomes the discipline that prepares brands to be understood, trusted, and chosen by machines acting on human behalf.
Overview
E-commerce and search are undergoing a fundamental transformation as transactions move from traditional websites directly into AI conversational surfaces and payment applications. Hosted by Jon Earnshaw and Sylvia, this session explores how major platforms like PayPal (in partnership with Debenhams) are collapsing the traditional discovery, evaluation, and checkout funnel into frictionless conversational interactions—and provides a 5-step roadmap for SEOs to prepare for agentic commerce.
Executive Summary
The traditional search funnel—where Google controls discovery, retailers control evaluation on their websites, and third parties handle checkout—is collapsing into a single conversational surface. With payment platforms like PayPal integrating native AI shopping assistants, consumers can discover, evaluate, and purchase items directly inside conversational interfaces without ever visiting a brand’s website. To survive and thrive in this zero-click, agentic landscape, SEOs must optimize for multi-turn eligibility, clean structured product data, and off-site brand sentiment.
Key Takeaways
The “Big Collapse” of the E-Commerce Funnel: Discovery, product evaluation, and payment are merging into single conversational windows. Platforms like PayPal, Apple Pay, and Revolut are becoming primary storefronts where AI assistants leverage purchase histories to offer personalized recommendations and immediate checkouts.
Debenhams & PayPal Case Study: Debenhams partnered with PayPal to offer conversational shopping directly within the payment app. With 16% of Debenhams Group sales already processed via PayPal, this integration eliminates checkout friction, allowing users to discover and purchase products within a trusted app ecosystem.
Eligibility Over Ranking: Traditional position tracking (e.g., tracking rank 80 or rank 30) is giving way to Conversational Eligibility. AI engines evaluate whether a brand is trustworthy, structured, and authoritative enough to participate in multi-turn recommendation dialogues.
Preparing Business Agents in Google Merchant Center: Merchants can claim, brand, and customize AI business agents within Google Merchant Center. Success requires enriching product feeds with conversational attributes (e.g., common Q&As, precise usage conditions, compatibility, and sustainability data).
Voice and Conversational Query Depth: As users shift toward voice search and detailed AI prompts (averaging 60 to 100+ words for complex decisions), LLMs reward sites with deep, clear product specifications rather than generic marketing copy.
5-Step Strategic Roadmap for SEOs in Agentic Commerce
Structure Business Reality for Machines: Audit product data to replace generic marketing “fluff” with structured, decision-ready data (e.g., exact maintenance, compatibility, and lifestyle parameters).
Make Content Conversationally Legible: Format on-site information so LLMs can extract clear, unambiguous meanings and specific product attributes.
Build Conversational Eligibility (Trust & Sentiment): Manage off-site reputation, social proof, and Reddit/forum discussions. AI engines verify third-party trust signals before recommending a brand.
Prepare Commerce Infrastructure: Ensure absolute consistency across product feeds, real-time inventory updates, and payment provider integrations (e.g., UCP / PayPal rails).
Learn From Agent Conversations: Track customer dialogues, lost-sale reasons, and follow-up prompts within AI interfaces to continuously refine content and product strategy.
