Our Role in Agentic Commerce
In an agentic ecosystem, the traditional digital shelf becomes effectively invisible. Human shoppers are influenced by imagery, branding, and emotional cues. AI agents, however, make decisions based almost entirely on structured product information and data accuracy. If key product details such as compatibility, dimensions, pricing, or real-time availability are not clearly exposed through high-quality structured data, then for an AI buyer the product may effectively not exist.
This shift requires brands to move beyond traditional Search Engine Optimisation (SEO) and towards Answer Engine Optimisation (AEO). Discoverability increasingly depends on the ability to provide the best response to complex, multi-part queries, rather than simply ranking for a single keyword.
Search behaviour is changing as AI agents increasingly influence how products are found and selected. Traditional SEO is no longer only about ranking pages for human shoppers. It is also about ensuring that AI systems can interpret, trust, and surface your product information accurately within automated shopping journeys.
As commerce becomes more agent-led, strong SEO will depend on clarity, structure, and the ability to provide reliable information that AI agents can confidently recommend.
Key priorities for agentic SEO include:
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- Using robust Schema and structured metadata to make product details machine-readable
- Maintaining accurate product feeds with complete attributes, pricing, and stock information
- Creating content that answers intent-led and conversational queries
- Optimising for AI-driven discovery environments, not just traditional search engines
Paid media is also evolving as AI-powered shopping interfaces reshape the customer journey. Advertising will increasingly appear within assistant-led experiences, where AI agents may consider sponsored placements and merchant trust signals when making purchase decisions.
In an agentic commerce landscape, PPC success will rely on more than targeting alone. It will require brands to ensure their paid strategies remain relevant within AI-mediated decision-making channels.
Brands should prepare by focusing on:
- Emerging sponsored product opportunities in ChatGPT-style shopping environments
- Adapting Google Ads strategies as generative AI changes paid search formats
- Aligning campaigns with structured commerce data to improve AI interpretability
- Strengthening paid visibility across automated recommendation systems
The traditional conversion funnel is beginning to collapse. Purchases are no longer happening only on branded websites, but increasingly through AI-driven touchpoints where external agents can complete transactions on a customer’s behalf.
To support this shift, commerce systems must adopt open standards that clearly expose store capabilities around tax, shipping, loyalty, and checkout, without requiring bespoke integrations, while ensuring the business remains the Merchant of Record even when the buyer is automated.
We are moving into a future where buying can happen through:
- Chat-based interfaces
- Virtual assistants
- Embedded AI storefronts
- Open protocols like MCP enabling secure agent access
- Platforms like Adobe UCP supporting interoperable commerce
Must-Have Commerce Foundations
Ayko provides a focused range of AI PPC services designed to improve paid media performance through smarter insights and continuous optimisation.
High-quality structured data ensures product attributes are readable by non-human buyers
Protocol standards such as MCP and Adobe UCP allow systems to expose commerce capabilities securely
Optimisation must shift from keyword targeting to answering complex intent-based problems
Decoupled architectures enable checkout experiences directly within chat and assistant environments
Secure identity bridging supports loyalty and personalisation without exposing credentials
Granular inventory controls ensure automated channels do not erode high-margin stock
