AI agents are starting to browse, compare, and transact for your customers. We structure your content and data so agents can read, trust, and choose you — not skip you.
Agents act on structured, trustworthy data. We make sure your products, answers, and policies are something an agent can parse and act on.
Product, offer, FAQ, and organization markup so agents can read your offering accurately.
Clear, complete, machine-parseable detail — specs, comparisons, and answers agents need to decide.
Accurate, structured product, pricing, and availability data so agents can compare and recommend you.
Shipping, returns, and trust details structured so agents (and buyers) can act with confidence.
Clean feeds and accessible content so agents and crawlers can ingest your data reliably.
We assess where agents stumble on your site and prioritize what to fix first.
We test how agents and AI crawlers read your products, answers, and policies today.
We add the schema, feeds, and machine-readable detail agents rely on.
We fill the content and data gaps that make agents skip or misrepresent you.
We re-test that agents can parse, trust, and act on your offering.
Content and data structured for AI agents — assistants that browse, compare, and increasingly transact on a person's behalf. It means machine-readable product data, schema, clear answers, and trust signals an agent can parse and act on.
As more buyers delegate research and purchases to AI assistants, the brands agents can read and trust get chosen. Content that isn't structured for agents risks being skipped.
It builds on SEO fundamentals but optimizes for machine consumption — structured data, feeds, and complete, accurate detail — so an agent, not just a person, can act on your content.
An agentic readiness review: we test how agents read your site today and prioritize the structure and content fixes with the most impact.
We'll review your content against the intent you should own and the sources AI engines cite today. Real findings, no obligation.