Agentic Readiness · Step 4 of 4

Ready for the buyer who isn't human.

More and more product discovery runs through AI assistants and agents. They don't read a pretty product page; they read your data. We make sure you're found, understood, and chosen.

Why now

This becomes relevant faster than you think

  • You notice AI answers name your competitors and not you
  • Your product data was never built with machines as the reader
  • You don't want to be last in line when these channels mature

What we assess

Ready to be found, understood, and chosen

  • Assessment of product data quality and completeness
  • Structured data and schema.org audit
  • Assessment of feeds and exports
  • API and accessibility check for agents
  • Analysis of findability and citation in AI answers
  • Assessment of transactional readiness

How it works

From analysis to implementation

  1. 1

    Analyze

    Assessing product data and feeds for AI agents

    We assess product data, structured data, feeds, and API accessibility against what AI agents need.

  2. 2

    Report

    A concrete picture of the biggest gaps

    You get a concrete picture of where you stand now and what the biggest gaps are.

  3. 3

    Implement

    Implementing changes for agentic readiness

    Separate from the analysis: we build the changes that make you findable and transactionally ready.

Questions

What people often ask us

Starting point

Start at the beginning

Haven't had an audit yet? The Revenue Leak Audit is the starting point of the entire route.