Data architecture
How your first-party data is structured, stored, and exposed for retrieval by external systems.
Services / Strategy
AI answer engines and autonomous agents don't browse your site — they retrieve, reason over, and cite machine-readable signals. The Agentic Web Readiness Assessment scores exactly where your brand stands and maps the shortest path to full agent readiness.
What's included
IncludedTwelve dimensions of machine legibility, scored against what answer engines and agents actually consume — not vanity SEO metrics.
How your first-party data is structured, stored, and exposed for retrieval by external systems.
Whether your brand, products, and people resolve to clean, unambiguous entities across the web.
Schema.org coverage, validity, and depth — the vocabulary machines read first.
APIs, feeds, and structured interfaces autonomous agents can query and transact through.
How it works
A focused engagement — typically two weeks from kickoff to roadmap.
Crawl, audit, and instrument: we map your data, entities, markup, and agent touchpoints as they exist today.
Every dimension gets a machine-readability score benchmarked against category leaders and answer-engine behavior.
You receive a phased implementation plan — quick wins first, structural investments sequenced by impact.
Before you build.
Most assessments complete within two weeks. You get a readout call plus a written roadmap you can execute with us or in-house.
No. A traditional SEO audit optimizes for human click-through from search results. This scores how machines retrieve, understand, and cite your brand — a different surface with different rules.
A scored report across twelve dimensions, a gap analysis against competitors, and a phased roadmap with effort estimates.
Make the next move yours.