Services / Strategy

Is your brand machine-legible?

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

Included

What the assessment measures.

Twelve dimensions of machine legibility, scored against what answer engines and agents actually consume — not vanity SEO metrics.

01

Data architecture

How your first-party data is structured, stored, and exposed for retrieval by external systems.

02

Entity architecture

Whether your brand, products, and people resolve to clean, unambiguous entities across the web.

03

Semantic markup

Schema.org coverage, validity, and depth — the vocabulary machines read first.

04

Agent endpoints

APIs, feeds, and structured interfaces autonomous agents can query and transact through.

How it works

From current state to agent-ready.

A focused engagement — typically two weeks from kickoff to roadmap.

01

Discover

Crawl, audit, and instrument: we map your data, entities, markup, and agent touchpoints as they exist today.

02

Score

Every dimension gets a machine-readability score benchmarked against category leaders and answer-engine behavior.

03

Roadmap

You receive a phased implementation plan — quick wins first, structural investments sequenced by impact.

Before you build.

Questions, answered.

How long does the assessment take? +

Most assessments complete within two weeks. You get a readout call plus a written roadmap you can execute with us or in-house.

Is this an SEO audit? +

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.

What do we get at the end? +

A scored report across twelve dimensions, a gap analysis against competitors, and a phased roadmap with effort estimates.

Make the next move yours.

Start with the architecture,
not a generic package.

Tell us where your growth system breaks