What is the AI Recommendation Readiness Diagnostic?

The AI Recommendation Readiness Diagnostic is a five-question self-assessment that identifies where a business is being filtered out of AI-generated shortlists. Each question maps to one stage of the recommendation eligibility pipeline: Recognition (consistent entity identity), Validation (external corroboration), Selection (competitive differentiation), Citation (structured content extraction), and Action (live data infrastructure). Results include a score out of 15, a primary bottleneck identification, and a stage-by-stage breakdown with a recommended next step.

Is the diagnostic free?

Yes. The diagnostic is free and takes under two minutes to complete. Results — including your score, primary bottleneck, and stage-by-stage breakdown — are shown immediately on completion. An email address is required to receive your results and to allow SEO Strategy Ltd to send the full score summary. No payment is required at any stage.

What do the five stages measure?

Stage 1 (Recognition) measures whether AI systems can confidently identify your business as a coherent, consistent entity across all sources they check. Stage 2 (Validation) measures whether independent, credible third-party sources confirm your expertise. Stage 3 (Selection) measures whether your competitive differentiation is explicit and machine-extractable. Stage 4 (Citation) measures whether your content is structured for AI extraction — schema markup, FAQ format, standalone section openings. Stage 5 (Action) measures whether AI agents can access live, current data about your business in real time.

What score means I am recommendation eligible?

A score of 13–15 out of 15 places a business in the Recommendation Eligible band — strong signals across all five pipeline stages. A score of 9–12 indicates Structurally Visible: the foundations are present but the business is not yet consistently chosen. A score of 5–8 indicates Partially Present: inconsistent appearance across queries with identifiable stage failures. A score of 0–4 indicates Not in the Room: structural exclusion from AI recommendation shortlists across most query types.

How does this diagnostic relate to the full guide?

The diagnostic maps directly to the five-stage framework in the full guide — How to Make LLMs Recommend Your Business. The guide provides the complete implementation detail for each stage, the walkthrough showing exactly why one business gets the callback and one does not, and the Fixing the Gaps section with stage-specific remediation steps. The diagnostic identifies which stage to prioritise; the guide provides the how.

SEO Strategy Ltd

AI Recommendation
Readiness Diagnostic

Five stages. Five questions. Two minutes. By the end, you’ll know exactly where your business is being filtered out — and what to fix first.

5 questions

~2 minutes

Immediate results

Stage 01 — Recognition

If AI had to decide whether your business exists as a clear, consistent entity — would it hesitate?

No hesitation — our name, category, and description are identical across our website, every directory, and all third-party platforms.

Mostly consistent — but we know there are some inconsistencies in how we’re described or categorised in certain places.

Unsure — we haven’t checked what AI sources actually see when they look for us.

It would hesitate — there are conflicts, gaps, or different versions of our business across different sources.

Inconsistent identity is one of the most common reasons businesses are excluded entirely — not ranked lower. When signals conflict, the system doesn’t guess. It drops you.

Stage 02 — Validation

Would independent sources confirm your expertise — without relying on your own website?

Yes — we appear in industry directories, have press mentions, professional registrations, and multiple third-party references that confirm what we do.

Partially — we have some external presence, but it’s thin or inconsistent across sources.

Minimal — most of what exists about us online is content we’ve published ourselves.

None — we have no meaningful external corroboration from credible third-party sources.

AI systems trust what others confirm, not what you claim. A business corroborated across multiple independent sources is a defensible answer. One that only appears on its own website is a risk.

Stage 03 — Selection

If AI compared you side-by-side with your three closest competitors — would your difference be obvious and defensible?

Yes — our positioning, specialism, and differentiation are explicit, consistent, and clearly structured across our site and external sources.

Partially — we know what makes us different, but it isn’t clearly structured or consistently stated in machine-readable terms.

Weak — our differentiation is implied in our content but not explicitly defined.

No — there is nothing that clearly distinguishes us from competitors in a way AI could extract and use.

If the system can’t explain why you, it won’t choose you. This is where most capable businesses fall out — not through lack of quality, but through lack of clarity.

Stage 04 — Citation

Can AI extract and reuse your key business information — without guessing?

Yes — we use schema markup, structured FAQs, and clearly formatted content designed around the questions our customers actually ask.

Partially — some content is well-structured, but most of our site is standard long-form text.

Minimal — our content is written well for human readers, but not structured for AI extraction.

No — we haven’t considered how AI systems read and extract information from our content at all.

Humans navigate content. AI extracts it. If your information isn’t structured for extraction, the system defaults to sources where it is. You become harder to recommend.

Stage 05 — Action

Could an AI system access live, reliable information about your business — right now?

Yes — we have APIs, live data feeds, or structured infrastructure that exposes current business information in real time.

In progress — we’re actively building toward this kind of infrastructure.

Not yet — but having read this, we understand why it’s going to matter.

No — this is the first time we’ve considered this as a business requirement.

This stage isn’t the priority today — but it will be within two years. AI is moving from answering questions to completing tasks. The businesses with live infrastructure will shape who gets used, not just recommended.

Almost there

Where should we send your results?

Your diagnostic is ready. Enter your details and we’ll show you your score, primary bottleneck, and the exact stage to fix first.

First name

Business name

Email address

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Your AI Recommendation Readiness Score

—

out of 15

Primary bottleneck

Stage-by-stage breakdown

Every gap above represents decisions you are not seeing. Customers are being filtered before they ever reach you — before your website is visited, before your reputation has a chance to speak.

Continue

This diagnostic is part of the How to Make LLMs Recommend Your Business content programme.

Read the full guide →