AI Visibility Snapshot

See what AI thinks your business is - before your buyers do

Marketing Directors at industrial B2B companies use the Snapshot when pipeline growth stalls despite effort, when AI systems filter buyers before contact, when visibility gaps cost deals you'll never see.

The Reality

Why this matters

For digital and commercial leaders in complex, technical B2B organisations.

AI systems now shape the first 70% of the buyer journey. Not as assistants - as filters.

Before anyone reaches your website, AI systems have summarised your category, shortlisted vendors, compressed offerings, and established confidence in information they've seen.

If AI systems misunderstand your business, hide your expertise, or misclassify your category, you lose deals long before sales is involved.

Procurement teams use AI to build vendor lists before RFPs. Engineers research via AI before supplier contact. Executives ask AI for market landscapes before engaging vendors.

This filtering happens pre-contact. If AI misinterprets you, buyers never know you exist.

This filtering accelerates through Q1 2026 as procurement teams adopt AI-first vendor discovery. Your competitors are identifying visibility gaps now.

The Snapshot reveals what AI currently believes about you - and what's preventing visibility.

For Context

This is for teams who need professional structural diagnosis

This isn't a free checker or surface visibility score. If you need professional structural diagnosis, this is it. If you want self-service measurement tools, explore the tools page instead.

A 48-72 hour machine-mode analysis revealing how Google AI Overviews, Perplexity, ChatGPT, and enterprise LLM systems interpret your website.

You'll see what AI believes you do, what it hides, where it gets confused, and which structural issues hurt your visibility.

Zero prep needed. Just the URL.

What You Get

What you receive

A structural, machine-mode analysis - not an SEO audit.

The Snapshot delivers:

AI-mode interpretation of your homepage, services, guides, and PDFs
Entity recognition - what AI thinks your business is
Cluster mapping - which topics have gravity, which are weak
Semantic density scoring across your core pages
Contradiction and ambiguity detection
PDF invisibility assessment
LLM parsability diagnostics
AI Overview inclusion/exclusion checks
Perplexity citation tests
Misclassification hotspots
Recommended fixes ranked by impact
Your AI Visibility Score

This is machine-mode structural analysis. Not keyword rankings. Not metadata checks. Not backlink counts.

The Snapshot tests how AI systems interpret your actual content structure.

The Analysis

What the Snapshot reveals

1. How AI systems see you

Your entity identity and perceived category

2. What AI hides or misinterprets

Missing entities and invisible content

3. Where your structural risks are

Thin pages and broken clusters

4. Your prioritised action plan

Fixes sorted by impact

Results

What happened when we ran this for an advanced materials manufacturer

One advanced materials manufacturer came to us with deep technical content but near-zero AI visibility. Their buyers ran evaluations before sales contact, but AI systems weren't surfacing their expertise.

The diagnostic revealed 47 specific structural issues - technical pages that didn't surface in AI search, product value buried in PDFs, CTAs asking for demos before buyers understood fit.

Within 30 days:

52% increase in search visibility across 45 tracked keywords
32% more new users reaching key evaluation pages
440% increase in CTA conversions
177% improvement in conversion rate per session

The compound effect: new buyers finding them AND converting when they do.

The analysis works for companies with:

Complex product portfolios requiring category clarity
Technical expertise trapped in PDFs
Ambiguous positioning across business units
Multi-market presence creating classification confusion
High-value deals where pre-contact filtering matters

Industrial B2B context requires understanding of technical terminology, product hierarchies, application specificity, and procurement processes. The Snapshot analysis accounts for these industrial realities.

Get Your Snapshot

The Difference

What the Snapshot does that tools can't

Traditional SEO audits:

Focus on rankings, keywords, metadata
Treat pages individually
Cannot detect contradictions
Cannot read PDFs structurally
Cannot model AI interpretation
Miss entity-level issues
No cluster architecture analysis

AI Visibility Snapshot:

Models AI system behaviour directly
Tests how LLMs interpret your content
Identifies entity conflicts
Measures semantic density
Maps cluster strength
Shows misclassification risks
Provides prioritised structural plan

AI Visibility tools (Meltwater, Semrush, etc):

Track citations and mentions
Provide visibility scores
Show trends over time
Cannot diagnose structural causes
Cannot identify entity conflicts
Cannot prioritise fixes

AI Visibility Snapshot:

Reveals WHY you're invisible
Identifies specific structural issues
Explains entity recognition failures
Prioritises fixes by impact
Provides actionable plan

Tools measure symptoms. The Snapshot diagnoses causes.

SEO audits check rankings. The Snapshot tests interpretation.

The Snapshot reveals what prevents AI systems from understanding, trusting, and representing you correctly.

Process

How it works

Step 1: You share the URL No preparation needed. No content inventories. No stakeholder interviews. Just the domain URL.

Step 2: We run the machine-mode analysis Across your core pages, guides, and PDFs. Testing entity extraction, cluster coherence, semantic density, interpretation accuracy.

Step 3: We validate real behaviour In AI Overviews, Perplexity, and LLMs. Not theoretical - actual AI system responses to buyer queries.

Step 4: You receive a clear report With prioritised plan. Specific findings. Actionable improvements. Sorted by impact.

Timeline: 48-72 hours depending on site structure and number of PDFs.

Investment

Get started

Your buyers use AI before websites. See exactly how visible you are in AI-mode buyer research.

Get the prioritised plan that closes structural gaps before Q1 2026 procurement cycles accelerate AI-first vendor discovery.

Know what AI believes about your business. Know what needs fixing. Get the surgical plan that creates visibility lift.

Questions

Frequently asked questions

How long does the Snapshot take?

48-72 hours depending on site structure and number of PDFs.

Does this fix our visibility?

No - the Snapshot diagnoses. It reveals the causes, risks, and structural issues preventing visibility. Implementation is separate.

Can our team implement the recommendations?

Yes. The Snapshot provides a structured plan your internal or external teams can execute. It's diagnostic documentation, not consulting dependency.

What if we want help fixing things?

We can support implementation, but it's optional. The Snapshot stands alone as a diagnostic. You decide how to proceed after receiving findings.

Is this an SEO audit?

No. It's a machine-mode structural analysis. SEO audits check metadata, rankings, and keywords. The Snapshot tests how AI systems interpret content structure, extract entities, build confidence, and classify categories.

How is this different from free AI visibility tools?

Tools track citations and visibility scores (symptoms). The Snapshot diagnoses structural causes - entity conflicts, cluster weaknesses, PDF invisibility, ambiguity sources. Tools show THAT you're invisible. Snapshot reveals WHY and prioritises fixes.

Do we need to prepare anything?

No. Just provide the URL. The analysis runs on existing content structure.

What format is the deliverable?

Structured report with findings, evidence, prioritised recommendations. Clear sections mapping to the 4-part output structure.

Next Steps

Start here

Or explore the AI Visibility Guides to understand the diagnostic framework.

AI Visibility Snapshot - 48-72 hour structural diagnostic revealing how AI systems interpret your business and what prevents visibility. Prioritised action plan included.