Tool · AI Visibility Audit

Are you the consensus answer?

Enter a company - real agents run its category's questions through live AI engines and the open web, measure whether it surfaces, and score the full nine-pillar model behind a Tier-0 technical gate. Give them a minute or two.

Best for local or regional businesses - we localize the buyer questions (e.g. “best X in your region”). For a national or global category, leave this blank.
Real agents run this live. Give them 2-4 minutes. Keep this tab open. We'll email you the scorecard when it's done.

How the scan works

Buyers ask ChatGPT, Perplexity, and Gemini to recommend a vendor - and the engine names a short list before they ever hit a website. If you’re not in that list, you’re not in the deal. Here’s exactly what the scan measures.

Why this matters
44%

of B2B SaaS companies score below 50 on AI visibility. Less than half are visible to AI-assisted buyers, and mention rate and position carry 60 of the 100 points, which is exactly what this scan measures.

DerivateX · State of AI Visibility in B2B SaaS, 2026 (via Demand Gen Report) ↗

01 · Access
Can AI crawl, render & index you?
02 · Understanding
Does AI know who you are?
03 · Inclusion
Does AI actually name you?
One audit, the whole funnel - the Tier-0 access gate and the measured authority scorecard, in one run above.
✕ Most AI-visibility tools
“How visible is Acme?”
Your name in the prompt guarantees the answer. Measures nothing.
✓ This scorecard
“Best tools for {your category}?” - blind, no name
We detect in code whether you surface, and who the engine names instead.
The rule behind every number: no evidence, no score.
The anchor · ~24% · measured

When a buyer asks the category question - do you come up?

Mention rate
How often you surface across blind questions
Share of voice
Your slice of every brand the engine names
Avg. position
Where you land when you do appear
Competitor field
Who it names instead - built by the model, not us

It’s a sample, not a reading - so it ships with a confidence interval. A measured zero (competitors surfaced, you didn’t) is a confident low, never confused with “no signal.”

The nine pillars, by weight - plus the Tier-0 gate

Each non-anchor pillar is scored only from evidence the scan actually found - or flagged “insufficient,” never guessed. Before any of it counts, a deterministic Tier-0 technical gate checks whether AI can even retrieve you (robots.txt, raw-HTML visibility, indexability) - a hard failure caps the whole score at 40, because authority you can’t retrieve is authority AI never sees.

AI Narrativeanchor
23.8%
Do you actually surface
Entity Authority
15.3%
Does AI know who you are
Content GEO (new)
15%
Retrieval-ready content, semantic relevance
Digital PR & Citation Network
11.9%
Earned mentions LLMs pick up
Category Content & Question Ownership
10.2%
Own the buyer questions
Proprietary Research & Knowledge Assets
8.5%
Assets others cite
Community & Customer Validation
6.8%
Reddit / G2 sentiment
Executive Authority
5.1%
Founder/exec POV, verifiable
Video & Multimedia
3.4%
Expert video transcripts

These are measurement weights (where you stand today) - deliberately separate from the investment model on the GEO operating-system page (where to spend effort).

You get a score, the gaps holding you back, and the highest-leverage fixes. v1 measures one engine (Claude + live web search); ChatGPT, Perplexity, Gemini & Grok per-engine breakdown is on the roadmap.

Free consultation
Run the tool. See the gap. Book a free call to fix it.

A free 30-minute consultation: we find the highest-impact place to put AI in your business, pressure-test your positioning and demand, and leave you with the plan - whether or not we work together.

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