AI Visibility Assessment

Know where your AI visibility breaks, and what to build next.

SIGNAL diagnoses the buyer-journey queries that matter, shows where your brand drops out, audits the signals shaping retrieval, and turns that into a clear content and entity roadmap.

Request assessment → See what's in the report

AI Visibility Score

Citation coverage across buyer-stage queries

Entity Clarity Score

How clearly AI models represent your brand

Buyer-stage coverage

Where your brand appears along the journey, and where it disappears

signal-report / sample / full-report /

SIGNAL · AI Visibility Report

Sample Co — Revenue Intelligence

SAMPLE · ILLUSTRATIVE DATA ONLY

AI Visibility
Score

6.2

Entity
Clarity

3/5

Stage
Coverage

best revenue intelligence tools for mid-market sales

0.78

AI tools that forecast churn from sales signals

0.00

alternatives to Gong for smaller sales teams

0.54

how to build pipeline visibility across CRM tools

0.00

Illustrative sample

Why it matters

You can't monitor your way to the right query list.

First you need to know which buyer-stage questions matter, where your brand is weak, and what to fix first. That's what SIGNAL does.

The shift

Buyers increasingly use AI to research software categories before they consider vendors. The brand named in those early responses has a meaningful head start.

The gap

AI citation doesn't follow the same patterns as search ranking or review site presence. The signals that drive AI visibility are distinct, and most teams haven't mapped them.

What SIGNAL does

SIGNAL shows where your brand appears in AI-generated responses and where it doesn't — across the queries your buyers run at every stage of the journey. The output is a ranked set of gaps with a clear starting point for each.

The Behaviour Change

"With AI, we use a technique called query fan-out … We'll issue many queries behind the scenes. Content that will thrive is content that will do a great job on some aspect of that."

Liz Reid, VP of Search, Google Speaking at IAB ALM, February 2026

What SIGNAL measures

Three dimensions of AI presence.

SIGNAL maps AI presence across three dimensions — where you appear, how you're understood, and where competitors are named instead of you.

Score

Visibility

Where your brand appears across AI-generated responses — by buyer stage, intent type, and engine — and how that coverage compares to competitors in the same queries.

1–10

Score

Entity clarity

How consistently AI models understand your product: the category it belongs to, the problems it solves, and the buyers it serves.

1–10

Signal

Competitive position

Where competitors appear in queries you don't, which frames they own, and which gaps represent the highest-value opportunities to close.

ranked

What you receive

From diagnosis to action.

A scored diagnostic with ranked priorities your team can act on immediately. Optional briefs for your highest-impact gaps.

◎

Assessment & Web Report

A scored diagnostic showing exactly where you appear in AI responses, where you don't, and what's worth fixing first. Delivered as a clean web report — a focused view for stakeholders and a complete version for the team doing the work.

Scored and prioritised Buyer-stage breakdown Shareable with stakeholders

▤

Execution Briefs

Optional add-on

Writer-ready briefs for your highest-priority gaps. Each one translates a ranked opportunity into a clear starting point — intent, framing angle, must-answer questions — so your team can begin immediately.

One brief per priority gap Ready for writers or AI tools Same-session delivery

↗

Implementation Support

Optional add-on

Strategic guidance on acting on the assessment: which gaps to close first, what kind of content addresses each opportunity, and how to build a repeatable baseline for tracking progress over time.

Prioritisation guidance Repeatable baseline Quarterly track option

Diagnose › Prioritise › Brief › Act

SIGNAL is designed to move quickly. Ranked gaps can be handed to writers the same day. Execution briefs provide a starting point so teams can act on the findings without needing to interpret the report first.

Who it's for

Built for teams that own the narrative.

SIGNAL is most useful when someone owns the outcome, not just the metrics.

B2B SaaS teams

For B2B SaaS teams, from earlier-stage challengers to more established category players, that need a clearer view of how AI systems understand the brand, where visibility holds, where it drops out, and what to fix first.

Agencies

For agencies working with B2B SaaS clients across strategy, content, and growth. SIGNAL helps strengthen existing client engagements, surface clearer opportunities, and give new business conversations a more tangible diagnostic starting point.

What SIGNAL is not

Not another dashboard. Not another SEO audit.

SIGNAL is an assessment-led diagnostic designed to show how AI systems currently understand your brand, where that understanding breaks across the buyer journey, and which content and entity gaps matter most right now.

Monitoring can show whether selected prompts move over time. SIGNAL helps you decide what is worth fixing, what is worth publishing, and what may be worth monitoring later.

The benchmark question

If a buyer asked an AI assistant which tool to consider in your category, would your name appear?

Most teams don't have a clear answer. SIGNAL gives you one, and a ranked set of priorities to improve it.

Request assessment →

Get in touch

Start with the diagnosis.

Before you invest in tracking, make sure you understand which buyer-journey queries matter, where your brand is weak, and what to build next.