AI discovery revenue intelligence

Know whichAI-assisted buyingconversationsyou are losing.

AnswerSignal shows B2B software companies when AI assistants recommend them, why competitors win, what information is wrong, and which actions may improve visibility and pipeline.

Transparent methodology Customer-approved questions No guaranteed-ranking claims

01

Recommendation

Are you in the answer?
03

Evidence

Why did they win?

Observed answers Commercial decisions

Recommendation gap

8% vs 39%Your brand compared with the category leader

Brand accuracy

2 outdated claimsProduct information that may weaken consideration

Source pattern

3 recurring sourcesExternal pages repeatedly supporting competitors

Illustrative data

The commercial problem

Your buyers may form a shortlist before they visit your website.

Traditional rankings do not show whether your company is included, accurately represented, or supported by the sources AI assistants use.

01

Shortlist risk

If your brand is absent from an AI-generated comparison, it may never enter the buyer’s evaluation set.

02

Competitive blindness

You can see a competitor win without knowing which questions or external sources created the advantage.

03

Brand inaccuracy

Outdated pricing, integrations, or positioning can disqualify your product before sales is contacted.

04

Weak attribution

AI referrals are often incomplete or grouped as direct traffic, hiding their commercial contribution.

What AnswerSignal reveals

From an opaque answerto a clear commercial decision.

We combine answer observations, competitive source analysis, brand-accuracy checks, website readability, and transparent attribution.

Explore the methodology
01

Recommendation share

Where your company enters the answer—and where it disappears.

02

Competitor advantage

Which rivals win comparison and purchase-stage questions.

03

Influential sources

The publications, directories, and documentation shaping answers.

04

Incorrect claims

The outdated or unsupported facts that create brand risk.

05

Priority actions

What content, technical, positioning, or authority work comes next.

06

Commercial signals

How identified and self-reported discovery connects to leads and pipeline.

Sample AI Discovery Revenue Audit

See the evidence, interpretation, and 90-day action plan.

Explore a complete fictional audit for Aster TalentOS. It shows how AnswerSignal moves from buyer questions and observed answers to commercial implications, priorities, and accountable next steps.

Download the sample report PDF · 16 pages · Fictional company and data
Executive summaryPage 03 / 16
Page 3 of the AnswerSignal sample report: Executive summary
3 of 16Open full report

WHAT THE SAMPLE CONTAINS

75buyer questions
4AI systems
5competitors
90day action plan
  1. 01Buyer-question map
  2. 02Visibility benchmark
  3. 03Competitive analysis
  4. 04Brand-accuracy review
  5. 05Website readability review
  6. 06Citation opportunity map
  7. 07Attribution plan
  8. 0890-day action plan

YOUR AI DISCOVERY REVENUE AUDIT

A complete baseline your marketing team can act on.

Includes a leadership PDF, evidence workbook, findings presentation, and one follow-up working session.

€995One-time · 5–7 business days

Request your audit

How it works

A transparent workflow from buyer question to business action.

01

CURRENT STEP

Define

Agree the audience, markets, competitors, and customer-approved buyer questions.

1 / 5

Every observation carries its context.
Platform, model, date, market, language, question, and relevant configuration are recorded. Important tests are repeated to reduce single-answer noise.

Read the limitations

Start with your market

See where your company appears—and where competitors take the shortlist.

We’ll review 15–20 relevant buyer questions and select two or three commercially important findings for a focused conversation.

No instant score. No guaranteed ranking. Just evidence you can examine.

Free, tightly limited prospect snapshotRequest your snapshot Tell us about your market and the buyer questions that matter.

Questions and limitations

Clear answers before you commit.

Can you guarantee our company will be recommended?

No. AnswerSignal measures observed answers and recommends accurate, evidence-backed improvements. It does not control AI systems or guarantee placement.

Which AI systems do you test?

Coverage is agreed before the audit based on your market, language, and customer journey. Every observation records the relevant platform, model, date, market, and question.

Is one AI answer reliable evidence?

No. Important questions are observed repeatedly because answers can vary with wording, time, location, model, and session context.

Do you need access to our systems?

The audit can begin with public product information and customer inputs. Read-only analytics, search, or CRM access is optional and used only when attribution work is in scope.

What happens after the audit?

You receive the evidence, a prioritized 90-day action plan, a findings presentation, and one follow-up call. Monitoring is offered only where recurring decisions justify it.