Signal Harbor

Methodology

How Signal Harbor measures AI visibility.

AI answers change over time, so a single screenshot is not enough. We run structured, repeated measurements, classify the sources shaping answers, verify claims, and translate findings into a practical plan.

How it works

Seven steps, repeated over time.

  1. 1

    Define the buyer prompt universe

    Prompt sets built around category, comparison, alternative, local, and objection questions.

  2. 2

    Run repeated measurements

    Test across selected AI systems over a window to observe patterns, not isolated outputs.

  3. 3

    Extract mentions and citations

    Capture whether you appear, which competitors appear, which domains are cited, and what the answer claims.

  4. 4

    Classify source types

    Group sources into owned, earned, reviews, directories, social, partner, competitor, or unknown.

  5. 5

    Score visibility and influence

    Separate basic presence from answer influence.

  6. 6

    Verify claims

    Flag unsupported, outdated, or incorrect AI statements for correction.

  7. 7

    Translate findings into actions

    Content, source, schema, and messaging fixes tied to observed gaps.

Measurement

Clear metrics, tied to action.

We report the signals that influence AI answer visibility in terms executives can act on. The values below are sample data for illustration, not client results.

AI visibility score

0/ 100▲ +9 pts (sample)

Illustrative trend across repeated re-audits.

Mention share58%
Citation source quality64%
Claim accuracy rate81%
Competitor displacement12%
Action completion: 7 / 9Re-audit movement: +9 ptsPrompts tested: 120+

AI visibility is measurable and influenceable, not fully controllable. Results vary by model, prompt wording, location, source availability, and time.

Deliverables

A stack of executive-ready artifacts.

Built for decisions and execution, with every finding tied to the prompts and sources behind it. Previews below use sample data.

68

Executive Scorecard

Prompt Performance Matrix

AI Answer Evidence Packet

Citation Map

Accuracy / Hallucination Register

Content Gap Plan

Vendor Accountability Notes

Prioritized Action Roadmap

The research behind the method.

See the external references that inform how we test and measure, read the plain-language guide to AI visibility, or review what the full audit covers.