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Features

Coverage Score

How many of your tracked entities — brand and competitors — appear across AI responses.

Understanding Coverage Score

Coverage Score measures how often your tracked entities are detected across AI responses.

It is not a measure of answer quality, accuracy, or completeness. It tells you whether the entities you care about — your brand and your tracked competitors — are appearing at all in AI-generated responses.


How Coverage Score Works

When you create a brand, AIVIS builds a Truth Snapshot that contains your brand information.

Part of that snapshot includes:

  • Your brand
  • Your tracked competitors

For example:

Entity TypeEntity
BrandAIVIS
CompetitorProfound
CompetitorPeec AI
CompetitorAthenaHQ
CompetitorHall

These become your expected entities.


During every scan

Each AI response is analyzed.

AIVIS checks whether any of your expected entities appear in the response.

Example response:

"AIVIS is an AI visibility platform competing with Profound."

Detected entities:

  • ✅ AIVIS
  • ✅ Profound
  • ❌ Peec AI
  • ❌ AthenaHQ
  • ❌ Hall

Coverage Score:

Detected entities = 2

Expected entities = 5

Coverage Score = 40%

What Coverage Score Does NOT Measure

Coverage Score does not measure:

  • Whether the AI answer is correct
  • Whether the answer is complete
  • Whether your brand is ranked first
  • Whether AI recommends your brand
  • Whether AI likes your product

Those are measured separately by other KPIs.

Coverage only answers:

How many of the entities we track actually appeared across AI responses?


Why Your Coverage Score Might Be Low

A low Coverage Score does not necessarily mean something is broken.

Several factors influence it.


1. Your prompts

Different prompts produce different responses.

Example:

Prompt:

What is AIVIS?

The AI may only mention:

  • AIVIS

Coverage:

Brand


Competitors





20%

This is expected.


Prompt:

Compare AIVIS with Profound and Peec AI.

The AI is much more likely to mention competitors.

Coverage increases naturally.


2. Your competitor list

Coverage only tracks the competitors stored in your Brand Hub.

If your competitors are configured as:

  • Moz
  • Ahrefs
  • SEMrush
  • Brandwatch

…but AI actually compares you with:

  • Profound
  • Peec AI
  • AthenaHQ

Coverage will remain low because AI is not mentioning the competitors you chose to track.


3. Brand maturity

New brands are often mentioned alone.

As your company becomes better known, AI is more likely to discuss your brand alongside competitors.

Coverage generally increases over time.


4. Prompt diversity

Running similar prompts repeatedly usually produces similar entity coverage.

Running a wider range of prompts helps measure visibility across different contexts.

Examples:

  • What is AIVIS?
  • Best AI visibility platforms
  • GEO software
  • Alternatives to AIVIS
  • Compare AIVIS vs Profound
  • Enterprise AI brand monitoring

A broader prompt set produces a more representative Coverage Score.


How to Improve Coverage Score

Review your tracked competitors

Open:

Brand Hub → Competitors

Ask yourself:

  • Are these my real competitors?
  • Are these the companies AI actually compares me against?
  • Are these still current?

Update the list whenever your competitive landscape changes.


Expand your prompt library

Avoid measuring your brand using only one type of prompt.

Include:

  • Informational prompts
  • Comparison prompts
  • Category prompts
  • Buying-intent prompts
  • Alternative-search prompts

This gives AI more opportunities to mention tracked entities.


Improve your market positioning

Coverage improves naturally when AI consistently associates your brand with your market.

Examples include:

  • Publishing authoritative content
  • Earning citations
  • Appearing in comparisons
  • Building topical authority
  • Becoming associated with your product category

Interpreting Coverage Score

CoverageInterpretation
0–20%Only a small number of tracked entities are appearing across AI responses.
21–40%Some tracked entities are visible, but AI rarely discusses your broader competitive landscape.
41–60%Moderate entity coverage. AI recognizes your brand and some competitors across multiple prompts.
61–80%Strong visibility across tracked entities. Your brand consistently appears within its competitive context.
81–100%Excellent entity coverage. AI regularly references both your brand and your tracked competitors across your prompt library.

These ranges are guidelines rather than strict pass/fail thresholds.


Best Practices

  • Track only meaningful competitors.
  • Keep your competitor list up to date.
  • Use a diverse prompt library.
  • Measure trends over time rather than focusing on a single scan.
  • Compare Coverage Score alongside Visibility Score, Accuracy Score, and Citation Score for a complete picture.

Frequently Asked Questions

Why is my Coverage Score only 20%?

Usually because only your brand was detected while none of your tracked competitors appeared in the AI responses.


Does a low Coverage Score mean AI answered incorrectly?

No.

An AI response can be completely accurate while still mentioning only your brand.

Coverage measures entity visibility, not answer quality.


Should I change my competitors after every scan?

No.

Your competitor list should represent your real market, not every brand AI happens to mention.

Review it periodically as your market evolves, but avoid changing it simply because one scan referenced different companies.


Why do different prompts produce different Coverage Scores?

Different prompts encourage AI to discuss different aspects of your business.

Comparison and category prompts are more likely to mention competitors than simple brand-definition prompts.

This is why AIVIS measures Coverage across your entire prompt library rather than relying on a single response.


Summary

Coverage Score measures entity visibility.

It tells you how frequently your brand and the competitors you choose to track appear across AI responses.

A high Coverage Score means AI consistently places your brand within the competitive landscape you care about.

A low Coverage Score does not necessarily indicate poor AI answers — it often reflects prompt selection, competitor configuration, or the current visibility of your brand within your market.