[Brand Name]: LLM Visibility Audit


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[Brand Name]: AI Visibility Audit

This is your personal AI report – a glimpse into the mind of artificial intelligence. It reveals what today’s leading AIs know about your brand – and how likely they are to recommend it. Keep in mind: the results of this report reflect how much AI knows about your brand. Some insights might hit the mark, others may miss – it all comes down to what it has learned.

So dive in, explore the results, and if something feels off, surprising, or just plain fascinating – let’s talk.
Just reply to this email or visit us.

Enjoy the report.
Your friends at can’t eat money

Overall Visibility Score

Combined score across all LLM responses.

[score] / 10
[score_pct]%

[verdict]

1. Awareness & Usage

Tests whether the model knows the brand, recognises its competitors, and understands when and why people would choose it. This reveals baseline visibility and real-world relevance.

Visibility Score Breakdown

Sub-scores driving the total.

General Awareness

[ga_score]

Competitive Context

[cc_score]

Use & Recommendation

[ur_score]

Associations & Positioning

[ap_score]

Sentiment & Perception

[sp_score]

Comparative Score Table

How each model scored you.

Model Aware Comp. Use Assoc. Sent. Overall
ChatGPT
Claude
Gemini
Average [avg_overall]


General Awareness

Shows if AI even knows the brand exists.

[score_pct]%
  • Insight A1.
  • Insight A2.

Competitive Context

Shows who the brand is compared to and how it stacks up.

[score_pct]%
Model Top Competitors Rank
ChatGPT Comp A,B,C 4th

Competitor Leaderboard

  1. Triodos Bank
  2. Amalgamated Bank
  3. Co-operative Bank
  4. GLS Bank

GLS ranks consistently just below top-tier players across all LLMs.

Use & Recommendation

Tells when and why the brand is suggested.

[score_pct]%
  • Use X.
  • Rec Y.

2. Positioning & Sentiment

Uncovers what the model believes about the brand—its values, personality, emotional tone, and perceived strengths or weaknesses. Shows if the brand is distinct, admired, or misunderstood.

Associations & Positioning

Shows what the brand stands for and what it’s known for.

[score_pct]%
  • Keyword.
  • Persona.

Industry Recall

Tells if the brand shows up in lists of top brands in the field.

[score_pct]%

Semantic Anchoring

Lists the words and feelings most linked to the brand.

[score_pct]%
Words Emotions
Word 1 Emotion 1
Word 2 Emotion 2
Word 3 Emotion 3
Word 4 Emotion 4
Word 5 Emotion 5

Words

Sentiment Analysis

Shows if the tone about the brand is more positive or negative.

[score_pct]%

3. Effectiveness & Target Group

Checks how up-to-date the model is on the brand’s latest moves and whether it still reflects a consistent brand personality that matches the targeted customer group. Ensures both newsworthiness and timeless identity are intact.

Freshness & Topical Recall

Checks if AIs remember anything new the brand has done and how it is associated with relevant topics.

[score_pct]%
Topic 1 Topic 2 Topic 3
Topic 4 Topic 5 Topic 6

Behavioral Context

Shows what situations or lifestyles the brand fits into.

[score_pct]%

Brand Archetype Alignment

Describes what kind of “character” the brand feels like (e.g. Hero, Rebel).

[score_pct]%

4. Comparative Bias & Error Control

Reveals which brands the model prefers in direct comparison, how reliably it recalls the brand in open prompts, and whether it confuses or misrepresents it. Identifies both strengths and risks.

Comparative Bias

Explains when AIs prefer this brand—or another one.

[score_pct]%

Zero-Shot Recall

Checks if the brand is mentioned without being asked about.

[score_pct]%

Geographic Perception

Shows where the brand is seen as strong—local, national, or global across various markets and languages.

Germany

85%

Austria

70%

UK

40%

USA

35%

Asia

10%

Hallucination Check

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