Ai visibility local

Report

Run: bf82c65b · Project: metabase-assessment-2 · Brand: Metabase

Generated: 2026-02-16T19:47:47.974508Z · Status: succeeded

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AI Visibility Score (Buyer Discovery)

Measures how often your brand appears in non-branded, category-level AI answers, before a user knows you exist.

Score (0–100)

72.8

Formula: 0.5*brand_rate + 0.3*(100-displacement_rate) + 0.2*avg_strength, clamped 0..100

Primary score uses unbranded (buyer discovery) only. Unbranded fetched: 20 · Branded fetched: 0

What this means

Higher is better: you are present more often, displaced less often, and when you are present your mention is stronger.

Brand-Aware AI Performance

Measures how AI systems describe and position your brand when users search for it directly.

Branded performance does not affect the primary visibility score.

Score (0–100)

0.0

Formula: 0.5*brand_rate + 0.3*(100-displacement_rate) + 0.2*avg_strength, clamped 0..100

What this means

This reflects brand-aware queries only. Use it to validate positioning on branded evaluation questions.

Kpis

In neutral mode, headline KPIs use run-item customer rows (denominator: 20).

This report separates buyer-discovery (unbranded) from brand-aware (branded) queries. Primary score uses unbranded only.

Metric	Value
Answers fetched (total)	20
Unbranded answers fetched (primary)	20
Branded answers fetched (secondary)	0
Customer KPI rows (unbranded only)	20
Brand mention rate (customer entity only)	80.0%
Brand absent rate (customer entity only)	20.0%
Brand missing answers	4
Displaced when brand missing (of missing)	2 (50.0%)
Displacement rate (customer entity only)	10.0%
Displaced when brand missing	2 (10.0%)
Displaced despite brand mentioned	0 (0.0%)
Average strength score (customer entity only)	29.0
Mentions with competitors	75.0%
Evidence coverage	80.0%
Errors	0

Coverage summary

Metric	Value
Expected items	20
Fetched items	20 (100.0%)
Analyzed items	20 (100.0%)
Successful items	20
Failed items	0
Partial completion	no

Error summary

Total errors: 0 · Error rate: 0.0%

No run-item errors recorded.

Run cost estimate

Scope	Input tokens	Output tokens	Total tokens	Estimated cost (USD)
Total	1411	8264	9675	$0.018038
openai	717	1546	2263	$0.001035
gemini	694	6718	7412	$0.017003

By provider

Provider	Answers fetched	Brand rate	Displaced rate	Avg strength	Mentions with competitors
gemini	10	100.0%	0.0%	38.0	70.0%
openai	10	60.0%	20.0%	20.0	80.0%

Your brand scorecard

Customer entities only (this should typically be just your brand).

Entity	Answers	Brand rate	Displaced rate	Avg strength
Metabase	20	80.0%	10.0%	29.0

Competitors scorecard

Competitor entities only.

Competitor	Answers	Brand rate	Displaced rate	Avg strength
looker	20	75.0%	15.0%	22.0
power bi	20	70.0%	20.0%	20.0
tableau	20	65.0%	25.0%	23.0

Competitive pressure

Top competitors overall

Competitor	Count
Metabase	48
looker	45
power bi	42
tableau	39

Top competitors when brand missing

Competitor	Count
Metabase	10
looker	5
power bi	2
tableau	1

Risk highlights (Buyer Discovery)

Top displaced

#	Provider	Entity	Competitors	Question	Open
2	openai	Metabase	looker	What are some comparable tools to dbt in the analytics space?	View
2	gemini	looker	Metabase	What are some comparable tools to dbt in the analytics space?	View
2	gemini	power bi	Metabase	What are some comparable tools to dbt in the analytics space?	View
2	openai	power bi	looker	What are some comparable tools to dbt in the analytics space?	View
2	gemini	tableau	Metabase	What are some comparable tools to dbt in the analytics space?	View
2	openai	tableau	looker	What are some comparable tools to dbt in the analytics space?	View
3	gemini	looker	Metabase	What are the best alternatives to Postgres for analytics?	View
3	gemini	power bi	Metabase	What are the best alternatives to Postgres for analytics?	View
3	gemini	tableau	Metabase	What are the best alternatives to Postgres for analytics?	View
5	openai	Metabase	looker, power bi	What are some other business intelligence tools like DBT?	View

Top low strength mentions

#	Provider	Entity	Strength	Question	Open
0	gemini	looker	20.0	Can you list BI tools that are alternatives to Metabase?	View
0	openai	looker	20.0	Can you list BI tools that are alternatives to Metabase?	View
0	gemini	power bi	20.0	Can you list BI tools that are alternatives to Metabase?	View
0	gemini	tableau	20.0	Can you list BI tools that are alternatives to Metabase?	View
1	openai	Metabase	20.0	Can you list some BI tools that excel in data integration?	View
1	gemini	looker	20.0	Can you list some BI tools that excel in data integration?	View
1	gemini	power bi	20.0	Can you list some BI tools that excel in data integration?	View
1	gemini	tableau	20.0	Can you list some BI tools that excel in data integration?	View
3	gemini	Metabase	20.0	What are the best alternatives to Postgres for analytics?	View
4	gemini	Metabase	20.0	Can you suggest some tools similar to Tableau?	View

Risk highlights (Brand-Aware)

Top displaced

No displacement detected for branded queries.

Top low strength mentions

No low-strength mentions detected for branded queries.

Recommendations (Buyer Discovery)

These are generated from the same fields you already store (brand_mentioned, displacement, strength_score, evidence_snippet, competitor mentions).

Reduce displacement on evaluation queries

Displacement rate is 10.0%

Create or strengthen comparison and 'best X' pages with concise reusable proof points (pricing signals, integrations, outcomes).

Examples:
- What are some comparable tools to dbt in the analytics space?
- What are some comparable tools to dbt in the analytics space?
- What are some comparable tools to dbt in the analytics space?
Increase strength of brand mentions

Average strength score is 29.0

Make differentiators explicit and consistent across core pages (who it is for, what it replaces, quantified outcomes, integrations, implementation time).

Examples:
- Can you list BI tools that are alternatives to Metabase?
- Can you list BI tools that are alternatives to Metabase?
- Can you list BI tools that are alternatives to Metabase?

Recommendations (Brand-Aware)

No brand-aware recommendations yet.