Ai visibility local

Report

Run: bc465278 · Project: metabase-bi-test-v1 · Brand: Metabase

Generated: 2026-02-16T21:15:31.847194Z · 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)

69.2

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)	75.0%
Brand absent rate (customer entity only)	25.0%
Brand missing answers	5
Displaced when brand missing (of missing)	3 (60.0%)
Displacement rate (customer entity only)	15.0%
Displaced when brand missing	3 (15.0%)
Displaced despite brand mentioned	0 (0.0%)
Average strength score (customer entity only)	31.0
Mentions with competitors	70.0%
Evidence coverage	75.0%
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	8158	9569	$0.017863
openai	717	1499	2216	$0.001007
gemini	694	6659	7353	$0.016856

By provider

Provider	Answers fetched	Brand rate	Displaced rate	Avg strength	Mentions with competitors
gemini	10	100.0%	0.0%	44.0	70.0%
openai	10	50.0%	30.0%	18.0	70.0%

Your brand scorecard

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

Entity	Answers	Brand rate	Displaced rate	Avg strength
Metabase	20	75.0%	15.0%	31.0

Competitors scorecard

Competitor entities only.

Competitor	Answers	Brand rate	Displaced rate	Avg strength
looker	20	70.0%	20.0%	23.0
power bi	20	65.0%	25.0%	19.0
tableau	20	60.0%	30.0%	24.0

Competitive pressure

Top competitors overall

Competitor	Count
Metabase	45
looker	42
power bi	39
tableau	36

Top competitors when brand missing

Competitor	Count
Metabase	13
looker	6
power bi	3
tableau	2

Risk highlights (Buyer Discovery)

Top displaced

#	Provider	Entity	Competitors	Question	Open
3	openai	looker	Metabase	What are some integrations available for Metabase?	View
3	openai	power bi	Metabase	What are some integrations available for Metabase?	View
3	gemini	tableau	Metabase, looker	What are some integrations available for Metabase?	View
3	openai	tableau	Metabase	What are some integrations available for Metabase?	View
4	openai	Metabase	looker, power bi	What are the best alternatives to Looker for business intelligence?	View
5	gemini	looker	Metabase	Can you list alternatives to MySQL for business intelligence?	View
5	gemini	power bi	Metabase	Can you list alternatives to MySQL for business intelligence?	View
5	gemini	tableau	Metabase	Can you list alternatives to MySQL for business intelligence?	View
6	openai	Metabase	looker	What are some comparable tools to dbt in the analytics space?	View
6	gemini	looker	Metabase	What are some comparable tools to dbt in the analytics space?	View

Top low strength mentions

#	Provider	Entity	Strength	Question	Open
0	gemini	Metabase	20.0	What are some comparable platforms to Power BI?	View
0	openai	Metabase	20.0	What are some comparable platforms to Power BI?	View
1	gemini	looker	20.0	Can you list BI tools that are alternatives to Metabase?	View
1	openai	looker	20.0	Can you list BI tools that are alternatives to Metabase?	View
1	gemini	power bi	20.0	Can you list BI tools that are alternatives to Metabase?	View
2	openai	Metabase	20.0	Can you suggest some tools similar to Tableau?	View
2	gemini	looker	20.0	Can you suggest some tools similar to Tableau?	View
2	gemini	power bi	20.0	Can you suggest some tools similar to Tableau?	View
3	gemini	looker	20.0	What are some integrations available for Metabase?	View
3	gemini	power bi	20.0	What are some integrations available for Metabase?	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 15.0%

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

Examples:
- What are some integrations available for Metabase?
- What are some integrations available for Metabase?
- What are some integrations available for Metabase?
Increase strength of brand mentions

Average strength score is 31.0

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

Examples:
- What are some comparable platforms to Power BI?
- What are some comparable platforms to Power BI?
- Can you list BI tools that are alternatives to Metabase?

Recommendations (Brand-Aware)

No brand-aware recommendations yet.