Thunderdome B2B SaaS AI Visibility Index

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Brand report · July 2026

Redash Redash: AI Visibility Report

redash.io ↗

When buyers ask ChatGPT, Claude, and Gemini about bi & data analytics, Redash ranks #14 of 15, a Visibility Score of 6 in BI & Data Analytics .

These rankings are measured from what the three models know from training, not a live web search. The live-web grounded surface is rolling out across the index. Methodology.

How AI sees Redash

Alive only in budget searches; invisible everywhere else that matters.

Where it wins. Redash holds a foothold in budget and alternatives prompts, where its 8.3% mention rate keeps it barely on the radar alongside Metabase and Superset.

Where it loses. A 0% first-pick rate and absence from five major prompt themes, including best overall and enterprise pick, mean AI models treat Redash as a fallback name rather than a recommendation.

AI-generated analysis of the July 2026 measurements.

On message

How Redash positions itself vs how AI ranks it

Redash claims BI & Data Analytics and the models back it: #14 of 15 there.

The pitch

"Redash helps you make sense of your data"

Positions in BI & Data Analytics
What AI actually says
In BI & Data Analytics #14 of 15, claim holds

Homepage self-messaging · July 2026 ranking · the biggest gaps across the index →

BI & Data Analytics · #14 of 15

6 / 100 first snapshot (July 2026)
8%
mention rate (72 answers)
4
avg. position
0%
first pick
1%
share of voice
First snapshot: July 2026. The trend line appears with the second monthly measurement; no modeled history.
ChatGPT
4
Claude
13
Gemini
0
Prompt themes Redash would want to own

Share of each theme's answers that mention Redash. Hover a row for the exact prompt. Compare shapes on the head-to-head page.

Gaps Best overall · Top tools in 2026 · Startup & small team · Enterprise pick · If you could pick one

Most co-mentioned competitors
Metabase
100%
Power BI
67%
Superset
67%
Looker Studio
50%
Looker
50%
Sigma
50%

Share of Redash's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.

Scores are measured from real AI answers, refreshed monthly. Methodology.

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