Analytics and BI
AI mentions in answer for 1 question: "What does the Analytics & BI industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry."
2025-12-30
62
Brands
128
Sources
1
Questions
5
AI Models
About This Report
This report was generated for brands and citations mentioned in answers about Analytics and BI from 5 AI models (namely: Perplexity Sonar (with search) (latest), Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest,
Google Gemini Flash (latest), X.AI Grok (latest)). AI models were asked the following questions:
- "What are the best Analytics & BI options available today? Please provide a comprehensive overview including: the leading brands and products, top companies and service providers, recognized experts and thought leaders, promising startups and new market entrants, major industry events and conferences, active communities and forums, and influential publications and media covering this space." (view report)
- "If I'm looking to get into Analytics & BI, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed." (view report)
- "What does the Analytics & BI industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry." (view report)
Brand Rankings
Brands mentioned by AI models, ranked by share of voice
| # | Brand | Voice | Position | Mentions | AI |
|---|---|---|---|---|---|
| 1 |
|
100.0%★
|
2★ | 10.5% (33)★ |
|
| 2 |
Gartner
organization
|
81.5%★
|
4★ | 12.5% (39)★ |
|
| 3 |
|
59.9%★
|
5★ | 8.6% (27)★ |
|
| 4 |
|
25.6%★
|
8★ | 5.1% (16)★ |
|
| 5 |
|
21.3%★
|
3★ | 2.9% (9)★ |
|
| 6 |
Snowflake
organization
|
15.0%★
|
12★ | 4.2% (13)★ |
|
| 7 |
Databricks
organization
|
14.9%★
|
12★ | 4.2% (13)★ |
|
| 8 |
|
8.7%★
|
13★ | 2.6% (8)★ |
|
| 9 |
Towards Data Science
product
|
5.5%★
|
23★ | 1.9% (6)★ |
|
| 10 |
|
5.1%★
|
7★ | 1.6% (5)★ |
|
| 11 |
|
3.8%★
|
6★ | 1.3% (4)★ |
|
| 12 |
|
3.8%★
|
11★ | 1.6% (5)★ |
|
| 13 |
Locally Optimistic
organization
|
3.8%★
|
21★ | 1.3% (4)★ |
|
| 14 |
dbt Community
organization
|
3.7%★
|
21★ | 1.3% (4)★ |
|
| 15 |
|
3.7%★
|
8★ | 1.3% (4)★ |
|
| 16 |
|
3.7%★
|
12★ | 1.6% (5)★ |
|
| 17 |
Fivetran
organization
|
3.3%★
|
13★ | 1.0% (3)★ |
|
| 18 |
Generative AI
event
|
2.9%★
|
2★ | 1.0% (3)★ |
|
| 19 |
r/BusinessIntelligence
organization
|
2.7%★
|
26★ | 1.6% (5)★ |
|
| 20 |
Embedded Analytics
event
|
2.6%★
|
28★ | 1.3% (4)★ |
|
| 21 |
Real-time Analytics
event
|
2.5%★
|
19★ | 1.6% (5)★ |
|
| 22 |
|
2.5%★
|
9★ | 1.0% (3)★ |
|
| 23 |
Cloud-native BI
event
|
1.9%★
|
9★ | 1.0% (3)★ |
|
| 24 |
Lightdash
product
|
1.7%★
|
23★ | 1.0% (3)★ |
|
| 25 |
Forrester Research
organization
|
1.7%★
|
4★ | 0.6% (2)★ |
|
| 26 |
Monte Carlo
organization
|
1.7%★
|
17★ | 1.0% (3)★ |
|
| 27 |
Benn Stancil
person
|
1.6%★
|
14★ | 1.3% (4)★ |
|
| 28 |
IDC
organization
|
1.6%★
|
14★ | 8.0% (25)★ |
|
| 29 |
Stephen Few
person
|
1.1%★
|
19★ | 0.6% (2)★ |
|
| 30 |
Alberto Cairo
person
|
1.0%★
|
20★ | 0.6% (2)★ |
|
| 31 |
Cole Nussbaumer Knaflic
person
|
1.0%★
|
21★ | 0.6% (2)★ |
|
| 32 |
Tristan Handy
person
|
1.0%★
|
22★ | 0.6% (2)★ |
|
| 33 |
Power BI Blog
product
|
0.9%★
|
29★ | 0.6% (2)★ |
|
| 34 |
Semantic Layers
event
|
0.8%★
|
13★ | 0.6% (2)★ |
|
| 35 |
Database Trends and Applications
product
|
0.8%★
|
17★ | 0.6% (2)★ |
|
| 36 |
Analytics Engineering
event
|
0.2%★
|
15★ | 1.3% (4)★ |
|
| 37 |
Brent Dykes
person
|
0.1%★
|
19★ | 1.0% (3)★ |
|
| 38 |
|
0.1%★
|
18★ | 0.6% (2)★ |
|
| 39 |
|
0.0%★
|
18★ | 0.6% (2)★ |
|
| 40 |
Datafold
organization
|
0.0%★
|
22★ | 0.6% (2)★ |
|
| 41 |
r/PowerBI
organization
|
0.0%★
|
36★ | 0.6% (2)★ |
|
| 42 |
r/tableau
organization
|
0.0%★
|
37★ | 0.6% (2)★ |
|
| 43 |
r/dataisbeautiful
organization
|
0.0%★
|
38★ | 0.6% (2)★ |
|
| 44 |
InfoWorld
product
|
0.0%★
|
43★ | 0.6% (2)★ |
|
| 45 |
SQLShack
product
|
0.0%★
|
49★ | 0.6% (2)★ |
|
| 46 |
BI Elite
product
|
0.0%★
|
50★ | 0.6% (2)★ |
|
| 47 |
Observable
product
|
0.0%★
|
16★ | 0.3% (1)★ |
|
| 48 |
|
0.0%★
|
19★ | 0.3% (1)★ |
|
| 49 |
|
0.0%★
|
20★ | 0.3% (1)★ |
|
| 50 |
Prukalpa Sankar
person
|
0.0%★
|
31★ | 0.3% (1)★ |
|
| 51 |
Caitlin Colgrove
person
|
0.0%★
|
33★ | 0.3% (1)★ |
|
| 52 |
Data Visualization Society
organization
|
0.0%★
|
41★ | 0.3% (1)★ |
|
| 53 |
DAMA International
organization
|
0.0%★
|
42★ | 0.3% (1)★ |
|
| 54 |
Analytics Insight
product
|
0.0%★
|
45★ | 0.3% (1)★ |
|
| 55 |
Data Science Weekly
product
|
0.0%★
|
47★ | 0.3% (1)★ |
|
| 56 |
The Data Science Roundup
product
|
0.0%★
|
48★ | 0.3% (1)★ |
|
| 57 |
Tableau Blog
product
|
0.0%★
|
52★ | 0.3% (1)★ |
|
| 58 |
Guy in a Cube
product
|
0.0%★
|
53★ | 0.3% (1)★ |
|
| 59 |
How to Power BI
product
|
0.0%★
|
54★ | 0.3% (1)★ |
|
| 60 |
Data Democratization
event
|
0.0%★
|
58★ | 0.3% (1)★ |
|
| 61 |
Composable Data Stack
event
|
0.0%★
|
57★ | 0.3% (1)★ |
|
| 62 |
Headless BI
event
|
0.0%★
|
59★ | 0.3% (1)★ |
|
More Reports
View Aggregate Report (All 3 Questions)Frequently Asked Questions
What is this AI Mentions Report about?
This report analyzes how AI chatbots like Perplexity Sonar (with search) (latest), Anthropic Claude Sonnet (latest), OpenAI ChatGPT Latest, Google Gemini Flash (latest), X.AI Grok (latest) respond to questions related to Analytics and BI. It identifies which brands, products, and organizations are mentioned most frequently and measures their share of voice in AI responses.
What questions were analyzed in this report?
This report analyzed answers to 3 questions:
- "What are the best Analytics & BI options available today? Please provide a comprehensive overview including: the leading brands and products, top companies and service providers, recognized experts and thought leaders, promising startups and new market entrants, major industry events and conferences, active communities and forums, and influential publications and media covering this space." (view report)
- "If I'm looking to get into Analytics & BI, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed." (view report)
- "What does the Analytics & BI industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry." (view report)
How many brands were analyzed in this report?
This report analyzed 62 unique brands mentioned across 5 AI models.
How many web sources were detected?
AI models cited 128 unique web sources (domains) when answering questions.
Which brands are mentioned most by AI models?
How many AI models were analyzed?
This report analyzed responses from 5 AI models: Perplexity Sonar (with search) (latest), Anthropic Claude Sonnet (latest), OpenAI ChatGPT Latest, Google Gemini Flash (latest), X.AI Grok (latest).
What does "Share of Voice" mean and how is it calculated?
Share of Voice (Voice %) measures brand prominence across AI models.
Formula: Share of Voice = Model Coverage × Quality Score
Where:
• Model Coverage = Sum of normalized weights for models mentioning the brand
• Quality Score = Prominence / Max Prominence in dataset
• Prominence = Mentions × (1 / log₂(Position + 1))
Model weights (based on Monthly Active Users):
• OpenAI ChatGPT Latest: 900M MAU (~54.1% weight)
• Google Gemini Flash (latest): 650M MAU (~39.1% weight)
• Perplexity Sonar (with search) (latest): 45M MAU (~2.7% weight)
• X.AI Grok (latest): 39M MAU (~2.3% weight)
• Anthropic Claude Sonnet (latest): 30M MAU (~1.8% weight)
Brands appearing in top positions across high-traffic models achieve higher Share of Voice.
Formula: Share of Voice = Model Coverage × Quality Score
Where:
• Model Coverage = Sum of normalized weights for models mentioning the brand
• Quality Score = Prominence / Max Prominence in dataset
• Prominence = Mentions × (1 / log₂(Position + 1))
Model weights (based on Monthly Active Users):
• OpenAI ChatGPT Latest: 900M MAU (~54.1% weight)
• Google Gemini Flash (latest): 650M MAU (~39.1% weight)
• Perplexity Sonar (with search) (latest): 45M MAU (~2.7% weight)
• X.AI Grok (latest): 39M MAU (~2.3% weight)
• Anthropic Claude Sonnet (latest): 30M MAU (~1.8% weight)
Brands appearing in top positions across high-traffic models achieve higher Share of Voice.