Analytics and BI
AI mentions in answers to 3 questions
2025-12-30
122
Brands
255
Sources
3
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%★
|
4★ | 7.8% (88)★ |
|
| 2 |
Gartner
organization
|
75.4%★
|
11★ | 7.7% (87)★ |
|
| 3 |
|
36.3%★
|
5★ | 3.2% (36)★ |
|
| 4 |
|
35.9%★
|
6★ | 4.6% (52)★ |
|
| 5 |
|
27.6%★
|
8★ | 5.0% (56)★ |
|
| 6 |
|
27.0%★
|
7★ | 4.2% (47)★ |
|
| 7 |
|
24.5%★
|
3★ | 2.3% (26)★ |
|
| 8 |
|
23.3%★
|
6★ | 2.8% (32)★ |
|
| 9 |
|
20.7%★
|
16★ | 3.4% (38)★ |
|
| 10 |
Embedded Analytics
event
|
8.2%★
|
25★ | 1.6% (18)★ |
|
| 11 |
IDC
organization
|
7.7%★
|
64★ | 2.5% (28)★ |
|
| 12 |
Forrester
organization
|
7.4%★
|
19★ | 1.9% (22)★ |
|
| 13 |
|
6.6%★
|
28★ | 1.7% (19)★ |
|
| 14 |
|
6.2%★
|
22★ | 1.3% (15)★ |
|
| 15 |
Tableau Conference
event
|
5.9%★
|
45★ | 1.6% (18)★ |
|
| 16 |
|
5.9%★
|
24★ | 1.3% (15)★ |
|
| 17 |
|
5.6%★
|
18★ | 1.2% (14)★ |
|
| 18 |
Analytics Engineering
event
|
5.3%★
|
35★ | 1.3% (15)★ |
|
| 19 |
|
5.2%★
|
35★ | 1.4% (16)★ |
|
| 20 |
Towards Data Science
product
|
4.9%★
|
56★ | 1.4% (16)★ |
|
| 21 |
|
4.8%★
|
6★ | 1.0% (11)★ |
|
| 22 |
Accenture
organization
|
4.6%★
|
31★ | 1.1% (12)★ |
|
| 23 |
r/BusinessIntelligence
organization
|
4.5%★
|
51★ | 1.2% (14)★ |
|
| 24 |
|
4.1%★
|
26★ | 1.3% (15)★ |
|
| 25 |
|
4.0%★
|
15★ | 0.8% (9)★ |
|
| 26 |
dbt Community
organization
|
3.8%★
|
44★ | 1.1% (12)★ |
|
| 27 |
Locally Optimistic
organization
|
3.7%★
|
44★ | 1.1% (12)★ |
|
| 28 |
|
3.7%★
|
25★ | 1.2% (14)★ |
|
| 29 |
3.7%★
|
49★ | 1.1% (12)★ |
|
|
| 30 |
Snowflake Summit
event
|
3.6%★
|
48★ | 1.1% (12)★ |
|
| 31 |
|
3.3%★
|
10★ | 0.9% (10)★ |
|
| 32 |
|
3.2%★
|
23★ | 0.7% (8)★ |
|
| 33 |
Deloitte
organization
|
3.2%★
|
34★ | 0.8% (9)★ |
|
| 34 |
|
3.1%★
|
9★ | 0.8% (9)★ |
|
| 35 |
|
2.6%★
|
34★ | 0.7% (8)★ |
|
| 36 |
|
2.5%★
|
13★ | 0.8% (9)★ |
|
| 37 |
|
2.5%★
|
24★ | 0.7% (8)★ |
|
| 38 |
|
2.4%★
|
13★ | 0.7% (8)★ |
|
| 39 |
Alberto Cairo
person
|
2.3%★
|
36★ | 0.6% (7)★ |
|
| 40 |
|
2.2%★
|
38★ | 1.0% (11)★ |
|
| 41 |
DataTalks Club
organization
|
2.1%★
|
50★ | 0.6% (7)★ |
|
| 42 |
Bernard Marr
person
|
2.1%★
|
39★ | 0.5% (6)★ |
|
| 43 |
Datanami
product
|
2.0%★
|
58★ | 0.6% (7)★ |
|
| 44 |
KDnuggets
product
|
2.0%★
|
70★ | 1.0% (11)★ |
|
| 45 |
Generative AI
event
|
1.9%★
|
5★ | 0.4% (4)★ |
|
| 46 |
Cloud-native BI
event
|
1.7%★
|
29★ | 0.4% (4)★ |
|
| 47 |
PwC
organization
|
1.4%★
|
45★ | 0.5% (6)★ |
|
| 48 |
|
1.2%★
|
11★ | 0.4% (4)★ |
|
| 49 |
Headless BI
event
|
1.2%★
|
39★ | 0.4% (4)★ |
|
| 50 |
Stephen Few
person
|
1.2%★
|
46★ | 0.5% (6)★ |
|
| 51 |
|
1.1%★
|
40★ | 0.5% (6)★ |
|
| 52 |
|
1.1%★
|
52★ | 0.5% (6)★ |
|
| 53 |
Benn Stancil
person
|
1.1%★
|
23★ | 0.6% (7)★ |
|
| 54 |
Edward Tufte
person
|
1.0%★
|
44★ | 0.3% (3)★ |
|
| 55 |
Real-time Analytics
event
|
1.0%★
|
60★ | 0.5% (6)★ |
|
| 56 |
Cole Nussbaumer Knaflic
person
|
0.9%★
|
48★ | 0.4% (5)★ |
|
| 57 |
Big Data LDN
event
|
0.9%★
|
51★ | 0.3% (3)★ |
|
| 58 |
r/tableau
organization
|
0.9%★
|
65★ | 0.4% (5)★ |
|
| 59 |
|
0.9%★
|
22★ | 0.4% (4)★ |
|
| 60 |
|
0.9%★
|
32★ | 0.4% (4)★ |
|
| 61 |
|
0.9%★
|
40★ | 0.4% (5)★ |
|
| 62 |
|
0.8%★
|
21★ | 0.3% (3)★ |
|
| 63 |
Forrester Research
organization
|
0.8%★
|
21★ | 0.4% (4)★ |
|
| 64 |
|
0.7%★
|
37★ | 0.4% (4)★ |
|
| 65 |
|
0.7%★
|
38★ | 0.4% (4)★ |
|
| 66 |
|
0.7%★
|
15★ | 0.3% (3)★ |
|
| 67 |
Tristan Handy
person
|
0.7%★
|
63★ | 0.4% (4)★ |
|
| 68 |
r/PowerBI
organization
|
0.7%★
|
65★ | 0.4% (4)★ |
|
| 69 |
Power BI Blog
product
|
0.6%★
|
73★ | 0.4% (4)★ |
|
| 70 |
Database Trends and Applications
product
|
0.6%★
|
43★ | 0.4% (5)★ |
|
| 71 |
|
0.6%★
|
34★ | 0.3% (3)★ |
|
| 72 |
|
0.6%★
|
30★ | 0.3% (3)★ |
|
| 73 |
Tableau Blog
product
|
0.5%★
|
72★ | 0.3% (3)★ |
|
| 74 |
Deloitte Analytics
organization
|
0.5%★
|
21★ | 0.3% (3)★ |
|
| 75 |
Data Engineering Weekly
product
|
0.5%★
|
74★ | 0.3% (3)★ |
|
| 76 |
Cindi Howson
person
|
0.4%★
|
28★ | 0.3% (3)★ |
|
| 77 |
Semantic Layers
event
|
0.4%★
|
26★ | 0.3% (3)★ |
|
| 78 |
Cassie Kozyrkov
person
|
0.3%★
|
22★ | 0.2% (2)★ |
|
| 79 |
|
0.2%★
|
28★ | 0.6% (7)★ |
|
| 80 |
Marco Russo
person
|
0.2%★
|
50★ | 0.1% (1)★ |
|
| 81 |
Alberto Ferrari
person
|
0.2%★
|
51★ | 0.1% (1)★ |
|
| 82 |
Brent Dykes
person
|
0.1%★
|
31★ | 0.7% (8)★ |
|
| 83 |
|
0.1%★
|
10★ | 0.4% (4)★ |
|
| 84 |
|
0.1%★
|
38★ | 0.4% (4)★ |
|
| 85 |
InfoWorld
product
|
0.1%★
|
50★ | 0.4% (4)★ |
|
| 86 |
0.1%★
|
73★ | 0.4% (4)★ |
|
|
| 87 |
Analytics Insight
product
|
0.0%★
|
67★ | 0.4% (4)★ |
|
| 88 |
TDWI Conferences
event
|
0.0%★
|
62★ | 0.3% (3)★ |
|
| 89 |
r/dataisbeautiful
organization
|
0.0%★
|
65★ | 0.3% (3)★ |
|
| 90 |
Tiger Analytics
organization
|
0.0%★
|
21★ | 0.3% (3)★ |
|
| 91 |
Analytics India Magazine
product
|
0.0%★
|
71★ | 0.2% (2)★ |
|
| 92 |
|
0.0%★
|
71★ | 0.3% (3)★ |
|
| 93 |
|
0.0%★
|
32★ | 0.2% (2)★ |
|
| 94 |
Datafold
organization
|
0.0%★
|
36★ | 0.2% (2)★ |
|
| 95 |
|
0.0%★
|
49★ | 0.2% (2)★ |
|
| 96 |
DAMA International
organization
|
0.0%★
|
70★ | 0.2% (2)★ |
|
| 97 |
Data Science Weekly
product
|
0.0%★
|
88★ | 0.2% (2)★ |
|
| 98 |
The Data Science Roundup
product
|
0.0%★
|
92★ | 0.2% (2)★ |
|
| 99 |
SQLShack
product
|
0.0%★
|
97★ | 0.2% (2)★ |
|
| 100 |
BI Elite
product
|
0.0%★
|
98★ | 0.2% (2)★ |
|
| 101 |
Observable
product
|
0.0%★
|
28★ | 0.1% (1)★ |
|
| 102 |
|
0.0%★
|
50★ | 0.1% (1)★ |
|
| 103 |
|
0.0%★
|
52★ | 0.1% (1)★ |
|
| 104 |
Randy Au
person
|
0.0%★
|
51★ | 0.1% (1)★ |
|
| 105 |
Evan Jones
person
|
0.0%★
|
53★ | 0.1% (1)★ |
|
| 106 |
|
0.0%★
|
33★ | 0.1% (1)★ |
|
| 107 |
|
0.0%★
|
34★ | 0.1% (1)★ |
|
| 108 |
Prukalpa Sankar
person
|
0.0%★
|
55★ | 0.1% (1)★ |
|
| 109 |
Caitlin Colgrove
person
|
0.0%★
|
58★ | 0.1% (1)★ |
|
| 110 |
Accenture Analytics
organization
|
0.0%★
|
75★ | 0.1% (1)★ |
|
| 111 |
PwC Analytics
organization
|
0.0%★
|
77★ | 0.1% (1)★ |
|
| 112 |
EY Analytics
organization
|
0.0%★
|
79★ | 0.1% (1)★ |
|
| 113 |
KPMG Analytics
organization
|
0.0%★
|
80★ | 0.1% (1)★ |
|
| 114 |
McKinsey Analytics
organization
|
0.0%★
|
83★ | 0.1% (1)★ |
|
| 115 |
DJ Patil
person
|
0.0%★
|
93★ | 0.1% (1)★ |
|
| 116 |
Caitlin Smallwood
person
|
0.0%★
|
94★ | 0.1% (1)★ |
|
| 117 |
Hilary Mason
person
|
0.0%★
|
96★ | 0.1% (1)★ |
|
| 118 |
VentureBeat AI
product
|
0.0%★
|
110★ | 0.1% (1)★ |
|
| 119 |
Data Visualization Society
organization
|
0.0%★
|
84★ | 0.1% (1)★ |
|
| 120 |
How to Power BI
product
|
0.0%★
|
101★ | 0.1% (1)★ |
|
| 121 |
Data Democratization
event
|
0.0%★
|
107★ | 0.1% (1)★ |
|
| 122 |
Composable Data Stack
event
|
0.0%★
|
106★ | 0.1% (1)★ |
|
Per-Question Reports
View detailed rankings for each individual question
1
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.
2
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.
3
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.
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 122 unique brands mentioned across 5 AI models.
How many web sources were detected?
AI models cited 255 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.