AI Tools
AI mentions in answers to 3 questions
2025-12-29
144
Brands
273
Sources
3
Questions
5
AI Models
About This Report
This report was generated for brands and citations mentioned in answers about AI Tools 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 AI Tools 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 AI Tools, 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 AI Tools 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%★
|
1★ | 6.9% (88)★ |
|
| 2 |
|
36.3%★
|
2★ | 3.5% (45)★ |
|
| 3 |
Anthropic
organization
|
24.1%★
|
4★ | 3.5% (45)★ |
|
| 4 |
Microsoft
organization
|
23.9%★
|
8★ | 4.9% (62)★ |
|
| 5 |
|
17.4%★
|
6★ | 3.1% (40)★ |
|
| 6 |
|
17.1%★
|
4★ | 2.8% (35)★ |
|
| 7 |
Copilot
product
|
13.7%★
|
10★ | 3.0% (38)★ |
|
| 8 |
Hugging Face
organization
|
12.9%★
|
20★ | 2.5% (32)★ |
|
| 9 |
|
10.2%★
|
17★ | 2.4% (31)★ |
|
| 10 |
Google DeepMind
organization
|
8.0%★
|
8★ | 1.7% (21)★ |
|
| 11 |
DeepLearning.AI
organization
|
7.9%★
|
37★ | 2.7% (34)★ |
|
| 12 |
NVIDIA
organization
|
5.9%★
|
29★ | 1.8% (23)★ |
|
| 13 |
Meta AI
organization
|
5.8%★
|
10★ | 1.4% (18)★ |
|
| 14 |
|
5.1%★
|
29★ | 1.4% (18)★ |
|
| 15 |
|
4.8%★
|
23★ | 1.4% (18)★ |
|
| 16 |
|
4.3%★
|
28★ | 1.3% (17)★ |
|
| 17 |
Azure AI
product
|
4.1%★
|
15★ | 1.0% (13)★ |
|
| 18 |
NeurIPS
event
|
4.0%★
|
46★ | 1.4% (18)★ |
|
| 19 |
Mistral AI
organization
|
3.9%★
|
22★ | 1.1% (14)★ |
|
| 20 |
Andrew Ng
person
|
3.8%★
|
35★ | 1.3% (17)★ |
|
| 21 |
|
3.4%★
|
14★ | 0.9% (12)★ |
|
| 22 |
|
3.4%★
|
10★ | 0.9% (11)★ |
|
| 23 |
r/MachineLearning
organization
|
3.3%★
|
49★ | 1.2% (15)★ |
|
| 24 |
The Batch
product
|
3.2%★
|
55★ | 1.3% (16)★ |
|
| 25 |
|
3.1%★
|
27★ | 0.9% (12)★ |
|
| 26 |
Yann LeCun
person
|
3.1%★
|
40★ | 1.1% (14)★ |
|
| 27 |
Cursor
product
|
3.1%★
|
19★ | 0.9% (12)★ |
|
| 28 |
CVPR
event
|
2.8%★
|
49★ | 1.1% (14)★ |
|
| 29 |
Amazon Web Services
organization
|
2.4%★
|
15★ | 0.6% (8)★ |
|
| 30 |
Sam Altman
person
|
2.3%★
|
35★ | 0.8% (10)★ |
|
| 31 |
|
2.3%★
|
26★ | 1.1% (14)★ |
|
| 32 |
Demis Hassabis
person
|
2.2%★
|
39★ | 0.8% (10)★ |
|
| 33 |
|
2.1%★
|
25★ | 1.0% (13)★ |
|
| 34 |
Fei-Fei Li
person
|
2.1%★
|
42★ | 0.8% (10)★ |
|
| 35 |
|
2.1%★
|
32★ | 1.0% (13)★ |
|
| 36 |
NVIDIA GTC
event
|
2.0%★
|
49★ | 0.8% (10)★ |
|
| 37 |
Cohere
organization
|
2.0%★
|
15★ | 1.0% (13)★ |
|
| 38 |
MIT Technology Review
organization
|
1.9%★
|
57★ | 0.8% (10)★ |
|
| 39 |
AI Summit
event
|
1.8%★
|
58★ | 0.7% (9)★ |
|
| 40 |
|
1.8%★
|
35★ | 0.6% (8)★ |
|
| 41 |
|
1.7%★
|
13★ | 1.0% (13)★ |
|
| 42 |
ICML
event
|
1.7%★
|
52★ | 1.0% (13)★ |
|
| 43 |
Fast.ai
organization
|
1.5%★
|
43★ | 0.9% (12)★ |
|
| 44 |
GPT-4
product
|
1.5%★
|
3★ | 0.5% (6)★ |
|
| 45 |
|
1.4%★
|
33★ | 0.6% (8)★ |
|
| 46 |
arXiv.org
product
|
1.3%★
|
23★ | 0.8% (10)★ |
|
| 47 |
Import AI
product
|
1.2%★
|
60★ | 0.8% (10)★ |
|
| 48 |
DALL-E
product
|
1.2%★
|
18★ | 0.5% (6)★ |
|
| 49 |
Andrej Karpathy
person
|
1.1%★
|
38★ | 0.6% (8)★ |
|
| 50 |
|
1.1%★
|
25★ | 0.6% (7)★ |
|
| 51 |
|
1.0%★
|
21★ | 0.6% (8)★ |
|
| 52 |
Databricks
organization
|
1.0%★
|
20★ | 0.6% (7)★ |
|
| 53 |
|
1.0%★
|
44★ | 0.9% (11)★ |
|
| 54 |
Replit
product
|
1.0%★
|
23★ | 0.6% (7)★ |
|
| 55 |
Dario Amodei
person
|
0.9%★
|
44★ | 0.6% (7)★ |
|
| 56 |
Google I/O
event
|
0.9%★
|
59★ | 0.6% (8)★ |
|
| 57 |
Microsoft Build
event
|
0.9%★
|
58★ | 0.6% (8)★ |
|
| 58 |
Ethan Mollick
person
|
0.8%★
|
40★ | 0.3% (4)★ |
|
| 59 |
The AI Summit
event
|
0.8%★
|
57★ | 0.3% (4)★ |
|
| 60 |
AI News
product
|
0.8%★
|
49★ | 0.8% (10)★ |
|
| 61 |
Codeium
product
|
0.7%★
|
22★ | 0.4% (5)★ |
|
| 62 |
Practical AI
product
|
0.7%★
|
66★ | 0.5% (6)★ |
|
| 63 |
Scale AI
organization
|
0.6%★
|
38★ | 0.4% (5)★ |
|
| 64 |
There's An AI For That
product
|
0.6%★
|
51★ | 0.5% (6)★ |
|
| 65 |
Hugging Face Forums
organization
|
0.6%★
|
50★ | 0.4% (5)★ |
|
| 66 |
EleutherAI
organization
|
0.6%★
|
72★ | 0.4% (5)★ |
|
| 67 |
OpenAI DevDay
event
|
0.6%★
|
59★ | 0.2% (3)★ |
|
| 68 |
AI21 Labs
organization
|
0.5%★
|
21★ | 0.3% (4)★ |
|
| 69 |
Tabnine
product
|
0.5%★
|
36★ | 0.3% (4)★ |
|
| 70 |
Transform
event
|
0.5%★
|
69★ | 0.4% (5)★ |
|
| 71 |
Coursera
organization
|
0.5%★
|
33★ | 0.4% (5)★ |
|
| 72 |
ICLR
event
|
0.5%★
|
54★ | 0.3% (4)★ |
|
| 73 |
ACL
event
|
0.4%★
|
56★ | 0.3% (4)★ |
|
| 74 |
TLDR AI
product
|
0.4%★
|
63★ | 0.3% (4)★ |
|
| 75 |
|
0.4%★
|
53★ | 0.4% (5)★ |
|
| 76 |
The Gradient
product
|
0.4%★
|
65★ | 0.3% (4)★ |
|
| 77 |
|
0.4%★
|
19★ | 0.3% (4)★ |
|
| 78 |
Latent Space
product
|
0.4%★
|
66★ | 0.3% (4)★ |
|
| 79 |
Otter.ai
product
|
0.4%★
|
26★ | 0.3% (4)★ |
|
| 80 |
Jensen Huang
person
|
0.4%★
|
46★ | 0.2% (3)★ |
|
| 81 |
TWIML AI Podcast
person
|
0.3%★
|
67★ | 0.2% (3)★ |
|
| 82 |
|
0.3%★
|
73★ | 0.2% (3)★ |
|
| 83 |
AI World
event
|
0.3%★
|
68★ | 0.2% (3)★ |
|
| 84 |
MIT Technology Review AI
product
|
0.3%★
|
55★ | 0.3% (4)★ |
|
| 85 |
The Neuron
product
|
0.2%★
|
49★ | 0.2% (3)★ |
|
| 86 |
Claude AI
product
|
0.1%★
|
17★ | 0.5% (6)★ |
|
| 87 |
Jasper
product
|
0.1%★
|
23★ | 0.8% (10)★ |
|
| 88 |
Amazon Web Services (AWS)
organization
|
0.1%★
|
24★ | 0.1% (1)★ |
|
| 89 |
Lex Fridman
person
|
0.1%★
|
42★ | 0.6% (8)★ |
|
| 90 |
|
0.1%★
|
53★ | 0.6% (8)★ |
|
| 91 |
Llama models
product
|
0.1%★
|
15★ | 0.3% (4)★ |
|
| 92 |
|
0.0%★
|
78★ | 0.5% (6)★ |
|
| 93 |
CB Insights AI
product
|
0.0%★
|
66★ | 0.3% (4)★ |
|
| 94 |
|
0.0%★
|
69★ | 0.3% (4)★ |
|
| 95 |
Last Week in AI
product
|
0.0%★
|
93★ | 0.3% (4)★ |
|
| 96 |
Adept AI
organization
|
0.0%★
|
83★ | 0.2% (3)★ |
|
| 97 |
Stanford AI Index
product
|
0.0%★
|
62★ | 0.2% (2)★ |
|
| 98 |
Satya Nadella
person
|
0.0%★
|
36★ | 0.2% (2)★ |
|
| 99 |
Copy.ai
product
|
0.0%★
|
35★ | 0.3% (4)★ |
|
| 100 |
EleutherAI Discord
organization
|
0.0%★
|
68★ | 0.2% (2)★ |
|
| 101 |
Towards Data Science
product
|
0.0%★
|
88★ | 0.2% (2)★ |
|
| 102 |
Inflection AI
organization
|
0.0%★
|
73★ | 0.3% (4)★ |
|
| 103 |
AlphaFold
product
|
0.0%★
|
10★ | 0.2% (2)★ |
|
| 104 |
|
0.0%★
|
111★ | 0.2% (3)★ |
|
| 105 |
|
0.0%★
|
110★ | 0.2% (3)★ |
|
| 106 |
Future Tools
product
|
0.0%★
|
87★ | 0.2% (3)★ |
|
| 107 |
MLOps Community
organization
|
0.0%★
|
107★ | 0.2% (3)★ |
|
| 108 |
Consensus
product
|
0.0%★
|
69★ | 0.2% (2)★ |
|
| 109 |
Elicit
product
|
0.0%★
|
72★ | 0.2% (2)★ |
|
| 110 |
Scholarcy
product
|
0.0%★
|
76★ | 0.2% (2)★ |
|
| 111 |
|
0.0%★
|
74★ | 0.2% (2)★ |
|
| 112 |
Matt Wolfe
person
|
0.0%★
|
66★ | 0.2% (2)★ |
|
| 113 |
r/ArtificialIntelligence
organization
|
0.0%★
|
77★ | 0.2% (2)★ |
|
| 114 |
Product Hunt AI
product
|
0.0%★
|
91★ | 0.2% (2)★ |
|
| 115 |
Timnit Gebru
person
|
0.0%★
|
65★ | 0.2% (2)★ |
|
| 116 |
Harvey AI
product
|
0.0%★
|
70★ | 0.2% (2)★ |
|
| 117 |
Women in AI
organization
|
0.0%★
|
108★ | 0.2% (2)★ |
|
| 118 |
Ars Technica AI
product
|
0.0%★
|
112★ | 0.2% (2)★ |
|
| 119 |
The AI Breakdown
product
|
0.0%★
|
124★ | 0.2% (2)★ |
|
| 120 |
Last Week in AI Podcast
person
|
0.0%★
|
56★ | 0.1% (1)★ |
|
| 121 |
AI Jason
person
|
0.0%★
|
67★ | 0.1% (1)★ |
|
| 122 |
Mem
product
|
0.0%★
|
40★ | 0.1% (1)★ |
|
| 123 |
Superhuman
product
|
0.0%★
|
41★ | 0.1% (1)★ |
|
| 124 |
Google Cloud AI
organization
|
0.0%★
|
47★ | 0.1% (1)★ |
|
| 125 |
IBM Watson
organization
|
0.0%★
|
48★ | 0.1% (1)★ |
|
| 126 |
Emad Mostaque
person
|
0.0%★
|
63★ | 0.1% (1)★ |
|
| 127 |
Hugging Face Community
organization
|
0.0%★
|
140★ | 0.1% (1)★ |
|
| 128 |
AI Alignment Forum
organization
|
0.0%★
|
141★ | 0.1% (1)★ |
|
| 129 |
Web Summit
event
|
0.0%★
|
102★ | 0.1% (1)★ |
|
| 130 |
LangChain Discord
organization
|
0.0%★
|
83★ | 0.1% (1)★ |
|
| 131 |
AI Tool Hunt
product
|
0.0%★
|
89★ | 0.1% (1)★ |
|
| 132 |
AI Snake Oil
product
|
0.0%★
|
123★ | 0.1% (1)★ |
|
| 133 |
Cognitive Revolution
event
|
0.0%★
|
135★ | 0.1% (1)★ |
|
| 134 |
RE•WORK
event
|
0.0%★
|
96★ | 0.1% (1)★ |
|
| 135 |
Weights & Biases Community
organization
|
0.0%★
|
103★ | 0.1% (1)★ |
|
| 136 |
Partnership on AI
organization
|
0.0%★
|
105★ | 0.1% (1)★ |
|
| 137 |
AI Alliance
organization
|
0.0%★
|
106★ | 0.1% (1)★ |
|
| 138 |
Black in AI
organization
|
0.0%★
|
109★ | 0.1% (1)★ |
|
| 139 |
OpenReview
product
|
0.0%★
|
121★ | 0.1% (1)★ |
|
| 140 |
No Priors
product
|
0.0%★
|
127★ | 0.1% (1)★ |
|
| 141 |
Gartner AI Research
product
|
0.0%★
|
128★ | 0.1% (1)★ |
|
| 142 |
IDC AI
product
|
0.0%★
|
131★ | 0.1% (1)★ |
|
| 143 |
AI Breakfast
product
|
0.0%★
|
134★ | 0.1% (1)★ |
|
| 144 |
AI Supremacy
product
|
0.0%★
|
138★ | 0.1% (1)★ |
|
Per-Question Reports
View detailed rankings for each individual question
1
What are the best AI Tools 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 AI Tools, 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 AI Tools 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 AI Tools. 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 AI Tools 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 AI Tools, 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 AI Tools 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 144 unique brands mentioned across 5 AI models.
How many web sources were detected?
AI models cited 273 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.