AI Tools
AI mentions in answer for 1 question: "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."
2025-12-29
111
Brands
160
Sources
1
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★ | 6.0% (22)★ |
|
| 2 |
Microsoft
organization
|
47.6%★
|
7★ | 5.8% (21)★ |
|
| 3 |
ChatGPT
product
|
36.6%★
|
2★ | 2.7% (10)★ |
|
| 4 |
Anthropic
organization
|
29.9%★
|
5★ | 3.8% (14)★ |
|
| 5 |
Gemini
product
|
24.9%★
|
4★ | 3.3% (12)★ |
|
| 6 |
Copilot
product
|
23.1%★
|
8★ | 3.3% (12)★ |
|
| 7 |
Google DeepMind
organization
|
19.7%★
|
4★ | 2.5% (9)★ |
|
| 8 |
Hugging Face
organization
|
13.0%★
|
38★ | 3.0% (11)★ |
|
| 9 |
Midjourney
product
|
8.8%★
|
13★ | 1.6% (6)★ |
|
| 10 |
Meta AI
organization
|
8.3%★
|
7★ | 1.4% (5)★ |
|
| 11 |
Runway
product
|
8.0%★
|
16★ | 1.6% (6)★ |
|
| 12 |
NeurIPS
event
|
7.9%★
|
32★ | 1.9% (7)★ |
|
| 13 |
Yann LeCun
person
|
6.7%★
|
29★ | 1.6% (6)★ |
|
| 14 |
The Batch
product
|
6.4%★
|
43★ | 1.6% (6)★ |
|
| 15 |
Azure AI
product
|
6.3%★
|
9★ | 1.6% (6)★ |
|
| 16 |
CVPR
event
|
6.3%★
|
35★ | 1.6% (6)★ |
|
| 17 |
|
6.2%★
|
19★ | 1.4% (5)★ |
|
| 18 |
Sam Altman
person
|
5.8%★
|
25★ | 1.4% (5)★ |
|
| 19 |
Demis Hassabis
person
|
5.7%★
|
26★ | 1.4% (5)★ |
|
| 20 |
Cursor
product
|
5.4%★
|
12★ | 1.1% (4)★ |
|
| 21 |
r/MachineLearning
organization
|
5.4%★
|
41★ | 1.4% (5)★ |
|
| 22 |
|
4.5%★
|
20★ | 1.1% (4)★ |
|
| 23 |
Databricks
organization
|
4.5%★
|
11★ | 1.4% (5)★ |
|
| 24 |
GitHub Copilot
product
|
4.1%★
|
11★ | 0.8% (3)★ |
|
| 25 |
NVIDIA GTC
event
|
4.1%★
|
36★ | 1.1% (4)★ |
|
| 26 |
Andrew Ng
person
|
4.1%★
|
29★ | 1.1% (4)★ |
|
| 27 |
Notion AI
product
|
3.5%★
|
19★ | 0.8% (3)★ |
|
| 28 |
Fei-Fei Li
person
|
3.1%★
|
30★ | 0.8% (3)★ |
|
| 29 |
|
3.0%★
|
18★ | 1.1% (4)★ |
|
| 30 |
Stable Diffusion
product
|
3.0%★
|
17★ | 1.1% (4)★ |
|
| 31 |
Mistral AI
organization
|
2.8%★
|
26★ | 1.1% (4)★ |
|
| 32 |
Pika
product
|
2.7%★
|
22★ | 1.1% (4)★ |
|
| 33 |
Perplexity AI
product
|
2.6%★
|
14★ | 1.1% (4)★ |
|
| 34 |
Import AI
product
|
2.5%★
|
53★ | 1.1% (4)★ |
|
| 35 |
|
2.4%★
|
24★ | 0.8% (3)★ |
|
| 36 |
ICML
event
|
2.4%★
|
39★ | 1.1% (4)★ |
|
| 37 |
arXiv.org
product
|
2.3%★
|
31★ | 1.1% (4)★ |
|
| 38 |
AI Summit
event
|
2.3%★
|
26★ | 1.4% (5)★ |
|
| 39 |
Replit
product
|
2.2%★
|
14★ | 0.8% (3)★ |
|
| 40 |
Cohere
organization
|
2.0%★
|
27★ | 0.8% (3)★ |
|
| 41 |
Dario Amodei
person
|
1.9%★
|
32★ | 0.8% (3)★ |
|
| 42 |
Andrej Karpathy
person
|
1.9%★
|
37★ | 0.8% (3)★ |
|
| 43 |
Transform
event
|
1.6%★
|
48★ | 0.8% (3)★ |
|
| 44 |
Papers with Code
organization
|
1.5%★
|
51★ | 0.8% (3)★ |
|
| 45 |
Papers with Code
product
|
1.5%★
|
52★ | 0.8% (3)★ |
|
| 46 |
Adobe Firefly
product
|
1.5%★
|
16★ | 0.5% (2)★ |
|
| 47 |
Codeium
product
|
1.5%★
|
13★ | 0.5% (2)★ |
|
| 48 |
Grammarly
product
|
1.3%★
|
24★ | 0.5% (2)★ |
|
| 49 |
AI21 Labs
organization
|
1.2%★
|
28★ | 0.5% (2)★ |
|
| 50 |
Jensen Huang
person
|
1.2%★
|
33★ | 0.5% (2)★ |
|
| 51 |
ICLR
event
|
1.1%★
|
41★ | 0.5% (2)★ |
|
| 52 |
ACL
event
|
1.1%★
|
43★ | 0.5% (2)★ |
|
| 53 |
Google I/O
event
|
1.1%★
|
44★ | 0.5% (2)★ |
|
| 54 |
Microsoft Build
event
|
1.1%★
|
45★ | 0.5% (2)★ |
|
| 55 |
AI World
event
|
1.1%★
|
47★ | 0.5% (2)★ |
|
| 56 |
Hugging Face Forums
organization
|
1.0%★
|
50★ | 0.5% (2)★ |
|
| 57 |
TLDR AI
product
|
1.0%★
|
57★ | 0.5% (2)★ |
|
| 58 |
Stanford AI Index
product
|
0.3%★
|
47★ | 0.5% (2)★ |
|
| 59 |
CB Insights AI
product
|
0.2%★
|
51★ | 0.8% (3)★ |
|
| 60 |
Claude AI
product
|
0.2%★
|
10★ | 0.5% (2)★ |
|
| 61 |
Scale AI
organization
|
0.1%★
|
32★ | 0.8% (3)★ |
|
| 62 |
Llama models
product
|
0.1%★
|
12★ | 0.5% (2)★ |
|
| 63 |
EleutherAI
organization
|
0.1%★
|
54★ | 0.8% (3)★ |
|
| 64 |
Lex Fridman
person
|
0.1%★
|
45★ | 0.8% (3)★ |
|
| 65 |
VentureBeat AI
product
|
0.1%★
|
54★ | 0.8% (3)★ |
|
| 66 |
Satya Nadella
person
|
0.1%★
|
25★ | 0.5% (2)★ |
|
| 67 |
Character.AI
product
|
0.1%★
|
40★ | 0.5% (2)★ |
|
| 68 |
Adept
product
|
0.1%★
|
41★ | 0.5% (2)★ |
|
| 69 |
GPT-4
product
|
0.1%★
|
3★ | 0.3% (1)★ |
|
| 70 |
DALL-E
product
|
0.0%★
|
4★ | 0.3% (1)★ |
|
| 71 |
AlphaFold
product
|
0.0%★
|
9★ | 0.3% (1)★ |
|
| 72 |
AI News
product
|
0.0%★
|
90★ | 0.5% (2)★ |
|
| 73 |
Tabnine
product
|
0.0%★
|
25★ | 0.3% (1)★ |
|
| 74 |
Jasper
product
|
0.0%★
|
27★ | 0.3% (1)★ |
|
| 75 |
Copy.ai
product
|
0.0%★
|
28★ | 0.3% (1)★ |
|
| 76 |
Otter.ai
product
|
0.0%★
|
32★ | 0.3% (1)★ |
|
| 77 |
Mem
product
|
0.0%★
|
33★ | 0.3% (1)★ |
|
| 78 |
Superhuman
product
|
0.0%★
|
34★ | 0.3% (1)★ |
|
| 79 |
Google Cloud AI
organization
|
0.0%★
|
40★ | 0.3% (1)★ |
|
| 80 |
IBM Watson
organization
|
0.0%★
|
41★ | 0.3% (1)★ |
|
| 81 |
Emad Mostaque
person
|
0.0%★
|
52★ | 0.3% (1)★ |
|
| 82 |
Timnit Gebru
person
|
0.0%★
|
53★ | 0.3% (1)★ |
|
| 83 |
Harvey AI
product
|
0.0%★
|
58★ | 0.3% (1)★ |
|
| 84 |
You.com
product
|
0.0%★
|
60★ | 0.3% (1)★ |
|
| 85 |
RE•WORK
event
|
0.0%★
|
70★ | 0.3% (1)★ |
|
| 86 |
r/ArtificialIntelligence
organization
|
0.0%★
|
75★ | 0.3% (1)★ |
|
| 87 |
Weights & Biases Community
organization
|
0.0%★
|
78★ | 0.3% (1)★ |
|
| 88 |
Partnership on AI
organization
|
0.0%★
|
81★ | 0.3% (1)★ |
|
| 89 |
AI Alliance
organization
|
0.0%★
|
82★ | 0.3% (1)★ |
|
| 90 |
MLOps Community
organization
|
0.0%★
|
83★ | 0.3% (1)★ |
|
| 91 |
Women in AI
organization
|
0.0%★
|
84★ | 0.3% (1)★ |
|
| 92 |
Black in AI
organization
|
0.0%★
|
85★ | 0.3% (1)★ |
|
| 93 |
The Verge AI
product
|
0.0%★
|
86★ | 0.3% (1)★ |
|
| 94 |
TechCrunch AI
product
|
0.0%★
|
87★ | 0.3% (1)★ |
|
| 95 |
Ars Technica AI
product
|
0.0%★
|
88★ | 0.3% (1)★ |
|
| 96 |
MIT Technology Review AI
product
|
0.0%★
|
89★ | 0.3% (1)★ |
|
| 97 |
The Gradient
product
|
0.0%★
|
93★ | 0.3% (1)★ |
|
| 98 |
Towards Data Science
product
|
0.0%★
|
94★ | 0.3% (1)★ |
|
| 99 |
OpenReview
product
|
0.0%★
|
96★ | 0.3% (1)★ |
|
| 100 |
Semantic Scholar
product
|
0.0%★
|
97★ | 0.3% (1)★ |
|
| 101 |
Lex Fridman Podcast
product
|
0.0%★
|
98★ | 0.3% (1)★ |
|
| 102 |
The AI Breakdown
product
|
0.0%★
|
99★ | 0.3% (1)★ |
|
| 103 |
Latent Space
product
|
0.0%★
|
100★ | 0.3% (1)★ |
|
| 104 |
No Priors
product
|
0.0%★
|
101★ | 0.3% (1)★ |
|
| 105 |
Practical AI
product
|
0.0%★
|
102★ | 0.3% (1)★ |
|
| 106 |
Gartner AI Research
product
|
0.0%★
|
103★ | 0.3% (1)★ |
|
| 107 |
IDC AI
product
|
0.0%★
|
105★ | 0.3% (1)★ |
|
| 108 |
AI Breakfast
product
|
0.0%★
|
107★ | 0.3% (1)★ |
|
| 109 |
The Neuron
product
|
0.0%★
|
109★ | 0.3% (1)★ |
|
| 110 |
AI Supremacy
product
|
0.0%★
|
110★ | 0.3% (1)★ |
|
| 111 |
Last Week in AI
product
|
0.0%★
|
111★ | 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 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 111 unique brands mentioned across 5 AI models.
How many web sources were detected?
AI models cited 160 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.