Developer Tools
AI mentions in answer for 1 question: "If I'm looking to get into Developer 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."
2025-12-30
19
Brands
195
Sources
1
Questions
5
AI Models
About This Report
This report was generated for brands and citations mentioned in answers about Developer 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 Developer 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 Developer 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 Developer 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%★
|
2★ | 20.0% (34)★ |
|
| 2 |
|
20.1%★
|
1★ | 8.2% (14)★ |
|
| 3 |
Kubernetes
product
|
17.3%★
|
12★ | 10.6% (18)★ |
|
| 4 |
|
15.6%★
|
9★ | 8.2% (14)★ |
|
| 5 |
Visual Studio Code
product
|
13.5%★
|
4★ | 4.7% (8)★ |
|
| 6 |
|
10.4%★
|
11★ | 5.3% (9)★ |
|
| 7 |
|
8.7%★
|
6★ | 4.1% (7)★ |
|
| 8 |
|
7.7%★
|
4★ | 4.7% (8)★ |
|
| 9 |
Atlassian
organization
|
7.3%★
|
4★ | 2.9% (5)★ |
|
| 10 |
|
6.3%★
|
15★ | 4.1% (7)★ |
|
| 11 |
|
6.3%★
|
13★ | 4.1% (7)★ |
|
| 12 |
|
6.2%★
|
14★ | 4.1% (7)★ |
|
| 13 |
|
5.1%★
|
10★ | 2.9% (5)★ |
|
| 14 |
|
4.7%★
|
6★ | 3.5% (6)★ |
|
| 15 |
Cloudflare
organization
|
4.0%★
|
9★ | 2.4% (4)★ |
|
| 16 |
Google Cloud
organization
|
3.9%★
|
7★ | 3.5% (6)★ |
|
| 17 |
|
2.1%★
|
12★ | 2.4% (4)★ |
|
| 18 |
Linear
organization
|
1.9%★
|
13★ | 2.9% (5)★ |
|
| 19 |
Red Hat
organization
|
1.2%★
|
8★ | 1.2% (2)★ |
|
Source Domains
Domains cited by AI models as sources
| # | Domain | Voice | Position | Citations | AI |
|---|---|---|---|---|---|
| 1 |
9.7%★
|
4★ | 3.2% (15)★ |
|
|
| 2 |
9.2%★
|
38★ | 4.7% (22)★ |
|
|
| 3 |
4.5%★
|
5★ | 1.3% (6)★ |
|
|
| 4 |
3.6%★
|
17★ | 1.7% (8)★ |
|
|
| 5 |
3.4%★
|
14★ | 2.4% (11)★ |
|
|
| 6 |
2.6%★
|
33★ | 1.1% (5)★ |
|
|
| 7 |
2.3%★
|
9★ | 1.1% (5)★ |
|
|
| 8 |
2.2%★
|
28★ | 1.1% (5)★ |
|
|
| 9 |
2.1%★
|
61★ | 1.3% (6)★ |
|
|
| 10 |
2.0%★
|
23★ | 1.1% (5)★ |
|
|
| 11 |
1.8%★
|
19★ | 0.9% (4)★ |
|
|
| 12 |
1.7%★
|
6★ | 1.1% (5)★ |
|
|
| 13 |
1.6%★
|
1★ | 0.4% (2)★ |
|
|
| 14 |
1.6%★
|
10★ | 0.9% (4)★ |
|
|
| 15 |
1.5%★
|
17★ | 1.3% (6)★ |
|
|
| 16 |
1.5%★
|
73★ | 1.1% (5)★ |
|
|
| 17 |
1.5%★
|
41★ | 0.9% (4)★ |
|
|
| 18 |
1.5%★
|
13★ | 0.4% (2)★ |
|
|
| 19 |
1.4%★
|
45★ | 0.9% (4)★ |
|
|
| 20 |
1.4%★
|
59★ | 0.9% (4)★ |
|
|
| 21 |
1.3%★
|
49★ | 0.9% (4)★ |
|
|
| 22 |
1.3%★
|
60★ | 0.9% (4)★ |
|
|
| 23 |
1.3%★
|
26★ | 1.3% (6)★ |
|
|
| 24 |
1.3%★
|
83★ | 0.9% (4)★ |
|
|
| 25 |
1.3%★
|
68★ | 0.9% (4)★ |
|
|
| 26 |
1.1%★
|
14★ | 1.1% (5)★ |
|
|
| 27 |
1.0%★
|
14★ | 0.6% (3)★ |
|
|
| 28 |
1.0%★
|
17★ | 0.4% (2)★ |
|
|
| 29 |
0.9%★
|
55★ | 0.6% (3)★ |
|
|
| 30 |
0.9%★
|
70★ | 0.6% (3)★ |
|
|
| 31 |
0.9%★
|
75★ | 0.6% (3)★ |
|
|
| 32 |
0.9%★
|
67★ | 0.6% (3)★ |
|
|
| 33 |
0.8%★
|
81★ | 0.6% (3)★ |
|
|
| 34 |
0.8%★
|
82★ | 0.6% (3)★ |
|
|
| 35 |
0.8%★
|
45★ | 1.1% (5)★ |
|
|
| 36 |
0.8%★
|
39★ | 0.6% (3)★ |
|
|
| 37 |
0.8%★
|
5★ | 0.4% (2)★ |
|
|
| 38 |
0.7%★
|
22★ | 0.6% (3)★ |
|
|
| 39 |
0.7%★
|
55★ | 0.4% (2)★ |
|
|
| 40 |
0.7%★
|
20★ | 0.6% (3)★ |
|
|
| 41 |
0.7%★
|
53★ | 0.4% (2)★ |
|
|
| 42 |
0.6%★
|
108★ | 0.6% (3)★ |
|
|
| 43 |
0.6%★
|
11★ | 0.4% (2)★ |
|
|
| 44 |
0.5%★
|
18★ | 0.6% (3)★ |
|
|
| 45 |
0.5%★
|
3★ | 0.2% (1)★ |
|
|
| 46 |
0.5%★
|
1★ | 2.2% (10)★ |
|
|
| 47 |
0.5%★
|
31★ | 0.6% (3)★ |
|
|
| 48 |
0.5%★
|
39★ | 0.4% (2)★ |
|
|
| 49 |
0.5%★
|
25★ | 0.6% (3)★ |
|
|
| 50 |
0.5%★
|
26★ | 0.6% (3)★ |
|
|
| 51 |
0.4%★
|
35★ | 0.6% (3)★ |
|
|
| 52 |
0.4%★
|
48★ | 0.4% (2)★ |
|
|
| 53 |
0.4%★
|
70★ | 0.4% (2)★ |
|
|
| 54 |
0.4%★
|
49★ | 0.4% (2)★ |
|
|
| 55 |
0.4%★
|
30★ | 0.4% (2)★ |
|
|
| 56 |
0.4%★
|
57★ | 0.4% (2)★ |
|
|
| 57 |
0.4%★
|
35★ | 0.4% (2)★ |
|
|
| 58 |
0.4%★
|
50★ | 0.4% (2)★ |
|
|
| 59 |
0.4%★
|
2★ | 2.6% (12)★ |
|
|
| 60 |
0.4%★
|
60★ | 0.4% (2)★ |
|
|
| 61 |
0.4%★
|
94★ | 0.4% (2)★ |
|
|
| 62 |
0.4%★
|
93★ | 0.4% (2)★ |
|
|
| 63 |
0.4%★
|
64★ | 0.4% (2)★ |
|
|
| 64 |
0.4%★
|
66★ | 0.4% (2)★ |
|
|
| 65 |
0.4%★
|
65★ | 0.4% (2)★ |
|
|
| 66 |
0.4%★
|
74★ | 0.4% (2)★ |
|
|
| 67 |
0.3%★
|
70★ | 0.4% (2)★ |
|
|
| 68 |
0.3%★
|
69★ | 0.4% (2)★ |
|
|
| 69 |
0.3%★
|
114★ | 0.4% (2)★ |
|
|
| 70 |
0.3%★
|
62★ | 0.4% (2)★ |
|
|
| 71 |
0.3%★
|
83★ | 0.4% (2)★ |
|
|
| 72 |
0.3%★
|
24★ | 1.1% (5)★ |
|
|
| 73 |
0.3%★
|
80★ | 0.4% (2)★ |
|
|
| 74 |
0.3%★
|
103★ | 0.4% (2)★ |
|
|
| 75 |
0.3%★
|
100★ | 0.4% (2)★ |
|
|
| 76 |
0.3%★
|
88★ | 0.4% (2)★ |
|
|
| 77 |
0.3%★
|
28★ | 0.6% (3)★ |
|
|
| 78 |
0.3%★
|
93★ | 0.4% (2)★ |
|
|
| 79 |
0.3%★
|
9★ | 0.2% (1)★ |
|
|
| 80 |
0.3%★
|
41★ | 0.4% (2)★ |
|
|
| 81 |
0.2%★
|
6★ | 2.8% (13)★ |
|
|
| 82 |
0.2%★
|
13★ | 1.5% (7)★ |
|
|
| 83 |
0.2%★
|
23★ | 0.2% (1)★ |
|
|
| 84 |
0.2%★
|
32★ | 0.2% (1)★ |
|
|
| 85 |
0.2%★
|
34★ | 0.2% (1)★ |
|
|
| 86 |
0.2%★
|
36★ | 0.2% (1)★ |
|
|
| 87 |
0.2%★
|
37★ | 0.2% (1)★ |
|
|
| 88 |
0.2%★
|
38★ | 0.2% (1)★ |
|
|
| 89 |
0.2%★
|
39★ | 0.2% (1)★ |
|
|
| 90 |
0.2%★
|
14★ | 0.2% (1)★ |
|
|
| 91 |
0.2%★
|
42★ | 0.2% (1)★ |
|
|
| 92 |
0.2%★
|
45★ | 0.2% (1)★ |
|
|
| 93 |
0.2%★
|
46★ | 0.2% (1)★ |
|
|
| 94 |
0.2%★
|
47★ | 0.2% (1)★ |
|
|
| 95 |
0.2%★
|
48★ | 0.2% (1)★ |
|
|
| 96 |
0.2%★
|
52★ | 0.2% (1)★ |
|
|
| 97 |
0.2%★
|
53★ | 0.2% (1)★ |
|
|
| 98 |
0.2%★
|
17★ | 0.2% (1)★ |
|
|
| 99 |
0.2%★
|
54★ | 0.2% (1)★ |
|
|
| 100 |
0.2%★
|
55★ | 0.2% (1)★ |
|
|
| 101 |
0.2%★
|
56★ | 0.2% (1)★ |
|
|
| 102 |
0.2%★
|
59★ | 0.2% (1)★ |
|
|
| 103 |
0.2%★
|
60★ | 0.2% (1)★ |
|
|
| 104 |
0.2%★
|
71★ | 0.2% (1)★ |
|
|
| 105 |
0.2%★
|
72★ | 0.2% (1)★ |
|
|
| 106 |
0.2%★
|
77★ | 0.2% (1)★ |
|
|
| 107 |
0.2%★
|
78★ | 0.2% (1)★ |
|
|
| 108 |
0.2%★
|
80★ | 0.2% (1)★ |
|
|
| 109 |
0.2%★
|
82★ | 0.2% (1)★ |
|
|
| 110 |
0.2%★
|
85★ | 0.2% (1)★ |
|
|
| 111 |
0.2%★
|
86★ | 0.2% (1)★ |
|
|
| 112 |
0.2%★
|
92★ | 0.2% (1)★ |
|
|
| 113 |
0.2%★
|
26★ | 0.2% (1)★ |
|
|
| 114 |
0.1%★
|
105★ | 0.2% (1)★ |
|
|
| 115 |
0.1%★
|
107★ | 0.2% (1)★ |
|
|
| 116 |
0.1%★
|
106★ | 0.2% (1)★ |
|
|
| 117 |
0.1%★
|
108★ | 0.2% (1)★ |
|
|
| 118 |
0.1%★
|
110★ | 0.2% (1)★ |
|
|
| 119 |
0.1%★
|
111★ | 0.2% (1)★ |
|
|
| 120 |
0.1%★
|
5★ | 1.5% (7)★ |
|
|
| 121 |
0.1%★
|
7★ | 1.7% (8)★ |
|
|
| 122 |
0.1%★
|
4★ | 1.1% (5)★ |
|
|
| 123 |
0.0%★
|
64★ | 1.9% (9)★ |
|
|
| 124 |
0.0%★
|
17★ | 0.6% (3)★ |
|
|
| 125 |
0.0%★
|
28★ | 0.4% (2)★ |
|
|
| 126 |
0.0%★
|
42★ | 0.4% (2)★ |
|
|
| 127 |
0.0%★
|
76★ | 0.4% (2)★ |
|
|
| 128 |
0.0%★
|
2★ | 0.2% (1)★ |
|
|
| 129 |
0.0%★
|
6★ | 0.2% (1)★ |
|
|
| 130 |
0.0%★
|
18★ | 0.2% (1)★ |
|
|
| 131 |
0.0%★
|
8★ | 0.2% (1)★ |
|
|
| 132 |
0.0%★
|
15★ | 0.2% (1)★ |
|
|
| 133 |
0.0%★
|
7★ | 0.2% (1)★ |
|
|
| 134 |
0.0%★
|
18★ | 0.2% (1)★ |
|
|
| 135 |
0.0%★
|
22★ | 0.2% (1)★ |
|
|
| 136 |
0.0%★
|
24★ | 0.2% (1)★ |
|
|
| 137 |
0.0%★
|
12★ | 0.2% (1)★ |
|
|
| 138 |
0.0%★
|
30★ | 0.2% (1)★ |
|
|
| 139 |
0.0%★
|
15★ | 0.2% (1)★ |
|
|
| 140 |
0.0%★
|
19★ | 0.2% (1)★ |
|
|
| 141 |
0.0%★
|
42★ | 0.2% (1)★ |
|
|
| 142 |
0.0%★
|
46★ | 0.2% (1)★ |
|
|
| 143 |
0.0%★
|
26★ | 0.2% (1)★ |
|
|
| 144 |
0.0%★
|
27★ | 0.2% (1)★ |
|
|
| 145 |
0.0%★
|
28★ | 0.2% (1)★ |
|
|
| 146 |
0.0%★
|
29★ | 0.2% (1)★ |
|
|
| 147 |
0.0%★
|
30★ | 0.2% (1)★ |
|
|
| 148 |
0.0%★
|
31★ | 0.2% (1)★ |
|
|
| 149 |
0.0%★
|
32★ | 0.2% (1)★ |
|
|
| 150 |
0.0%★
|
34★ | 0.2% (1)★ |
|
|
| 151 |
0.0%★
|
35★ | 0.2% (1)★ |
|
|
| 152 |
0.0%★
|
36★ | 0.2% (1)★ |
|
|
| 153 |
0.0%★
|
37★ | 0.2% (1)★ |
|
|
| 154 |
0.0%★
|
41★ | 0.2% (1)★ |
|
|
| 155 |
0.0%★
|
42★ | 0.2% (1)★ |
|
|
| 156 |
0.0%★
|
46★ | 0.2% (1)★ |
|
|
| 157 |
0.0%★
|
54★ | 0.2% (1)★ |
|
|
| 158 |
0.0%★
|
56★ | 0.2% (1)★ |
|
|
| 159 |
0.0%★
|
60★ | 0.2% (1)★ |
|
|
| 160 |
0.0%★
|
62★ | 0.2% (1)★ |
|
|
| 161 |
0.0%★
|
63★ | 0.2% (1)★ |
|
|
| 162 |
0.0%★
|
72★ | 0.2% (1)★ |
|
|
| 163 |
0.0%★
|
85★ | 0.2% (1)★ |
|
|
| 164 |
0.0%★
|
87★ | 0.2% (1)★ |
|
|
| 165 |
0.0%★
|
88★ | 0.2% (1)★ |
|
|
| 166 |
0.0%★
|
91★ | 0.2% (1)★ |
|
|
| 167 |
0.0%★
|
93★ | 0.2% (1)★ |
|
|
| 168 |
0.0%★
|
95★ | 0.2% (1)★ |
|
|
| 169 |
0.0%★
|
99★ | 0.2% (1)★ |
|
|
| 170 |
0.0%★
|
101★ | 0.2% (1)★ |
|
|
| 171 |
0.0%★
|
102★ | 0.2% (1)★ |
|
|
| 172 |
0.0%★
|
104★ | 0.2% (1)★ |
|
|
| 173 |
0.0%★
|
105★ | 0.2% (1)★ |
|
|
| 174 |
0.0%★
|
106★ | 0.2% (1)★ |
|
|
| 175 |
0.0%★
|
108★ | 0.2% (1)★ |
|
|
| 176 |
0.0%★
|
110★ | 0.2% (1)★ |
|
|
| 177 |
0.0%★
|
113★ | 0.2% (1)★ |
|
|
| 178 |
0.0%★
|
119★ | 0.2% (1)★ |
|
|
| 179 |
0.0%★
|
120★ | 0.2% (1)★ |
|
|
| 180 |
0.0%★
|
126★ | 0.2% (1)★ |
|
|
| 181 |
0.0%★
|
127★ | 0.2% (1)★ |
|
|
| 182 |
0.0%★
|
129★ | 0.2% (1)★ |
|
|
| 183 |
0.0%★
|
71★ | 0.2% (1)★ |
|
|
| 184 |
0.0%★
|
84★ | 0.2% (1)★ |
|
|
| 185 |
0.0%★
|
92★ | 0.2% (1)★ |
|
|
| 186 |
0.0%★
|
94★ | 0.2% (1)★ |
|
|
| 187 |
0.0%★
|
109★ | 0.2% (1)★ |
|
|
| 188 |
0.0%★
|
114★ | 0.2% (1)★ |
|
|
| 189 |
0.0%★
|
116★ | 0.2% (1)★ |
|
|
| 190 |
0.0%★
|
121★ | 0.2% (1)★ |
|
|
| 191 |
0.0%★
|
133★ | 0.2% (1)★ |
|
|
| 192 |
0.0%★
|
82★ | 0.2% (1)★ |
|
|
| 193 |
0.0%★
|
86★ | 0.2% (1)★ |
|
|
| 194 |
0.0%★
|
107★ | 0.2% (1)★ |
|
|
| 195 |
0.0%★
|
128★ | 0.2% (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 Developer 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 Developer 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 Developer 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 Developer 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 19 unique brands mentioned across 5 AI models.
How many web sources were detected?
AI models cited 195 unique web sources (domains) when answering questions.
Which brands are mentioned most by AI models?
The top 3 most mentioned brands are GitHub (organization,product), Microsoft (organization,product), Kubernetes (product), based on analysis of 5 AI model responses.
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.