AI Mention Tracking Tools
AI mentions in answer for 1 question: "Which tools provide real-time AI monitoring and alerts?"
2025-12-24
70
Brands
61
Sources
1
Questions
3
AI Models
About This Report
This report was generated for brands and citations mentioned in answers about AI Mention Tracking Tools from 3 AI models (namely: Perplexity Sonar (with search) (latest), Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest). AI models were asked the following questions:
- "What are the top AI chat monitoring tools in 2025?" (view report)
- "How can I track AI chatbot responses across platforms?" (view report)
- "Which tools provide real-time AI monitoring and alerts?" (view report)
Brand Rankings
Brands mentioned by AI models, ranked by share of voice
| # | Brand | Voice | Position | Mentions | AI |
|---|---|---|---|---|---|
| 1 |
Arize
organization
|
58.6%↑↑
|
14↑↑ | 6.1% (8)↑↑ |
|
| 2 |
New Relic
organization
|
54.7%★
|
2★ | 6.1% (8)★ |
|
| 3 |
|
48.6%★
|
21★ | 6.9% (9)★ |
|
| 4 |
|
44.5%↑↑
|
13↑↑ | 3.1% (4)↑↑ |
|
| 5 |
Grafana
product
|
33.9%★
|
4★ | 5.3% (7)★ |
|
| 6 |
Prometheus
product
|
25.6%★
|
5★ | 4.6% (6)★ |
|
| 7 |
AWS
organization
|
20.5%↑↑
|
7↓ | 3.8% (5)↑↑ |
|
| 8 |
|
20.1%↑↑
|
12↑↑ | 3.1% (4)↑↑ |
|
| 9 |
|
18.1%↑↑
|
13↑↑ | 3.1% (4)↑↑ |
|
| 10 |
|
16.3%↑↑
|
17↑↑ | 3.1% (4)↑↑ |
|
| 11 |
Fiddler
organization
|
15.4%↑↑
|
18↑↑ | 3.1% (4)↑↑ |
|
| 12 |
OpenTelemetry
product
|
14.3%★
|
27★ | 3.1% (4)★ |
|
| 13 |
Datadog
organization
|
12.6%↑↑
|
1↓ | 0.8% (1)↑ |
|
| 14 |
|
12.5%★
|
16★ | 3.1% (4)★ |
|
| 15 |
|
12.1%★
|
19★ | 3.1% (4)★ |
|
| 16 |
Google
organization
|
10.6%↓
|
11↑↑ | 2.3% (3)↓ |
|
| 17 |
Honeycomb
organization
|
9.8%★
|
5★ | 1.5% (2)★ |
|
| 18 |
Azure Monitor
organization
|
7.6%★
|
9★ | 1.5% (2)★ |
|
| 19 |
|
7.3%★
|
8★ | 1.5% (2)★ |
|
| 20 |
|
5.7%★
|
20★ | 1.5% (2)★ |
|
| 21 |
|
5.7%★
|
21★ | 1.5% (2)★ |
|
| 22 |
|
5.5%★
|
23★ | 1.5% (2)★ |
|
| 23 |
|
5.4%★
|
25★ | 1.5% (2)★ |
|
| 24 |
|
5.3%★
|
27★ | 1.5% (2)★ |
|
| 25 |
AWS CloudWatch
organization
|
4.5%★
|
6★ | 0.8% (1)★ |
|
| 26 |
Google Cloud Monitoring
organization
|
3.6%★
|
10★ | 0.8% (1)★ |
|
| 27 |
|
2.7%★
|
24★ | 0.8% (1)★ |
|
| 28 |
|
2.7%★
|
26★ | 0.8% (1)★ |
|
| 29 |
|
1.3%↑↑
|
8↓ | 3.1% (4)↑↑ |
|
| 30 |
Evidently
organization
|
1.2%↑↑
|
9↓ | 3.1% (4)↑↑ |
|
| 31 |
LangChain
organization
|
1.0%↑↑
|
8↑↑ | 2.3% (3)↑↑ |
|
| 32 |
Marketer Milk
organization
|
0.5%↑↑
|
13↑↑ | 2.3% (3)↑ |
|
| 33 |
|
0.3%★
|
9★ | 1.5% (2)★ |
|
| 34 |
OpenAI
organization
|
0.2%↓
|
5↓ | 0.8% (1)↓ |
|
| 35 |
|
0.2%↓
|
12↑↑ | 1.5% (2)↑↑ |
|
| 36 |
|
0.2%★
|
14★ | 1.5% (2)★ |
|
| 37 |
|
0.2%★
|
15★ | 1.5% (2)★ |
|
| 38 |
|
0.2%↑↑
|
20↑↑ | 1.5% (2)↑↑ |
|
| 39 |
MLflow
product
|
0.2%★
|
23★ | 1.5% (2)★ |
|
| 40 |
ChatGPT
product
|
0.2%↓
|
11↑↑ | 0.8% (1)↓ |
|
| 41 |
Nimt.ai
product
|
0.2%↑↑
|
12↑ | 0.8% (1)↑ |
|
| 42 |
Mentions
product
|
0.2%↓
|
14↑↑ | 0.8% (1)↓ |
|
| 43 |
LangSmith by LangChain
product
|
0.1%↓
|
10↑↑ | 0.8% (1)↑ |
|
| 44 |
|
0.1%↓
|
13↑↑ | 0.8% (1)↑ |
|
| 45 |
Phoenix by Arize
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 46 |
AWS SageMaker Model Monitor
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 47 |
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
|
| 48 |
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
|
| 49 |
Neptune.ai
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 50 |
Humanloop
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 51 |
InsightFinder
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 52 |
Relixir
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 53 |
Writesonic
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 54 |
Ziptie
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 55 |
Gemini
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 56 |
Claude
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 57 |
Perplexity AI
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 58 |
AI Product Rankings
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 59 |
Peec AI
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 60 |
Scrunch AI
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 61 |
AthenaHQ
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 62 |
BrandLight
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 63 |
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
|
| 64 |
Neptune
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 65 |
Anthropic
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 66 |
Perplexity
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 67 |
OMNIUS
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 68 |
Synthesia
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 69 |
TechRadar
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 70 |
BigSur
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
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 respond to questions related to AI Mention Tracking 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 top AI chat monitoring tools in 2025?" (view report)
- "How can I track AI chatbot responses across platforms?" (view report)
- "Which tools provide real-time AI monitoring and alerts?" (view report)
How many brands were analyzed in this report?
This report analyzed 70 unique brands mentioned across 3 AI models.
How many web sources were detected?
AI models cited 61 unique web sources (domains) when answering questions.
Which brands are mentioned most by AI models?
The top 3 most mentioned brands are Arize (organization), New Relic (organization), Monte Carlo (organization,product), based on analysis of 3 AI model responses.
How many AI models were analyzed?
This report analyzed responses from 3 AI models: Perplexity Sonar (with search) (latest), Anthropic Claude Sonnet (latest), OpenAI ChatGPT 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 (~92.3% weight)
• Perplexity Sonar (with search) (latest): 45M MAU (~4.6% weight)
• Anthropic Claude Sonnet (latest): 30M MAU (~3.1% 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 (~92.3% weight)
• Perplexity Sonar (with search) (latest): 45M MAU (~4.6% weight)
• Anthropic Claude Sonnet (latest): 30M MAU (~3.1% weight)
Brands appearing in top positions across high-traffic models achieve higher Share of Voice.