AI Mention Tracking Tools
AI mentions in answer for 1 question: "How can I track AI chatbot responses across platforms?"
2025-12-24
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 |
|
56.8%↑↑
|
10↑↑ | 12.5% (13)↑↑ |
|
| 2 |
|
47.8%↑↑
|
14↑↑ | 7.7% (8)↑↑ |
|
| 3 |
Google
organization
|
37.9%↓
|
3↑↑ | 9.6% (10)↑↑ |
|
| 4 |
OpenAI
organization
|
29.6%↑↑
|
6↑↑ | 10.6% (11)↑↑ |
|
| 5 |
|
20.8%★
|
5★ | 6.7% (7)★ |
|
| 6 |
|
11.2%★
|
14★ | 2.9% (3)★ |
|
| 7 |
Telegram Bot API
organization
|
9.2%★
|
2★ | 1.9% (2)★ |
|
| 8 |
|
7.3%★
|
6★ | 2.9% (3)★ |
|
| 9 |
|
6.6%★
|
9★ | 2.9% (3)★ |
|
| 10 |
|
6.3%★
|
3★ | 1.9% (2)★ |
|
| 11 |
Anthropic
organization
|
4.8%↑↑
|
7↑↑ | 1.9% (2)↓ |
|
| 12 |
|
4.6%★
|
8★ | 1.9% (2)★ |
|
| 13 |
LangSmith
product
|
4.0%↑↑
|
11↑↑ | 1.9% (2)↑ |
|
| 14 |
LangChain
organization
|
3.9%↑↑
|
12↑↑ | 1.9% (2)↑ |
|
| 15 |
Helicone
product
|
3.8%↑↑
|
13↑↑ | 1.9% (2)↑ |
|
| 16 |
|
0.8%★
|
12★ | 4.8% (5)★ |
|
| 17 |
|
0.5%★
|
3★ | 2.9% (3)★ |
|
| 18 |
|
0.4%↓
|
7↑↑ | 2.9% (3)↑↑ |
|
| 19 |
|
0.2%★
|
9★ | 1.9% (2)★ |
|
| 20 |
|
0.2%★
|
10★ | 1.9% (2)★ |
|
| 21 |
|
0.1%★
|
8★ | 1.0% (1)★ |
|
| 22 |
|
0.1%★
|
4★ | 1.0% (1)★ |
|
| 23 |
|
0.1%★
|
5★ | 1.0% (1)★ |
|
| 24 |
|
0.1%★
|
6★ | 1.0% (1)★ |
|
| 25 |
|
0.1%★
|
7★ | 1.0% (1)★ |
|
| 26 |
|
0.1%★
|
8★ | 1.0% (1)★ |
|
| 27 |
|
0.1%★
|
11★ | 1.0% (1)★ |
|
| 28 |
|
0.1%★
|
12★ | 1.0% (1)★ |
|
| 29 |
|
0.1%★
|
13★ | 1.0% (1)★ |
|
| 30 |
|
0.1%★
|
15★ | 1.0% (1)★ |
|
| 31 |
|
0.1%★
|
16★ | 1.0% (1)★ |
|
| 32 |
Google Analytics 4
product
|
0.1%★
|
17★ | 1.0% (1)★ |
|
| 33 |
Meta Business Suite
organization
|
0.1%★
|
18★ | 1.0% (1)★ |
|
| 34 |
Discord Developer Portal
organization
|
0.1%★
|
20★ | 1.0% (1)★ |
|
| 35 |
|
0.1%★
|
21★ | 1.0% (1)★ |
|
| 36 |
|
0.1%★
|
22★ | 1.0% (1)★ |
|
| 37 |
|
0.1%★
|
26★ | 1.0% (1)★ |
|
| 38 |
ChatHub
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 39 |
Poe
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 40 |
OpenRouter
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 41 |
Prompt Layer
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 42 |
Portkey
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 43 |
LiteLLM
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 44 |
Notion
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 45 |
Airtable
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 46 |
Google Sheets
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 47 |
ChatGPT Exporter
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 48 |
Save ChatGPT
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 49 |
Weights & Biases
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 50 |
MLflow
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 51 |
HumanFirst
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 52 |
Botpress Analytics
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 53 |
Track AI Answers
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 54 |
New Relic AI Monitoring
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 55 |
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
|
| 56 |
mSpy
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 57 |
Quora
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 58 |
Humanloop
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 59 |
Omnius
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 60 |
InsightFinder
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 61 |
Genezio
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?
What questions were analyzed in this report?
- "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?
How many web sources were detected?
Which brands are mentioned most by AI models?
How many AI models were analyzed?
What does "Share of Voice" mean and how is it calculated?
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.