AI Tools for Marketers
AI mentions in answer for 1 question: "What are the most common mistakes people make with AI Tools for Marketers and how can they be avoided?"
2025-10-24
49
Brands
80
Sources
1
Questions
3
AI Models
About This Report
This report was generated for brands and citations mentioned in answers about AI Tools for Marketers 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 proven best practices and strategies experts use for AI Tools for Marketers?" (view report)
- "What tools, resources, or frameworks are essential for success with AI Tools for Marketers?" (view report)
- "What are the most common mistakes people make with AI Tools for Marketers and how can they be avoided?" (view report)
- "What metrics or KPIs should be tracked to measure success in AI Tools for Marketers?" (view report)
- "What do industry leaders recommend as the first steps when starting with AI Tools for Marketers?" (view report)
Brand Rankings
Brands mentioned by AI models, ranked by share of voice
| # | Brand | Voice | Position | Mentions | AI |
|---|---|---|---|---|---|
| 1 |
|
55.9%↑↑
|
2↓ | 17.2% (11)↑↑ |
|
| 2 |
24.2%★
|
1★ | 4.7% (3)★ |
|
|
| 3 |
Claude
organization
|
16.7%↓
|
3↑ | 6.3% (4)↑ |
|
| 4 |
Mailchimp
organization
|
6.2%★
|
5★ | 3.1% (2)★ |
|
| 5 |
|
6.1%↑↑
|
4↓ | 3.1% (2)↑↑ |
|
| 6 |
Kinetic319
organization
|
2.4%↓
|
1↑ | 9.4% (6)↑↑ |
|
| 7 |
|
0.5%↓
|
2↑↑ | 4.7% (3)↓ |
|
| 8 |
Diamond Group
organization
|
0.5%★
|
2★ | 3.1% (2)★ |
|
| 9 |
Gartner
organization
|
0.3%★
|
1★ | 1.6% (1)★ |
|
| 10 |
Jasper
organization
|
0.2%↓
|
4↑↑ | 3.1% (2)↓ |
|
| 11 |
|
0.2%↓
|
8↓ | 3.1% (2)↓ |
|
| 12 |
Marketing AI Institute
organization
|
0.1%★
|
15★ | 3.1% (2)★ |
|
| 13 |
Surfer SEO
product
|
0.1%↓
|
20↑↑ | 3.1% (2)↑ |
|
| 14 |
International Association of Privacy Professionals
organization
|
0.1%★
|
6★ | 1.6% (1)★ |
|
| 15 |
Microsoft Bing Chat
organization
|
0.1%★
|
7★ | 1.6% (1)★ |
|
| 16 |
G2
organization
|
0.1%↓
|
10↑↑ | 1.6% (1)↑ |
|
| 17 |
Capterra
organization
|
0.1%↓
|
11↑↑ | 1.6% (1)↑ |
|
| 18 |
Salesforce
product
|
0.1%↓
|
12↓ | 1.6% (1)↑ |
|
| 19 |
Coursera
product
|
0.1%★
|
13★ | 1.6% (1)★ |
|
| 20 |
LinkedIn Learning
product
|
0.1%★
|
14★ | 1.6% (1)★ |
|
| 21 |
MarTech Conference
event
|
0.1%★
|
16★ | 1.6% (1)★ |
|
| 22 |
Anyword
product
|
0.1%↓
|
17↑↑ | 1.6% (1)↑ |
|
| 23 |
Optimizely
product
|
0.1%★
|
18★ | 1.6% (1)★ |
|
| 24 |
|
0.1%★
|
19★ | 1.6% (1)★ |
|
| 25 |
Clearscope
product
|
0.1%↓
|
21↑↑ | 1.6% (1)↑ |
|
| 26 |
Frase
product
|
0.1%↓
|
22↑↑ | 1.6% (1)↑ |
|
| 27 |
MarketingProfs
organization
|
0.1%↓
|
23↑↑ | 1.6% (1)↓ |
|
| 28 |
Zapier
organization
|
0.1%★
|
24★ | 1.6% (1)★ |
|
| 29 |
AI Ethics Lab
organization
|
0.1%★
|
25★ | 1.6% (1)★ |
|
| 30 |
Ethics Hub
organization
|
0.1%★
|
26★ | 1.6% (1)★ |
|
| 31 |
Copy.ai
product
|
0.1%↓
|
27↑↑ | 1.6% (1)↓ |
|
| 32 |
Hootsuite
product
|
0.1%↓
|
29↑↑ | 1.6% (1)↑ |
|
| 33 |
Lately
product
|
0.1%↓
|
28↑↑ | 1.6% (1)↑ |
|
| 34 |
MarketMuse
product
|
0.1%↓
|
30↑↑ | 1.6% (1)↑ |
|
| 35 |
Content Marketing Institute
organization
|
0.1%↓
|
31↑↑ | 1.6% (1)↑ |
|
| 36 |
ChatGPT Enterprise
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 37 |
Claude for Work
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 38 |
Google Search Console
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 39 |
Buffer
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 40 |
Midjourney
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 41 |
DALL-E
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 42 |
Stable Diffusion
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 43 |
Descript
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 44 |
Runway
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 45 |
Synthesia
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 46 |
Edelman
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 47 |
MIT Technology Review
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 48 |
AI Marketing Institute
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 49 |
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
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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 Tools for Marketers. 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 5 questions:
- "What are the proven best practices and strategies experts use for AI Tools for Marketers?" (view report)
- "What tools, resources, or frameworks are essential for success with AI Tools for Marketers?" (view report)
- "What are the most common mistakes people make with AI Tools for Marketers and how can they be avoided?" (view report)
- "What metrics or KPIs should be tracked to measure success in AI Tools for Marketers?" (view report)
- "What do industry leaders recommend as the first steps when starting with AI Tools for Marketers?" (view report)
How many brands were analyzed in this report?
This report analyzed 49 unique brands mentioned across 3 AI models.
How many web sources were detected?
AI models cited 80 unique web sources (domains) when answering questions.
Which brands are mentioned most by AI models?
The top 3 most mentioned brands are OpenAI (organization,product), NIST AI Risk Management Framework (product), Claude (organization), 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.