AI Tools for Marketers
AI mentions in answer for 1 question: "What tools, resources, or frameworks are essential for success with AI Tools for Marketers?"
2025-10-24
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 |
Zapier
organization
|
58.6%↑↑
|
15↑↑ | 10.8% (14)↑↑ |
|
| 2 |
Smart Insights
organization
|
17.7%↑↑
|
2↑↑ | 3.1% (4)↑↑ |
|
| 3 |
ChatGPT
product
|
11.9%↑↑
|
5↑↑ | 3.8% (5)↑↑ |
|
| 4 |
Optimizely
product
|
10.1%★
|
2★ | 2.3% (3)★ |
|
| 5 |
Claude
product
|
8.7%★
|
6★ | 3.1% (4)★ |
|
| 6 |
Segment
organization
|
8.2%↑↑
|
5↑↑ | 3.1% (4)↑↑ |
|
| 7 |
|
6.7%↑↑
|
4↓ | 2.3% (3)↑↑ |
|
| 8 |
|
5.3%★
|
9★ | 2.3% (3)★ |
|
| 9 |
|
5.1%↑↑
|
8↑↑ | 2.3% (3)↑↑ |
|
| 10 |
Marketing AI Institute
organization
|
4.7%↓
|
20↑↑ | 3.1% (4)↓ |
|
| 11 |
|
4.6%↑↑
|
10↓ | 2.3% (3)↑↑ |
|
| 12 |
Clearscope
product
|
4.5%↑↑
|
11↓ | 2.3% (3)↑↑ |
|
| 13 |
Midjourney
product
|
3.7%↑↑
|
7↑↑ | 1.5% (2)↑↑ |
|
| 14 |
HubSpot Academy
organization
|
3.6%↑↑
|
21↓ | 2.3% (3)↑↑ |
|
| 15 |
|
2.8%★
|
13★ | 1.5% (2)★ |
|
| 16 |
|
2.7%★
|
14★ | 1.5% (2)★ |
|
| 17 |
2.6%★
|
16★ | 1.5% (2)★ |
|
|
| 18 |
Hotjar
product
|
1.4%↑↑
|
12↓ | 0.8% (1)↑ |
|
| 19 |
ISO/IEC 42001:2023
product
|
1.3%★
|
17★ | 0.8% (1)★ |
|
| 20 |
GDPR
product
|
1.3%★
|
18★ | 0.8% (1)★ |
|
| 21 |
California CCPA/CPRA Regulations
product
|
1.2%★
|
19★ | 0.8% (1)★ |
|
| 22 |
DeepLearning.AI
organization
|
1.2%★
|
22★ | 0.8% (1)★ |
|
| 23 |
|
0.9%↓
|
5↑↑ | 3.1% (4)↑↑ |
|
| 24 |
|
0.9%↓
|
11↑↑ | 3.8% (5)↑↑ |
|
| 25 |
Surfer SEO
product
|
0.5%↓
|
10↑↑ | 3.1% (4)↑↑ |
|
| 26 |
|
0.3%★
|
2★ | 1.5% (2)★ |
|
| 27 |
Synthesia
product
|
0.3%↓
|
10↑↑ | 3.1% (4)↑ |
|
| 28 |
Intercom
product
|
0.3%↑↑
|
15↓ | 1.5% (2)↑↑ |
|
| 29 |
Tidio
product
|
0.2%↑↑
|
7↓ | 1.5% (2)↑↑ |
|
| 30 |
Optmyzr
product
|
0.1%★
|
3★ | 0.8% (1)★ |
|
| 31 |
Copy.ai
product
|
0.1%↓
|
2↓ | 0.8% (1)↑ |
|
| 32 |
ManyChat
product
|
0.1%↓
|
6↓ | 0.8% (1)↑ |
|
| 33 |
Writesonic
product
|
0.1%↓
|
5↑↑ | 0.8% (1)↑ |
|
| 34 |
Make
organization
|
0.1%★
|
41★ | 1.5% (2)★ |
|
| 35 |
DALL-E 3
product
|
0.1%↓
|
8↑↑ | 0.8% (1)↑ |
|
| 36 |
Runway ML
product
|
0.1%↓
|
10↑↑ | 0.8% (1)↑ |
|
| 37 |
Frase
product
|
0.0%↓
|
12↓ | 0.8% (1)↑ |
|
| 38 |
MarketMuse
product
|
0.0%↓
|
13↓ | 0.8% (1)↑ |
|
| 39 |
|
0.0%↓
|
16↓ | 0.8% (1)↑ |
|
| 40 |
|
0.0%↓
|
17↓ | 0.8% (1)↑ |
|
| 41 |
|
0.0%↓
|
18↓ | 0.8% (1)↑ |
|
| 42 |
|
0.0%★
|
19★ | 0.8% (1)★ |
|
| 43 |
Seventh Sense
product
|
0.0%↓
|
20↓ | 0.8% (1)↑ |
|
| 44 |
Phrasee
product
|
0.0%↓
|
21↓ | 0.8% (1)↑ |
|
| 45 |
|
0.0%★
|
23★ | 0.8% (1)★ |
|
| 46 |
Tableau
product
|
0.0%↓
|
25↑↑ | 0.8% (1)↑ |
|
| 47 |
Polymer
product
|
0.0%★
|
26★ | 0.8% (1)★ |
|
| 48 |
Mixpanel
product
|
0.0%↓
|
27↓ | 0.8% (1)↑ |
|
| 49 |
Coursera AI for Everyone
product
|
0.0%↓
|
31↓ | 0.8% (1)↑ |
|
| 50 |
AI Marketing Canvas
product
|
0.0%↓
|
34↓ | 0.8% (1)↑ |
|
| 51 |
LinkedIn Learning
product
|
0.0%↓
|
32↓ | 0.8% (1)↑ |
|
| 52 |
r/MarketingAutomation
product
|
0.0%↓
|
35↓ | 0.8% (1)↑ |
|
| 53 |
OpenAI Prompt Engineering Guide
product
|
0.0%↓
|
36↓ | 0.8% (1)↑ |
|
| 54 |
Learn Prompting
product
|
0.0%↓
|
38↓ | 0.8% (1)↑ |
|
| 55 |
Prompt Engineering Guide
product
|
0.0%↓
|
37↓ | 0.8% (1)↓ |
|
| 56 |
Google Tag Manager
product
|
0.0%↓
|
43↓ | 0.8% (1)↑ |
|
| 57 |
PromptBase
product
|
0.0%↓
|
39↓ | 0.8% (1)↑ |
|
| 58 |
OpenAI API
organization
|
0.0%★
|
44★ | 0.8% (1)★ |
|
| 59 |
Anthropic API
organization
|
0.0%★
|
45★ | 0.8% (1)★ |
|
| 60 |
Google Cloud AI
organization
|
0.0%★
|
46★ | 0.8% (1)★ |
|
| 61 |
Azure AI Services
organization
|
0.0%★
|
47★ | 0.8% (1)★ |
|
| 62 |
G2
product
|
0.0%★
|
48★ | 0.8% (1)★ |
|
| 63 |
Capterra
product
|
0.0%★
|
49★ | 0.8% (1)★ |
|
| 64 |
TrustRadius
product
|
0.0%★
|
50★ | 0.8% (1)★ |
|
| 65 |
Product Hunt
product
|
0.0%★
|
51★ | 0.8% (1)★ |
|
| 66 |
Canva AI
product
|
0.0%↓
|
52↑↑ | 0.8% (1)↑ |
|
| 67 |
Descript
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 68 |
HeyGen
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 69 |
Microsoft Power BI
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 70 |
Improvado
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 71 |
Crayon
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 72 |
Brandwatch
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 73 |
MonkeyLearn
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 74 |
Persado
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 75 |
Later
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 76 |
Drift
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 77 |
The RACE Framework
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 78 |
The See-Think-Do-Care Framework
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 79 |
The AI Adoption Maturity Model
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 80 |
CRISP-DM
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 81 |
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
|
| 82 |
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
|
| 83 |
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
|
| 84 |
AI Marketing Engineers
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 85 |
Product Hunt AI Tools
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 86 |
The Marketing AI Show Newsletter
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 87 |
Ben's Bites
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 88 |
The Neuron
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 89 |
TLDR AI
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 90 |
FlowGPT
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 91 |
Make (formerly Integromat)
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 92 |
n8n
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 93 |
Amplitude
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 94 |
There's An AI For That
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 95 |
AI Tools Directory
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 96 |
Future Tools
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 97 |
G2 AI Marketing Software
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 98 |
Harvard Division of Continuing Education
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 99 |
SurveyMonkey
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 100 |
Avinash Kaushik
person
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 101 |
Christina Inge
person
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
More Reports
View Aggregate Report (All 5 Questions)Individual Question Reports:
Frequently Asked Questions
What is this AI Mentions Report about?
What questions were analyzed in this report?
- "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?
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.