AI Tools for Marketers
AI mentions in answer for 1 question: "What are the proven best practices and strategies experts use for 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 |
OpenAI
organization
|
55.9%★
|
3★ | 11.5% (17)★ |
|
| 2 |
Microsoft
organization
|
52.6%★
|
1★ | 6.8% (10)★ |
|
| 3 |
Salesforce
organization
|
41.3%↓
|
16↑↑ | 6.1% (9)↑↑ |
|
| 4 |
Anthropic
organization
|
15.8%★
|
3★ | 4.1% (6)★ |
|
| 5 |
|
13.4%↑↑
|
13↑↑ | 4.1% (6)↑↑ |
|
| 6 |
Semrush
product
|
8.7%★
|
12★ | 4.1% (6)★ |
|
| 7 |
Ahrefs
product
|
8.4%★
|
13★ | 4.1% (6)★ |
|
| 8 |
Marketo
product
|
7.9%↑↑
|
15↓ | 4.1% (6)↑↑ |
|
| 9 |
Google AI
organization
|
6.8%★
|
4★ | 2.0% (3)★ |
|
| 10 |
|
6.5%★
|
18★ | 3.4% (5)★ |
|
| 11 |
Optimizely
product
|
6.5%↑↑
|
23↑↑ | 3.4% (5)↑↑ |
|
| 12 |
|
6.3%★
|
19★ | 3.4% (5)★ |
|
| 13 |
Synthesia
product
|
6.2%↑↑
|
11↑↑ | 2.7% (4)↑↑ |
|
| 14 |
Midjourney
product
|
5.0%★
|
7★ | 2.0% (3)★ |
|
| 15 |
|
3.7%★
|
20★ | 2.0% (3)★ |
|
| 16 |
|
3.6%★
|
21★ | 2.0% (3)★ |
|
| 17 |
Drift
product
|
3.5%★
|
22★ | 2.0% (3)★ |
|
| 18 |
Pika
product
|
3.2%★
|
9★ | 1.4% (2)★ |
|
| 19 |
ElevenLabs
product
|
2.9%★
|
11★ | 1.4% (2)★ |
|
| 20 |
DALL-E 3
product
|
2.9%★
|
8★ | 1.4% (2)★ |
|
| 21 |
Runway
product
|
2.8%★
|
9★ | 1.4% (2)★ |
|
| 22 |
Asana
organization
|
2.3%↓
|
24↑↑ | 1.4% (2)↑ |
|
| 23 |
Adobe Firefly
product
|
2.0%★
|
5★ | 0.7% (1)★ |
|
| 24 |
Salesforce Marketing Cloud
product
|
1.3%↑↑
|
16↓ | 0.7% (1)↑ |
|
| 25 |
Demandbase
organization
|
0.7%↓
|
2↑↑ | 2.7% (4)↑↑ |
|
| 26 |
Jasper AI
product
|
0.5%★
|
3★ | 1.4% (2)★ |
|
| 27 |
Jasper
product
|
0.4%↓
|
4↑↑ | 1.4% (2)↓ |
|
| 28 |
Surfer SEO
product
|
0.3%↓
|
6↑↑ | 1.4% (2)↑ |
|
| 29 |
ChatGPT
product
|
0.3%↓
|
14↑↑ | 1.4% (2)↑ |
|
| 30 |
Copy.ai
product
|
0.1%↓
|
4↑↑ | 0.7% (1)↑ |
|
| 31 |
Grammarly
product
|
0.1%↓
|
5↑↑ | 0.7% (1)↑ |
|
| 32 |
Dynamic Yield
product
|
0.1%↓
|
7↓ | 0.7% (1)↑ |
|
| 33 |
Persado
product
|
0.1%↓
|
9↓ | 0.7% (1)↑ |
|
| 34 |
Google Analytics 4
product
|
0.1%↓
|
10↑↑ | 0.7% (1)↑ |
|
| 35 |
Tableau
product
|
0.0%↓
|
11↑↑ | 0.7% (1)↓ |
|
| 36 |
Brandwatch
product
|
0.0%★
|
12★ | 0.7% (1)★ |
|
| 37 |
ActiveCampaign
product
|
0.0%↓
|
14↑↑ | 0.7% (1)↑ |
|
| 38 |
Seventh Sense
product
|
0.0%↓
|
15↑↑ | 0.7% (1)↑ |
|
| 39 |
Clearscope
product
|
0.0%★
|
18★ | 0.7% (1)★ |
|
| 40 |
MarketMuse
product
|
0.0%★
|
19★ | 0.7% (1)★ |
|
| 41 |
Canva
product
|
0.0%★
|
21★ | 0.7% (1)★ |
|
| 42 |
Lately.ai
product
|
0.0%★
|
22★ | 0.7% (1)★ |
|
| 43 |
Google Ads Smart Bidding
product
|
0.0%★
|
24★ | 0.7% (1)★ |
|
| 44 |
Adext AI
product
|
0.0%★
|
25★ | 0.7% (1)★ |
|
| 45 |
Albert AI
product
|
0.0%★
|
26★ | 0.7% (1)★ |
|
| 46 |
ChatGPT API
product
|
0.0%★
|
29★ | 0.7% (1)★ |
|
| 47 |
ManyChat
product
|
0.0%★
|
31★ | 0.7% (1)★ |
|
| 48 |
Descript
product
|
0.0%★
|
36★ | 0.7% (1)★ |
|
| 49 |
Mixpanel
product
|
0.0%↓
|
38↑↑ | 0.7% (1)↑ |
|
| 50 |
Amplitude
product
|
0.0%★
|
39★ | 0.7% (1)★ |
|
| 51 |
Content Marketing Institute
organization
|
0.0%↓
|
37↑↑ | 0.7% (1)↑ |
|
| 52 |
Marketing AI Institute
organization
|
0.0%↓
|
41↑↑ | 0.7% (1)↑ |
|
| 53 |
Gartner
organization
|
0.0%↓
|
42↑↑ | 0.7% (1)↑ |
|
| 54 |
Canva AI
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 55 |
Phrasee
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 56 |
Google Data Studio
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 57 |
Zapier
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 58 |
Gumloop
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 59 |
MarTech
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 60 |
QSS Technosoft
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 61 |
Applied AI Co
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 62 |
The MarTech Conference
event
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 63 |
Content Marketing World
event
|
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.