AI Tools for Marketers
AI mentions in answer for 1 question: "What do industry leaders recommend as the first steps when starting with AI Tools for Marketers?"
2025-10-24
50
Brands
70
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 |
HubSpot
organization
|
49.5%↑↑
|
1↑↑ | 7.6% (6)↑↑ |
|
| 2 |
OpenAI
organization
|
34.9%★
|
5★ | 12.7% (10)★ |
|
| 3 |
|
34.2%↓
|
7↑↑ | 6.3% (5)↑↑ |
|
| 4 |
Google
organization
|
34.2%★
|
3★ | 10.1% (8)★ |
|
| 5 |
Microsoft
organization
|
31.1%★
|
4★ | 10.1% (8)★ |
|
| 6 |
|
11.4%★
|
8★ | 5.1% (4)★ |
|
| 7 |
ICO
organization
|
6.4%★
|
6★ | 2.5% (2)★ |
|
| 8 |
5.7%★
|
2★ | 1.3% (1)★ |
|
|
| 9 |
5.4%★
|
9★ | 2.5% (2)★ |
|
|
| 10 |
Demandbase
organization
|
2.7%★
|
1★ | 7.6% (6)★ |
|
| 11 |
Sprinklr
organization
|
1.4%★
|
2★ | 6.3% (5)★ |
|
| 12 |
|
0.4%★
|
2★ | 2.5% (2)★ |
|
| 13 |
MarketingProfs
organization
|
0.2%★
|
10★ | 2.5% (2)★ |
|
| 14 |
Jasper
product
|
0.1%★
|
3★ | 1.3% (1)★ |
|
| 15 |
|
0.1%★
|
4★ | 1.3% (1)★ |
|
| 16 |
Canva's AI features
product
|
0.1%↓
|
5↑ | 1.3% (1)↑ |
|
| 17 |
Neil Patel
person
|
0.1%↓
|
6↑↑ | 1.3% (1)↑ |
|
| 18 |
Ann Handley
person
|
0.1%★
|
9★ | 1.3% (1)★ |
|
| 19 |
Content Marketing Institute
organization
|
0.1%★
|
11★ | 1.3% (1)★ |
|
| 20 |
Gartner
organization
|
0.1%★
|
12★ | 1.3% (1)★ |
|
| 21 |
|
0.1%★
|
13★ | 1.3% (1)★ |
|
| 22 |
ActiveCampaign
product
|
0.1%★
|
14★ | 1.3% (1)★ |
|
| 23 |
Semrush
organization
|
0.1%★
|
15★ | 1.3% (1)★ |
|
| 24 |
Surfer SEO
product
|
0.1%↓
|
16↑↑ | 1.3% (1)↓ |
|
| 25 |
|
0.1%★
|
17★ | 1.3% (1)★ |
|
| 26 |
|
0.1%★
|
18★ | 1.3% (1)★ |
|
| 27 |
|
0.1%★
|
19★ | 1.3% (1)★ |
|
| 28 |
0.1%★
|
20★ | 1.3% (1)★ |
|
|
| 29 |
r/MarketingAutomation
event
|
0.1%★
|
21★ | 1.3% (1)★ |
|
| 30 |
Forrester Research
organization
|
0.1%↓
|
23↑↑ | 1.3% (1)↑ |
|
| 31 |
Marketing AI Conference
event
|
0.1%★
|
22★ | 1.3% (1)★ |
|
| 32 |
Jasper AI
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 33 |
Copy.ai
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 34 |
Adobe Firefly
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 35 |
Google Gemini
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 36 |
Microsoft Copilot
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 37 |
Salesforce Einstein
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 38 |
Chatfuel
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 39 |
Albert.ai
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 40 |
Optmyzr
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 41 |
Synthesia
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 42 |
Zapier
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 43 |
Algolia
product
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 44 |
MarketingAI Institute
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 45 |
McKinsey & Company
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 46 |
Taums.ai
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 47 |
Concord USA
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 48 |
HBS Online
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 49 |
Agile Sherpas
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
| 50 |
Zeta Global
organization
|
0.0%↓↓
|
-1 | 0.0% (0)↓↓ |
|
More Reports
View Aggregate Report (All 5 Questions)Individual Question Reports:
1.
What are the proven best practices and strategies experts use for AI Tools for M...
2.
What tools, resources, or frameworks are essential for success with AI Tools for...
3.
What are the most common mistakes people make with AI Tools for Marketers and ho...
4.
What metrics or KPIs should be tracked to measure success in AI Tools for Market...
5.
What do industry leaders recommend as the first steps when starting with AI Tool... (current)
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 50 unique brands mentioned across 3 AI models.
How many web sources were detected?
AI models cited 70 unique web sources (domains) when answering questions.
Which brands are mentioned most by AI models?
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.