AI Mentions & Sources Report for AI Tools for Marketers
This page provides details about marketingplatform.google.com (Tech Companies) which was ranked #3 out of 133 in the list of sources (3 citations (4.4% share)) in answers from AI models (Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest) when they were asked the following 1 question: "What tools, resources, or frameworks are essential for success with AI Tools for Marketers?" on Oct 24, 2025 by AI Chat Watch. This source is referenced for brands: Google Analytics 4.
| Model | Voice | Position | Citations |
|---|---|---|---|
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{{ getInfluenceForBot(bot.id) }} | {{ getPositionForBot(bot.id) }} | {{ getMentionsForBot(bot.id) }} |
| URL Path | Citations | Position |
|---|---|---|
| /about/analytics | 3 | 4.9 |
| Brand | Voice | Mentions |
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6.7% | 3 |
What tools, resources, or frameworks are essential for success with AI Tools for Marketers?
[...] Jobs-to-be-Done (JTBD) Framework** - Originally from Clayton Christensen, popularized by [Intercom](https://www.intercom.com/blog/using-job-stories-design-features-ui-ux/) - Helps identify where AI can solve specific marketing "jobs" ## Learning Resources ### **Online Courses & Certifications** - [Google AI for Marketing](https://marketingplatform.google.com/about/analytics/) - Free courses on AI in marketing - [HubSpot Academy](https://academy.hubspot.com/) - AI marketing courses - [Coursera - AI for Everyone by Andrew Ng](https://www.coursera.org/learn/ai-for-everyone) - Foundational AI understanding - [LinkedIn Learning](https://www.linkedin.com/learning/) - Various [...]
What tools, resources, or frameworks are essential for success with AI Tools for Marketers?
[...] te.org/jobs-to-be-done/) - A/B testing discipline for AI outputs (validate lift with experiments): [Optimizely – A/B Testing Guide](https://www.optimizely.com/optimization-glossary/ab-testing/) Data and measurement (collect, store, and visualize the data AI needs) - Web and app behavior analytics: [Google Analytics 4](https://marketingplatform.google.com/about/analytics/) - Data warehouse for unified audiences and measurement: [Google BigQuery](https://cloud.google.com/bigquery) or [Snowflake](https://www.snowflake.com/) - Dashboards and reporting: [Looker Studio](https://lookerstudio.google.com/) - Customer data platform (CDP) for clean, consented profiles: [Segme [...]
[...] com/getting-started/what-are-okrs) - NIST AI RMF: [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) 2) Data foundation: Implement GA4 and stream key events to a warehouse (BigQuery or Snowflake). Build a lightweight dashboard in Looker Studio. - GA4: [Google Analytics 4](https://marketingplatform.google.com/about/analytics/) - BigQuery: [Google BigQuery](https://cloud.google.com/bigquery) or Snowflake: [Snowflake](https://www.snowflake.com/) - Looker Studio: [Looker Studio](https://lookerstudio.google.com/) 3) Audience and consent: Use a CDP to unify profiles and respect consent flags before activating AI perso [...]