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AI Mentions & Sources Report for AI Tools for Marketers

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About blog.hubspot.com (Blogs)

This page provides details about blog.hubspot.com (Blogs) which was ranked #1 out of 70 in the list of sources (2 citations (23.2% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 1 question: "What do industry leaders recommend as the first steps when starting with AI Tools for Marketers?" on Oct 24, 2025 by AI Chat Watch. This source is referenced for brands: HubSpot, Microsoft.

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Used by AI Models

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Pages from blog.hubspot.com (1 link)

URL Path Citations Position
/marketing/ai-marketing 2 1

Brands Referenced By This Website (2 brands)

Brand Voice Mentions
HubSpot HubSpot 49.5% 6
Microsoft Microsoft 31.1% 8

Citations from AI Responses

OpenAI ChatGPT Latest (2 citations)

What do industry leaders recommend as the first steps when starting with AI Tools for Marketers?

[...] ith 1–3 specific, high-impact, low-risk use cases tied to a measurable outcome (e.g., faster content ideation, improved email subject lines, SEO briefs), not a tool-first rollout. See practical “where to start” guidance for marketers in HubSpot’s overview of AI in marketing: HubSpot – AI Marketing (https://blog.hubspot.com/marketing/ai-marketing) - Establish lightweight guardrails and an internal AI policy before wide use. Define approved tools, data handling, human review, transparency, and risk processes. Use these widely referenced frameworks and principles: - NIST AI Risk Management Framework (AI RMF) (https://www.nist.gov/itl/ai-ri [...]

blog.hubspot.com/marketing/ai-marketing October 24, 2025

[...] internal SOPs/playbooks; capture good prompts and examples: - Microsoft Learn – Copilot for Microsoft 365 (hands-on adoption/training resources adaptable to other tools) (https://learn.microsoft.com/microsoft-365-copilot/) - HubSpot – AI Marketing (practical marketer-focused uses and examples) (https://blog.hubspot.com/marketing/ai-marketing) - Scale gradually and govern. When a pilot meets your thresholds, templatize the workflow, add guardrails (policy + reviews), and expand to adjacent use cases. Revisit risk and performance regularly: - NIST AI RMF (operationalizes risk, governance, measurement) (https://www.nist.gov/itl/ai-risk [...]

blog.hubspot.com/marketing/ai-marketing October 24, 2025