# HubSpot explains RAG for marketers in plain language

Digest AI · Marketing & Small Business · published 2026-11-05T16:15:05Z

Canonical: https://digestai.news/story/hubspot-explains-rag-for-marketers-in-plain-language

## Summary

Retrieval-augmented generation (RAG) lets AI systems pull relevant information from external sources before generating answers. For marketers, this means their content—help articles, product pages, or documentation—can become the source material AI uses to answer questions about their brand. A Pew Research Center study found that when Google shows AI summaries, users click traditional search results only 8% of the time, compared to 15% without summaries. This shift makes how content is structured and maintained critical for visibility in AI-driven answers.

HubSpot’s guide breaks down RAG into three steps: retrieve relevant passages from a knowledge base, augment the model’s prompt with those passages, and generate an answer grounded in the retrieved material. The article emphasizes that retrieval-friendly content—clear structure, explicit facts, consistent terminology, and freshness—improves a page’s chances of being cited by AI systems. However, no tactic guarantees retrieval or citation, and answer engines vary in how they retrieve and cite sources. The guide also compares RAG to fine-tuning, recommending RAG for dynamic information like pricing or policies, and fine-tuning for consistent brand voice or specialized tasks. Marketers are advised to audit their most important pages, assign ownership, and maintain a source of truth to support RAG systems.

## Key points

- RAG retrieves external info to ground AI answers, making marketers’ content potential sources for AI responses
- Pew Research found AI summaries reduce clicks on traditional search results from 15% to 8%
- HubSpot’s checklist for retrieval-friendly content includes clear structure, explicit facts, and consistent terminology

## Why it matters

RAG shifts how marketers must optimize content beyond traditional SEO, prioritizing clarity, freshness, and structure to appear in AI-generated answers. This directly impacts brand visibility and credibility in an era where AI answers often replace direct searches.

## Sources

1. [What is RAG in AI? A plain-English guide for marketers](https://blog.hubspot.com/marketing/rag-in-ai) (HubSpot Marketing Blog, 2026-11-05)

Part of the developing story: [HubSpot AI Answer Engine Evolution](https://digestai.news/thread/hubspot-outlines-three-ways-to-run-answer-engine-optimization-with-a-lean-team) (3 stories)

## Cite

Digest AI, "HubSpot explains RAG for marketers in plain language", 5 November 2026, https://digestai.news/story/hubspot-explains-rag-for-marketers-in-plain-language

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