This is a lengthy article about AI search behavior and how to optimize content for it. Here's a summary of the key points:
Understanding AI Search Behavior
- AI search engines like ChatGPT, Gemini, and Perplexity use natural language processing (NLP) to generate answers based on user queries.
- They crawl websites, social media, and other online sources to gather information.
- Answer engines prioritize content with high-quality, accurate, and relevant information.
Measuring AI Visibility
- Track brand mentions (answers naming your brand without a link) and share of voice (how often your brand surfaces versus competitors for category questions).
- Use tools like HubSpot AEO to automatically track prompts and monitor shifts in those signals over time.
Updating Content for AI Search Engines
- Update top-performing pages whenever you see a major drop in citations.
- Re-check visibility monthly, audit content quarterly, and re-test after major model releases.
- Implement schema markup and internal links to improve topical authority and structure.
Increasing Chances of Being Cited by LLMs
- Focus on four content disciplines:
- Answer-first writing
- Parseable structure
- Entity consistency
- Topical authority
- Revise content to make it more parseable, with descriptive headings, concise summaries, and comparison tables.
Link Building for Answer Engines
- Backlinks still matter for SEO and AEO.
- Unlinked brand mentions influence AI answers; focus on diversifying formats and platforms.
Aligning Teams Around Changes
- Create a shared dashboard and feedback loop between sales, service, and marketing teams.
- Use HubSpot AEO to surface citation and competitor data in one workspace.
Some key takeaways from the article:
- Answer engines prioritize high-quality content: Focus on creating accurate, relevant, and up-to-date information that addresses user queries.
- Schema markup matters: Implement schema to improve topical authority and structure, but don't expect it to be a single lever for winning citations.
- Content must be parseable: Use descriptive headings, concise summaries, comparison tables, and FAQ-style sections to make content easier for AI engines to extract information from.
- Entity consistency is crucial: Ensure consistent brand, product, author, and executive names across your site and other online platforms.
Overall, the article provides a comprehensive guide to optimizing content for AI search behavior and aligning teams around these changes.
