Entities Speak Louder than Words: How to get Actionable Data from AI

A 5-step framework which explains the foundational analysis needed to accurately understand your brand's AI visibility/understanding.

Transcript

1. Entities Speak Louder Than Words: Getting Actionable Data for AI Visibility Genie Jones Waikay @geniejayyx | Speakerdeck.com/geniejones913
2. Entity Gap Analysis Check facts Citations Share of Voice Topic presence How to get Actionable Data
3. Entity Gap Analysis
4. Your Brands Entities Entities found in an LLM response LLM Understanding
5. What Are Your Entities? Step 1 InLinks or Manually
6. What do you know about [My brand]? Disable Live Look Up Ask this: Step 2
7. Step 3 Mark The Gaps
8. Repeat With Context Step 4 What do you know about [My brand] in the context of [topic]?
9. Use these entity gaps to guide your SEO Internal links, schema and content work
10. Fact Checking
11. Sentiment analysis is out Facts are Actionable LLMs don’t have feelings!
13. Hunt Down Hallucinations
14. Citations
15. SEOs view links as a journey ‘AEOs’ will view links as a story They are taking you somewhere, signifying traffic They form a history of where LLMs have learnt about you - even the bad ones are actionable!
16. Citations gathered when asking an LLM about a brand reveal Stand out URLs URL structures Third party reviews hallucination reasons 404s Similar named brands
17. Share of Voice
18. Prompts can be reverse-engineered from the entity map you’ve already figured out
19. Share of voice should include ALL competitor data, not just predetermined competitor list
21. Topical Presence
25. Entity Gap Analysis Check facts Citations Share of Voice Topic presence How to get Actionable Data
26. Thank you for your time! Please find me for questions.