We've published engine-specific citation playbooks for ChatGPT and Gemini , and they're deliberately tactical: which surfaces each engine pulls from, how each one retrieves, what its answers reward. This post sits underneath all of them. Entity consistency is the layer that decides whether any of those tactics can work at all — because before an AI engine can cite you, recommend you, or even describe you correctly, it has to be able to work out what you are . If your business exists on the web as three slightly different names, four conflicting descriptions and a decade of half-updated directo
What this covers
- The short answer
- What an entity actually is to an AI engine
- This is now named AEO strategy, not folklore
- Consistent entity vs fragmented entity
- The fix, in five steps
- 1. Write the canonical entity down
This is a technical summary. The full guide — with the data, tables and worked examples — is on our site: *Entity Consistency: The Unsexy AEO Work That Decides Whether AI Engines Can Cite You (2026)*.
LeadsNow AI builds pay-per-result AI lead generation and answer-engine-optimisation systems in Australia.
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