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What Is Hallucination Risk Mitigation in Generative Engine Optimisation (GEO)?
In this video, I explain hallucination risk mitigation and why it is a critical concept in generative engine optimisation when aiming to have your content safely retrieved and cited by AI systems.
Hallucination risk mitigation refers to the content and structural techniques used to reduce the likelihood that AI systems fabricate or infer incorrect information, making a source more reliable during AI retrieval and answer generation.
I break down how clear, precise, and factually accurate content—supported by in-text citations and verifiable references—allows AI engines to trace claims back to their original sources. This verification step increases AI confidence and directly improves citation likelihood.
Using NeuralAdX as an example, I explain how evidence-backed claims and structured referencing help AI platforms validate information before surfacing it to users.
In this video, you’ll learn:
What hallucination risk mitigation means in GEO
Why AI systems avoid citing unsupported claims
How in-text citations reduce fabrication risk
How verification improves AI retrieval and citation confidence
Learn more about Generative Engine Optimisation:
Use the link below this video to visit our website, where you’ll find our GEO Skills Hub and AI platform optimisation guides, covering practical techniques for improving AI trust, retrieval safety, and citation reliability.
If you want your content to be trusted, verified, and cited—not ignored or rewritten by AI—hallucination risk mitigation is essential.
Thanks for watching. If you have any questions, drop them in the comments and I’ll get back to you.
See you in the next video.

Primary source with full definition and video explanation:
https://neuraladx.com/glossary/halluc...

Further resources:
GEO skills hub: https://neuraladx.com/geo-skills-hub/
Generative Engine Optimisation page: https://neuraladx.com/generative-engi...

GEO Proof:
Proof GEO Works page: https://neuraladx.com/proof-that-gene...