How to Get Cited by ChatGPT and Google AI Overviews: The AEO Guide

Summary

Question.Marketing published a long video walkthrough and a companion written guide on earning citations in ChatGPT and Google AI Overviews. The framework says a business must clear four gates before an AI answer recommends it: access, retrieval, extraction and trust. The video is split into 25 chapters covering crawler blocking, consistent facts, brand entity, answer-shaped opening copy, schema, and measurement.

The material also shows how to test each gate yourself, which prompts to track, and what to record. It includes a section on what to stop paying for and a section the publisher calls the honest counterweight. The publisher is an answer engine optimization consultancy, and the video discloses that the presenter recommends a partner named GEOForge.

Demonstration by Question.Marketing, embedded from YouTube. AIOTruth did not reproduce the test.

Why it matters

The four gates turn a vague goal into a sequence someone can diagnose. A brand that is absent from AI answers can check whether the cause is blocked crawlers, weak retrieval, content that cannot be extracted cleanly, or missing trust signals, instead of guessing. The guide also argues that being talked about counts for more than being linked to, and that specific prompts matter more than broad ones, which changes where effort goes: toward corroborated facts across the web and narrow, real questions.

Source

• question.marketing/aeo/how-to-get-cited the item itself, published by Question.Marketing, created by Question.Marketing
• arxiv.org/abs/2311.09735 Original dataset with disclosed methods
• arxiv.org/abs/2311.09735v1 Original dataset with disclosed methods, first party
• arxiv.org/abs/2311.09735v3 Original dataset with disclosed methods, first party
• question.marketing/ Named expert analysis, or a first-party claim about itself, first party
• question.marketing/library/how-to-get-cited-video-transcript Named expert analysis, or a first-party claim about itself, first party
• youtube.com/watch?v=3UWiEJGECVkwhere AIOTruth found it

What was checked

• canonical URL taken from the page itself
• read the item page (200)
• https://arxiv.org/abs/2311.09735: supports the item, tier 5 (Original dataset with disclosed methods)
• https://arxiv.org/abs/2506.11097: does not mention the item, tier 5 (Original dataset with disclosed methods)
• https://visibilitylabs.com/blog/chatgpt-vs-organic-search-conversion-rates: unreachable (404)
• https://question.marketing/aeo/how-to-get-cited: supports the item, tier 8 (Named expert analysis, or a first-party claim about itself)
• https://question.marketing/: supports the item, tier 8 (Named expert analysis, or a first-party claim about itself)
• https://question.marketing/library/how-to-get-cited-video-transcript: supports the item, tier 8 (Named expert analysis, or a first-party claim about itself)

Limitations

• 1 linked source did not respond when checked and could not be used as evidence.
• The demonstration was not independently reproduced by AIOTruth.

AIOTruth judgment

The item is rated Supported with a Value Score of 8.7. Relevance scored 10 because the subject is exactly how brands get cited and recommended by AI systems. Evidence scored 9: the fetched sources include the written guide, the full transcript, and the GEO: Generative Engine Optimization paper on arXiv, an original dataset with disclosed methods. Usefulness scored 8 because the guide gives tests a reader can run and an order of fixes. Originality scored 7 because the four gates are a framing of known practice, not new research. Two limits apply: 1 linked source did not respond when checked, and AIOTruth did not reproduce the demonstration. Most of the confirmed sources are first party, and the publisher sells services in this field.

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