AEO and GEO for food and beverage brands: getting cited in AI recipe and product answers
How food and beverage brands can position recipe and product content to be cited when someone asks AI for a recipe idea or product recommendation.
4 min read
As AI systems develop increasingly multimodal capability, video and audio content represent a genuine, growing opportunity for GEO visibility — but only when made accessible through the same text-based infrastructure (transcripts, structured data) that text-only content already benefits from.
Why multi-format content matters for GEO specifically
AI systems increasingly draw on a genuinely diverse range of content formats when synthesising a comprehensive answer, and video or audio content offering genuine depth or expertise a text-only competitor lacks can become a meaningful citation source — provided it is made text-accessible.
- Video content demonstrating a process or product in genuine use.
- Podcast interviews capturing genuine expert discussion and nuance.
- Webinar recordings covering depth a shorter text piece might not.
The transcript as the essential bridge
As covered in our video SEO and podcast SEO guides, a full, accurate transcript is what actually makes this content's substance accessible to text-based retrieval and citation — without one, the content's value remains locked inside a format most current AI retrieval cannot directly parse.
A genuinely insightful hour-long podcast episode with no transcript contributes nothing to your GEO visibility — all of that value is trapped in a format the retrieval system cannot read.
Structuring multi-format content for AI accessibility
- Publish full, accurate transcripts alongside every video and audio piece.
- Use VideoObject and PodcastEpisode structured data where relevant.
- Add clear, descriptive surrounding text (summaries, key takeaways) contextualising the multi-format content.
Genuine multimodal AI capability, and its current limits
Some AI systems are developing genuine multimodal understanding — processing video or audio directly rather than relying purely on a transcript — but this capability remains less mature and less universally available than text-based retrieval, making the transcript bridge the more reliable current approach.
Frequently asked questions
Will transcripts eventually become unnecessary as multimodal AI improves?
Possibly over time, but currently, and for the foreseeable near term, transcripts remain the most reliable way to make multi-format content accessible to text-based retrieval and citation.
Should I prioritise video, audio or text content for GEO purposes?
Prioritise whichever format best suits your genuine expertise and audience, then ensure it is made text-accessible through transcription — format choice should be driven by content quality and audience fit, not GEO alone.
Does auto-generated transcription quality matter for this purpose?
Yes, accuracy matters — a transcript with significant errors, especially around technical terms or proper names, can undermine the clarity and trustworthiness this content is meant to provide.
If you want help making your video and audio content accessible for AI visibility, talk to our team.
The takeaway
Add a full transcript to every video and podcast episode you publish — without one, that content's substantial value is invisible to text-based AI retrieval, regardless of how good the actual audio or video content is.
Written by Fibvo — Bengaluru and Erode, India — working with clients in other time zones. Questions, or think we have it wrong? Tell us.
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