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
The llms.txt file is a proposed standard, conceptually similar to robots.txt, aimed at giving website owners a structured way to communicate with AI systems specifically — providing curated, AI-friendly information about a site's content and structure, distinct from the crawling permissions robots.txt already handles.
What llms.txt aims to solve
Rather than requiring an AI system to crawl and interpret an entire site's structure independently, llms.txt proposes a curated, structured entry point specifically designed for AI consumption — potentially a more direct, efficient signal than relying purely on standard crawling and inference.
- A structured, AI-specific summary of key site content and purpose.
- Potentially curated links to the most important, AI-relevant pages.
- A complementary, not a replacement, standard alongside existing robots.txt and sitemap conventions.
Current adoption status, honestly assessed
This remains an emerging, proposed standard without universal adoption or confirmed support across every major AI platform — its actual current value depends significantly on whether the specific AI systems relevant to your business genuinely recognise and act on it.
A new standard is only as useful as the platforms that actually pay attention to it — llms.txt is a genuinely interesting idea currently in the early, uncertain phase of proving whether it achieves that broad recognition.
A reasonable current approach
Given the low implementation cost and the standard's genuine conceptual promise, implementing a basic llms.txt file is a low-risk, low-effort hedge worth considering — but it should not be prioritised ahead of the more established, currently proven structured data and content structure practices covered throughout this series.
Frequently asked questions
Is llms.txt an officially recognised standard by major AI companies?
It remains an emerging, community-driven proposal rather than a universally, officially adopted standard across every major platform currently — adoption and support continue to evolve.
Does implementing llms.txt replace the need for robots.txt or a sitemap?
No, it is intended as a complementary addition, not a replacement for these existing, well-established standards.
Should I prioritise implementing this immediately?
Given its low implementation cost, it is reasonable to add as a low-priority, low-risk addition, but should not take priority over more established, proven AEO and GEO practices.
If you want help evaluating and implementing emerging AI-specific web standards, talk to our team.
The takeaway
Monitor adoption of llms.txt among major AI platforms before investing significant effort — as an emerging, not-yet-universally-adopted standard, implementation value currently depends heavily on whether the specific platforms relevant to your business actually recognise and use it.
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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