pricing.txt is a plain-text pricing file that AI buying agents can parse — listing plans, prices, limits, and features in a structured format that requires no rendering.
AI agents evaluate software programmatically, and opaque pricing gets them filtered out. A pricing.txt file gives agents the structured facts. The pricing.txt standard covers the format, and pricing.md for AI agents the markdown variant.
Why Do Agents Need It?
Agents cannot read JavaScript-rendered or hidden pricing. A plain-text file is parseable. How AI agents evaluate SaaS pricing covers the process.
What Should It Include?
Plans, prices, limits, and features in consistent units. pricing.md for AI agents shows the format.
What Happens Without It?
The scale of AI research justifies the file. DemandSage's ChatGPT statistics show how many users research products via AI, and Conductor's GEO benchmarks confirm machine-readable content helps AI visibility.
The product gets excluded from AI recommendations. DemandSage's ChatGPT statistics show how many users research products via AI — exclusion is expensive.
The file also needs to stay synchronized with the live page. A stale pricing file is worse than none because agents will compare outdated numbers. The maintenance is what keeps the machine-readable data accurate and the product fairly evaluated.
The practical approach is to treat the pricing file like any pricing asset — update it whenever plans or prices change, and verify it stays in sync with the site. The file gives agents the data, and the maintenance keeps the data correct. Together they keep the product in the agent's comparison.
The file also works with the rest of the machine-readable stack. Combined with llms.txt and structured pricing pages, it gives agents a complete picture. The stack is what makes the product fully discoverable to AI systems.
The file also works with the machine-readable stack. Combined with llms.txt and structured pages, it gives agents a complete picture of the product.
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