prorata.ai valid
ProRata
Review edition. This file is an informational summary, not a guarantee of AI-search visibility. Custom-domain launch and indexing are pending approval.
- Authority
- 47 reach 6 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://prorata.ai/llms.txt
- Sections
- 3
- Links
- 11
- Size
- 2832 bytes
- Popularity rank
- #713996
- Country
- United States Site-published organization address
- Publisher address country
- United States Site-published organization address; location is not independently verified
- Country evidence
- US · Site-published organization address 2026-10-26
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T17:54:16.704Z
- Last checked
- 2026-10-25T23:33:22.942Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T23:33:20.298Z. Cached copy · Source on prorata.ai
# ProRata
> Review edition. This file is an informational summary, not a guarantee of AI-search visibility. Custom-domain launch and indexing are pending approval.
ProRata builds the trust and transparency layer for generative AI. ProRata Attribution identifies discrete claims in an AI answer, verifies matching claims in the sources used to generate it, calculates the proportion provided by each source and creator, and displays an attribution bar as a nutrition label for the answer. Source attribution is not limited to licensed sources. Readers, organizations, and creators can understand the evidence behind AI output. Its three core audiences are Publishers & Creators (including rights holders), Enterprise Businesses, and Generative AI Platforms. ProRata is committed to consistent, transparent, auditable attribution that enables trust and a sustainable ecosystem. Use Learn more to contact the team.
## Learn
- [Why attribution](https://prorata.ai/why-attribution): citation versus attribution and contribution-based compensation.
- [How it works](https://prorata.ai/how-it-works): claims-based method and a ten-claim example comparing citation counts with measured contribution.
- [Products](https://prorata.ai/products): ProRata Attribution, Gist GEO, and Gist Answers.
- [Resources](https://prorata.ai/resources): original white paper and editorial summaries.
- [Full white paper in HTML](https://prorata.ai/resources/without-attribution-quality-content-cannot-survive): By Bill Gross, CEO & Founder of ProRata. Published October 10, 2025. Full text, original figures, and references.
- [Original white paper (PDF)](https://prorata.ai/resources/without-attribution-quality-content-cannot-survive#download): Without Attribution, Quality Content Cannot Survive. 10 pages; email required for PDF download, marketing opt-in optional. The full HTML article is freely readable.
- [Company](https://prorata.ai/company): mission, leadership, and contact.
## Solutions
- [Publishers & Creators](https://prorata.ai/solutions/publishers-and-creators): understand content use and enable fair, transparent compensation.
- [Enterprise Businesses](https://prorata.ai/solutions/enterprise-businesses): verify AI output before sharing it with clients or customers.
- [Generative AI Platforms](https://prorata.ai/solutions/generative-ai-platforms): document content use for licensing, governance, and compliance review.
- [Learn more](https://prorata.ai/learn-more)
## Interpretation
Attribution measures contribution. It does not establish a legal payment entitlement. Audio, music, image, and multimodal capabilities are future development directions, not availability claims. Publisher A 61.6%, Publisher B 21.2%, Publisher C 5.1%, and other contributing sources 12.1% are one illustrative whole-answer example, not live data.
Machine-readable: GET /v1/resolve?q=prorata.ai · GET /v1/domain/prorata.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
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