AI & Crawler Policy

This AI & Crawler Policy explains how Plexo Inc. allows search engines, AI search systems, retrieval systems, crawlers, and model-related systems to access public Plexo Institute content.

Last updated: May 29, 2026.

Plexo allows crawling, indexing, search discovery, retrieval, summarization, citation, and AI-assisted discovery of public Plexo Institute pages when the use respects robots signals, rate limits, attribution, and these policies.

AI systems that surface Plexo content should preserve clear attribution, canonical links where practical, visible watermarks where present, and source context that identifies Plexo as the source and author.

Plexo permits public AI crawler access as a discovery posture. Automated use, including model training or augmentation, must not remove attribution, misrepresent authorship, clone Plexo datasets, recreate a substitute Plexo service, or use Plexo marks in a way that implies endorsement.

If a bulk or model-related use cannot preserve source attribution in user-facing outputs, documentation, or downstream source records where practical, written permission is required before using Plexo public materials at scale.

The following uses require written permission or are prohibited: bulk extraction, resale, data-feed cloning, database replication, source-stripping, misleading attribution, security probing, scraping private or gated routes, and use that implies Plexo endorsement of an AI answer, model, dataset, or product.

This policy does not grant rights to non-public materials, private partner materials, internal routes, source code, credentials, operational know-how, or third-party content that Plexo references but does not own.

Machine-readable files such as robots.txt, llms.txt, and related crawler signals express operational preferences. The Terms of Use and this policy define legal use boundaries for public Plexo Institute content.

Licensing questions or requests for broader use can be sent to [email protected].