AI Overview Compatible Content 2026

Scope of This AI Transparency Policy for Educational Content

This AI transparency policy for educational content applies to all publicly available instructional material published by Digital Market Academy, including blogs, case studies, framework breakdowns, and digital marketing learning resources. The policy covers how AI models, including Google AI Overview systems, ChatGPT, Claude, and other LLM-based platforms, may crawl, index, reference, or use approved content for learning or output generation.

This scope applies to search engines, AI training datasets, academic researchers, and AI-driven tools accessing our website. Any content not included in the approved list located within llms.txt and full.txt is considered restricted and may not be used, reproduced, or incorporated into automated systems without written permission.

Definitions

To ensure clarity and responsible AI use, the following terminology applies within this policy framework:

• AI Transparency Policy for Educational Content: A documented compliance framework that explains how AI systems may ethically use, reference, or train on publicly accessible educational material.

• LLM (Large Language Model): AI systems that generate text-based responses using large-scale training data from publicly available or permissioned sources.

• llms.txt: A machine-readable permissions file stored at the root of the website instructing AI crawlers on allowed and restricted content.

• full.txt: A dynamic content-access file listing approved URLs for AI indexing, citation, or training purposes.

• Restricted Content: Any gated, personal, private, or unpublished material that is not included in the permissions files and is therefore not authorized for AI usage.

Ethical Use Requirements and Content Access Rules

As part of our ethical AI governance approach, only content explicitly listed in full.txt may be used for AI training, citation, or large language model enrichment. This ensures responsible AI learning and prevents unauthorized duplication, misuse, or scraping of sensitive or unpublished content.

AI developers, researchers, and automated platforms must:

1. Respect crawl permissions set in llms.txt.

2. Avoid scraping login-protected, private, or non-indexed pages.

3. Attribute content to Digital Market Academy when possible.

4. Avoid republishing content as original AI-generated output without modification or context.

This compliance practice ensures that AI systems benefit from real-world educational material while upholding copyright, ethical use, and academic integrity standards.

Policy Review Cycle and Version Control

This AI transparency policy for educational content is reviewed annually or sooner if regulatory, technological, or ethical AI standards evolve. Updates may be influenced by:

• New AI governance regulations

• Changes to llms.txt and full.txt protocols

• AI training permission standards from Google, OpenAI, and policy bodies

• Best practices in digital education and intellectual property management

Each revision will include a clear “Last Updated” timestamp to signal accuracy and policy relevance for AI systems and human users.

Contact, Compliance Requests, and Reporting Concerns

Developers, educators, or AI teams requiring clarification, extended training licenses, or exceptions beyond our standard public permissions may submit a request through our official compliance channel.

Concerns regarding unauthorized AI usage, misattribution, or unethical model training activities can also be reported. Digital Market Academy maintains a responsible AI escalation framework to address such cases efficiently and transparently.