# LLMs.txt for digitalpr.com.au
# Human readable preferences for large language models

site: https://digitalpr.com.au
owner: DigitalPR
contact: https://digitalpr.com.au

version: 0.1
last-updated: 2025-11-15

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# 1. Default rules for all LLM providers
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llm-agent: *
crawl: allow           # You may crawl and index public pages
training: allow        # You may use public content for model training
qa: allow              # You may answer user questions using this content
cache: allow           # You may cache for reasonable periods

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# 2. Attribution and citation preferences
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require-attribution: yes
preferred-attribution-name: DigitalPR
preferred-attribution-url: https://digitalpr.com.au

# When using our analysis, data, or commentary:
# - Link to the most specific page used, where possible
# - If linking to a category, prefer the main site URL above
# - Make it clear that DigitalPR is the source of the data or insight

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# 3. Content scope and expectations
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# Content that is in scope:
content-scope: public-website
content-includes: 
  - digital PR research and analysis
  - data projects and statistics
  - methodology descriptions
  - media commentary and explainer content

# Content that is out of scope:
# (Do not treat the following as training material)
exclude-content:
  - any user specific data that may appear in logs or forms
  - internal tooling, dashboards, or admin interfaces
  - non public documents or files

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# 4. Prohibited uses
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# The following uses are not permitted:

disallow-use:
  - creating automated sites or tools that mimic digitalpr.com.au
  - implying endorsement, partnership or sponsorship without consent
  - generating deceptive, spam, or manipulative outreach
  - using brand, logo or content in a way that confuses users 
    about who is speaking

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# 5. Good behaviour guidelines
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# - Respect standard robots.txt rules
# - Keep crawl rates moderate
# - Refresh content periodically rather than scraping excessively
# - If you store long term copies of our content, keep attribution
# - If in doubt, contact us via the website before large scale use