Robots policy
Document the decision and keep the public files aligned.
AI crawler policy
Keep machine-readable context intentional.
Robots.txt, sitemap, llms.txt, Markdown summaries, and preview controls should work together instead of sending mixed signals to search and AI systems.
Robots policyAI crawler allowlistllms.txt contextMarkdown summariesSnippet controlsTraining boundary
What to inspect
Separate discovery from training policy.
AI-search visibility and model-training access are related but not the same operational choice.
AI crawler allowlist
Document the decision and keep the public files aligned.
llms.txt context
Document the decision and keep the public files aligned.
Markdown summaries
Document the decision and keep the public files aligned.
Snippet controls
Document the decision and keep the public files aligned.
Training boundary
Document the decision and keep the public files aligned.
Search and AI readiness
Make the page useful before making it bigger.
The page should be crawlable, helpful, well-organized, and written for the business decision first. That also makes it easier for Google Search to understand without fake guarantees or thin variations.
Define crawl intent
Decide which crawlers should see public business pages.
Expose concise context
Keep llms.txt and Markdown summaries useful but honest.
Review quarterly
Update crawler policy when business visibility goals change.
Practical application
Use this page as a decision aid, not just a definition.
The goal is to help a service business choose the next useful move. That means naming the workflow, clarifying the owner, keeping sensitive actions reviewable, and linking the idea to a measurable business result. If this page describes your situation, the next step is to bring one real example into the intake and keep private records out of the public form.
- The problem repeats often
- An owner can review the result
- The source context is available
- The improvement can be measured
- The process has no clear owner
- The data is sensitive or regulated
- The desired action could harm trust
- The metric is not visible yet
- Service pages explain implementation
- Playbooks explain the operating loop
- The intake maps one workflow
- The blog expands related questions
The point is simple: Elevor Flow is not selling automation for its own sake. The work is about moving one business workflow from scattered and slow to owned, reviewable, and measurable.
AI crawler policy
Make the public site easier for assistants to understand.
The current site already has llms.txt, Markdown summaries, robots, sitemap, and crawler checks.