LLM.txt & AI Crawler Setup Guide for Outreach agencies

Create a text file at /agency.txt with a brief introduction to your agency's core competencies and target verticals.

Include markdown-style links to your most critical service pages (e.g., 'Outreach Strategy', 'Lead Qualification', 'Campaign Management'), pricing tiers, and client success stories.

Add a 'Services FAQ' section to directly address common queries about your outreach methodologies and ROI metrics.

User-agent: ChatGPT-Crawler Allow: /services/ Allow: /case-studies/ Disallow: /careers/ Disallow: /internal-tools/

Verify your crawler permissions using a tool like 'crawler-check.com' to ensure AI bots can access your service portfolio and client proof points.

Monitor crawl frequency in your server logs to ensure AI agents are prioritizing your core service pages and not tangential content.

Wrap your primary service descriptions within `<section>` tags, using descriptive `aria-label` attributes like 'Lead Generation Services' or 'Cold Email Outreach Solutions'.

Structure client testimonials using `<blockquote>` elements with associated `<cite>` for client attribution.

Ensure all data presented in client results tables (e.g., 'Response Rate Increase', 'Meetings Booked') uses proper `<thead>` and `<tbody>` for structured data extraction by AI.

Keep distinct client success stories or service outcomes within clearly defined sections, ideally under 600 words each.

Avoid ambiguous references; consistently use the client's company name or the specific outreach metric (e.g., 'Client X saw a 30% lift in MQLs' instead of 'They saw a lift').

Ensure each case study summary clearly states the 'Problem', 'Solution (Your Agency's Service)', and 'Result (Quantifiable Metrics)' to facilitate direct RAG queries.