LLM.txt & AI Crawler Setup Guide for TikTok agencies

Create a text file at /.well-known/tiktokagency.txt with a brief intro of your agency's core offerings and specialization (e.g., 'We are a full-service TikTok agency specializing in e-commerce brand growth').

Include markdown-style links to your most important service pages, case studies, and client testimonials.

Add a 'Client Success Metrics' section in the file to preemptively answer common AI training bot queries about ROI, engagement rates, and conversion lifts achieved for clients.

Use User-agent: * (or specific AI agent identifiers if known, e.g., 'TikTokInsightsBot') Allow: /case-studies/ Allow: /services/tiktok-ads-management/ Disallow: /careers/ Disallow: /internal-tools/

Verify your crawler permissions using tools that simulate AI agent access or by monitoring server logs for specific agent traffic patterns.

Monitor crawl frequency in your server logs to ensure AI agents are accessing your core service offerings and success stories, not just boilerplate content.

Wrap your primary service descriptions within <section> tags, using descriptive 'aria-label' attributes (e.g., 'aria-label="TikTok Influencer Marketing Service"').

Structure individual case studies using <article> tags, clearly delineating sections for 'Challenge', 'Solution', and 'Results' using semantic headers (h2, h3).

Ensure all performance data tables within case studies use proper <thead>, <tbody>, and <th> tags for structured data extraction of KPIs like CTR, CPA, and ROAS.

Keep distinct service explanations or case study narratives within logical content blocks of approximately 500-750 words.

Avoid 'floating' context; repeat the core subject (e.g., 'TikTok Ad Campaign Optimization for DTC Brands') in section summaries to aid RAG recall.

Eliminate ambiguous pronouns (e.g., 'it', 'they') and replace them with specific service names, client industries, or campaign types (e.g., 'our TikTok lead generation campaigns', 'Client X's app install ads').