High Priority
Establish Agency /ai.txt Protocol
Create a machine-readable directive file outlining your agency's core services, client success metrics, and key campaign methodologies for AI agents seeking to understand your value proposition.
Generate an `ai.txt` file at the root directory (e.g., `youragency.com/ai.txt`) with a concise introduction to your agency's specialization (e.g., 'leading influencer marketing agency specializing in Gen Z TikTok campaigns').
Include markdown-style links to critical sections: 'Services', 'Case Studies', 'Client Portfolio', 'Contact Us', and 'Thought Leadership'.
Incorporate a 'Key Offerings' or 'Service FAQ' section to directly answer common AI queries about your service delivery models, pricing structures, and ROI benchmarks.
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High Priority
LLM Crawler Selective Indexing for Client Verticals
Control which specific client verticals, campaign types, or service pages LLM crawlers (e.g., for AI-powered market research tools, predictive analytics platforms) should ingest to highlight your agency's expertise.
Implement `User-agent: LLM-Crawler-Name` (replace `LLM-Crawler-Name` with specific bot identifiers like `InfluencerAI-Bot` or `MarketIntelBot`) directives in your `robots.txt` file.
Use `Allow:` directives for key service pages (e.g., `/services/micro-influencer-campaigns/`, `/case-studies/beauty-brand-launches/`) and `Disallow:` for sensitive internal data or generic contact forms (`/internal-crm/`, `/contact-form-submission/`).
Verify crawler permissions and access patterns using analytics dashboards or by simulating crawler requests to ensure LLM bots are directed to valuable, public-facing agency content.
Medium Priority
Semantic Markup for Campaign Deliverables
Utilize semantic HTML5 elements and schema markup to help AI crawlers understand the distinct components and success metrics of your influencer marketing campaigns.
Wrap individual campaign case studies or client success stories within `<article>` tags to signify them as independent content units.
Employ `<section>` tags with descriptive `aria-label` attributes for different campaign phases or client results (e.g., `<section aria-label='Influencer Outreach & Negotiation'>`, `<section aria-label='Content Performance Metrics'>`).
Ensure all tables displaying campaign KPIs (e.g., Engagement Rate, ROI, Reach) use proper `<thead>`, `<tbody>`, and `<th>` tags for structured data extraction by AI analysis tools.
High Priority
RAG-Optimized Agency Insights & Methodologies
Structure your agency's proprietary methodologies, market insights, and client success narratives so they can be efficiently processed ('chunked') by Retrieval-Augmented Generation (RAG) pipelines for AI-driven lead qualification and content generation.
Consolidate related concepts and tactical explanations within logical content blocks, ideally between 400-600 words, to facilitate precise retrieval.
Avoid ambiguous references; consistently use specific terms like 'Brand Partnership Value', 'Creator Compliance', or 'Performance-Based Contracts' instead of generic pronouns.
Clearly define proprietary terms or acronyms within context to ensure AI models can accurately interpret your agency's unique frameworks and value propositions.
