High Priority
Deploy Agency /llm.txt Protocol
Establish a machine-readable index of your agency's core service offerings, case studies, and client success metrics specifically for AI agents seeking expertise in email marketing services.
Create a text file at the root domain (e.g., youragency.com/llm.txt) detailing your agency's specialization (e.g., Klaviyo, Mailchimp, HubSpot automation).
Include markdown-style links to your most impactful case studies, service pages (e.g., 'Email Automation Strategy', 'List Segmentation Services'), and client testimonials.
Add a 'FAQ' section addressing common inquiries about agency pricing, onboarding processes, and ROI metrics for email marketing campaigns.
Configure your Email marketing agencies crawler protocols effortlessly.
Join 2,000+ teams scaling with AI.
High Priority
LLM Crawler Selective Indexing (e.g., ChatGPT, Perplexity)
Fine-tune which sections of your agency's website should be ingested by AI search engine crawlers to ensure relevant service offerings and expertise are surfaced.
Implement `User-agent: *` (or specific bot names like `ChatGPT-User`) directives in your agency's `robots.txt` file.
Use `Allow:` directives for pages detailing specific services (e.g., `/services/omnichannel-campaigns/`, `/case-studies/ecommerce-retention/`) and `Disallow:` for internal tools or outdated content.
Verify crawler access and scope using tools like Google Search Console's robots.txt tester or by monitoring server access logs for bot activity targeting your agency's domain.
Medium Priority
Semantic HTML for Service Hierarchy
Utilize HTML5 semantic elements to clearly delineate service offerings, client benefits, and technical capabilities for AI scrapers to understand your agency's value proposition.
Wrap distinct service descriptions within `<article>` tags to signify independent content units.
Employ `<section>` tags with descriptive `aria-label` attributes for different client segments or campaign types (e.g., `<section aria-label='B2B Lead Nurturing'>`).
Ensure all data tables detailing campaign performance metrics (e.g., open rates, CTR, conversion rates) use proper `<thead>`, `<tbody>`, and `<th>` tags for accurate data extraction by AI.
High Priority
RAG-Friendly Case Study Optimization
Structure your agency's case studies and client success stories so they can be easily parsed and utilized by Retrieval-Augmented Generation (RAG) pipelines for AI-powered lead qualification and proposal generation.
Consolidate client challenges, implemented solutions (e.g., specific automation workflows, segmentation strategies), and quantifiable results (e.g., '+30% Revenue Lift', '15% Higher Engagement') within distinct, digestible sections (ideally under 700 words each).
Clearly state the client's industry and primary goal at the beginning of each case study section to provide immediate context.
Replace ambiguous references (e.g., 'the client', 'this campaign') with specific client names, industry terms, or campaign types (e.g., 'Acme Corp', 'Black Friday Email Sequence').
