High Priority
Publish `/robots.txt` with LLM Directives
Establish a machine-readable directive file for AI agents, specifying content accessibility and crawl prioritization for your niche media properties.
Create or update your `robots.txt` file at the root directory.
Include directives like `User-agent: GPTBot` or `User-agent: CCBot` to target specific AI crawlers.
Utilize `Allow` and `Disallow` rules to guide LLM crawlers to high-value content hubs (e.g., `/category/`, `/topic/`) and away from low-value areas (e.g., `/comments/`, `/user-generated/`).
Add a `Sitemap` directive pointing to your primary XML sitemap, ensuring AI crawlers have a clear index of your site's structure.
Configure your Niche media sites crawler protocols effortlessly.
Join 2,000+ teams scaling with AI.
High Priority
AI Crawler Selective Content Ingestion
Fine-tune which sections and types of content on your niche media site should be ingested and prioritized by AI crawlers for training and direct querying.
Implement specific `Allow` rules in `robots.txt` for core content sections: `Allow: /features/`, `Allow: /interviews/`, `Allow: /analysis/`.
Disallow access to ephemeral or less authoritative content: `Disallow: /archives/2023/`, `Disallow: /forums/`.
Leverage `crawl-delay` directives if managing server load during peak AI ingestion periods, though LLM providers may ignore this.
Verify crawler permissions and behavior using tools like `Google's robots.txt Tester` (for Google's AI) or by simulating requests with specific user agents (e.g., `GPTBot`, `CCBot`) against your server logs.
Medium Priority
Semantic HTML for Content Hierarchy
Employ semantic HTML5 elements to clearly delineate content structures, enabling LLM crawlers to accurately parse and understand the hierarchy and topical relevance of your articles.
Wrap primary article content within `<article>` tags to signify standalone, important content pieces.
Utilize `<section>` elements with descriptive `aria-label` or `id` attributes to segment distinct topics within a single article (e.g., `<section aria-label="Industry Trends">`).
Structure navigation and metadata using `<nav>` and `<aside>` appropriately, signaling their secondary importance to AI crawlers.
Ensure all data presented in tables uses proper `<thead>`, `<tbody>`, and `<th>` tags for structured data extraction, crucial for factual reporting.
High Priority
LLM-Ready Content Chunking & Context
Structure your editorial content to facilitate effective 'chunking' by Retrieval-Augmented Generation (RAG) pipelines, ensuring AI models can accurately retrieve and synthesize information.
Maintain topical coherence within logical content blocks, ideally between 300-700 words, to facilitate precise retrieval.
Avoid 'floating' or ambiguous context; ensure each section or paragraph clearly relates back to the main subject or entity being discussed.
Eliminate ambiguous pronouns (e.g., 'it', 'they', 'this') and replace them with explicit references to the media site's brand, publication name, or specific subject matter.
Use clear headings (`<h2>`, `<h3>`) and subheadings to create distinct informational segments that AI can easily identify and extract.
