Agentic SEO Audit: How It Works

The Agentic SEO Audit tool is designed to evaluate how well your web pages are prepared for AI-driven discovery and indexing. Instead of focusing solely on human-readable SEO, it examines your site’s structure, metadata, and schema from the perspective of Large Language Models (LLMs) and AI agents.

🔍 What We Check

  • Meta Tags: We look for ai:summary, ai:intent, and ai:keywords tags to help LLMs quickly understand your content.
  • Structured Data: We validate presence of Organization and Product JSON-LD schema to help search engines and AI associate your content with a brand and offerings.
  • Markdown & llms.txt: Pages should have accessible Markdown versions, and a /llms.txt index file listing them for AI crawlers.

⚖️ Scoring Logic

Each rule carries a different weight depending on its importance:

  • High Importance: -10 points if missing
  • Medium Importance: -5 points if missing
  • Low Importance: -2 points if missing

A perfect page scores 100. Missing high-priority elements like ai:summary or /llms.txt can significantly reduce your score.

💡 Why It Matters

AI assistants like ChatGPT, Gemini, and Claude increasingly rely on structured summaries, semantic cues, and schema to identify and rank content. Traditional SEO is no longer enough. This tool helps you future-proof your site for AI-first discovery.

🛠️ Best Practices

  • Include AI-specific meta tags for every important page
  • Maintain up-to-date product and brand schema
  • Offer clean Markdown (.md) versions of key content
  • Publish and link to /llms.txt from your site root

LLM Scoring Logic: How It Works

The LLM Brand tool is designed to evaluate how well your brand is doing in the top LLMs.

🛠️ LLM Scoring Logic

✅Visibility Score
How often and how prominently your brand is ranked by LLMs.
visibility_score = 100 * (# of prompts where brand is ranked) / total prompts
Ranks are weighted (1st > 5th), and this score is averaged across all LLMs.
✅Presence Score
How often your brand is mentioned at all.
presence_score = 100 * (# of prompts where brand is mentioned) / total prompts
No ranking required. Measures general awareness, mentions in context, and name recognition.
✅LLM SEO Score
Combines visibility, technical signals, content structure, and query alignment to estimate how likely a page is to surface in AI answers.

For technical implementation help or advanced analysis, contact our team or visit the Agentic Audit Tool.