Understanding Your Report

How to use this report

Your GEOsync report evaluates how “answer‑ready” a page is for AI engines. It follows a consistent structure: Robots & LLMs files, HTML/SEO health, Content overview, AI Model Comparison, and model‑specific summaries. Use it to quickly spot issues, confirm strengths, and prioritize improvements.

Robots.txt & LLMs Files

This section checks crawler permissions (e.g., GPTBot, ClaudeBot, Google‑Extended) and looks forllms.txt (and optional llms-full.txt). These emerging files help communicate how your content may be used by LLMs. Absence doesn’t break your report, but configuring them can clarify usage and attribution policies.

• Green checks indicate allowed access for the listed AI crawlers.
• Action: If you have specific LLM usage guidance, add llms.txt at the site root.

HTML Structure & SEO

We verify foundational elements that help both search engines and AI parsers: heading hierarchy (H1/H2/H3), meta description, canonical URL, social meta (Open Graph/Twitter), and basic structured data. Clear hierarchy and complete meta improve how models isolate, summarize, and cite your content.

• Headings: One descriptive H1 per page; use H2/H3 to segment topics.
• Meta: Ensure a present, descriptive meta description; set canonical URL.
• Structured data: Include Organization / WebSite where applicable.
• Accessibility: Alt text, contrast, and form labels affect comprehension and trust.

Content Analysis

A concise snapshot of what’s on the page: title, meta description, H1, word count, links, and images. This reveals whether the page has enough substance, clarity, and scannable elements to be quoted in AI answers. Sparse pages or unclear headings typically need expansion and structuring.

• Signal density: Short pages can still perform if they answer a focused question well.
• Media & links: Use alt text; keep internal links purposeful; avoid excessive external links.

AI Model Comparison

This compares how different models align with your page. You’ll see metrics like Keyword Overlap (shared terms) and Semantic Similarity (meaning alignment). Higher similarity (often 70%+) typically indicates the model’s summary tracks your content well.

• GEO Score: A 1–10 signal of answer‑readiness across clarity, accuracy, completeness, relevance, uniqueness.
• Interpretation: If overlap is low but similarity is high, your concepts are clear but terminology may differ—tighten headings and FAQs.
• Action: Use EchoTune™ to align phrasing with user questions while keeping your voice.

Model‑Specific Summaries

Each leading model (e.g., OpenAI, Anthropic, Gemini) produces a short summary, audience notes, and highlights. Use these to verify your key value props are consistently understood. If a model misses an essential point (pricing, core features), reinforce that content near the top with a clear heading and a 2–3 sentence summary, then re‑run the report.

Interpreting Scores

• 80–100: Strong answer‑readiness. Refine summaries, add small FAQ blocks, and reinforce attribution.
• 60–79: Solid foundation. Improve headings, tighten copy, and clarify claims with source context.
• <60: Start with a clear page summary and stronger sectioning; address flagged issues then re‑run.

What to fix first

1. Headings & summaries: Clear H1; descriptive H2/H3; 2–3 sentence top summary.
2. Attribution lines: Make brand/product claims explicit and easily quotable.
3. Quick wins: Add a short on‑page FAQ answering the top 3 questions you want cited.
4. Structured data & meta: Ensure canonical, meta description, and key OG/Twitter tags.

Need more help?

Visit Help / FAQ / Contact or email us at info@geo-sync.io.