Understanding the RoastMyUrl Audit
Discover how our engine extracts, analyzes and qualifies the technical, semantic and structural signals of your site to evaluate its readability against both classic and generative (AI) search engines.
Objective & Scope
RoastMyUrl acts as an agnostic crawler. It identifies friction points that degrade data extraction by search engines (Googlebot) and conversational agents (GPTBot, Claude).
Main Objective
Move from subjective intuition to a structured, cold and actionable technical diagnosis via a prioritization matrix.
Expected Result
A more readable architecture, a disambiguated semantic footprint and a site technically armed for AI citation.
Analysis Methodology
Payload Extraction
Target URL submission. The engine checks exploration directives (Robots.txt, WAF) then extracts raw source code, purging HTML noise to isolate the real semantic signal.
Signal Evaluation
Screening of metadata (Title, Description, H1), semantic structure (JSON-LD), performance (TTFB) and social proof vectors (OpenGraph).
Scoring & GEO Radar
Calculation of concentration and industry similarity indices. Generation of the strategic dashboard evaluating citation probability against language models.
Action Roadmap
Generation of a prioritized roadmap (Immediate, 30 Days, 90 Days) targeting fixes with the highest impact on indexability and conversion.
Analyzed Signals Matrix
The audit's robustness relies on the intersection of 6 fundamental pillars of modern web engineering.
Technical Foundation
TTFB, HTTP requests, indexation directives, canonical tags and server robustness.
SEO Semantics
Hn hierarchy, Title/Desc consistency, lexical depth and target intent clarity.
AI Comprehension (GEO)
Structured data (Schema.org), clear business entity presence, llms.txt integration.
Trust & Authority
E-E-A-T signals, author/entity identification, legal pages and trust mentions.
Brand Footprint
Social vectors (complete OpenGraph), domain/brand naming consistency.
Business Activation
CTA accessibility, journey friction and data presence for autonomous agents.
Profondeur d'Analyse
Standard Audit (URL)
Focused examination on a single entry point. Detects immediate page flaws (Landing, Article) for a quick diagnostic of user and robot experience.
Deep Scan (Domain)
Systemic exploration required during redesigns or migrations. Isolates recurring template defects and cross-cutting architecture weaknesses.
Severity Reading
The dashboard uses a strict color code to separate technical urgency from cosmetic optimization.
La convergence SEO & GEO
Search engine optimization (SEO) and generative engine optimization (GEO) don’t oppose each other - they complement on strict fundamentals.
The Common Foundation (Immutable)
Semantic HTML, clear intent tags (Title), clean taxonomy and flawless server performance remain the absolute prerequisites for any indexation.
The Evolution (LLM & Agents)
LLMs extract pure value, ignoring design. Expertise density, structured data and entity disambiguation become the new levers of domination.
Frequently Asked Questions
Ready to map your footprint?
Evaluate the technical and semantic readability of your URL against modern web requirements.