Diagnostic · methodology

Methodology

This page explains how Existence Compiler evaluates a site. The main analysis is deterministic (rule-based) and measures structural conditions: whether a site gives human and algorithmic discovery systems enough to parse, summarize, trust, and reuse.

Existence Compiler · 2026
01

What Existence Compiler measures

Existence Compiler crawls the main page of the URL you provide, extracts publicly visible structural signals, and checks a set of known pages. From that it produces a Digital Existence Score and several independent diagnostic surfaces. It does not execute the site's JavaScript and does not access private content.

02

The Digital Existence Layer

The Digital Existence Layer is the set of technical, semantic, structural, trust and distribution signals that allows a website to be found, understood, trusted and acted upon by humans, search engines, AI models and agents. Existence Compiler audits this layer: the five score dimensions and the agentic readiness surface map to its components. SEO helps search engines rank you; GEO helps generative engines cite you; AI readiness helps models read you; agent readiness helps agents navigate you. The Digital Existence Layer is the structural layer underneath all of them — a formal name for what this analysis has always measured. It describes readiness conditions, not outcomes.

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Digital Existence Score

A 0–100 score calculated by deterministic rules across five dimensions: technical presence (title, meta description, canonical, robots.txt, sitemap, favicon), semantic clarity (heading structure, visible text, stated purpose), AI readability (schema.org, llms.txt, pages that help describe the project), trust signals (about, privacy, terms, contact, security), and distribution readiness (Open Graph and Twitter/X cards).

04

AI & Search Visibility

A standalone surface of weighted structural checks — title, meta description, canonical, robots.txt, sitemap, llms.txt, JSON-LD, Open Graph, Twitter Cards, hreflang, and noindex detection — reported as a separate visibility score. It does not change the Digital Existence Score.

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Google AI & Agentic Search Readiness

A standalone surface measuring structural readiness for AI Overviews, AI Mode, multimodal search, information agents, and generative search experiences: extractable answers, monitorable freshness signals, multimodal asset clarity, conversational depth, data transformability, and action/contact clarity. It measures readiness, not inclusion. It does not change the Digital Existence Score.

06

Security / Trust

A passive audit of publicly observable security signals: HTTPS, TLS certificate validity, HTTP→HTTPS redirect, security headers (HSTS, CSP, X-Frame-Options, X-Content-Type-Options, Referrer-Policy, Permissions-Policy), cookie flags, and DNS SPF/DMARC records. Some items — such as SPF and DMARC — are configured at the DNS/provider level, not in application code.

07

Backend Consistency

A set of internal checks that verifies the report's surfaces are consistent with one another. Zero findings means the surfaces agree; findings flag discrepancies to review.

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What the score means

The score summarizes how well prepared a site is, at the structural level, to be detected, understood, and reused by search engines, AI systems, and agentic discovery layers. It is a measure of conditions, not of outcomes.

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What the score does NOT mean

A high score does not imply search positions, traffic volume, conversions, revenue, citations, or inclusion in AI experiences. Those outcomes depend on many factors outside the scope of a structural analysis, including product quality, demand, competition, and external systems that change over time.

Disclaimer

This measures structural conditions. It does not guarantee rankings, traffic, citations, inclusion in AI Overviews, or outcomes from Google or any AI system.

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