About SitePulsar

How our AI audit engine works and what drives each score.

What SitePulsar does

SitePulsar audits how well a website is positioned in the age of generative AI. It runs two complementary audits: a GEO audit that measures brand visibility inside AI engines (ChatGPT, Claude, Gemini, Perplexity, Grok), and an AIO audit that measures how ready the website is for autonomous AI agents that browse, extract data, and take actions on behalf of users.

Every audit is generated by AI and every report carries an AI-generated disclaimer in compliance with the EU AI Act (Article 50). Scores are informational — not a guarantee of ranking or agent compatibility.

The Penta-Core scoring engine

Both the GEO and AIO audits are scored by our Penta-Core engine — a weighted model with five dimensions per audit. Scores are calculated deterministically from the five dimension scores, so the overall score is always a reproducible weighted average.

GEO Score — AI Visibility (5 dimensions)

Measures how well AI engines understand, reference, and recommend your brand.

Schema Markup(20%)

Structured data quality — JSON-LD types, entity completeness, quantifiable attributes (prices, specs, availability).

Brand Authority(20%)

Whether AI engines recognise and recommend your brand, based on reputation signals from ChatGPT, Claude, Gemini, Perplexity, and Grok.

Content Structure(25%)

2026 Scientific Standard signals: quantitative density (TR1), expert attribution (TR2), token efficiency / Flesch-Kincaid readability (TR5), answer-first structures (TR8), atomic content blocks (TR9).

AI Visibility(25%)

How prominently the brand appears in AI engine responses — sentiment, recommendation frequency, and authority scores across all five engines.

Competitive Position(10%)

How the brand compares to competitors named by AI engines.

AIO Score — Agentic Readiness (5 dimensions)

Measures how ready the website is for autonomous AI agents.

Machine Readability(20%)

robots.txt AI bot access, sitemap quality, llms.txt (with structured sections), ai-plugin.json, .well-known/ai.json, and the 6-layer LLM file stack.

Trust & Verification(25%)

AggregateRating / Review schema, third-party review platform links, evidence-of-facts.json with source-backed claims and verified_by metadata, certification schema.

Content Accessibility(20%)

Metadata completeness, Schema.org depth and entity completeness, clean markdown / YAML alternates, atomic content hierarchy, compliance signals (GDPR, ethical certifications).

Action Readiness(20%)

OpenAPI / GraphQL endpoint discoverability, pricing transparency (total cost of ownership — shipping, maintenance, warranty), Product schema with populated price and availability.

Navigation Clarity(15%)

Sitemap quality (lastmod/priority), heading hierarchy, semantic HTML elements, canonical URLs, BreadcrumbList schema.

Action plan priorities

Each audit generates a prioritised action plan. Priority levels and their expected score impact are calibrated to be consistent:

Critical70–100% impact

High50–69% impact

Medium30–49% impact

Low10–29% impact

AI providers used

SitePulsar sends audit data to the following AI providers to generate scores and recommendations:

OpenAI — GPT-4o for reputation, competitor, and GEO aggregation
Anthropic — Claude (Sonnet) as primary or fallback provider
Google — Gemini 2.0 Flash for reputation and competitor analysis
xAI — Grok for reputation analysis
Perplexity — Brand mention and reputation queries

Only publicly available website data (crawled HTML, schema markup) and the submitted URL and brand name are sent to these providers. No personal data of your website's users is included. See our Privacy Policy for full details.