How AI Search Scores Are Calculated.
The exact mathematical formula, weight distributions, and deterministic probe logic powering the Composite Generative Index (0–100). Zero LLM hallucinations, zero probabilistic drift.
Where each pillar parameter \(P_i\) is evaluated independently on a scale of 0 to 100 via deterministic AST parsing, RFC 9309 rule compilation, network socket latency benchmarking, and Schema.org graph traversal.
The 5 Diagnostic Pillars: Scoring Criteria & Rules
Each pillar evaluates a mission-critical vector of synthetic retrieval. If any single pillar fails completely, generative visibility drops precipitously.
Frontier AI Crawler Accessibility
Deterministic RFC 9309 path evaluation for all 11 frontier search bots. Evaluates live citation crawlers vs offline training scrapers.
P_crawlers = 100 * (AllowedCitationBots / TotalCitationBots) - PenaltiesEntity Grounding & Knowledge Graph
Unambiguous brand anchoring in global knowledge graphs to eliminate hallucination during multi-source synthetic retrieval.
P_entity = WikidataLink (40) + WikipediaLink (30) + SameAsArray (15) + KnowsAbout (15)Structured Data & Schema Graph
Syntactic validity and interconnected topology of JSON-LD metadata, enabling LLM parsers to map domain capabilities.
P_schema = ValidJsonLd (30) + ConnectedGraph (25) + CoreEntities (25) + ZeroErrors (20)Technical Edge Performance & WAF
Edge response speed within AI retrieval timeout budgets (sub-120ms) and zero false-positive WAF challenges.
P_tech = TtfbScore (40) + Http3Quic (20) + ZeroWafChallenge (25) + ModernTls (15)Semantic Context & /llms.txt
Zero-noise markdown context files designed specifically for ingestion by frontier generative model reasoning loops.
P_llms = EndpointExists (50) + HighSnrMarkdown (25) + CuratedLinks (25)The 18 Deterministic Diagnostic Modules
Every audit executes 18 automated probes synchronously. The outputs are verified against published RFC protocols and cryptographic signatures.
| ID | Diagnostic Module | Category | Deterministic Probe Methodology | Scoring Impact |
|---|---|---|---|---|
| M01 | Frontier Citation Bot Parser | Crawler | RFC 9309 line-by-line deterministic evaluation | +25% weight |
| M02 | Training Scraper Isolation | Crawler | Separation of commercial harvesters from citation bots | Prevents false blocks |
| M03 | WAF Challenge Detector | Security | Simulation of AI crawler User-Agent & ASN fingerprinting | Up to -35 penalty |
| M04 | Edge TTFB Latency Benchmark | Performance | Sub-120ms millisecond socket handshake timing | +40 pts in P_tech |
| M05 | HTTP/3 (QUIC) Negotiator | Performance | ALPN negotiation check for h3 protocol | +20 pts in P_tech |
| M06 | TLS 1.3 & HSTS Preload Check | Security | Cipher suite audit and Strict-Transport-Security header | +15 pts in P_tech |
| M07 | JSON-LD Syntax Validator | Schema | W3C AST parser verifying bracket parity and keys | +30 pts in P_schema |
| M08 | Schema.org @graph Topology | Schema | Entity node connectivity via @id cross-referencing | +25 pts in P_schema |
| M09 | Primary Organization Grounding | Schema | Presence of canonical Organization metadata | +25 pts in P_schema |
| M10 | Wikidata QID Resolution | Entity | Regex scan for valid Q-identifier in sameAs URIs | +40 pts in P_entity |
| M11 | Wikipedia Knowledge Linkage | Entity | Cross-link detection to verified Wikipedia entry | +30 pts in P_entity |
| M12 | Federated Entity Mesh | Entity | Presence of GitHub, LinkedIn, and registry profiles | +15 pts in P_entity |
| M13 | /llms.txt Endpoint Probe | Context | Direct GET request to domain root for llms.txt standard | +50 pts in P_llms |
| M14 | RAG Markdown SNR Analysis | Context | Signal-to-noise token ratio calculation on markdown body | +25 pts in P_llms |
| M15 | 512-Token Semantic Chunk Sizer | Content | Rolling token-count segmentation testing window bounds | GEO readiness |
| M16 | Princeton Quotation Density | GEO | Heuristic detection of attributed expert quotes | +41.5% citation lift |
| M17 | Verifiable Statistics Ratio | GEO | Quantitative numerical density per 1,000 words | +37.8% citation lift |
| M18 | SHA-256 Deterministic Seal | Integrity | Cryptographic hash generated from canonical audit payload | Audit reproducibility |
Why Your Score Is Guaranteed to Be 100% Deterministic
Many AI audit tools call an LLM directly to “guess” whether a website is optimized, producing divergent scores on subsequent audits. AI Search Fixer operates differently:
Raw HTTP headers, robots.txt tokens, and JSON-LD AST nodes are parsed strictly by deterministic TypeScript algorithms.
The LLM report writer is never permitted to calculate scores, infer crawler status, or modify numerical ratings.
Every audit payload is hashed into an immutable cryptographic seal, ensuring identical site configurations yield identical scores.
Interactive AI Search Ranking Probability Calculator
Adjust live parameters to see how your Composite Generative Index and citation probabilities shift in real-time.
AI Search Ranking Probability Engine
Unlike Google 10 blue links that rely on PageRank backlink graphs, generative answer engines synthesize citations using vector embedding similarity, RFC 9309 crawler permissions, and knowledge graph grounding.
Authorizing OAI-SearchBot, PerplexityBot, and Claude-SearchBot in robots.txt allows direct real-time context ingestion.
Canonical Schema.org @id and sameAs links disambiguate your brand from generic word homonyms in the global knowledge graph.
Empirical research proves quotation clusters and statistical claims increase citation inclusion by up to 41.5%.
Placing concise TL;DR definitions immediately below H2 headers enables instantaneous RAG vector chunk extraction.
Standardized Markdown documentation deployed at /llms.txt feeds clean, token-efficient summaries to reasoning models.
Delivering full HTML without client-side JavaScript execution ensures non-headless AI crawlers never see empty pages.
Grounding Telemetry & Citation Cockpit.
Synthesized vector retrieval instrumentation. Inspect live neural branches, sweep the holographic scanner beam, and toggle pre/post remediation states.
Direct factual grounding linked across 4 frontier LLMs with multi-hop verification.
Ready to Audit Your Live Domain?
Receive your deterministic Composite Generative Index and 18-module technical diagnostic in 120ms.