WebDarpan Methodology & Disclosures
Complete transparency regarding how WebDarpan measures implementation health, processes Search Console data, and generates optimization opportunities.
1. Three Authoritative Analytical Signals
WebDarpan strictly separates three distinct data layers. We never blend implementation audits with observed traffic to create opaque composite scores:
- WebDarpan Health (Implementation Truth): Deterministic 0–100 score based strictly on technical DOM, metadata, HTTP headers, schema, and performance audits.
- Search Visibility (Observed Data): Real performance metrics pulled directly from your verified Google Search Console account (clicks, impressions, CTR, average position).
- Opportunities (Derived Heuristics): Transparent recommendations calculated using deterministic rules (
Impact + Confidence + Leverage + Effort).
2. Strict Non-Overclaiming Phrasing Guarantees
WebDarpan never promises ranking positions or guaranteed traffic gains. We enforce conservative, factual language across all reports:
"Guaranteed to reach position 5" / "Fixing this will increase organic traffic by 40%".
"Currently observed in positions 8–12" / "WebDarpan identifies this as a potential optimization opportunity" / "Worth reviewing search presentation".
3. Role & Boundaries of WebDarpan AI
WebDarpan AI serves purely as an advisory interpretation layer. AI can explain findings, summarize Search Console trends, and draft content briefs. AI cannot create fake evidence, modify deterministic audit scores, or invent search metrics.
4. Five-Pillar Scoring Architecture & Criteria
WebDarpan evaluates search intelligence across five transparent, deterministic pillars. Each pillar is scored on a 0–100 scale:
| Pillar | Weight | Core Signals Evaluated | Governing Standards & Targets |
|---|---|---|---|
| SEO | 30% | HTTPS/SSL, canonical tags, robots.txt, XML sitemap, status codes, single H1 hierarchy | W3C, Google Search Central, RFC 9110 |
| AEO | 20% | Question headings, 40–60 word answer proximity, structured lists, FAQPage schema | Google Featured Snippets, Knowledge Panels |
| GEO | 20% | Organization & Brand entity schema, Knowledge Graph sameAs links, citation evidence | Schema.org, Perplexity, Google AI Overviews |
| LLMO | 15% | AI crawler rules (OAI-SearchBot, GPTBot, PerplexityBot, ClaudeBot), SSR DOM parity, llms.txt | llmstxt.org, robots.txt standards |
| VSO | 15% | SpeakableSpecification schema, 15–20 word sentence cadence, spoken readability, NAP alignment | Schema.org Speakable, Voice Assistants |
5. Implemented Features vs. Planned Enhancements
- Deterministic 5-pillar HTML & header scanning
- SSRF double-pass protected live URL validation
- XML sitemap syntax & coverage checking
- JSON-LD schema & entity graph extraction
- Platform-specific remediation fix generation
- Automated GitHub PR creation for schema fixes
- Continuous daily crawl scheduling via webhooks
- Direct Search Console indexing API triggers
- Multi-locale hreflang parity auditing