The 5-Step Pipeline
Kenvada GEO is not a collection of random features. It's a sequential pipeline: each step feeds the next. Here's how the modules map to each step.
Step 1: Scan + Diagnose (5 modules)
Kenvada GEO crawls your website and observes Google Search results for your target prompts to establish a baseline.
- Site Crawler — Firecrawl-powered. Crawls up to 5,000 pages. Extracts content, headers, meta tags, schema markup, internal/external links.
- AI Search Observation — Observes Google Search results (AI Overview + organic, US · desktop · English, via DataForSEO) for your target prompts. Records mentions, citations, sentiment, and position. No other engine is queried.
- GEO Score Calculator (M1) — Generates your overall score weighted across 5 categories.
- Content Health 4-Layer (CA1) — Scores every page on Structure, Data Richness, Extractability, and Freshness. Flags zombie content.
- Competitive Benchmarker (CA2) — Compares your scores against up to 20 competitors.
Step 2: Prioritize (4 modules)
Issues from the scan are ranked so you fix what matters most, first.
- Priority Pipeline (M8) — Orders every issue by severity (Critical → Low), then by a per-module impact weight. The ordered resolutions export as a Resolution Workbook (.xlsx) from the scan's Fixes tab (Download workbook button).
- 10 Universal GEO Feature Scorer (C9) — Scores based on the 10 features identified in MIT/Columbia's E-GEO research.
- Fan-Out Query Analyzer (C8) — Decomposes target keywords into 10+ sub-queries. Shows which you cover and which competitors own.
- Entity Authority Scoring — Identifies which entities your pages need but don't have.
Step 3: Fix + Generate (25 modules)
For every issue, Kenvada GEO generates deployable code — not suggestions.
Access Fixes (4 modules)
- A1: robots.txt Patch — rules for 14 AI crawlers
- A2: llms.txt Generator — machine-readable brand file
- A3: Indexability Fixer — canonical, noindex, redirect chain fixes
- A4: Sitemap Generator — sitemap.xml from crawled pages (no priority values)
Schema Fixes (7 modules)
- S1: FAQ Schema (FAQPage JSON-LD)
- S2: Brand Entity (Organization JSON-LD)
- S3: Author + Article (Person + Article JSON-LD)
- S4: Product/Service Schema
- S5: Breadcrumb (BreadcrumbList JSON-LD)
- S6: HowTo Schema
- S7: Review/Rating Schema
Content Fixes (8 modules)
- C1: BLUF Generator — Bottom Line Up Front summary blocks
- C3: Entity Gap Fixer — missing entities identified via NER
- C4: Internal Link Fixer — orphan page detection + link suggestions
- C5: Comparison Content Generator
- C6: Section Rewrite + Confidence Score — hedge phrase detection
- C7: AI Hallucination Mining — find fake URLs AI invented
- C8: Fan-Out Query Analyzer — sub-query coverage
Trust Fixes (6 modules)
- T1: Citation Readiness Scorer
- T2: Trust Signal Auditor
- T3: Author Trust Auditor
- T4: Brand Consistency Checker
- T5: LLM Seeding Audit (Wikipedia, LinkedIn, Crunchbase, Reddit, YouTube, Quora)
- T6: Earned Media Gap Finder
Step 4: Assign (1 module)
Hand the work to your team with the fix code attached.
- Resolution Workbook — Export every resolution as .xlsx (severity, affected pages, deploy instructions, fix code per page). Content findings hand off to Kenvada Content.
Step 5: Prove + Monitor (6 modules)
Track improvements and prove ROI.
- M2: AI Search Observation — brand-mention checks on Google Search, run from the dashboard
- M3: Per-Engine Citation Profile
- M4: Share of Model — your brand vs competitors in AI responses
- M5: Citation Decay Alerts — compares your latest observation with the one about a week earlier; not yet triggerable from the dashboard
- M9: Industry Benchmarks
- M11: Multi-Region APAC — the same prompts observed from six market vantages (US + 5 APAC), English-language queries only; not yet available from the dashboard