The 5-Step Pipeline

VELRA GEO is not a collection of random features. It's a sequential pipeline: each step feeds the next. Here's how the 42 modules map to each step.

Step 1: Scan + Diagnose (5 modules)

VELRA GEO crawls your website and queries AI engines 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 Engine Scanner — Queries ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot with your target prompts. Records mentions, citations, sentiment, position.
• 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) — Impact × Effort matrix. Every issue gets a P1-P4 ranking.
• 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, VELRA 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 Priority — XML sitemap optimization

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)

Export fix tickets to your team's tools.

• Fix Ticket Exporter — One-click export to Jira, Asana, Linear, Notion, Slack, CSV. Each ticket includes severity, effort estimate, role (dev/content/SEO), and the exact code diff.

Step 5: Prove + Monitor (7 modules)

Track improvements and prove ROI.

• M2: AI Visibility Monitor — daily/weekly mention tracking
• M3: Per-Engine Citation Profile
• M4: Share of Model — your brand vs competitors in AI responses
• M5: Citation Decay Alerts — Slack/email when citations drop
• M6: Revenue Attribution — GA4 integration for AI traffic → conversions → revenue
• M9: Industry Benchmarks
• M11: Multi-Region APAC