One pipeline. Every fix deployed.

Not a feature list. A complete action system — from invisible to cited, with deployable code at every step.

llms.txt GeneratorContent Health 4-LayerBLUF GeneratorConfidence ScoreHallucination MiningFan-Out AnalyzerDeployable Fix Code

7 things Kenvada GEO does

Beyond monitoring: every finding ships with deployable fix code.

llms.txt Generator

Auto-generate machine-readable brand files (llms.txt + llms-full.txt) per the llmstxt.org spec. An optional standard for the LLM ecosystem, not a Google requirement.

Content Health 4-Layer Scanner

Score every page across 4 dimensions: Structure, Data Richness, Extractability, Freshness. Includes Zombie Content detection.

BLUF Generator

Bottom Line Up Front: auto-generate 200-word summary blocks per section.

Confidence Score

Rate 1-5 per section. Detect hedge phrases ('might', 'possibly', 'some say') in your content.

AI Hallucination Mining

Scan 404s from AI referrers to find URLs that ChatGPT/Perplexity invented about your brand. Fix before users land on dead pages.

Fan-Out Query Analyzer

One keyword generates 10+ sub-queries. See which ones you rank for and which competitors own.

Deployable Fix Code

Every issue comes with copy-paste code: robots.txt patches, JSON-LD schema, HTML blocks, llms.txt files. Not suggestions — actual code.

The complete pipeline

Scan → Prioritize → Fix → Assign → Prove

Step 1

Scan + Diagnose

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Site Crawler

Crawl up to 5,000 pages via Firecrawl. Extract content, headers, schema, links, meta tags. JS rendering included.

—

AI Search Observation

Observe Google Search results (AI Overview + organic, US) for your target prompts — see whether your brand appears and whether your pages are cited.

M1

GEO Score Calculator

5-category weighted score: Tech (40%) / Content (25%) / AI Readiness (20%) / Trust (10%) / UX (5%).

CA1

Content Health 4-Layer SIGNATURE

Structure + Data Richness + Extractability + Freshness scoring per page. Includes Zombie Content detection.

CA2

Competitive Benchmarker

Side-by-side comparison with up to 20 competitors: word count, stats, FAQ, schema, freshness, citations.

Step 2

Prioritize

M8

Priority Pipeline

Orders every issue by severity, then per-module impact weight. The ordered list exports as a Resolution Workbook (.xlsx) from the scan's Fixes tab.

C9

10 Universal GEO Feature Scorer

Score content based on MIT/Columbia E-GEO research: ranking emphasis, user intent, authoritativeness, factuality, and 6 more.

C8

Fan-Out Query Analyzer SIGNATURE

Decompose keywords into 10+ sub-queries. Find coverage gaps your competitors own.

M9

Entity Authority Scoring

Know exactly which entities you need to add per page based on schema, brand consistency, LLM presence, earned media.

Step 3

Fix + Generate

Access Fixes

4 modules
A1

AI Robots.txt Patch

Auto-generate rules for 14 AI crawlers: GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, OAI-SearchBot, and 8 more.

A2

llms.txt Generator SIGNATURE

Create llms.txt (<5KB) + llms-full.txt (10-100KB) per llmstxt.org spec. Templates for SaaS, ecommerce, agency, news.

A3

Indexability Fixer

Fix canonical issues, noindex on important pages, redirect chains, soft 404s, accordion/tabs hidden content.

A4

Sitemap Generator

Generate a clean sitemap.xml from your crawled pages, with lastmod only where the page declares a modified date. No priority values — Google's documentation says Google ignores them.

Schema Fixes

7 modules
S1

FAQ Schema

Extract Q&As + People Also Ask → FAQPage JSON-LD. 8+ Q&A pairs per page, cross-referenced with PAA data.

S2

Brand Entity Schema

Organization JSON-LD with logo, social links, contact point.

S3

Author + Article Schema

Person + Article JSON-LD with E-E-A-T signals. Link authors to Organization entity.

S4

Product/Service Schema

Auto-detect product vs service pages → generate appropriate JSON-LD with pricing, availability, reviews.

S5

Breadcrumb Schema

BreadcrumbList JSON-LD generated from URL hierarchy.

S6

HowTo Schema

Step-by-step HowTo JSON-LD for tutorial and guide pages.

S7

Review/Rating Schema

Review + AggregateRating JSON-LD. Pull from existing reviews or generate schema from testimonials.

Content Fixes

8 modules
C1

BLUF Generator SIGNATURE

Bottom Line Up Front: auto-generate 200-word summary block + per-section 30-50 word openings.

C3

Entity Gap Fixer

NER analysis: find entities competitors mention that you don't. Get exact entity lists to add per page.

C4

Internal Link Fixer

Detect orphan pages, analyze anchor text, suggest entity hierarchy linking. Topic Cluster Mapper included.

C5

Comparison Content Generator

Generate HTML comparison tables, 'vs' frameworks, 'best of' lists.

C6

Section Rewrite + Confidence Score SIGNATURE

Detect hedge phrases ('usually', 'might'). Score 1-5 per section. Suggest rewrites with specific data points.

C7

AI Hallucination Mining SIGNATURE

Scan 404 logs from AI referrers. >20 hits → CREATE page, 10-20 → PLAN, 3-10 → REDIRECT 301.

C8

Fan-Out Query Analyzer SIGNATURE

LLM simulates AI engine query decomposition (5-15 sub-queries). Check coverage per sub-query. ~$0.016/analysis.

C9

10 Universal GEO Scorer

Auto-check content against E-GEO paper 10 features: authoritativeness, factuality, scannability, urgency, and 6 more.

Trust Fixes

6 modules
T1

Citation Readiness Scorer

5 evidence layers: original data, sourced stats, case studies, useful FAQ, fresh content. Score 0-100.

T2

Trust Signal Auditor

Check E-E-A-T signals: public reviews → contextual testimonials → case studies with data → community proof.

T3

Author Trust Auditor

Author page audit, credentials, cross-platform consistency (LinkedIn, social, publications).

T4

Brand Consistency Checker

NAP consistency + entity messaging sheet: brand name, tagline, 50-word and 100-word descriptions.

T5

LLM Seeding Audit

Check brand presence on Wikipedia, LinkedIn, Crunchbase, Reddit, YouTube, Quora.

T6

Earned Media Gap Finder

Scan AI responses → find 3rd-party pages where competitors are cited but you're not. Get outreach targets.

Step 4

Assign

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Resolution Workbook

Export every resolution as .xlsx: severity, affected pages, deploy-into / where / how instructions, and the fix code per page.

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Fix Code Per Page

JSON-LD, robots.txt, llms.txt and HTML blocks attached to each resolution. Copy-paste ready for implementation.

—

Content Hand-off

Content findings are routed to Kenvada Content with the detected gap; Kenvada GEO writes no prose.

—

Progress Tracking

Re-scan and compare: issues resolved vs remaining and GEO Score before/after, scan over scan.

Step 5

Prove + Monitor

M1

GEO Score Dashboard

Track score changes over time. Before/after per fix round. Trends across your scans.

M2

AI Search Observation

Brand-mention observation on Google Search (AI Overview + organic), run from the dashboard. Mention rate is an internal estimate.

M3

Citation Readiness Checklists

Three internal heuristic checklists per page: answer structure, sourcing and data, search signals. Not engine requirements.

M4

Share of Voice Tracker

Multi-run averaging (10x per query). Your brand vs competitors in observed Google Search results. Alert on >10% drop.

M5

Citation Decay Alerts

Compares your latest observation with the one about a week earlier and suggests refresh actions. Not yet triggerable from the dashboard.

M7

White-Label Dashboard

Agency tier: custom domain, logo, colors, client isolation.

M10

Schema Health Monitor

Schema validation on each scan: missing types, missing required fields, invalid JSON-LD.

M11

Multi-Region APAC

Same prompts observed on Google Search from six market vantages: US, Vietnam, Singapore, Thailand, Malaysia, Indonesia. Queries are sent in English only. Not yet available from the dashboard.

M12

Access Log AI Bot Analyzer

Upload server logs → parse AI bot visits → crawl frequency patterns → anomaly detection.

M13

API + MCP Server

RESTful API + Model Context Protocol endpoint exist in the backend, but API keys cannot be issued yet — not available to customers today.

M14

Personalization Impact

Test queries with different personas and locations. See how AI results change per user context.

The modules, working together

🔓
4
Access Fixes
📋
7
Schema Fixes
📝
8
Content Fixes
🛡️
6
Trust Fixes
📊
14
Monitoring
🔬
3
Analysis

Backed by research

Kenvada GEO implements findings from leading academic research into actionable modules.

Princeton GEO (KDD 2024)

"Top methods: Statistics Addition, Cite Sources, Quotation Addition."

E-GEO (MIT/Columbia, Nov 2025)

"7,000+ e-commerce queries tested. Optimization-based approach outperforms 15 heuristics. Discovered 10 universal GEO features."

Deployable fixes. Zero guesswork.

Start with a free scan — see your GEO Score in 5 minutes.