4 Engines

Four engines that cover the complete SEO lifecycle.

Diagnose with the Audit Engine. Discover opportunities with the Research Engine. Write with the Content Engine. Build and deploy with the Site Engine — optimized for Google, AI Overviews, ChatGPT, and every AI search platform.

Free · No credit card · Results in 10 minutes

1

Audit Engine

Diagnose everything. Miss nothing.

Our AI agents crawl your website and run a comprehensive 21-phase SEO audit. Every phase produces detailed findings, actionable recommendations, and a professional PDF report. Two proprietary scoring frameworks — LOCAL-IMPACT (60 items) and SERP-TRUST (50 items) — give you a single health score to track over time.

What you get

  • +21-phase comprehensive SEO audit
  • +LOCAL-IMPACT scoring (60 items, 8 dimensions)
  • +SERP-TRUST scoring (50 items, 5 dimensions)
  • +SEO Health Index (composite score)
  • +AI visibility across 5 platforms: AIO, ChatGPT, Perplexity, Gemini, Copilot
  • +Per-phase PDF reports + master report
  • +Auto-deployed client micro-site with interactive dashboard
  • +Competitor comparison on every finding
  • +GEO / AI citability scoring
  • +Priority matrix (Impact x Feasibility) on every issue
  • +30/90-day action plans + 6/12-month roadmap
  • +300+ individual checks across all phases
claude
$ claude /seo-audit https://acme-plumbing.com
Crawling 847 pages across 2 subdomains...
Running 21 phases with 6 specialist agents...
LOCAL-IMPACT: 62/100 | SERP-TRUST: 58/100
23 critical, 41 high, 67 medium issues found
PDF saved → Client site deployed.

All 21 audit phases

Phase 0

Information Gathering

Intake form, URL validation, competitor research

Phase 1

Competitor Analysis

Deep competitive landscape and gap analysis

Phase 2

Technical SEO

Crawlability, indexation, JS rendering, infrastructure

Phase 3

On-Page SEO

Titles, metas, headings, images, URL structure

Phase 4

Content Audit

Quality, relevance, thin content, cannibalization

Phase 5

Content Gaps

Missing topics vs competitors and AI search

Phase 6

Keyword Gaps

Highest-ROI keyword opportunities

Phase 7

Topical Gaps

Topical authority coverage analysis

Phase 8

Topical Authority

Domain authority assessment and building strategy

Phase 9

Entity Audit

Knowledge Graph, Wikidata, sameAs connections

Phase 10

Speed & Core Web Vitals

LCP, INP, CLS, page speed optimization

Phase 11

Local SEO & GBP

GBP, citations, NAP, reviews, local pack

Phase 12

Backlinks

Link profile, authority, toxic links, competitor gaps

Phase 13

Social Media

Social presence and signals audit

Phase 14

AI Visibility & GEO

AIO, ChatGPT, Perplexity, Gemini, Copilot

Phase 15

Reputation & Reviews

Review sentiment, velocity, management

Phase 16

Brand SERP

Brand search results and Knowledge Panel

Phase 17

UX & CRO

Conversion funnel, CTAs, trust signals

Phase 18

Voice Search

Voice query, speakable, conversational AI

Phase 19

Accessibility

WCAG compliance, ADA verification

Phase 20

Penalty Check

Manual actions, algorithmic suppression

Phase 21

Multi-Location

Location pages, content differentiation

Framework 1

LOCAL-IMPACT

60 items across 8 dimensions

Visibility, GBP, Citations, Reviews, Content, Technical, Links, AI

Framework 2

SERP-TRUST

50 items across 5 dimensions

Authority, Relevance, Trust, Experience, Technical

Composite

SEO Health Index

Weighted composite score

(LOCAL-IMPACT x 0.55) + (SERP-TRUST x 0.45)

2

Research Engine

Deep intelligence before a single word is written.

The Research Engine takes audit findings and digs deeper — discovering keyword opportunities from 12 sources, extracting entities from 14 sources, mapping competitor strategies across 6-10 layers, and building a complete topical authority map. This intelligence feeds directly into the Content and Site Engines so every page targets real search demand.

What you get

  • +Keywords from 12 sources (Google, Bing, Reddit, YouTube, autocomplete, PAA, etc.)
  • +Semantic clustering by intent with cannibalization detection
  • +50+ entities extracted from 14 sources with Wikidata validation
  • +Entity-to-page mapping for maximum semantic relevance
  • +6-10 layer competitor intelligence (rankings, content, links, AI visibility)
  • +Topical authority map (core/outer sections, hub-spoke architecture)
  • +Koray TA score: Coverage x Historical x Retrieval + Momentum + Depth + Vastness
  • +Content gap analysis vs competitors and AI search platforms
  • +Search volume, difficulty, and CPC data per keyword cluster
  • +Publish order calendar ensuring topical authority builds systematically
claude
$ claude /seo-research --domain acme-plumbing.com
Keyword discovery (12 sources) ........... 187 found
Semantic clustering ..................... 34 clusters
Entity extraction (14 sources) .......... 63 entities
Competitor analysis (5 competitors) ..... done
Topical map (core + outer sections) ..... done
TA Score: 42/100 → Target: 85+ (gap: 43 points)
Research data ready for Content Engine.

Research pipeline

Phase 1

Market Analysis

Local market size, demand patterns, seasonal trends

Phase 2

ICP Development

Ideal customer profiles, buyer personas, pain points

Phase 3

Competitor Intelligence

Rankings, content gaps, backlink profiles, AI visibility

Phase 4

Keyword Discovery

Full keyword universe from 12 sources, including PAA and autocomplete

Phase 5

Keyword Clustering

Semantic clustering, intent classification, page assignment

Phase 6

Entity Research

50+ entities from 14 sources, Wikidata validation

Phase 7

Entity Mapping

Map entities to keyword clusters for semantic depth

Phase 8

Topical Authority Map

Core/outer sections, hub-spoke architecture, coverage gaps

12 keyword sources

Google Autocomplete
People Also Ask
Related Searches
YouTube Suggest
Reddit Threads
Bing Suggest
Google Trends
Answer the Public
Quora Topics
Wikipedia Categories
Competitor Rankings
AI Platform Queries
3

Content Engine

Research-driven content. Not AI slop.

The Content Engine takes everything the Research Engine discovered — keywords, entities, topical map, competitor gaps — and writes pages that are structured for both Google and AI search. Every page follows Koray's 42 holistic writing rules, scores against HCU quality metrics, and includes E-E-A-T signals. EAV triple semantic briefs ensure maximum entity coverage per page.

What you get

  • +EAV triple semantic content briefs for every page
  • +Content written with 42 holistic writing rules
  • +HCU quality audit (0-100 per page, 7 dimensions)
  • +AI-citable answer blocks (134-167 word passages)
  • +E-E-A-T signals embedded throughout
  • +3 quality gates (cannibalization, E-E-A-T, human test)
  • +Schema markup generated from EAV triples
  • +Internal linking strategy with hub-spoke patterns
  • +Question-heading structure for AI Overviews
  • +Definition and statistic density patterns for GEO
claude
$ claude /content-generate --from-research
Loading research data (187 kw, 63 entities) . done
Generating content briefs (42 pages) ....... done
Writing pages (42 rules, HCU scoring) ...... done
Quality gates (3/3 passed) ................. done
42 pages written | Avg HCU: 87/100
Content ready for Site Engine.

Koray semantic SEO methodology

Topical Authority Formula
Coverage x Historical x Retrieval + Momentum + Depth + Vastness + Updateness
Writing Rules
42 holistic rules for maximum semantic relevance
Quality Scoring
HCU 0-100 rubric across 7 dimensions per page
Content Briefs
EAV triple semantic briefs with source context
Quality Gates
Cannibalization, E-E-A-T, 5-point human test
Target TA Score
85+ for unbreakable topical authority

Content pipeline

Phase 1

Content Briefs

EAV triple briefs with keyword targets and entity requirements

Phase 2

Content Calendar

Publish order ensuring TA builds systematically

Phase 3

Content Generation

Full pages with 42 rules, HCU scoring, E-E-A-T signals

Phase 4

Internal Linking

Hub-spoke patterns, anchor strategy, orphan detection

4

Site Engine

Research-driven websites. Not templates.

The Site Engine takes everything the Audit, Research, and Content Engines produce — 21 phases of findings, full keyword research, entity mapping, a complete topical map, and scored content — and builds a production-grade website that's architecturally engineered to rank on Google and get cited by AI. Every page targets a specific keyword cluster. Every content block is structured for AI citation.

What makes it different

  • +Design derived from business vertical + competitor analysis
  • +Custom color system and typography from brand identity
  • +Every page targets a specific keyword cluster from research
  • +AI-citable content blocks (134-167 word answer passages)
  • +Full schema.org markup — LocalBusiness, FAQ, HowTo, Service, BreadcrumbList
  • +Internal linking follows topical authority hub-spoke structure
  • +GEO-optimized: definition patterns, statistical density, Q&A headings
  • +AEO-ready: speakable schema, question headings, direct answers
  • +llms.txt for AI crawlers, IndexNow for instant indexing
  • +Core Web Vitals optimized (LCP < 2.5s, CLS < 0.1, INP < 200ms)
  • +WCAG 2.1 AA accessibility compliance
  • +Deployed with preview + production environments
claude
$ claude /build-site --from-research --deploy
Reading audit findings (21 phases) ......... done
Reading content (38 pages, avg HCU: 87) .... done
Generating design system ................... done
Building site architecture (38 pages) ...... done
Injecting schema markup (LocalBusiness + 38 FAQ) done
Optimizing for AI search (citable blocks) .. done
Deployed → acme-plumbing.com
CWV: LCP 1.8s | CLS 0.04 | INP 120ms

Built-in optimization layers

SEO Architecture

  • Keyword-mapped URL structure
  • Canonical + hreflang tags
  • XML sitemap + robots.txt
  • Optimized meta titles/descriptions
  • Image alt text from entity data

AI Search / GEO

  • AI-citable answer passages (134-167 words)
  • Definition + statistic density patterns
  • Question-heading structure for AIO
  • llms.txt for crawler guidance
  • 5 AI crawler access verified

Structured Data

  • LocalBusiness schema
  • FAQ + HowTo + Service schema
  • BreadcrumbList navigation
  • Speakable + knowsAbout
  • Open Graph + Twitter Cards

Design Quality

  • Custom color system per brand
  • Vertical-specific component patterns
  • Typography hierarchy (not defaults)
  • No stock photo dependency
  • WCAG 2.1 AA accessibility

What we don't do

  • No template swapping with different colors
  • No generic stock photography
  • No copy from a 1-line prompt
  • No Tailwind UI copy-paste components
  • No pages that target nothing specific

The full pipeline

Four engines, one workflow. Audit finds the problems. Research uncovers the opportunities. Content writes the fix. Site Engine builds and deploys. Re-audit for a before/after score.

1

Audit finds 47 issues

21 phases identify every problem

2

Research Engine discovers

Keywords, entities, competitors, topical map

3

Content Engine writes

42 rules, HCU scoring, E-E-A-T signals

4

Site Engine deploys

Production website, re-audit for proof

Ready to try?

Start with a free 5-phase audit. Or see the full pricing for all four engines.

Free · No credit card · Results in 10 minutes