Repository Analysis

zubair-trabzada/geo-seo-claude

GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community

19.4 Moderate AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of zubair-trabzada/geo-seo-claude, a Python project with 9,282 GitHub stars. SynthScan v2.0 examined 14,301 lines of code across 65 source files, recording 170 pattern matches distributed across 10 syntactic categories. The overall adjusted score of 19.4 places this repository in the Moderate AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

19.4
Adjusted Score
19.4
Raw Score
100%
Time Factor
2026-08-08
Last Push
9.3K
Stars
Python
Language
14.3K
Lines of Code
65
Files
170
Pattern Hits
2026-08-09
Scan Date
0.00
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 0MEDIUM 22LOW 148

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 170 distinct pattern matches across 10 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Structural Annotation Overuse94 hits · 152 pts
SeverityFileLineSnippetContext
LOWagents/geo-technical.md17### Step 1: Fetch Page HTML and Response HeadersCOMMENT
LOWagents/geo-technical.md29### Step 2: Robots.txt and XML SitemapCOMMENT
LOWagents/geo-technical.md49### Step 3: Meta Tags AnalysisCOMMENT
LOWagents/geo-technical.md65### Step 4: Security HeadersCOMMENT
LOWagents/geo-technical.md88### Step 5: URL StructureCOMMENT
LOWagents/geo-technical.md108### Step 6: Mobile OptimizationCOMMENT
LOWagents/geo-technical.md123### Step 7: Core Web Vitals AssessmentCOMMENT
LOWagents/geo-technical.md154### Step 8: Server-Side Rendering and JavaScript Dependency (CRITICAL)COMMENT
LOWagents/geo-technical.md182### Step 9: Additional Technical ChecksCOMMENT
LOWagents/geo-technical.md190### Step 10: Agent-Readiness Signals (non-scoring)COMMENT
LOWagents/geo-technical.md209### Step 11: Calculate Technical ScoreCOMMENT
LOWagents/geo-platform-analysis.md16### Step 1: Google AI Overviews (AIO) ReadinessCOMMENT
LOWagents/geo-platform-analysis.md43### Step 2: ChatGPT Web Search OptimizationCOMMENT
LOWagents/geo-platform-analysis.md70### Step 3: Perplexity AI OptimizationCOMMENT
LOWagents/geo-platform-analysis.md100### Step 4: Google Gemini OptimizationCOMMENT
LOWagents/geo-platform-analysis.md128### Step 5: Bing Copilot OptimizationCOMMENT
LOWagents/geo-platform-analysis.md161### Step 6: Cross-Platform ComparisonCOMMENT
LOWagents/geo-platform-analysis.md171### Step 7: Platform-Specific Action ItemsCOMMENT
LOWagents/geo-schema.md23### Step 1: Detect Existing Structured DataCOMMENT
LOWagents/geo-schema.md48### Step 2: Parse and Validate Detected SchemasCOMMENT
LOWagents/geo-schema.md74### Step 3: Check Google Rich Result EligibilityCOMMENT
LOWagents/geo-schema.md101### Step 4: Evaluate Critical GEO SchemasCOMMENT
LOWagents/geo-schema.md191### Step 5: Flag Deprecated and Restricted SchemasCOMMENT
LOWagents/geo-schema.md207### Step 6: Note JavaScript-Injected Schema WarningCOMMENT
LOWagents/geo-schema.md219### Step 7: Generate Recommended JSON-LD TemplatesCOMMENT
LOWagents/geo-schema.md240### Step 8: Score Schema CompletenessCOMMENT
LOWagents/geo-ai-visibility.md17### Step 1: Fetch and Extract Target ContentCOMMENT
LOWagents/geo-ai-visibility.md24### Step 2: Citability AnalysisCOMMENT
LOWagents/geo-ai-visibility.md44### Step 3: AI Crawler Access CheckCOMMENT
LOWagents/geo-ai-visibility.md83### Step 4: llms.txt AnalysisCOMMENT
LOWagents/geo-ai-visibility.md109### Step 5: Brand Mention ScanningCOMMENT
LOWagents/geo-ai-visibility.md145### Step 6: Compile AI Visibility Report SectionCOMMENT
LOWagents/geo-ai-visibility.md149### Step 7: Calculate AI Visibility ScoreCOMMENT
LOWagents/geo-content.md17### Step 1: Extract and Analyze Page ContentCOMMENT
LOWagents/geo-content.md32### Step 2: Experience EvaluationCOMMENT
LOWagents/geo-content.md56### Step 3: Expertise EvaluationCOMMENT
LOWagents/geo-content.md81### Step 4: Authoritativeness EvaluationCOMMENT
LOWagents/geo-content.md105### Step 5: Trustworthiness EvaluationCOMMENT
LOWagents/geo-content.md132### Step 6: Content MetricsCOMMENT
LOWagents/geo-content.md172### Step 7: AI Content IndicatorsCOMMENT
LOWagents/geo-content.md195### Step 8: Topical Authority AssessmentCOMMENT
LOWagents/geo-content.md205### Step 9: Content FreshnessCOMMENT
LOWagents/geo-content.md214### Step 10: Calculate Content ScoreCOMMENT
LOWskills/geo-crawlers/SKILL.md220### Step 1: Fetch and Parse robots.txtCOMMENT
LOWskills/geo-crawlers/SKILL.md231### Step 2: Check Meta Robots TagsCOMMENT
LOWskills/geo-crawlers/SKILL.md241### Step 3: Check HTTP HeadersCOMMENT
LOWskills/geo-crawlers/SKILL.md250### Step 4: Check for AI-Specific FilesCOMMENT
LOWskills/geo-crawlers/SKILL.md257### Step 5: Assess JavaScript Rendering RequirementsCOMMENT
LOWskills/geo-crawlers/SKILL.md268### Step 6: Parse Content SignalsCOMMENT
LOWskills/geo-update/SKILL.md20### Step 1: Determine Installed LocationCOMMENT
LOWskills/geo-update/SKILL.md35### Step 2: Clone Latest from UpstreamCOMMENT
LOWskills/geo-update/SKILL.md44### Step 3: Compare Installed vs LatestCOMMENT
LOWskills/geo-update/SKILL.md55### Step 4: Apply UpdatesCOMMENT
LOWskills/geo-update/SKILL.md97### Step 5: Update Python DependenciesCOMMENT
LOWskills/geo-update/SKILL.md107### Step 6: Clean UpCOMMENT
LOWskills/geo-update/SKILL.md113### Step 7: Report ResultsCOMMENT
LOWskills/geo-llmstxt/SKILL.md161### Step 1: Fetch the FileCOMMENT
LOWskills/geo-llmstxt/SKILL.md171### Step 2: Validate FormatCOMMENT
LOWskills/geo-llmstxt/SKILL.md189### Step 3: Assess Content QualityCOMMENT
LOWskills/geo-llmstxt/SKILL.md213### Step 4: Compare Against Site ContentCOMMENT
34 more matches not shown…
Decorative Section Separators19 hits · 60 pts
SeverityFileLineSnippetContext
MEDIUMinstall-win.sh4# ============================================================COMMENT
MEDIUMinstall-win.sh7# ============================================================COMMENT
MEDIUMuninstall.sh4# ============================================================COMMENT
MEDIUMuninstall.sh6# ============================================================COMMENT
MEDIUMinstall.sh4# ============================================================COMMENT
MEDIUMinstall.sh8# ============================================================COMMENT
MEDIUMtests/test_fetch_page_ssr.py36# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_fetch_page_ssr.py38# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_fetch_page_ssr.py149# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_fetch_page_ssr.py151# ---------------------------------------------------------------------------COMMENT
MEDIUMscripts/crm_dashboard.py37# ── Paths ─────────────────────────────────────────────────────────────COMMENT
MEDIUMscripts/crm_dashboard.py44# ── Color helpers ──────────────────────────────────────────────────────COMMENT
MEDIUMscripts/crm_dashboard.py82# ── Load CRM ───────────────────────────────────────────────────────────COMMENT
MEDIUMscripts/crm_dashboard.py91# ── Views ──────────────────────────────────────────────────────────────COMMENT
MEDIUMscripts/crm_dashboard.py296# ── Main ───────────────────────────────────────────────────────────────COMMENT
MEDIUMscripts/webapp/app.py29# ── Helpers ────────────────────────────────────────────────────────────COMMENT
MEDIUMscripts/webapp/app.py82# ── Template filters ────────────────────────────────────────────────────COMMENT
MEDIUMscripts/webapp/app.py102# ── Routes ─────────────────────────────────────────────────────────────COMMENT
MEDIUMscripts/webapp/app.py211# ── Run ─────────────────────────────────────────────────────────────────COMMENT
Hyper-Verbose Identifiers14 hits · 20 pts
SeverityFileLineSnippetContext
LOWtests/test_fetch_page_ssr.py156 def test_plain_html_has_ssr_content_true(self):CODE
LOWtests/test_fetch_page_ssr.py160 def test_plain_html_has_no_csr_error(self):CODE
LOWtests/test_fetch_page_ssr.py173 def test_wordpress_bricks_not_flagged(self):CODE
LOWtests/test_fetch_page_ssr.py179 def test_wordpress_bricks_no_csr_error(self):CODE
LOWtests/test_fetch_page_ssr.py186 def test_litespeed_cache_not_flagged(self):CODE
LOWtests/test_fetch_page_ssr.py192 def test_litespeed_cache_no_csr_error(self):CODE
LOWtests/test_fetch_page_ssr.py197 def test_prerender_service_not_flagged(self):CODE
LOWtests/test_fetch_page_ssr.py203 def test_prerender_service_no_csr_error(self):CODE
LOWtests/test_fetch_page_ssr.py215 def test_empty_app_div_flagged(self):CODE
LOWtests/test_fetch_page_ssr.py221 def test_empty_app_div_has_error(self):CODE
LOWtests/test_fetch_page_ssr.py226 def test_loading_root_div_flagged(self):CODE
LOWtests/test_fetch_page_ssr.py232 def test_loading_root_div_has_error(self):CODE
LOWtests/test_fetch_page_ssr.py241 def test_csr_error_includes_word_count(self):CODE
LOWtests/test_fetch_page_ssr.py256 def test_root_with_nested_scripts_and_rich_text_not_flagged(self):CODE
Excessive Try-Catch Wrapping12 hits · 12 pts
SeverityFileLineSnippetContext
LOWscripts/llmstxt_generator.py116 except Exception as e:CODE
LOWscripts/llmstxt_generator.py124 except Exception:CODE
LOWscripts/llmstxt_generator.py146 except Exception as e:CODE
LOWscripts/llmstxt_generator.py260 except Exception:CODE
LOWscripts/brand_scanner.py131 except Exception:CODE
LOWscripts/brand_scanner.py145 except Exception:CODE
LOWscripts/citability_scorer.py258 except Exception as e:CODE
LOWscripts/fetch_page.py195 except Exception as e:CODE
LOWscripts/fetch_page.py303 except Exception as e:CODE
LOWscripts/fetch_page.py329 except Exception as e:CODE
LOWscripts/fetch_page.py436 except Exception:CODE
LOWscripts/fetch_page.py452 except Exception:CODE
Unused Imports12 hits · 12 pts
SeverityFileLineSnippetContext
LOWscripts/brand_scanner.py18CODE
LOWscripts/brand_scanner.py23CODE
LOWscripts/crm_dashboard.py14CODE
LOWscripts/crm_dashboard.py26CODE
LOWscripts/crm_dashboard.py29CODE
LOWscripts/crm_dashboard.py29CODE
LOWscripts/crm_dashboard.py29CODE
LOWscripts/crm_dashboard.py30CODE
LOWscripts/crm_dashboard.py31CODE
LOWscripts/webapp/app.py15CODE
LOWscripts/webapp/app.py15CODE
LOWscripts/webapp/app.py15CODE
Deep Nesting8 hits · 8 pts
SeverityFileLineSnippetContext
LOWscripts/llmstxt_generator.py30CODE
LOWscripts/llmstxt_generator.py130CODE
LOWscripts/brand_scanner.py104CODE
LOWscripts/citability_scorer.py26CODE
LOWscripts/citability_scorer.py247CODE
LOWscripts/fetch_page.py36CODE
LOWscripts/fetch_page.py201CODE
LOWscripts/fetch_page.py398CODE
Fake / Example Data6 hits · 6 pts
SeverityFileLineSnippetContext
LOWtests/test_fetch_page_ssr.py52 <p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed doCODE
LOWtests/test_fetch_page_ssr.py52 <p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed doCODE
LOWagents/geo-schema.md366- Generated templates should use realistic placeholder patterns like `[REPLACE: Your company name]` rather than lorem ipCODE
LOWdocs/commands-reference.md515/geo proposal example.com --tier standard --client-name "Acme Corp"CODE
LOWscripts/brand_scanner.py269 print("Example: python brand_scanner.py 'Acme Corp' acmecorp.com")CODE
LOWskills/geo-schema/SKILL.md284 "streetAddress": "123 Main St",CODE
Modern AI Meta-Vocabulary2 hits · 4 pts
SeverityFileLineSnippetContext
MEDIUMREADME.md119│ ├── geo-audit/ # Full audit orchestration & scoringCODE
MEDIUMdocs/architecture.md10│ ├── geo-audit/ # Full audit orchestration & scoringCODE
Redundant / Tautological Comments2 hits · 3 pts
SeverityFileLineSnippetContext
LOWscripts/brand_scanner.py126 # Check if top result is about the brandCOMMENT
LOWscripts/citability_scorer.py55 # Check if answer appears early (first 60 words)COMMENT
AI Slop Vocabulary1 hit · 1 pts
SeverityFileLineSnippetContext
MEDIUMscripts/brand_scanner.py234 """Generate a comprehensive brand mention report."""STRING