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Patent-Pending Architecture

Built Different.
Engineered to Win.

Six interconnected systems — each patent-protected — working together to make your business the answer AI search engines give. Here's exactly how it works under the hood.

System Architecture

Under the Hood

A full-stack AI optimization platform built from the ground up — not a wrapper on someone else's API.

48

Route Modules

61

Database Tables

21

Automated Cron Jobs

6

AI Engines Monitored

5

Entity Platforms

67

Patent Claims

System 1

AI Readiness
Scoring Engine

Every website gets a 0–100 AI Readiness Score based on deep page-by-page analysis across six weighted categories. Not surface-level checks — we crawl up to 100 pages per scan and evaluate every element that affects whether AI engines will cite your business.

📊

6 Weighted Categories

Schema (22%), Meta (18%), Content (18%), AI Readiness (18%), Technical (14%), Security (10%). Each with sub-scores and specific issue identification.

🔍

Deep Page Analysis

Crawls up to 100 pages per scan. Evaluates heading structure, image alt text, internal linking, structured data, meta completeness, and more.

📈

Actionable Issue Reports

Every deduction comes with a specific fix recommendation. Not vague advice — exact changes, character counts, and implementation code.

Full site scan completes in under 60 seconds. Results stored historically for trend tracking.
🎯
AI Readiness Score
80
acmeplumbing.com

Scanned 47 pages
Last scan: 2 min ago

Schema 22%
88
Meta 18%
72
Content 18%
85
AI Readiness 18%
68
Technical 14%
91
Security 10%
82
System 2

Auto-Fix Engine:
Closed-Loop Architecture

The industry's only patent-pending closed-loop optimization system. AI generates specific fixes for every issue found, deploys them directly to your website, then the same scoring kernel re-scans to verify the fix actually worked. No other platform does this.

🧠

AI-Generated Fixes

Not generic suggestions — precise code: meta descriptions (120-160 chars), title tags (50-60 chars), JSON-LD schema, heading restructuring, image alt text.

🚀

4 Deployment Methods

WordPress REST API (Yoast/RankMath/AIOSEO compatible), Shopify API, JavaScript snippet injection, or Cloudflare Worker. Full revert capability on every deployment.

✅

Closed-Loop Verification

After deployment, the same kernel that found the issue re-scans to confirm the fix resolved it. If the score didn't improve, the system flags it for review.

Patent Pending (U.S. Provisional App. No. 64/063,349) — the only closed-loop auto-fix in the market.
⚙️
Auto-Fix Pipeline
🔍
Scan & Identify

47 pages crawled — 12 issues found across meta, schema, and content categories

🧠
Generate Fixes

AI writes precise replacement code for each issue: new meta tags, JSON-LD, alt text

🚀
Deploy to Site

Pushes fixes via WordPress REST API — Yoast SEO detected, compatible mode active

✅
Verify Results

Re-scan confirms score improved from 64 to 82 — all 12 issues resolved

WordPress REST Shopify API JS Snippet Cloudflare Worker
System 3

Strategy Engine:
Thompson Sampling

Most SEO tools use static rules. ClickRadius uses a patent-pending Thompson Sampling (Beta-Binomial) model that adaptively learns which optimizations produce the best outcomes for each individual site. It's a multi-armed bandit — not A/B testing — that converges faster with less wasted traffic.

🎰

Multi-Armed Bandit

Each optimization strategy is an "arm." The system samples from Beta distributions to decide which strategy to try next, automatically shifting budget toward winners.

📐

Welch's t-test Significance

Statistical rigor built in. Every outcome is measured with Welch's t-test to determine if improvements are statistically significant — not noise.

🔄

Continuous Learning

The engine updates its beliefs after every outcome. Over time, it converges on the optimal mix of strategies for your specific industry and competitive landscape.

Converges 3-5x faster than traditional A/B testing with less wasted optimization budget.
🎰
Thompson Sampling Engine
θ ~ Beta(α + wins, β + losses)

Each arm samples from its posterior Beta distribution to select the next strategy

Schema Fix
78%
Meta Rewrite
65%
Alt Text
42%
Internal Links
31%
Heading Fix
22%
System 4

Entity Orchestrator

AI engines don't just read your website — they triangulate your identity across the entire web. The Entity Orchestrator builds and maintains your business presence across five key platforms that AI models use as authoritative sources, ensuring consistent entity signals everywhere AI looks.

🌍

5-Platform Presence

Wikidata, Google Business Profile, Apple Maps, Data Axle, and Yelp. Each platform configured and verified for maximum entity signal strength.

🔗

Cross-Platform Coherence

NAP consistency, service descriptions, and entity attributes verified across all platforms. Discrepancies flagged and auto-corrected.

✅

Automated Verification

Ongoing monitoring ensures your entity data stays consistent. When platforms change formats or require updates, the system detects and responds.

Entity coherence is the #1 signal AI engines use to decide whether to recommend a business.
🌍
Entity Orchestrator
📖
Wikidata

Structured entity + claims

Synced
📍
Google Business Profile

NAP, hours, categories

Synced
🍎
Apple Maps

Business listing + photos

Synced
💾
Data Axle

Business data aggregator

Synced
⭐
Yelp

Reviews + business info

Verifying
Cross-Platform Coherence
94%
System 5

Citation Monitor:
6-Engine Intelligence

Track exactly when and how AI search engines mention your business. Per-engine SDK integrations query ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok with your target queries, then classify sentiment, extract URL citations, and measure confidence — giving you the only real-time view of your AI visibility.

🤖

Per-Engine SDK Integrations

Native API connections to each AI engine. No screen scraping — direct, reliable query-response monitoring on a weekly cadence.

📊

Citation Frequency Tracking

Track how often each engine cites your business over time. Spot trends, correlate with optimization efforts, and measure ROI of every change.

🔎

Competitive Citation Analysis

See which competitors AI engines recommend instead of you. Identify gaps in your entity presence and content that competitors have filled.

The only platform monitoring all 6 major AI engines with native SDK integrations.
🔎
Citation Monitor
ChatGPT
Cited
14
citations
Gemini
Cited
11
citations
Perplexity
Cited
18
citations
Claude
Tracking
7
citations
Copilot
Cited
9
citations
Grok
Tracking
3
citations
System 6

GEO Content Engine

Generate blog posts engineered for Generative Engine Optimization (GEO). Every article is built with the three signals Princeton research identified as driving AI citations: quotations, statistics, and source citations. Multi-model fact-checking ensures accuracy before auto-publishing to WordPress.

✍️

GEO-Optimized Articles

8 articles/month (Professional), 15 articles/month (Premium). Each optimized with embedded quotations, statistics, and authoritative source citations.

✅

Multi-Model Fact-Checking

Every article cross-verified across multiple AI models before publishing. GEO Score calculated and verified against threshold compliance.

📰

Auto-Publish + Schema

Articles publish directly to WordPress with Article and FAQPage schema embedded. IndexNow notification triggers immediate search engine awareness.

Based on Princeton GEO research: quotations, statistics, and citations increase AI visibility by 30-40%.
✍️
GEO Content Engine
How to Choose a Plumber in Austin: A Data-Driven Guide
GEO-Optimized Fact-Checked Published

"According to the Bureau of Labor Statistics, licensed plumbers in Texas earn a median wage of $28.34/hr, reflecting the technical expertise required..." — with 6 source citations embedded.

GEO Score 87/100
✓ 4 quotations from authoritative sources
✓ 8 statistics with citations
✓ 6 source URLs embedded
✓ Article + FAQPage schema
✓ IndexNow ping sent

See Your AI Readiness Score

Takes less than 60 seconds. Get your 0–100 score across all six categories and see exactly where AI engines can't find you.

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