From Zero to 956 Users in 30 Days with Generative Engine Optimization (GEO)

Case Study: Anqa Life

Client: Anqa Life
Industry: Crypto-indexed life insurance (Bitcoin & Ethereum IUL)
Engagement: 30 days

Fundamental Problem

AnqaLife had a differentiated product but no presence in AI search.

Specifically:

• Not cited when users asked ChatGPT or Perplexity about crypto life insurance
• No way to measure demand originating from AI systems
• Content not structured for AI extraction or citation
• Conversions occurring without clear attribution

Traditional SEO and GA4 could not explain growth or justify spend.

What Wrodium Implemented (Conversion Systems)

Wrodium deployed three AI-native systems designed to turn AI visibility into measurable pipeline.

1. GEO Content Architecture (Citation-Ready Pages)

We restructured Anqa's site around clear, extractable claims rather than keyword-driven content.

What we implemented

Pillar pages for:

• Life Insurance Indexed to Digital Assets
• Bitcoin IUL
• Ethereum IUL

Each page followed a consistent AI-readable structure:

• "What it is"
• "How it works"
• "Who it's for"
• "Why it's credible"

2. Visibility-to-Conversion Analytics (AI Attribution)

AI traffic rarely passes clean referrer data. We built attribution without relying on referrers.

What we implemented

• Continuous monitoring of citations across ChatGPT, Perplexity, Gemini and Claude
• Behavioral fingerprinting of AI-referred sessions:
  • Deep scroll depth
  • Copy events
  • FAQ interaction
  • Extended session duration
• Correlation between citation spikes and branded search growth
• Session scoring to identify "likely AI-referred" users

3. Clean Referral & Source Attribution (?ref= Tracking)

Most AI-driven sessions show up as "direct." We fixed attribution at the source.

What we implemented

• ?ref= parameters on all AI-originating links
• Direct mapping of ref parameters into GA4 source/medium
• Separation of AI traffic from organic, paid, and direct

Wrodium's Claim Monitoring and Optimization Engine

Beyond analytics, Wrodium continuously monitors and optimizes the claims on your pages to maximize citation likelihood.

The problem with static content

AI systems evaluate content differently than humans. A claim that reads well might not get cited because:

• It's too vague for AI to extract
• It contradicts other pages on your site
• Competitors have clearer, more specific claims
• The supporting evidence isn't structured properly

You need continuous monitoring to know what's working and what's not.

How Wrodium's claim optimization works

MONITOR: Automated claim extraction

Wrodium scans every page and extracts the key claims: what you're asserting, what evidence supports it, and how it's structured.

ANALYZE: Citation correlation

We track which claims get cited by AI systems and which don't. Over time, patterns emerge: certain claim structures, evidence types, and positioning consistently outperform.

OPTIMIZE: Recommendations pushed to CMS

When we identify underperforming claims or opportunities, recommendations appear directly in the Wrodium CMS. Your team can accept, modify, or reject with one click.

VERIFY: Post-change citation tracking

After changes go live, we monitor citation frequency to verify the optimization worked. If not, we iterate.

What this looked like for Anqa Life

Time to optimization: <24 hours from detection.

Example optimization

The second version is more specific, includes the product type (IUL), names the assets (Bitcoin, Ethereum), cites the regulatory framework (IRS guidelines), and includes social proof (Trustpilot rating). AI systems strongly prefer this level of specificity and third-party validation.

→ Why content freshness matters for AI

30-Day Results

Traffic

Engagement

Conversions

AI Visibility

Key Takeaways for Enterprises

AI visibility must be measured differently

Traditional analytics miss generative demand entirely.

Branded search is the strongest AI proxy metric

AI citations create downstream demand, not just clicks.

Claim clarity beats content volume

Specific, well-structured claims are what AI systems cite.

Attribution unlocks budget decisions

Once AI conversions are measurable, GEO becomes defensible.

GEO compounds faster than traditional SEO

Anqa went from zero visibility to measurable pipeline in 30 days, not quarters.

Summary

Anqa Life had a strong product but zero organic visibility. Traditional analytics couldn't measure AI search performance, and there was no way to track conversions from ChatGPT or Perplexity.

Wrodium deployed our GEO infrastructure: content optimization, the Wrodium CMS, visibility-to-conversion analytics with full referral tracking, and a review platform strategy using Trustpilot and G2 to build AI-credible social proof.

30 days later: 956 active users, 10K page views, 60 AI citations, and 14-38 qualified form submissions with full attribution across traditional and AI search channels.

→ Learn how GEO works: The GEO-16 Framework

Platform Integrations

Wrodium integrates with your existing CMS:

What We Offer

GEO Strategy & Implementation

Pillar architecture, claim optimization, citation-ready content

→ Product Overview

Wrodium CMS & Integrations

IndexNow, research agents, claim monitoring, ?ref= tracking built in

→ CMS Integration Docs

AI Search Analytics & Attribution

Visibility-to-conversion tracking with full referral attribution

Review Platform Strategy

Trustpilot + G2 optimization for AI credibility

→ Contact Us

Technical Documentation

Full API reference and integration guides

→ Browse Documentation

Related Resources

→ The GEO-16 Framework: What Makes AI Systems Cite Your Content → GEO vs SEO vs AEO: Where Wrodium Fits In → Mastering AI Search Conversion: Turning ChatGPT Visibility into Revenue → Content Freshness: What AI Search Engines Actually Reward → How Wrodium Improves Your AI Search Visibility → Unlock the Power of AI for Content Maintenance → ChatGPT Shopping Research: How AI is Changing Purchase Behavior