Anqa - From zero to 956 users in 30 days with Generative Engine Optimization (GEO)

Anqa - From zero to 956 users in 30 days with Generative Engine Optimization (GEO)

Anqa - From zero to 956 users in 30 days with Generative Engine Optimization (GEO)

Anqa - From zero to 956 users in 30 days with Generative Engine Optimization (GEO)

Anqa - From zero to 956 users in 30 days with Generative Engine Optimization (GEO)

Arlen Kumar Profile Picture
Leanid Palhouski Profile Picture

Arlen Kumar

Leanid Palhouski

Jan 29, 2026

Case Study: Anqa Life

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

Results:

  • 956 active users

  • 60 AI citations (ChatGPT + Perplexity + Claude + Gemini)

  • 30+ qualified form submissions

  • +340% branded search lift

  • 2m 23s average engagement time

  • 17 leads purely from AI Search

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"

Why this converts
AI systems prefer precise definitions and scoped claims. Users arriving from AI are already researching and leading to longer sessions + higher-intent behavior.

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

Outcome in <30 days:

  • 420–700 estimated AI-driven sessions

  • 16 AI-attributed leads

  • 42% lower cost per lead vs paid search

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

Result:

  • 433 sessions accurately attributed

  • 17% of traffic reclassified from “direct/unknown”

  • Clear conversion rates by AI source (ChatGPT vs Perplexity)


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:

  • Claims monitored: 47

  • Claims optimized: 23

  • Citation rate improvement: +180% on optimized claims

  • Time to optimization: <24 hours from detection

Example optimization:

BEFORE: "We offer tax-efficient crypto insurance products."

AFTER: "Anqa Life provides Indexed Universal Life (IUL) insurance policies linked to Bitcoin and Ethereum performance, enabling tax-deferred growth and tax-free policy loans under current IRS guidelines. Rated 4.8/5 on Trustpilot."

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: wrodium.com/blogs/wrodium-on-content-freshness-what-ai-search-engines-actually-reward

30-Day Results

Traffic:
- 956
active users
- 10,000 page views

Engagement:
- 2m 23s
average engagement time
- 2,336 copy events
- 360 FAQ interactions

Conversions:
- 14–38
form submissions
- 10–17 attributed to AI search visibility

AI Visibility
- 60
total citations
- ChatGPT: 35
- Perplexity: 25
- +340% branded search lift

Key Takeaways for Enterprises

  1. AI visibility must be measured differently
    Traditional analytics miss generative demand entirely.

  2. Branded search is the strongest AI proxy metric
    AI citations create downstream demand, not just clicks.

  3. Claim clarity beats content volume
    Specific, well-structured claims are what AI systems cite.

  4. Attribution unlocks budget decisions
    Once AI conversions are measurable, GEO becomes defensible.

  5. 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: wrodium.com/blogs/geo-16-framework

-> More insights: wrodium.com/insights

PLATFORM INTEGRATIONS

Wrodium integrates with your existing CMS:

WHAT WE OFFER

GEO Strategy & Implementation

Pillar architecture, claim optimization, citation-ready content

-> wrodium.com/product-explainer

Wrodium CMS & Integrations

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

-> wrodium.com/docs/cms-integration

AI Search Analytics & Attribution

Visibility-to-conversion tracking with full referral attribution

-> wrodium.com/research

Review Platform Strategy

Trustpilot + G2 optimization for AI credibility

-> wrodium.com/contact

Technical Documentation

Full API reference and integration guides

-> wrodium.com/docs

BOOK A STRATEGY CALL

See how Wrodium can build your AI search presence, implement ?ref= tracking, and prove ROI with visibility-to-conversion analytics.

-> wrodium.com/contact

RELATED RESOURCES

-> The GEO-16 Framework: What Makes AI Systems Cite Your Content

wrodium.com/blogs/geo-16-framework

-> GEO vs SEO vs AEO: Where Wrodium Fits In

wrodium.com/blogs/what-s-the-difference-between-geo-seo-and-aeo-and-where-wrodium-fits-in

-> Mastering AI Search Conversion: Turning ChatGPT Visibility into Revenue

wrodium.com/blogs/mastering-ai-search-conversion-turning-chatgpt-visibility-into-real-revenue

-> Content Freshness: What AI Search Engines Actually Reward

wrodium.com/blogs/wrodium-on-content-freshness-what-ai-search-engines-actually-reward

-> How Wrodium Improves Your AI Search Visibility

wrodium.com/blogs/how-wrodium-improves-your-ai-search-visibility

-> Unlock the Power of AI for Content Maintenance

wrodium.com/blogs/unlock-the-power-of-ai-for-content-maintenance

-> ChatGPT Shopping Research: How AI is Changing Purchase Behavior

wrodium.com/blogs/chatgpt-shopping-research

-> Weekly AI Search Signals for GEO, AEO, and AI-Native CMS

wrodium.com/blogs/weekly-ai-search-signals-for-geo-aeo-and-ai-native-cms

STAY UPDATED

Subscribe to Wrodium's newsletter for weekly AI search insights:

-> wrodium.com/newsletter

Browse all content:

-> wrodium.com/blogs

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