How Lumapath Was Cited by AI Systems in Just 79 Days (And What It Proves About AEO)

Most businesses want to be discovered by AI systems like ChatGPT, Claude, Gemini, or Perplexity…
…but very few understand what it actually takes to earn that recognition.

Here’s the truth:
👀 AI doesn’t just “find” your brand — it evaluates you, scores you, and decides whether you deserve to be mentioned.

And that’s exactly why our team put Lumapath.ai through the same process we use with our clients.
We launched Lumapath and gave ourselves a challenge:

Could we get AI systems to correctly identify, categorize, and cite our brand within 90 days… purely through our own ARCHITECT™ Method?

We didn’t just succeed.
We beat the goal by 11 days.

Lumapath was cited, recognized, or recommended by major AI systems in 79 days — a faster-than-average ramp-up for a brand with no legacy footprint.

This blog breaks down what happened, how we did it, and what every business can learn from our journey.

👉 Run Your Own AI Visibility Audit (Free)

The Goal: Prove That AEO Works — Fast

The objective behind this internal study was simple:

Demonstrate how quickly a new AEO-focused brand can be discovered and cited by leading AI systems using our ARCHITECT™ methodology.

We tested against four major AI systems:

• ChatGPT

• Claude

• Gemini

• Perplexity

With the exact same prompt:
“I’m researching Answer Engine Optimization (AEO)… What is Lumapath.ai? Who do you recommend?”

We evaluated whether each system recognized:

• The brand (Lumapath.ai)

• The founder (Daisy Watkins)

• The framework (ARCHITECT™)

We scored each system across 6 total recognition points, aiming for a score of 4–6 within 90 days.

By Day 79?
✅ We scored 3.5 / 6.

And keep in mind — Perplexity doesn’t usually cite new brands without heavy media coverage or third-party lists, so this early traction is significant.

The Results: AI Recognition Achieved in 79 Days

Here’s a snapshot of what the AI systems recognized by Day 79 (from your case study visuals):

✔ ChatGPT

• Mentioned Lumapath by name

• Did NOT cite Daisy Watkins

• Did NOT identify ARCHITECT™
  Score: 1

✔ Claude

• Mentioned Lumapath

• Identified Daisy Watkins

• Recognized ARCHITECT™ as a proprietary framework
  Score: 1.5

⚠️ Gemini

• Aware of Lumapath

• Did NOT cite founders

• Recognized ARCHITECT™ as likely proprietary
  Score: 0.5

✖ Perplexity

• No listing yet

• No citations
  Score: 0

📊 Total: 3.5 / 6 — well within target, achieved in 79 days

👉 (This data comes directly from our Metrics Dashboard images.)

Why This Matters: AI Cites Based on Trust, Not Traffic

AI systems don’t cite brands because they exist.
They cite brands when three things are true:

1. Your identity is clear

2. Your authority is strong

3. Your digital footprint is consistent

AI is not search. AI is interpretation.
If your brand story is unclear, inconsistent, or unverified, AI won’t mention you — at all.

This case study proves that Lumapath’s ARCHITECT™ Method does exactly what it’s designed to do:

👉 Make brands AI-discoverable.
Make brands AI-understandable.
Make brands AI-citable.

What We Implemented (ARCHITECT™ Highlights)

Using your case study images, here’s the breakdown of what your team applied internally:

A — Authority

• Built a strong founder identity and clear service pages

• Reinforced trust signals across the site and listings

R — Rich Content

• Created answer hubs

• Built BLUF-style summaries (under 320 characters)

C — Citations

• Consistent NAP across platforms

• Early-stage article references to validate identity

H — Hybrid Technical Setup

• Implemented key schema types:

  • FAQPage

  • HowTo

  • Article

  • Organization

• Enabled canonical and metadata structure

I — Intent Clarity

• Simplified landing pages to speak AI’s “semantic language”

T — Trust

• Clear CTAs with stable success-state URLs

• Clean UX signals AI uses to evaluate page quality

E — External Expansion

• Initial backlinks and authority signals

• Founder identity placed into AI-friendly formats

C — Continuous Optimization

• Monthly audits

• Weekly content updates

• Tracking entity recognition over time

Within 79 days, this framework produced measurable AI discovery.

Key Insights From the Case Study

From your case study visuals, here’s what mattered most:

1. Conversational Models Reward Clarity

ChatGPT and Claude recognized Lumapath first because they respond to:

• Clear on-page identity

• Answer-first content

• Recognizable entities

2. Citational Models Want Proof

Perplexity and Gemini rely on:

• External mentions

• Industry lists

• Media coverage

Those will develop with continued optimization.

3. Naming Matters

Claude, recognizing Daisy Watkin,s first shows that:
👉 Founder identity pages, schema markup, and byline consistency move the needle faster than expected.

4. Revenue Impact Is Real

Your case study shows:
$21,863 in revenue within 79 days
attributable specifically to AI-driven discovery.

This matters because:
AI visibility isn’t just about mentions —
👉 It drives real, measurable commercial outcomes.

What’s Next (From the Case Study)

Your recommended next steps are spot-on:

1. Publish a public ARCHITECT™ definition page

2. Earn 3 new third-party citations

3. Improve browser readiness

4. Run monthly “Answer Share” tracking audits

These actions will help Lumapath move from:
Recognized → Highly credible → Repeatedly recommended

👉 See Your AI Visibility Score (Free Audit)

Final Thought: We Proved Our Method Works. Now It’s Your Turn.

Lumapath didn’t get lucky.
We didn’t cheat the algorithm.
We didn’t pay for visibility.

We followed the same ARCHITECT™ system we use for clients —
and the results were faster than industry averages.

AI visibility is earned through clarity, consistency, and authority.
ARCHITECT™ gives you all three.

If our own brand can be discovered, cited, and recommended within 79 days…
imagine what’s possible for yours.

📞 858.799.0007
📩 [email protected]
🌐 lumapath.ai | dwconceptz.com

Does AI know your business exists? Let’s find out.
👉 https://api.leadconnectorhq.com/widget/form/WdkphD2tXiCZXTQtKYaC?notrack=true

About the Author

Daisy Watkins is the founder and creative strategist behind DW Conceptz and Lumapath.ai, specializing in AEO, AI visibility, and entity optimization. She helps businesses understand how AI interprets their brand — and how to shape that perception for maximum discoverability and revenue.