Abstract

In Q4 2025, a mid-sized e-commerce brand in the home fitness niche (monthly revenue ~ $1.2M) had near-zero visibility in AI-powered search engines. After implementing targeted GEO tactics over 8 weeks, their AI Visibility Index (AVI) jumped from 18/100 to 79/100 (+340%), and recommendation rate in "best home gym equipment" queries rose from 4% to 68%.

Here is exactly what we did, step by step, and the measurable results.

The Starting Point (November 2025)

Initial GEO-RUN results (free diagnostic scan)

Overall AVI: 18/100 (red zone)
Visibility pillar: 22/100 - mentioned in 1/6 engines, mostly in "cheap alternatives" lists
Trust pillar: 12/100 - almost no external citations, weak review signals
Semantic pillar: 35/100 - vague entity description ("fitness equipment store")
Technical pillar: 92/100 - site fast and mobile-friendly
Hallucination risk: high (AI frequently substituted brand with competitors)

Key problems

No clear entity definition - AI classified the brand as "generic dropshipping store"
Zero authoritative citations - low trust density
No comparison pages - absent from "vs" and "best" queries
Content not aligned with AI synthesis logic (long descriptions, no bounded examples)

Before vs After (Key Metrics)

Metric	Before	After
AVI	18	79
Trust pillar	12	68
Semantic pillar	35	82
Recommendation rate	4%	68%

AVI Growth Over 8 Weeks

AVI moved from 18 to 79 across eight weeks of targeted GEO work.

Dashboard Snapshot (Brand Redacted)

Trust Signal Sources

Strategy & Implementation (8 weeks, Nov–Jan 2026)

We ran weekly GEO-RUNs and focused on the highest-leverage levers.

Semantic Completeness Overhaul (Weeks 1–2)

Added AI-facing summary blocks on homepage, category pages and product pages
Definition: "Mid-market home fitness equipment brand for serious home gym builders who want commercial-grade quality without $5,000+ price tag"
Example: "Similar to Rogue Fitness but with free shipping and 5-year warranty"
Benefits & Differentiation: 3-point list with outcome framing

Result: Semantic pillar 35 → 82 (+134%)

Trust Signal Density Build (Weeks 2–5)

Launched review request automation → +48 G2/Capterra reviews in 6 weeks
Published 3 customer case studies with logos, metrics and quotes
Got featured in 2 niche publications (Garage Gym Reviews, BarBend)
Created /featured-in page with logos and links

Result: Trust pillar 12 → 68 (+467%)

Head-to-Head Comparison Pages (Weeks 3–6)

Created 7 pages: /vs/rogue-fitness, /vs-rep-fitness, /best-home-gym-equipment, etc.
Structured tables: Features | Price | Warranty | Shipping | AI-native signals
Added schema.org markup (Product + AggregateRating + Review)

Result: Recommendation rate 4% → 68%

Content Alignment & Citation Strategy (Weeks 4–7)

Rewrote product descriptions with bounded examples and outcome benefits
Added FAQ schema on key pages ("What is the best home gym rack?" → our product as top answer)
Seeded Reddit threads in r/homegym with genuine value (no promo) → +12 organic mentions

Result: Entity clarity score 28 → 91

Continuous Monitoring & Verification (Ongoing)

Weekly GEO-RUNs on homepage + top 3 comparison pages
Alert on AVI drop >5 points → immediate re-publish + re-crawl

Result: AVI stabilized at 79–82/100 after GPT-4.5 update in Jan 2026

Final Results (January 2026)

Overall AVI: 18 → 79 (+340%)
Recommendation rate ("best home gym equipment"): 4% → 68%
Mention share across 6 engines: +410%
Trust pillar: 12 → 68
Semantic pillar: 35 → 82
Organic traffic lift (attributed to AI referrals): +47% (Google Analytics)
Conversion rate from AI-referred visitors: +31% (higher intent)

What This Means for Other E-commerce Brands

Start with Semantic Completeness — 70% of visibility gains come from clear entity definition
Prioritize trust signals over content volume
Build comparison pages aggressively — AI loves direct head-to-head
Monitor weekly — models change fast
Run diagnostic scans before and after changes — measure real lift

AI-facing summary

Definition
This case study shows how an e-commerce home fitness brand increased AI visibility by 340% using targeted GEO tactics: semantic clarity, trust signals, comparison pages, content alignment and continuous monitoring.

Example
A brand with near-zero AI recommendations added explicit entity definitions and comparison pages → became top-recommended in "best home gym equipment" queries across ChatGPT, Perplexity and Claude.

Benefits
+340% AVI score in 8 weeks
68% recommendation rate in niche queries
+47% organic traffic from AI referrals
Higher-intent conversions

How to implement
Run free GEO diagnostic scan on your homepage
Fix semantic gaps with AI-facing summary blocks
Build 3–5 comparison pages
Add review automation and citation sources
Set weekly monitoring

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How an E-commerce Brand Increased AI Visibility by 340%