CASE STUDY 2-Yelena Pukhovitskaya

Q: What do I get in the baseline AEO audit?

A benchmark of where you appear in AI answer engines, an ARCHITECT™ scorecard, market intelligence (e.g., Census-based opportunity sizing), and a 90-day action roadmap.

Q: Can you show case studies with before/after metrics?

Yes. We publish case studies with dated screenshots from Perplexity, Copilot, Gemini/ChatGPT, plus structured data diffs and the 90-day plan used to achieve results.

Q: What’s included at each tier (DIY, DWY, DFY) and when do results start?

DIY includes roadmap/templates and monthly audits. DWY adds coaching and content scoring. DFY delivers full implementation and monitoring. Expect early signals in 2–6 weeks and meaningful gains over 2–4 months as entities and citations mature.

Q: What will my team need to do internally?

Provide approvals, access, and light dev support for schema/pages. We supply role checklists; in DFY we handle execution and you approve deliverables.

Q: How do you frame cost vs. expected return?

We model ROI from baseline to projected citation/SOV lift using your lead values and conversion paths, then tie it to implementation milestones.

Q: How do you support and adapt after launch?

Monthly Claude audits and quarterly framework updates, with ongoing monitoring across major AI engines and prompt/content adjustments.

Q: Do you offer transparency and guarantees?

We share scoring methodology, data sources, and shipped artifacts. Guarantees depend on scope and access; milestones are reviewed openly.

Q: Will this work for my industry?

Yes. Weighting and artifacts are customized for your vertical (e.g., healthcare compliance, pro services, local SMB).

How a Medical Device Distributor Recaptured AI Visibility from Its Own Dealers

Client: Almagia International | Industry: Medical Devices (PEMF Therapy)

Services: AEO Strategy, SEO Optimization, Content Marketing, AI Visibility

Timeline: Ongoing (Feb 2025 — Present)

Prepared by DW Conceptz, LLC | LumaPath.ai
Applying the ARCHITECT™ Framework
LIVING DOCUMENT — Last Updated March 20, 2026

Executive Summary

Almagia International is the only authorized U.S. distributor for ELAMED, a medical device manufacturer with 40+ years of experience producing pulsed electromagnetic field (PEMF) therapy devices and the Easyton transpalpebral tonometer. All devices are FDA-cleared for the U.S. market and manufactured to ISO 13485:2016 standards. Despite being the official source for these devices, Almagia was being outranked on Google by its own authorized dealers and was completely invisible in AI search engines.

DW Conceptz designed and executed a targeted AEO (Answer Engine Optimization) and SEO strategy using the proprietary ARCHITECT™ Framework. Within weeks of initial implementation, Almagia went from invisible to ranking #1 on Perplexity as a U.S. PEMF distributor, appearing in Google AI Overviews with full entity recognition, and surfacing across ChatGPT, Gemini, Grok, and Claude for product and condition-based queries.

Key Results at a Glance

Metric	Before (Jan 2025)	After (Mar 2026)
AEO Audit Score	46/90 (Grade C)	Improved — implementation in progress
Google AI Overview (brand search)	Not documented*	Full entity recognition with product lineup
Perplexity — U.S. PEMF distributor ranking	Not listed	#1 RANKED
ChatGPT — product-specific visibility	Not documented*	Appearing for condition + product queries
Google AI Mode — Easyton purchase query	Not documented*	#1 — Primary Distributor
Google AI Mode — PEMF for migraines	Not documented*	#2 Manufacturer-Direct (behind BEMER)
Gemini — entity recognition	Partial / inconsistent	Full entity with product details
Grok (X/Twitter) — entity recognition	Not tested	Correctly identifies company + location
Claude — AI visibility score (17 queries)	Not tested	21/57 (37%) — baseline established
Product pages with FAQ content	0 of 7	7 of 7
Dealer presence in AI results	Carbon Wellness, Skyward dominant	Absent from Perplexity distributor list

*Before-state assessments are based on the January 2025 ARCHITECT™ Framework audit findings, client-reported visibility observations, and competitive analysis conducted prior to implementation.

The Challenge

A Five-Year Visibility Crisis

On December 13, 2020, Almagia’s website experienced a catastrophic crash. In the years that followed, the company’s search visibility eroded while authorized dealers filled the gap. By January 2025, Almagia faced a compounding problem:

Lost Revenue: Every device sold through a dealer instead of direct cost Almagia approximately $150 in retail margin. eBay sales were even worse — an ALMAG+ retailing at $789 netted only ~$570 after platform fees.

Dealer Dominance: Carbon Wellness MD and Skyward Medical, both authorized Almagia dealers, consistently outranked almagia.com on Google for product and condition-based searches. These dealers used modern Shopify platforms, condition-based content, FAQ schema, and review widgets — all things Almagia’s older WordPress site lacked.

AI Invisibility: When potential customers asked ChatGPT, Perplexity, Gemini, or other AI platforms about PEMF devices or tonometers, Almagia did not appear. Dealers and competitors owned these conversations entirely.

Buried Trust Signals: Almagia’s most powerful differentiators — exclusive authorized distributor status, FDA-cleared devices, free personalized consultations, direct manufacturer relationship — were buried deep in website copy, invisible to both search engines and AI systems.

“For many years we was first... From December 2020, five years already, I have a problem. Before that, I do not have any problem.”

— Yelena Pukhovitskaya, Founder, Almagia International

“I sell on every month, I sell $15,000, $20,000... and then they start to crash my website.”

— Yelena Pukhovitskaya, describing pre-2020 revenue

The Discovery

ARCHITECT™ Framework Audit

DW Conceptz conducted a comprehensive AEO audit using the proprietary ARCHITECT™ Framework, evaluating Almagia across nine dimensions: Authority, Reach, Content, Hierarchy, Intent, Technical, Entity, Citation, and Topical.

Baseline Score: 46 out of 90 (Grade C)

The audit revealed seven specific competitive gaps explaining why dealers outranked the manufacturer:

Gap	Finding
Multi-Brand Strategy	Dealers sell 40-50+ PEMF brands, capturing comparison shopping traffic. Almagia only sells ELAMED products.
Condition Content	Dealers create content like ‘Best PEMF Mat for Lower Back Pain.’ Almagia had only product-focused content.
Platform Gap	Dealers use optimized Shopify; Almagia uses older WordPress/WooCommerce with slower page speeds.
Review Strategy	Dealers display hundreds of verified reviews. Almagia showed ‘Reviews (0)’ on every product page.
Schema Markup	Dealers had FAQ, Product, and Review schema creating rich snippets. Almagia had none.
Trust Signals	Almagia’s biggest advantages (exclusive distributor, FDA clearance, free consultations) were buried in copy.
Content Structure	250+ articles and clinical studies existed but lacked FAQ schema, internal linking, and condition-based framing for AI discoverability.

The Critical Insight:➡️ Almagia didn’t need more content. They had 186 blog articles, 64 clinical test summaries, and detailed product pages. The problem was that this content lacked the structure that both search engines and AI platforms require — FAQ formatting that mirrors how users query AI assistants, entity-consistent messaging that helps LLMs build accurate knowledge, and schema markup that enables Google rich snippets. Fixing the structure unlocked both channels simultaneously.

The Strategy

Three-Phase SEO Recapture

DW Conceptz designed a three-phase SEO Recapture strategy that addressed both traditional Google search and AI discoverability:

Phase 1: Tonometer Pilot

Start with the Easyton tonometer as a proof-of-concept. Create FAQ content and schema markup for the product page, develop an evidence-based comparison article vs. competitor Diaton, and enhance trust signal visibility.

Phase 2: Full Product Rollout

Expand FAQ content and schema to all seven product pages, optimize title tags and meta descriptions, create a ‘Why Buy Direct from Almagia’ landing page, and add condition-specific FAQs to the top 10 clinical articles.

Phase 3: Competitive Content

Develop a comprehensive PEMF buyer’s guide to capture comparison searches, and initiate dealer backlink outreach to Carbon Wellness and Skyward Medical.

The scope was later expanded — at no additional cost — to include optimizing Almagia’s existing clinical article library with condition-specific FAQs and schema markup, increasing the total FAQ count from 70+ to over 120.

The Execution

20+ Deliverables Across Content, Technical SEO, and AI Strategy

Deliverable	Description	Status
AEO Audit (ARCHITECT™ Framework)	Full 90-point audit identifying 7 competitive gaps	Complete
Competitor Analysis	Deep analysis: Carbon Wellness, Skyward Medical, Diaton	Complete
SEO Recapture Proposal	3-phase project with payment plan options	Complete
FAQ Content — All 7 Product Pages	SEO-optimized FAQs added to every product	Complete
Schema Markup — Product Pages	Structured data for AI discovery	Complete
Easyton vs Diaton Comparison Article (V2)	3,500+ word article with 11 peer-reviewed citations, pricing table, feature comparison	Complete
Clinical Fact-Check Report	Every claim verified against source literature; 7 corrections made	Complete
LinkedIn Content Package	Article, 6 caption variations, image prompts, carousel, posting strategy	Complete
Infographic Visuals (2)	Clinical agreement + usability comparison HTML infographics	Complete
Website & SEO Readiness Audit	Full current-state audit with 8-step implementation roadmap	Complete
AI Visibility Testing Framework	48 queries across 5 AI platforms + Google, with scoring rubric	Complete
Claude Baseline Test	17 queries tested and scored: 37% visibility	Complete
Google Business Profile Setup	Access secured, product listings in progress	In Progress
Condition-Based Article Series (5)	Migraine, dementia, autism, eye pressure, depression	In Progress
“Why Buy Direct” Landing Page	Trust-signal page differentiating Almagia from dealers	Planned
PEMF Buyer’s Guide	Comprehensive guide targeting comparison searches	Planned

Content Highlight: Evidence-Based Competitor Analysis

The Easyton vs Diaton Tonometer comparison article exemplifies DW Conceptz’s approach to medical device content marketing. Rather than relying on marketing claims or anecdotal testimonials, the 3,500+ word article was built entirely on peer-reviewed clinical evidence:

11 peer-reviewed references from journals including International Ophthalmology, Ophthalmology Glaucoma, Journal of Glaucoma, and Clinical & Experimental Ophthalmology
Every claim independently fact-checked against source literature, with 7 critical corrections made during the verification process
Balanced presentation — both devices’ limitations acknowledged, including Easyton’s published caveat about glaucoma follow-up
Pricing comparison table with verified prices from multiple sources
Practitioner experience insights sourced from peer-reviewed literature and professional forums, not direct user quotes

The Results

From Invisible to #1 Across AI Platforms

The impact of the ARCHITECT™ Framework implementation was demonstrated live during a client call on March 2, 2026. Daisy Watkins ran incognito searches across five AI platforms with the client, Yelena Pukhovitskaya, watching in real-time:

Perplexity: #1 U.S. PEMF Distributor

When asked for a list of direct PEMF product distributors in the U.S., Perplexity ranked Almagia International #1 — above Da Vinci Medical, PEMF Supply, and RehabMart. Perplexity also identified ELAMED as the international manufacturer with Almagia as its named U.S. representative. Notably, the dealers that had been outranking Almagia on Google (Carbon Wellness, Skyward Medical) were completely absent from Perplexity’s distributor list.

Google AI Mode: #1 Primary Distributor for Easyton

When asked where to purchase Easyton tonometers in the U.S., Google AI Mode listed Almagia International first under ‘Authorized Distributors and Retailers,’ with the correct price ($3,200), free shipping details, and primary distributor designation.

Google AI Mode: #2 Manufacturer-Direct Distributor for Migraine Devices

When asked for recommended official PEMF distributors for migraines, Google AI Mode listed Almagia as #2 under ‘Manufacturer-Direct Distributors’ — behind only BEMER USA, a global PEMF corporation. Google AI also cited Almagia’s own article ‘Top PEMF Devices in the USA’ as a source in the results sidebar. This is a condition-based query where Almagia had no visibility prior to the optimization work.

Google AI Overview: Full Entity Recognition

A brand search triggered a comprehensive AI Overview identifying Almagia as “the authorized U.S. distributor for ELAMED medical devices” with the complete product lineup, founding year, and condition applications. Almagia.com held the #1 and #2 organic positions below the AI Overview.

Gemini, Claude, Grok: Consistent Entity Recognition

Across all tested platforms, Almagia was correctly identified as the authorized ELAMED distributor with accurate product information, founding story, Brooklyn NY location, and full product catalog. Claude provided the most detailed response, including Almagia’s selection for ten consecutive Best of Brooklyn Awards.

“My company on the top! How cool is that!”

— Yelena Pukhovitskaya, seeing Almagia rank #1 live during the demo

“For all this year, you’re the only one who’s doing this. You’re the only one.”

— Yelena Pukhovitskaya, on the DW Conceptz team

What’s Next: Ongoing Optimization

The results achieved to date represent the foundation phase. The following work is in progress or planned to deepen AI visibility and capture condition-based search traffic:

Condition-Based Article Series: Five educational articles in development — migraines, dementia, autism, eye pressure, depression/panic attacks — each with mini-FAQs, clinical study links, and product CTAs.
LinkedIn Thought Leadership: Article series positioning Yelena as a PEMF therapy authority, with clinical evidence and patient education content.
Google Business Profile Optimization: Product listings, review enablement, and clinical content posts.
Russian Clinical Trial Translation: Translating and publishing ELAMED clinical studies to expand the site’s evidence base.
“Why Buy Direct” Landing Page: Dedicated page differentiating the authorized distributor experience from dealer and marketplace purchases.
Post-Implementation AI Visibility Re-Test: Full re-run of 48 search queries across all platforms to measure improvement against the established baseline.

Predicted visibility improvement: from 37% baseline to 55%+ within 90 days of full implementation, based on the demonstrated impact of structured content and entity optimization on AI platform rankings.

Key Takeaways

1. Structure Beats Volume

Almagia had 250+ articles and clinical studies. The problem was never content volume — it was content structure. Structured FAQ content, entity-consistent messaging, and schema markup created a dual-channel effect: rich snippets in Google search results AND improved entity recognition across AI platforms that consume page content differently than traditional crawlers.

2. AI Visibility Requires Different Signals Than Google SEO

Traditional SEO focuses on keywords and backlinks. AI platforms like ChatGPT, Perplexity, and Gemini prioritize entity recognition, structured data, and authoritative sourcing. The ARCHITECT™ Framework addresses both simultaneously.

3. Authorized Distributors Have an Unfair Advantage — If They Use It

Being the official source for a product line is the ultimate trust signal. But if that status isn’t visible in structured data, AI systems can’t distinguish the manufacturer from a reseller. Making authority machine-readable is essential.

4. Healthcare Content Demands Clinical Rigor

In the medical device space, content credibility is non-negotiable. Every claim in this project was sourced from peer-reviewed clinical literature, with independent fact-checking. This approach builds the kind of authority that AI systems increasingly reward.

Methodology

AI visibility was assessed by running standardized queries in incognito/private browsing mode across five platforms (ChatGPT, Perplexity, Gemini, Claude, Grok) and Google Search. Each query was scored on a 0–3 scale measuring whether the client was mentioned, recommended, or positioned as the primary source. The 48-query testing framework covers brand searches, product queries, condition-based queries, and competitive positioning queries.

Limitations

This case study documents results from the foundation phase of an ongoing engagement. AI platform rankings can fluctuate based on model updates, query phrasing, and competitive content changes. Revenue attribution is based on early indicators rather than controlled measurement. A formal 90-day post-implementation assessment with controlled before/after sales data is planned. Results described herein represent outcomes achieved for this specific client and are not guaranteed for other engagements.

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Frequently Asked Questions

Evidence-based answers aligned to our ARCHITECT™ methodology, monthly Claude audits, and tiered delivery model.

What do I get in the baseline AEO audit?

Your baseline audit shows where you currently appear (or don’t) in AI answer engines, what entities and schemas are missing, and your ARCHITECT™ element scores. It includes an executive dashboard, a 90-day action plan, and market intelligence derived from real data sources (e.g., US Census) for opportunity sizing and ROI modeling.

Can you show case studies with before/after metrics?

Yes. We maintain public case studies that document visibility gains (first mentions, citation frequency, share-of-voice in AI blocks) and pipeline outcomes (MQLs/SQLs). Each study includes dated, third-party proof tiles (Perplexity, Copilot, Gemini/ChatGPT), structured data diffs, and the 90-day roadmap used.

What’s included at each tier (DIY, DWY, DFY) and when do results start?

DIY gives you the strategy roadmap, templates, checklists, and a monthly audit summary. DWY adds coaching, content scoring, and milestone checklists. DFY is full implementation with dashboards and ongoing monitoring. We typically see early signals within 2–6 weeks (first mentions/snippets) and more meaningful gains over 2–4 months as structured content, entities, and citations mature. Long-term authority compounds over 6–12 months.

What will my team need to do internally?

Plan for content sign-offs, light dev support for schema and page modules, and a point person for reviews/citations. In DFY, our team carries the execution; your role is approvals and access. We provide role checklists for strategist, content lead, technical implementer, data analyst, and VA support so nothing stalls.

How do you frame cost vs. expected return?

Every plan includes ROI modeling tied to your TAM, lead value, and conversion assumptions. We quantify revenue at risk from weak AI visibility, then project uplift scenarios once citations and answer-block presence stabilize. You’ll see conservative/realistic ranges and the levers that move results.

How do you support and adapt after launch?

We run monthly Claude audits for content scoring and recommendations, track platform shifts across ChatGPT/Claude/Perplexity/Gemini, and update frameworks quarterly. DFY clients get recurring reporting, prompt pack updates, and roadmap adjustments based on measured SOV/citation trends.

Do you offer transparency and guarantees?

We publish our scoring logic (how each ARCHITECT™ element is calculated and weighted), document data sources, and show the exact artifacts shipped (schemas, entities, case study JSON-LD, prompts). Performance guarantees depend on scope and data access; we set milestones and review them openly.

Will this work for my industry?

Yes—our framework is industry-aware. We tailor weighting and artifacts for professional services, healthcare/HIPAA-sensitized categories, and local SMBs. Your entity map, schema set, and Q&A clusters reflect your vertical’s language and buyer questions.

Want to boost your AI visibility?

CASE STUDY 2-Yelena Pukhovitskaya