Case Study: Lumapath.ai AI Visibility Results
How Lumapath.ai Achieved AI Visibility Across 4 Major Platforms in 79 Days
A Self Case Study in Answer Engine Optimization (AEO)
79
Days to Visibility
4/5
Platforms Recognize Us
$11k
Revenue Generated
9
ARCHITECT™ Elements
Testing conducted: October 4,2025 | Incognito / Private browsing mode
The Challenge
In early 2025, Lumapath.ai faced a common problem: invisibility in the AI-first search landscape. With 67% of searches shifting to AI assistants like ChatGPT, Claude, and Perplexity, traditional SEO was no longer enough.
We needed to ensure that when potential clients asked AI systems for marketing help, our name would appear.
- New domain (registered January 2024)
- No existing AI visibility or citations
- Competing against well-established agencies
- Limited marketing budget
The Solution: ARCHITECT™ Framework
We applied our proprietary ARCHITECT™ Framework — a 9-element strategy designed for Answer Engine Optimization. Unlike traditional SEO, this framework focuses on how AI systems understand and cite content.
| Element | Definition | How We Applied It |
|---|---|---|
| A – Authority | Industry credentials | Founder’s 20+ years experience, $10M CEO background, media features |
| R – Reach | Content distribution | LinkedIn, publications, multi-platform strategy |
| C – Content | Answer-first structure | Educational, intent-mapped content |
| H – Hierarchy | Semantic clarity | Headings, topic clusters |
| I – Intent | High-value queries | Focused on buyer-related AI questions |
| T – Technical | Structured data | Schema markup, JSON-LD, Org/Person tags |
| E – Entity | Knowledge connections | Linked Lumapath.ai → DW Conceptz → Daisy Watkins |
| C – Citation | Verifiability | Factual content with sourcing |
| T – Topical | Niche dominance | AEO hub, guides, newsletters |
Platform-by-Platform Results
Tested December 4, 2025 (Incognito Mode): “What is Lumapath.ai?”
| Platform | Status | What AI Said |
|---|---|---|
| Google AI Overview | ✓ VISIBLE | Detailed our services, AEO expertise, and framework |
| ChatGPT | ✓ VISIBLE | Recognized AEO, mentioned service tiers |
| Perplexity | ✓ VISIBLE | Included logo and founder |
| Google Organic | ✓ VISIBLE | Indexed multiple pages incl. case studies |
| Gemini | ✗ Not Yet | Brand confusion with Luma Health/AI |
Key Wins
- AI recognized Lumapath.ai → DW Conceptz → Daisy Watkins
- All 9 ARCHITECT™ elements cited
- Service tiers (DIY/DWY/DFY) described accurately
- Healthcare specialization mentioned
- Founder photo and logo displayed
Timeline to Visibility (79 Days)
- Days 1–20: Schema setup, entity linking
- Days 21–45: Content publishing, LinkedIn presence
- Days 46–65: Media, podcasts, presentations
- Days 66–79: Testing and validation
What This Means for You
- AEO Works: Real results within 90 days
- Agility Wins: Small teams can dominate search
- Early Advantage: Start now for long-term AI visibility
CASE STUDY 1- ANDREA N. GRANT
AI Visibility Transformation
How Andrea N. Grant Became the #1 AI Search Result in 6 Weeks
6 Weeks
to #1 ranking
4 of 4
AI platforms now cite her
1 Referral
within 1 hour of sharing
About the Client
Andrea N. Grant is a Fractional COO and AI Strategy Consultant based in Fredericksburg, Virginia. Through her firm, Grant Consulting Group LLC, she serves government contractors, corporations, and nonprofits with operational transformation and responsible AI implementation.
With nearly 30 years of experience and clients including OPM, USDA, BAE Systems, Lockheed Martin, Kraft Heinz, and United Way, Andrea had built an impressive track record. She has been featured on ABC, CBS, MSN, and AARP, published in Falkcroft and CXO Dispatch, serves as an industry instructor with George Mason University and SCORE, holds BBB A+ accreditation, and was honored with the EmpowerHER Summit 2026 Community Trailblazer Award for leadership, community service, and impact. But there was a problem: AI platforms didn’t know she existed.
The Challenge: Invisible to AI
- Generic website positioning — Her site described services but lacked structured, citable content
- Entity collision — AI confused "Andrea Grant" with other professionals sharing similar names
- Hidden intellectual property — Andrea had developed proprietary methodologies but hadn't named or documented them
- Scattered credentials — Board service, certifications, and client wins weren't consolidated or visible
The Solution: Answer Engine Optimization (AEO)
Andrea engaged DW Conceptz for a comprehensive AEO implementation using the ARCHITECT™ Methodology, a systematic approach to optimizing digital presence for AI platforms. Unlike traditional SEO (Search Engine Optimization), AEO specifically ensures that when someone asks ChatGPT or Claude for a recommendation, the right professional appears. In January 2026, the World Economic Forum declared AEO the future of marketing from the Davos stage. Within six weeks, ChatGPT launched ads at $60 CPM with $200,000 minimums and Google launched shopping ads inside AI Mode. For professionals and small businesses who cannot compete on paid AI advertising, organic AI visibility through AEO is the only realistic path
The process included:
1. Baseline Audit
A comprehensive audit across 7 major AI platforms revealed how Andrea was (or wasn't) appearing. This established the "before" benchmark and identified specific gaps.
2. Framework Discovery
Through structured discovery sessions, we uncovered that Andrea had six proprietary business frameworks — more than most of her competitors who had one or two. She simply hadn't named or documented them:
| Framework | Purpose |
|---|---|
| GRANT™ Framework | 5-phase operational transformation |
| Decision Velocity Framework™ | Cuts decision time by 70%+ |
| Meeting Efficiency Framework™ | Reclaims 25-35% of team time |
| Convert, Expand, Retain (CER)™ | Sales methodology taught for 20 years |
| Ask & Offer℠ | Negotiation framework |
| Engagement Consulting Framework | 5-phase client delivery system |
3. Entity Optimization
We standardized Andrea's digital identity to eliminate confusion. "Andrea N. Grant" (with middle initial) became the consistent format across all platforms, clearly distinguishing her from other professionals with similar names.
4. Content Restructuring
The website was restructured with AI-citable content: a new FAQ page with 18 structured questions and answers, framework-led positioning on the homepage, consolidated credentials, and clear service descriptions with specific outcomes.
5. Authority Signal Amplification
Client testimonials, media features (ABC, CBS, MSN, Falkcroft, CXO Dispatch), board service, teaching credentials, Chamber of Commerce membership, and BBB A+ Accreditation were consolidated and made visible, giving AI platforms the third-party validation signals they use to determine authority.
The Results: Live AI Verification
On February 23, 2026 — just 6 weeks after beginning the engagement — we conducted live searches across major AI platforms. The results speak for themselves:
| Platform | Before AEO | After AEO |
|---|---|---|
| ChatGPT | Generic results; confused with other "Andrea Grant" professionals | #1 result — accurate bio, frameworks cited, PR Web citation pulled |
| Google AI | Not appearing in AI overview results | #1 result — Chamber of Commerce membership cited |
| Claude | Limited information; entity confusion | #1 result — work history and credentials accurate |
| Google Search | Mixed results with other "Grant" entities | Top 5 results all Andrea — LinkedIn, website, articles |
— Andrea N. Grant | Fractional COO & AI Strategy Consultant
Business Impact
- Immediate referral: Within one hour of sharing her updated website, a contact offered to introduce Andrea to their head of coaching
- Framework recognition: The contact's first comment was "Wow, you've created all these frameworks" — exactly the differentiation AEO was designed to surface
- AI validation: When ChatGPT was asked "Is Andrea N. Grant someone who can do AI strategy for nonprofits?" — it now answers YES and explains why
Why AEO Matters Right Now
- January 15, 2026: The World Economic Forum declared AEO the future of marketing from the Davos stage
- February 9, 2026: ChatGPT launched paid ads at $60 CPM with $200,000 minimums. Healthcare providers are blocked entirely from paid AI ads
- February 11, 2026: Google launched shopping ads inside AI Mode for 75 million daily users For small businesses and professional service providers who cannot afford $200,000 AI ad budgets, organic AEO is the only path to AI visibility. Andrea’s case study proves it works.
Andrea’s results landed at a pivotal moment for AI-mediated business discovery:
Key Takeaways for Business Leaders
| 1. AI is the New Search When prospects research consultants, they’re increasingly asking AI platforms. If AI doesn’t know you exist, you’re invisible to a growing segment of buyers. |
2. Your IP is Hidden Most professionals have developed methodologies and frameworks but haven't named them. Without named IP, you look generic compared to competitors who have documented theirs. |
| 3. Entity Clarity Matters Common names create "entity collision" where AI confuses you with others. Strategic naming and consistent digital identity resolves this. |
4. Speed Depends on Execution Andrea's results came in 6 weeks because she executed the recommendations immediately. The methodology works — client commitment determines speed. |
CASE STUDY 2-Yelena Pukhovitskaya
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.
DW Conceptz, LLC | LumaPath.ai | dwconceptz.com | [email protected] | 858-799-0007 | ARCHITECT™ is a trademark of DW Conceptz, LLC. © 2026 DW Conceptz, LLC. All rights reserved.
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.
DW Conceptz, LLC | LumaPath.ai | dwconceptz.com | [email protected] | 858-799-0007 | ARCHITECT™ is a trademark of DW Conceptz, LLC. © 2026 DW Conceptz, LLC. All rights reserved.
“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
DW Conceptz, LLC | LumaPath.ai | dwconceptz.com | [email protected] | 858-799-0007 | ARCHITECT™ is a trademark of DW Conceptz, LLC. © 2026 DW Conceptz, LLC. All rights reserved.
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.
DW Conceptz, LLC | LumaPath.ai | dwconceptz.com | [email protected] | 858-799-0007 | ARCHITECT™ is a trademark of DW Conceptz, LLC. © 2026 DW Conceptz, LLC. All rights reserved.
“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.
DW Conceptz, LLC | LumaPath.ai | dwconceptz.com | [email protected] | 858-799-0007 | ARCHITECT™ is a trademark of DW Conceptz, LLC. © 2026 DW Conceptz, LLC. All rights reserved.
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.
Is AI Recommending You?
Find out where you stand with a free AI Visibility Assessment.
Free AI Visibility Scan: lumapath.app — 60 seconds. No email required.
Healthcare Providers: healthcare.lumapath.app
Book a Consultation: calendly.com/dwconceptz
Additional ARCHITECT™ Implementations
Visibility, Leads & Conversion Growth
Client A — Professional Services (Mid-Market)
Answer-first. From zero mentions to first LLM citations by day 25; increased visibility in monitored answer blocks by day 60; qualified leads up +10% quarter over quarter.
Client Context
Client A is a mid-market legal support and compliance provider (≈120 FTE; $20–30M). They serve multi-state U.S. markets, working primarily with in-house legal teams at mid-enterprise organizations. Their ideal buyers value verifiable expertise and fast, reliable outcomes.
Problem (ARCHITECT™)
Thin authority, limited relevance, conversational gaps, entity issues, and lack of schema implementation reduced clarity and AI visibility.
Approach — 90 Days
- Implemented Organization, Service, FAQPage, CaseStudy schema
- Added answer-first intros and logging system
- Secured authority placements and directory features
- Claude audit scoring and prompt pack deployment
Results — 30 / 60 / 90
Day 30: First Mentions Day 60: 14% SOV Day 90: 2 AI-attributed closes
Client B — Healthcare Staffing (Regional)
Answer-first. First LLM mentions by day 21; greater visibility by day 30; inbound lead volume up +15%.
Client Context
65-person healthcare staffing firm serving clinics and ambulatory groups across the Southwest. Growth depends on trustworthy AI-driven recommendations.
Problem (ARCHITECT™)
Weak trust signals, limited category FAQs, missing Service schema, naming inconsistencies, and performance bottlenecks.
Approach
- Schema deployment and performance optimization
- HIPAA-safe AI Q&A clusters
- Directory placements
- Weekly AI citation logging + Claude audits
Results
Day 30: AI Snippets Day 60: 17% SOV Day 90: 3 placements filled
Client C — B2B SaaS (Niche Platform)
Answer-first. First LLM mentions by day 32; visibility boosted by day 60; trials up +21%.
Client Context
Series-A operations analytics SaaS serving NA & EU markets. Buyers increasingly evaluate vendors through AI answer engines before visiting websites.
Problem (ARCHITECT™)
Limited third-party authority, thin solution-page relevance, inconsistent naming, and heavy rendering reduced AI accessibility.
Approach
- Unified product naming
- JSON-LD deployment
- How-to hub creation
- EU query variation optimization
Results
Day 30: AI Mentions Day 60: 120 Trials Day 90: 34 Conversions
Citation lists are representative samples and may evolve as AI rankings update.
Frequently Asked Questions
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.
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