Cases · fourteen engagements · one method

Not a lucky case. A repeatable playbook.

Fourteen cases across different categories. The same operating loop. Growth proofs and baseline audits side by side.

Ten growth proofs (Humanswith.AI, Birdview PSA, GAC, Mansors, CodHob, Intellms, Large European bank, Perfect Panel, WEISAN and Raqma) show what the loop does in practice. Four baseline audits (Whitewill, Gorbilet, Nonton and LS ELECTRIC) show why a brand is invisible before the work starts — and the diagnostic pattern repeats across categories.


Engines measured

  • ChatGPT
  • Gemini
  • Google AIO
  • Google AI Mode
  • Perplexity
  • Copilot

Fourteen case studies · sorted by case number

One method. Every category.

Each case is sourced from the live Hermes Visibility dashboard plus public AI-engine queries we ran during the engagement. Original case write-ups are linked from each case page.


Humanswith.AI logo

Case 01 · AI marketing platform (our own brand)

Humanswith.AI

Citations: 9 → 1,000+ in 12 weeks · 🌎 Worldwide

We tested the playbook on the hardest target first — ourselves. No incumbent advantage, no friendly journalist on speed dial, no warm-list of clients vouching for us. Just the loop, on our own brand, for three months. Th

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Birdview PSA logo

Case 02 · B2B SaaS · Project Management

Birdview PSA

ChatGPT mention rate: 0.9% → 21.5% in 8 weeks · 🇨🇦 Canada and 🇺🇸 USA

An 8-week pilot took Birdview from 0.9% to 21.5% ChatGPT visibility. By September 2026 birdviewpsa.com was the most-cited site among 12 tracked PSA brands in AI answers, ahead of monday.com.

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GAC logo

Case 03 · Automotive retail

GAC

9,042 reads · cited on all 9 platforms after 6 weeks · 🇷🇺 St. Petersburg, Russia

GAC was invisible in AI answers about St. Petersburg car dealers: one mention across nine AI platforms. Six weeks of cost calculations, comparisons and buying guides brought 9,042 reads and citations on all nine.

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Whitewill logo

Case 04 · Premium real estate

Whitewill

Baseline audit: 0 LLM citations · 🇦🇪 Dubai, UAE

Whitewill is a strong Dubai-real-estate brand offline — but for 121 high-intent investment queries on AI engines, the brand had zero citations at baseline. Meanwhile Medium carried about 97 mentions, Engelvoelkers 92, Li

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Gorbilet logo

Case 05 · Tourism · river tours

Gorbilet

Baseline audit: 289 / 8,861 citations · 🇷🇺 Russia

Gorbilet's tourism niche behaves differently from B2B SaaS or real estate. The total AI citation surface for the topic produced 8,861 mentions — and Gorbilet already held 289 of them with 100 branded mentions and a 35 pe

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Nonton logo

Case 06 · Retail

Nonton

Baseline audit: 127 branded baseline mentions · 1 / 160 non-branded coverage · 🇷🇺 Russia

Nonton had strong brand-search results — 127 mentions when AI engines were asked about the brand by name. But across 160 non-branded category queries, the brand showed up in exactly one answer. Brand recognition was not

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LS ELECTRIC logo

Case 07 · Manufacturing · industrial automation

LS ELECTRIC

Baseline audit: 66 citations / 64 on homepage · 🌎 Global · 🇷🇺 Russia regional site

LS ELECTRIC's regional site had 66 AI citations on the topic — the entity was recognised. But 64 of the 66 citations landed on the homepage and only two on the support section. The global LS ELECTRIC site held 170 citati

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Mansors logo

Case 08 · Legal services, 🇦🇪 UAE business setup

Mansors

61 citations for one article · 7 AI platforms after 5 weeks · 🇦🇪 Dubai, UAE

Mansors helps Russian-speaking entrepreneurs open companies in the 🇦🇪 UAE, but AI answers in Russian about doing business there named competitors instead. A 5-week pilot published articles on the platform AI engines trus…

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CodHob logo

Case 09 · B2B fintech · white-label credit platforms

CodHob

Citations across 5 AI engines: 35 → 259 in 7 weeks · 🇰🇪 Kenya

CodHob started AI visibility from zero in April 2026. In seven weeks its domain grew from 35 to 259 citations across five AI engines, second in 🇰🇪 Kenya's credit platform niche.

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Intellms logo

Case 10 · Enterprise software · ERP and LLM solutions

Intellms

Citations across 9 AI engines: 53 → 112 in 5 weeks · 🇷🇺 Russia

Intellms went from 53 to 112 citations in AI answers in one month of its AEO program. 62 came from Google AI Overviews, Yandex AEO, and Gemini. ChatGPT does not cite the site yet.

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Large European bank logo

Case 11 · Banking · business accounts for small and medium business

Large European bank

Citations of the bank's site: 123 → 165 in 13 weeks · 🇪🇺 Europe and CIS

Over three months of an AEO pilot for a European bank's business accounts, site citations grew from 123 to 165. 5 of 12 articles are cited, while brand visibility fell from 55.2% to 47.6%.

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Perfect Panel logo

Case 12 · B2B SaaS · SMM Platform Automation

Perfect Panel

73.96% prompt mention rate · 19.67% owned links after 8 weeks · 🌎 Global · 🇺🇸 US & 🇪🇺 Europe

Perfect Panel reached a 73.96% prompt mention rate (250/338 prompts), 46.72% answer visibility across 1,342 AI responses, and a 19.67% owned-domain link rate (264 cited links, avg position 1.61).

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WEISAN logo

Case 13 · Industrial B2B · Recycling & Shredding Equipment

WEISAN

60.61% prompt mention rate · 20.11% owned links after 8 weeks · 🇷🇺 Russia & CIS

Industrial B2B equipment supplier WEISAN reached a 60.61% prompt mention rate (140/231 prompts), 41.52% answer visibility across 920 AI responses, and a 20.11% owned-domain link rate (185 cited links, avg position 1.29).

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Raqma logo

Case 14 · B2B Technology & Digital Solutions

Raqma

564 owned-domain link answers · 34.01% mention rate after 8 weeks · MENA & International

Across 594 tracked prompts (591 non-branded) and 2,934 AI responses, B2B tech tenant Raqma reached a 34.01% prompt mention rate and a 19.22% owned-domain link rate (564 cited domain links).

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14

case studies · 13 categories

9

AI engines measured per case

6–12

typical first-lift window · weeks



Why this works

One loop. Different categories.

A buyer might wonder why the cases share the same shape. It is not coincidence; it is the method. Every engagement runs the same loop: Hermes measures the per-engine citation gap, ContentOS ships the trust-graph content that closes it, Website Agentic Optimization gets the schema right, then Hermes re-measures. The numbers move because the loop moves them, not because the category is special. A B2B SaaS, a real-estate brokerage, and a regional industrial site converge on the same shape of result. That repeatability is the proof you cannot fake.


How the loop runs

What 90 days looks like.

The same sequence ran for every case below. Industry-specific deliverables differ; the loop shape does not.

  1. Week 1. Hermes baseline scan: per-engine citation map across the answer engines, ranked against the 5 closest competitors.
  2. Week 2–3. Trust graph: Organization, Person, Service schema; sameAs to verified profiles; third-party authority anchors (Clutch, Google Maps, vertical-specific).
  3. Week 4–7. ContentOS ships 6 chunk-ready pieces (research-driven, factcheck-verified, citation-target). Each piece a candidate for AI extraction.
  4. Week 8–10. Off-site authority: third-party publication placements, podcast guesting, vertical-association listings.
  5. Week 11–12. Hermes re-scan + report. Per-engine delta vs baseline, gaps that closed, gaps that need a second round.

Agency archive · 2019–2025

Looking for the agency-era work?

Performance, SEO, CRM, content, growth — thirty-four preserved cases from before the 2025 platform pivot.

The cases above use a modern proof model: per-engine AI mention rate, citation tracking across the answer engines, weekly delta reports. The agency-era work used a different proof model entirely (Google Analytics, CRM dashboards, ad-platform metrics) and lives in its own archive so the two don't get read with the same lens.

Categories include healthcare (clinics, dental, medical), logistics (Infinity Logistix), e-commerce, real estate, auto, tooling (CRM, outreach, Notion), and agency positioning.


Case questions buyers ask

Frequently asked about the cases

How long until results show up?

Growth proofs in this set ran 5 to 12 weeks. Mansors was cited by seven AI platforms after a five-week pilot. GAC reached the default-recommendation position in six weeks. Birdview PSA hit a 23-times ChatGPT lift in eight weeks. Humanswith.AI dogfood ran for three months. Baseline audits (Whitewill, Nonton, LS ELECTRIC) ship results in execution quarters that follow the audit.

Are these numbers verified?

Yes. Each case is sourced from the live Hermes Visibility dashboard plus the public AI-engine queries we ran during the engagement. The original case write-ups are linked from each case page on this site and on gregshevchenko.com/research.

Why a mix of growth proofs and baseline audits?

Growth proofs show what the operating method does in practice. Baseline audits show why a brand is invisible before the work starts — and the diagnostic pattern repeats across categories. Both are useful to a prospect deciding whether the same loop applies to their situation.

Will my industry work?

We have shipped the playbook in B2B SaaS, auto retail, premium real estate, legal services, tourism, retail, and industrial manufacturing. The Hermes audit shows the closeable gap in your category before you sign — if the third-party source set or commercial-intent surface is thin, we will tell you so.

Can I talk to one of the clients?

Yes. After the strategy call we connect you with a current client in a comparable category. We do not run references blind to either side.

Why is the playbook the same across categories?

The mechanics of getting cited by AI repeat: map the query landscape, ship chunk-ready content on the surfaces AI engines trust for your category, measure weekly. The channel mix changes per niche (Medium for B2B SaaS, operator sites for tourism, Engelvoelkers-class publications for 🇦🇪 Dubai real estate) but the loop is the same.


Want a case like one of these?

The strategy call shows your closeable gap. The audit shows your AI mention rate.

Free thirty-minute strategy call.

An engineer from our AI search team runs your brand through Hermes before the call. You see exactly where each engine names you today. We tell you which of these cases looks most like your situation — and whether the same loop applies.