# Humanswith.AI — full content for AI ingestion

> Concatenated bodies of canonical P0 pages. Snapshot of 2026-08-09.

---

## Page: https://humanswith.ai/

### Hero

AI-native marketing · Get cited where your buyers now search.

Every buyer Googled first. Now they ask AI first. We put you in that answer.

We are not another GEO tool. We are a marketing operating system. When a buyer asks AI "who is the best in my category?", your brand should be the answer. We make that happen across the nine engines your buyers now ask first: ChatGPT, Claude, Perplexity, Gemini, Grok, DeepSeek, Kimi, Google AI Overviews and Microsoft Copilot.

### Why we built this

"I watched our clients pay $5K a month for content Google had stopped showing — and that AI had never learned to cite." That was the breaking point. So we stopped optimising pages and started building the third-party evidence AI actually trusts.

### What AEO and GEO actually mean

SEO earns a blue link. GEO earns the recommendation. Classic SEO optimises one website to rank a page. GEO builds the third-party evidence AI systems trust, retrieve, and quote.

AEO (Answer Engine Optimization) is the practice of becoming one of the few names ChatGPT, Perplexity, and Google AI Overviews return when a buyer asks what to choose. GEO (Generative Engine Optimization) is the broader discipline of building and structuring the reviews, mentions, and trusted publications models draw on to recommend a brand.

### Why now (the agentic web)

The agentic web runs on the brands AI knows. Invisible to AI in 2026 means invisible to buyers by 2028.

Without AI visibility, when buyers ask AI what to choose, they hear your competitors' names. Traffic drops. Sales slow. The longer you wait, the harder it is to catch up. With Humanswith.AI, your brand appears first when buyers ask AI in your category. New leads arrive without ads. AI becomes your most reliable sales channel.

The window is now. Companies that establish AI visibility in 2026 will be the default recommendation for years. Those who wait will pay 10× more to catch up — or never will.

### The shift — Share of Model is the new Market Cap

- 800 million ChatGPT MAU in 2026 (1B+ queries per day)
- 12% of CMOs have moved budget to GEO (Conductor 2026)
- AI-cited visits convert about 5× better than organic clicks
- CTR of #1 Google result dropped 61% after AI Overviews launched

Sources: a16z May 2025, Conductor 2026, SparkToro 2025, OpenAI/Vercel public disclosures.

### The contrarian truth

Most AI citations come from third-party sources, not from your website. The SEO lie: "content on your site matters most." The AI truth: the majority of citations come from outside — third-party authoritative sources, external entity mentions (Reddit, Forbes), trusted publications in your category. Published 2026 figures range from about 39% to 95% because they measure different things; AirOps, 2026 State of AI Search, puts brand mentions in early commercial discovery at about 85% external.

AI is an agent, not a librarian. It does not return ten links — it picks who to trust and names one answer. We build that trust, then make sure the answer is your brand. (SparkToro 2025.)

### How it works in three steps

1. **Measure.** Hermes scans all nine AI engines weekly. You see exactly where your brand is mentioned, where rivals win, and which gaps to close first.
2. **Orchestrate.** Hermes turns each gap into approved work. You sign off; the agents build content, schema, and outreach to the trusted sources AI quotes.
3. **Execute.** ContentOS and Website Agentic Optimization ship the citations, your re-scan in week four shows the lift, and you double down on what moved the share-of-model number.

### The platform — Marketing Agents, one operator

One operated workspace — eighteen agents (18 installed) coordinated by a Marketing Operator. Five agents own visibility analysis, content production and quality gates, canonical publishing and distribution, technical website readiness and verification and repeatable visual asset delivery; support, control-plane, and ops agents complete the install. Humans retain strategy, claim approval, exceptions, merge, deploy, and publishing authority.

### Marketing Agents (buyer-facing)

- **Hermes Visibility** (measures, owns visibility analysis). Comparable AI-visibility observations and governed opportunities. Hermes preserves comparable observations and keeps mentions distinct from citations. AI Visibility Intelligence normalizes the evidence, ranks opportunities, and prepares the next governed handoff.
- **ContentOS** (produces, owns content production and quality gates). governed content packets with visible evidence. ContentOS carries the prompt map, source boundary, draft, metadata, schema, checks, repair history, and human approval state together. Publishing authority stays in a separate product layer.
- **Content Publisher** (publishes, owns canonical publishing and distribution). canonical-first publishing and bounded distribution. Content Publisher preflights the destination, runs guarded publication, proves the live route, and keeps every approved channel adaptation connected by a visible source link.
- **Website Agentic Optimization** (optimizes, owns technical website readiness and verification). project-bound website changes with live proof. The workflow can repair discovery, metadata, schema, links, layout, and performance within an approved scope. Passing CI remains human-review-required, and technical proof does not become a claim of causal attribution.
- **Visual Asset Studio** (designs, owns repeatable visual asset delivery). placement-specific visual assets with pixel proof. Visual Asset Studio renders against an exact placement and verifies the final pixels before handoff. It does not invent a brand system or campaign concept when the brief is incomplete.

### Full workspace roster (18 AI agents)

1. **Hermes + AI Visibility Intelligence** [marketing] — Comparable AI-visibility observations, citation vs mention split, and governed next-action handoffs.
2. **Workspace ContentOS** [marketing] — Source-bounded briefs, drafts, schema handoff, quality receipt, and approval-ready packets.
3. **Content Publisher** [marketing] — Canonical-first publishing, channel adaptations, guarded rebuild, and live proof.
4. **Website Agentic Optimization** [marketing] — Project-bound website change packets with exact-commit checks and production verification.
5. **Visual Asset Studio** [marketing] — Placement-specific visual assets with fit, safe-area, provenance, and pixel proof.
6. **Parsing Stack** [support] — Bounded source retrieval, SERP evidence, and structured facts with uncertainty checks.
7. **Content Package Studio** [support] — Branded client PDF packages, schema deliverables, manifests, and destination proof.
8. **Workspace Orchestrator** [control_plane] — Classifies requests, projects authority, builds the execution plan, and records required proof.
9. **Agent Governance** [control_plane] — Compiles project rule packs and records winning vs shadowed rules (shadow mode until enforced).
10. **Proof Loop** [control_plane] — Runs task-relevant tests, static analysis, visual baselines, and golden gates before done.
11. **Workspace Memory** [control_plane] — Keeps sourced decisions, accepted artifacts, install proofs, and audit facts across sessions.
12. **Workspace Files** [control_plane] — Owns shared artifact paths, checksums, and delivery proof operators can open.
13. **Handoff Continuity** [control_plane] — Records continuation state, proof, blockers, and the next executable action across sessions.
14. **Token Profile Router** [control_plane] — Selects the smallest safe tool profile and keeps heavy tooling opt-in for a stated reason.
15. **Proactive Controller** [control_plane] — Suggests safe preflight and stale-install checks without publish, send, delete, or credential mutation.
16. **Medium Publisher** [ops] — Channel adapter: one canonical URL into one Medium draft/publish job under one server-owned session.
17. **MailOps** [ops] — Turns email into governed workspace packets with draft-only reply capture.
18. **Regula SEO** [ops] — Project-bound SEO truth layer when installed for a tenant; not a separately sold generic product.

### Throughput

10× article throughput: 100–120/mo with one operator + 18 AI agents vs 10–12/mo from a 6-person freelance team.
Compared with a 6-person freelance/content team at 10–12 articles/month; one Marketing Operator + 18 AI agents at 100–120 articles/month.

Platform in active development — module by module. We are systematically automating what our specialists currently execute by hand. Today, your work is delivered in semi-automatic mode with expert oversight at every step.

### Marketing Agents platform page

The commercial Marketing Agents page lives at https://humanswith.ai/platform/marketing-agents/. Five agents own repeatable marketing responsibilities inside the 18-agent workspace: Hermes with AI Visibility Intelligence handles observations and opportunities; ContentOS produces governed packets; Content Publisher ships the canonical asset before bounded channel adaptations; Website Agentic Optimization prepares and proves project-bound changes; Visual Asset Studio renders placement-specific assets. Humans retain decision authority. Scale throughput: 10× (10–12 → 100–120 articles/mo). The methodology source is Gregory Shevchenko's research essay at https://gregshevchenko.com/research/ai-what-next-workspace-agents/.

### How it works page

The route-level operating-method hub lives at https://humanswith.ai/how-it-works/. Russian and Arabic mirrors live at https://humanswith.ai/ru/how-it-works/ and https://humanswith.ai/ar/how-it-works/. This page does not duplicate the platform overview or the ContentOS module page. It explains how a buyer engagement actually runs: an engineer presents the first Hermes audit, chooses the closeable AI visibility gap, runs Marketing Agents to produce the work packet, gets human approval, publishes, and re-measures the lift every week.

The operating steps are:

1. **Run the Hermes scan.** Scan ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, Kimi, Google AI Overviews, and Microsoft Copilot for the brand, competitors, and category prompts.
2. **Choose the closeable gap.** Identify which missing citation, source type, page, case, or technical fix can change the next AI answer fastest.
3. **Produce the work packet.** ContentOS, Website Agentic Optimization, and the publishing workflow prepare the canonical page, article, schema, distribution draft, or case asset.
4. **Approve before publishing.** Humans approve evidence, claims, tone, and channel adaptation before anything goes live.
5. **Re-measure every week.** The next scan shows lift, plateau, or regression, and that result becomes the input for the next week's work.

The page links forward to Marketing Agents, Workspace ContentOS, Website Agentic Optimization, pricing, and cases. Its schema graph includes HowTo, Service, FAQPage, BreadcrumbList, and SpeakableSpecification.

### Operational pilot and Marketing Operator

The operational pilot is a 3–4-month managed path at $3,000/mo: $1,250/mo for the Agentic Workspace plus $1,750/mo for the Marketing Operator. After setup, a trained client employee can take over the operator role from month 2 onward; the operator line is then removed and the platform subscription remains. The role contract lives at https://humanswith.ai/marketing-operator/.

The pilot targets approximately 300+ owned and external content units across the full run. The steady-state monthly range is 120–160 units, not a flat promise from month one. Dividing the all-in monthly package by that range produces $18.75–$25 per unit. The upper figure applies only at the conservative floor, and the calculation excludes client review time, paid distribution, third-party author costs.

The timing model separates first signal from fuller collection. The first-signal watch is roughly 7 days; 36 days is the window for collecting a fuller citation picture across prompts and engines. The 48-day freshness value is only an internal portfolio-review trigger because the exact threshold was not independently validated.

### Canonical-first distribution guardrails

The public policy lives at https://humanswith.ai/distribution-guardrails/. Publish the complete owned source first, rewrite for each destination, preserve approved facts, link visibly to the source, log the release, and connect it to the next visibility scan. The Medium and LinkedIn figures on that page are Humanswith.ai operating caps, not claims about either platform's technical limits. Cross-domain canonical tags can help where supported, but visible provenance and a clearly more complete owned source remain mandatory.

### Workspace ContentOS page

The Workspace ContentOS deep dive lives at https://humanswith.ai/platform/contentos/. ContentOS is the AI content operations agent inside Humanswith.AI Workspace. It turns AI visibility gaps into source-backed briefs, drafts, schema, quality reports, and approval-ready content packets. Hermes Visibility and AI Visibility identify which prompts, engines, competitors, and source types matter. Parsing Stack gathers SERP evidence, fetched source pages, and structured facts. ContentOS uses that evidence to create the brief, draft the page or article, run quality gates, sync artifacts to Workspace Files, and keep publishing draft-only until a human or scoped publishing agent approves.

The current ContentOS output packet can include brief markdown, final article or page markdown, quality report markdown, schema JSON-LD, final uplift JSON, gate results JSON, and a contentos-package receipt. Quality gates cover publish-readiness, citation integrity, factcheck, grammar, readability, uniqueness, AI-likeness, AEO/GEO readiness, and native Russian editorial checks where relevant. The public positioning is not "AI writer"; it is governed AI content operations for citation-ready AI Search pages.

### Content Package Studio

The Content Package Studio page lives at https://humanswith.ai/platform/content-package-studio/. It is an operator-run packaging step, not another writing agent. It accepts an approved ContentOS article and receipt, applies an approved delivery contract, creates the required branded PDF, schema deliverable, manifest, and supporting files, then verifies the exact files at the destination. Packaging cannot silently rewrite unaccepted content, invent a brand system, or grant itself CMS publishing authority.

The Content Publisher deep dive lives at https://humanswith.ai/platform/content-publisher/. Content Publisher is the publishing and distribution agent inside Humanswith.AI Workspace. It turns an approved ContentOS packet into a controlled publishing run: canonical route selection, SEO metadata, OG handoff, schema handoff, duplicate slug and duplicate block checks, guarded rebuild proof, distribution drafts, sitemap or re-indexing notes when applicable, and a follow-up Hermes or AI Visibility scan task. The product rule is canonical-first: publish the commercial page, article, case, or owned research on humanswith.ai first, then adapt for LinkedIn, Medium, dev.to, partner blogs, newsletters, VC.ru, Dzen, Telegram, or partner media depending on language and audience. External posts link back to the source because cross-domain canonical support is unreliable.

ContentOS Agent Lite is the open-source MIT version at https://github.com/humanswith-ai/contentos-agent-lite. It is the local skeleton of the ContentOS process: seven gates from business context and research/source pack to brief readiness, draft quality, editorial uplift, and publish readiness. It runs in Claude Code, Cursor, and Codex with zero required API keys; optional Python helpers and free-tier research keys make research and scoring more repeatable. Lite is for teams that want to inspect and adapt the method in their own repo. Hosted Workspace ContentOS adds managed AI Visibility inputs, Parsing Stack evidence, Workspace Files artifacts, source QA, repair loops, team-scoped Workspace keys, approvals, and publishing handoff.

### Proof — three markets, one playbook

Case 01 — Humanswith.AI (dogfood, 3 months). Before: 2 citations. After: 1,000+ citations, 819 AI mentions, 15.4% visibility share — five to ten times ahead of every competitor in the category.

Case 02 — GAC, auto retailer (St. Petersburg, 6 weeks). Before: AI-blind, 1 AI mention, 0 of 9 platforms. After: the default recommendation, 9,042 reads, cited on all 9 platforms. "Now ChatGPT recommends us by name." — Head of Marketing, GAC.

Case 03 — Birdview PSA, B2B SaaS (Canada/USA, 8 weeks). Before: near-invisible in PMS, ChatGPT 0.9%, Gemini 6.4%, losing to Monday.com, Asana, Wrike. After: ×23 visibility in ChatGPT (0.9% → 21.5%), Gemini 27.8%. Now cited alongside Monday.com, Wrike, Asana.

One method. Three very different markets — our own brand, auto retail in Russia, B2B SaaS in North America. The same result every time.

### Founders

- **Gregory Shevchenko** — Co-founder, CEO/CTO. CTO and architect of AI visibility. 13+ years full-service marketing. 8 years building production systems. Founded Humanswith.ai in 2019. Pioneered the GEO/AEO playbook now executing for 9 clients across US, UAE, EU. Codes Workspace Core and Agents himself. Speaker: Forbes, WSJ, Tagline Awards.
- **Ekaterina Lebedeva** — Co-founder, CFO, Business Development. The architect of business scale. 15+ years management consulting (Tech & Telco). Ex-CEO of a tech consulting company. Led a 30+ expert team. $100M+ in M&A. Launched Visa- and Gartner-recognized products.

Team stats: 6 years operating, 15 AI-skilled operators, 9 paying clients (May 2026), 13 years SMB marketing expertise.

### Cited across (proof badges)

ChatGPT, Claude, Perplexity, Gemini, Grok, DeepSeek, Kimi, Google AI Overviews, Microsoft Copilot.

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## Page: https://humanswith.ai/pricing

Four tiers, no setup fee, monthly plans, no annual lock-in.

### Starter — $497/mo

Solo founder, pre-$1M ARR. Audit + monthly brief + 3 competitors tracked across 9 LLMs.

### Category Winner — $997/mo (featured)

$1M–$5M ARR. Full Hermes Visibility + ContentOS + weekly briefs + 10 competitors tracked + content production assist.

### Scale — $2,497/mo

$5M–$30M ARR. Replace freelance marketers with Marketing Agents — always-on, 10× article throughput (10–12 → 100–120/mo with one operator + 18 AI agents), quality controlled at every step. Multi-brand support, API access, Website Agentic Optimization included.

### Done-for-you — $5–15K/mo

Managed engagement. Agency-style delivery for SMBs that want outcomes, not tools.

### Operational pilot — $3,000/mo

The managed bridge between software and done-for-you delivery: $1,250/mo for the Agentic Workspace plus $1,750/mo for the Marketing Operator. The role can transfer to a trained client employee after setup.

### Where companies go wrong with AI search

Most teams optimise the page. AI rewards the trust graph around it. Old search budgets pour effort into the website itself — polishing copy, chasing keyword rankings on a single domain. Published studies agree that third-party sources matter heavily, but their percentages vary because they measure different engines, query stages, citation types, and brand mentions. We therefore publish the direction and the source boundary instead of a single universal percentage.

The public operating-model comparison does not sum a hypothetical software basket. It compares who owns prioritisation, production, approval, publication, and remeasurement. The pricing page separately keeps a dated line-by-line vendor table for teams that want to inspect one illustrative procurement configuration.

Enterprise teams often already have analyst relationships and PR capacity. Humanswith.ai gives smaller teams a governed operating loop without inventing a public estimate of what another supplier would charge.

### Procurement reference

The pricing page includes one illustrative ten-licence configuration using vendor-published tiers recorded by the pricing data source. It is not a benchmark, a recommended stack, or the basis of Humanswith.ai service pricing. Positions without a published price are named but not estimated and not summed.

### First-30-days onboarding

1. **Week 1 — audit.** We scan all nine AI engines for your brand and your top three competitors. You get the Hermes visibility report with the gap map.
2. **Week 2 — brief.** Joint kickoff on the three highest-leverage citation gaps. Approved scope, locked work items, signed.
3. **Weeks 3–4 — execution.** Content + schema + outreach ship behind your approval. Re-scan in week four shows the lift.

No two-year contract. Stop any month. Most teams upgrade after the first re-scan.

### Pricing FAQ

- **What does each tier actually include?** Starter = audit + monthly brief for one brand. Category Winner = full Hermes Visibility + ContentOS + weekly briefs + 10 competitors tracked. Scale = always-on Marketing Agents replacing your freelance team. Done-for-you = managed engagement with our specialists running everything.
- **Can I start on Starter and upgrade?** Yes. Most clients start on Category Winner once they see the audit. Upgrades are mid-cycle, prorated. There are no annual commitments on monthly tiers.
- **How does Scale compare to hiring freelancers?** Scale is an operated service, not the resale of a software basket. The dated vendor table is an illustrative procurement reference; it is not a benchmark or the basis of our price. Scale covers the platform scope and operating responsibility described in the tier.
- **Is there a setup fee?** No setup fee on Starter/Category Winner/Scale. Done-for-you includes a 2-week onboarding sprint built into month 1.
- **Which AI engines do you track on each tier?** All tiers track the same nine: ChatGPT, Perplexity, Gemini, Claude, Grok, DeepSeek, Kimi, Google AI Overviews, and Microsoft Copilot. What changes between tiers is scan frequency + competitor count + execution depth.
- **Do you offer custom enterprise pricing?** Yes. For multi-brand portfolios, $30M+ ARR, or compliance-heavy industries — talk to us directly. Done-for-you starts at $5K/mo and scales with scope.
- **What does the first audit actually show me?** A per-engine breakdown of how the nine major AI surfaces describe your brand, your top three competitors, and the queries your buyers are running. Citation map, gap analysis, prioritised work list.
- **How is this different from Profound, Otterly, or AthenaHQ?** Those tools are measurement-only — they report where AI mentions you. Humanswith.ai measures and closes the loop: we ship the content, schema, and outreach that earn the new citations, then re-measure.

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## Contact

g@humanswith.ai for partnership and platform inquiries. team@humanswith.ai for everything else. Free 30-minute strategy call available on request.

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## Modern case studies (Hermes / AI-search era, 7 total)

### Humanswith.AI (AI marketing platform (our own brand), 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. Then we sold it.

- BEFORE: 2 citations
- AFTER: 1,000+
- METRICS: 1,000+ citations · 3 months, 819 AI mentions, 15.4% share-of-model, 5–10× ahead of field
- URL: https://humanswith.ai/cases/humanswith-ai/

### Birdview PSA (B2B SaaS · Project Management, Canada and USA)

Birdview had strong AI visibility inside the narrow PSA (Professional Services Automation) cluster — Perplexity 40%, Claude 41%. But in the broader PMS (Project Management Software) cluster where the larger audience lives, ChatGPT cited them in only 0.9 percent of answers. Eight weeks of Decision-stage focus moved that to 21.5 percent — a 23-times lift — and put Birdview in answers alongside Monday.com, Wrike, and Asana.

- BEFORE: 0.9% ChatGPT mention rate
- AFTER: 21.5%
- METRICS: 23× ChatGPT visibility lift, 13× unique LLM queries, 100 queries mapped, 8 articles shipped, 95 / 100 SEO overlap
- URL: https://humanswith.ai/cases/birdview-psa/

### GAC (Automotive retail, St. Petersburg, Russia)

GAC was AI-blind in St. Petersburg auto retail — one mention across nine AI engines, while competitors got recommended daily. Six weeks of format-driven content (calculations, competitor comparisons, 'should I buy?' guides) produced nine articles, 9,042 reads, and presence across all nine measured AI platforms. The format choice — not the volume — moved the needle.

- BEFORE: AI-blind
- AFTER: 9,042
- METRICS: 9 / 9 AI platforms cited, 9,042 total reads · 6 weeks, 7,250 reads from top 4, 6 / 9 articles cited by AI
- URL: https://humanswith.ai/cases/gac/

### Whitewill (Premium real estate, 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, LinkedIn 44, and Property Finder 21. The answer layer was already occupied by trusted third-party surfaces before the owned site could break through. The fix is a publication-surface strategy, not more site content.

- BEFORE: 0 LLM citations
- AFTER: Surface-first
- METRICS: 0 / 121 baseline citations, 97 Medium mentions, 92 Engelvoelkers mentions, 121 queries audited
- URL: https://humanswith.ai/cases/whitewill-dubai/

### Gorbilet (Tourism · river tours, 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 percent branded share. The headline finding: 94.6 percent of citations in this niche came from operator websites themselves, not from blogs, media, or video platforms. The strategy shifted toward deep operator-site content as the primary channel.

- BEFORE: 289 / 8,861 citations
- AFTER: 94.6%
- METRICS: 8,861 total niche citations, 289 Gorbilet citations, 35% branded share, 94.6% citations on operator sites, 210 → 8 query map to pilot topics
- URL: https://humanswith.ai/cases/gorbilet/

### Nonton (Retail, 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 translating into category-level answer visibility. The fix was a 200-query map split into branded and non-branded demand, two-circuit publishing, and chunk-ready owned-site pages built for the category prompts that actually decide a purchase.

- BEFORE: 127 vs 1
- AFTER: 200
- METRICS: 127 branded baseline mentions, 1 / 160 non-branded coverage, 200 queries mapped, 2 publishing circuits
- URL: https://humanswith.ai/cases/nonton/

### LS ELECTRIC (Manufacturing · industrial automation, 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 citations on the same topic. The implication is direct: AI systems knew the entity existed, but the regional site lacked the product, distributor, comparison, and catalogue pages needed to answer real buying questions. The fix is commercial-intent content depth, not more brand awareness.

- BEFORE: 66 citations / 64 on homepage
- AFTER: Alternatives, comparisons, distributors
- METRICS: 66 / 64 citations · homepage share, 170 global site citations, 2 non-homepage citations
- URL: https://humanswith.ai/cases/ls-electric/

---

## Agency-era case archive (34 cases, 2019–2025)

Performance/SEO/CRM/content/growth work shipped before the 2025 platform pivot. Different proof model (Google Analytics, CRM dashboards) than the modern Hermes/AI-search cases above. Full archive at https://humanswith.ai/cases/archive/.

- healthcare: 12 cases
- logistics: 6 cases
- tooling: 5 cases
- other: 4 cases
- real-estate: 2 cases
- ecommerce: 2 cases
- enterprise: 2 cases
- positioning: 1 cases

---

## Recent blog posts (25 most recent of 25+ English)

- [AI Citation Monitoring After Publish: A 30-Day Protocol](https://humanswith.ai/blog/ai-citation-monitoring-30-day-protocol/) — Track AI citations after publish with a 30-day protocol for ChatGPT, Perplexity, Gemini, Claude, and Humanswith.ai workflows.
- [Why 2026 Multichannel Marketing Needs a New AI Model](https://humanswith.ai/blog/marketing-channel-accumulation-ai-native-teams/) — CMOs put 15.3% of budgets into AI in 2026. Learn why B2B teams need a new multichannel operating model with accountable humans.
- [Four VC firms agree on AI-native services. That's the easy part.](https://humanswith.ai/blog/four-vc-firms-ai-native-services/) — Four VC funds agree on AI-native services. Humanswith.ai ran the before/after — 10x output, half the budget — and lays out the filter that separates real from costume.
- [How to Create Content Optimized for AI Summarization](https://humanswith.ai/blog/how-to-create-content-optimized-for-ai-summarization/) — A practitioner guide to writing content that ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews can extract, trust, and cite.
- [How to structure content for Knowledge Graph inclusion: 7 proven tactics with schema and entity signals](https://humanswith.ai/blog/how-to-structure-content-for-knowledge-graph-inclusion/) — Learn exactly how to structure content for Knowledge Graph inclusion - entity markup, schema types, and E-E-A-T signals that get your brand into Google entity index.
- [How to Optimize Content for LLM Retrieval: 7 Tactics That Get You Cited by ChatGPT, Perplexity, and Gemini](https://humanswith.ai/blog/how-to-optimize-content-for-llm-retrieval/) — 7 tactics to optimize content for LLM retrieval so AI engines cite your brand
- [How to Build Topical Authority That Gets Your Brand Cited by ChatGPT, Perplexity, and Google AI Overviews](https://humanswith.ai/blog/how-to-build-topical-authority-ai-search/) — 7-step framework to make AI engines cite your brand
- [How Featured Snippets Directly Shape AI-Generated Answers in 2026](https://humanswith.ai/blog/how-featured-snippets-directly-shape-ai-generated-answers-in-2026/) — 99.5% of Google AI Overview sources held a featured snippet or top-3 position. Learn the RAG mechanism, 5 key studies, and a step-by-step audit to win AI citations in 2026.
- [How E-E-A-T Signals Determine Whether AI Engines Cite Your Content](https://humanswith.ai/blog/eeat-signals-ai-answer-engines/) — How Google E-E-A-T signals drive visibility in ChatGPT, Gemini, and Perplexity answers — with data from BrightEdge, Ahrefs, Semrush, and Profound.co, plus GEO tactics. Updated for 
- [ChatGPT Citation Signals: What Determines Which Sources Get Referenced](https://humanswith.ai/blog/chatgpt-citation-signals-what-determines-which-sources-get-referenced/) — ChatGPT citation signals differ from traditional SEO. This guide covers the key factors - passage directness, source trust, and accessibility - that determine which sources AI refe
- [AI Search Ranking Factors: What Determines Which Sources Get Cited](https://humanswith.ai/blog/ai-search-ranking-factors-what-determines-which-sources-get-cited/) — AI search systems cite passages, not pages. This guide covers what gets your content cited in Google AI Overviews, ChatGPT Search, Perplexity, and Bing Copilot.
- [Get Your Content Cited in ChatGPT: 2026 AEO Strategy](https://humanswith.ai/blog/how-to-get-your-content-cited-in-chatgpt-answers/) — Learn how to optimize content for ChatGPT citations using AEO tactics. Humanswith.ai reveals the 2026 framework for AI visibility and organic discovery.
- [What KPIs Define Success in LLM Optimization?](https://humanswith.ai/blog/what-kpis-define-success-in-llm-optimization/) — Six measurable KPIs for LLM optimization in 2026: citation rate, brand mention share, answer presence rate, AI-referred traffic, extraction fidelity, and pipeline attribution.
- [What Results Can a GEO Agency Deliver?](https://humanswith.ai/blog/what-results-can-a-geo-agency-deliver/) — A 2026 evidence guide to measurable outcomes from a GEO agency: citation rates, AI-referred traffic benchmarks, brand mention share, and pipeline attribution data for B2B marketing
- [What ROI Can AI Search Optimization Deliver? A 2026 Evidence Guide](https://humanswith.ai/blog/what-roi-can-ai-search-optimization-deliver/) — A data-driven guide to measuring AEO and GEO ROI in 2026, with benchmarks, conversion data, and a step-by-step calculation framework for marketing teams.
- [How Fast Can LLM Visibility Improve? GEO & AEO Timelines, Real Benchmarks, and What Actually Works in 2026](https://humanswith.ai/blog/how-fast-can-llm-visibility-improve/) — Real timelines for GEO and AEO gains: Google AI Overviews in 4–6 weeks, Perplexity in 30–45 days, ChatGPT Browse in 90–180 days. Named benchmarks, case studies, and a 90-day action
- [GEO vs. SEO: Does Generative Engine Optimization Actually Drive AI Search Visibility?](https://humanswith.ai/blog/is-geo-necessary-for-ai-search-visibility/) — Is GEO a mandatory investment or an optional SEO layer? Princeton research, Q1 2026 benchmarks, platform-by-platform evidence, and a decision framework for senior marketers.
- [AEO in 2026: Hard Numbers, Named Winners, and Whether the ROI Justifies the Spend](https://humanswith.ai/blog/is-aeo-worth-investing-2026/) — AEO ROI in 2026: named case studies from NerdWallet, Healthline, Zapier, Q1 2026 benchmarks, and a decision framework for justifying AEO budget to your CMO.
- [The 7 Biggest AEO and GEO Optimization Levers That Drive AI-Era Visibility](https://humanswith.ai/blog/aeo-and-geo-optimization-levers-2025/) — The 7 highest-leverage AEO and GEO tactics for 2026: Schema markup, entity authority, E-E-A-T, AI crawlability, and brand mention velocity. Q1 2026 benchmarks from Profound, Author
- [How to Design GEO-First Content in 2026: QRAF Architecture, Schema-First Pages, Entity Authority, and GVS](https://humanswith.ai/blog/how-to-design-geo-first-content-2026/) — Step-by-step GEO-first content design system: QRAF architecture, entity authority, schema-first pages, freshness engineering, and GVS measurement with Q1 2026 benchmarks.
- [GEO Optimization Workflows 2026: How to Get Cited by ChatGPT, Perplexity, and Google AI Overviews](https://humanswith.ai/blog/geo-optimization-workflows-2026/) — A practitioner guide to GEO in 2026: QRAF content structuring, entity authority, GVS measurement, and 4-week sprint cycles using Profound, Authoritas, Semrush AI Toolkit, and human
- [Step-by-Step AEO Optimization Workflows for 2026: From Citation Audit to CSOV Measurement](https://humanswith.ai/blog/aeo-optimization-workflows-2026/) — A five-stage AEO workflow for 2026: citation gap audit, QRAF restructuring, schema sequences, CSOV measurement, and iterative optimization sprints grounded in HubSpot and Cloudflar
- [The 7 Core Components of a High-Performing AEO Strategy in 2026](https://humanswith.ai/blog/aeo-strategy-core-components-2026/) — The 7 measurable components of AEO in 2026: schema markup, AI crawler behaviors, platform citation mechanics, QRAF framework, E-E-A-T, technical hygiene, and Citation Share of Voic
- [How to Integrate GEO Into Existing SEO](https://humanswith.ai/blog/how-to-integrate-geo-into-existing-seo/) — A practical guide to integrating Generative Engine Optimization into your existing SEO program without rebuilding from scratch.
- [A Kenyan lending platform broke into the top 3 AI citations in 15 days. Here's how](https://humanswith.ai/blog/kenyan-lending-platform-top-3-ai-citations-15-days/) — How a Kenyan B2B credit platform went from zero AI citations to top 3 out of 1,216 domains in 15 days using content hubs, 158-query monitoring, and three distribution channels.

(Full blog at https://humanswith.ai/blog/. Russian mirror at https://humanswith.ai/ru/blog/.)

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