AI-assisted marketing management · since 2025
Every buyer Googled first. Now they ask AI first. We put you in that answer.
When a buyer asks AI "who is the best in my category?", your brand should be the answer. We measure where each of the nine engines names you today, ship the third-party evidence that earns the next citation, and re-scan every week so you see the lift, not a slide.
Cited across
- ChatGPT
- Claude
- Perplexity
- Gemini
- Grok
- DeepSeek
- Kimi
Why now · the category event of 2026
Search has shifted. Marketing has not. Now is when it costs you.
800 million ChatGPT MAU. AI Overviews cut #1 Google CTR by 61 percent in 2025. Buyers ask AI which brand to pick — and AI returns one answer, not ten links. Companies that establish AI visibility in 2026 will be the default recommendation for years; those who wait will pay ten times more to catch up — or never will.
The shift
Search moved to AI engines
Roughly 94 percent of AI citations come from third-party sources, not from your website. The SEO playbook of optimising one site to rank on Google is structurally misaligned with how AI assembles answers.
The gap
Marketing teams are still tuning Google
A typical mid-market stack pairs a tracker subscription with three to five freelance writers — the two sides do not talk. Gaps the tracker surfaces never reach the writers fast enough to ship in the same week.
The window
Visibility in 2026 sets 2028 defaults
AI engines are forming their opinion of your category right now. When the model decides who to recommend tomorrow, it draws on the citation graph that exists today. Companies that move first lock the answer position.
AEO · GEO definitions
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.
The practice of becoming one of the few names ChatGPT, Perplexity, and Google AI Overviews return when a buyer asks what to choose.
The broader discipline of building and structuring the reviews, mentions, and trusted publications models draw on to recommend a brand.
How it works in 2026
From invisible to cited in three steps.
No SDR queue. No proposal pipeline. An engineer from our AI search team owns the loop, week by week.
- Measure. Hermes scans the nine engines every Monday. You see where your brand appears, where rivals win, and which gaps are closeable in the next six weeks.
- Orchestrate. Hermes ranks each gap by closeability and category leverage. You sign off; an engineer scopes the content, schema, and outreach for the trusted sources AI quotes.
- Execute. ContentOS produces the research articles. Website Agentic ships schema and crawler hygiene. The week-four re-scan shows the lift; you double down on what moved the metric.
What this changes: measurement and execution sit in the same dashboard. The engineer running the loop sees the gap and ships the fix in the same week, instead of writing a brief for a freelancer who will draft the article next month.
The platform · three inseparable modules
One closed-loop platform — three modules competitors leave open.
Measurement alone tells you the problem. It does not solve it. Hermes shows the gap. ContentOS writes the third-party evidence AI quotes. Website Agentic makes your site readable and trusted by every crawler.
Brain · Module 1
Hermes Visibility
9 LLMs scanned weekly. AI Readiness Score per engine. Citation source map — who quotes whom for your top queries. Competitor benchmark.
Muscle · Module 2
ContentOS Engine
Research, brief, and variant pipeline. Refine and factcheck loop with knowledge-graph verification. EN and RU pipelines today; Arabic next.
Muscle · Module 3
Website Agentic Optimization
Schema.org generation. llms.txt drafted and maintained. AI-crawler allowlist for 12 plus engines. CMS migration for WordPress, Webflow, Shopify.
Proof · not a lucky case, a repeatable playbook
Three markets. The same loop. The same result.
Seven cases on /cases — three growth proofs and four baseline audits. The three growth proofs below ran in three deliberately different categories: our own brand globally, auto retail in Russia, and B2B SaaS in North America.
Case 01 · dogfood · 3 months
Humanswith.AI — 2 to 1,000+
1,000+ citations · 15.4 percent AI mention share · five to ten times ahead of every competitor in the category at the end of month three.
Case 02 · B2B SaaS · 8 weeks
Birdview PSA — 0.9% to 21.5%
23× ChatGPT visibility · cited alongside Monday.com, Wrike, Asana. 100 mapped queries, Decision-stage focus, 8 published pieces.
Case 03 · auto retail · 6 weeks
GAC — AI-blind to all 9 platforms
9,042 reads across 9 articles · format-driven content (calculations, comparisons, "should I buy?" guides) outperformed volume.
Four additional cases (Whitewill Dubai real estate, Gorbilet tourism, Nonton retail, LS ELECTRIC manufacturing): all seven cases →
Pricing · from $497/mo
Your competitors are already getting cited by AI. Here is how to join them.
A typical mid-market stack spends $5–9K per month on freelancers and SEO tools for slow, uneven output. Scale at $2,497 delivers at least five times the throughput, running every week with quality controlled at every step.
Questions buyers ask
Frequently asked questions
How is GEO different from SEO?
SEO optimises your website to rank on Google. GEO builds the third-party evidence — reviews, mentions, and trusted publications — that AI systems cite when they recommend a brand. In 2026 your buyers ask AI engines first; SEO alone leaves you out of that answer.
Which AI engines do you track?
Nine: ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews, Yandex Neuro, Alice, and DeepSeek. Each is scanned weekly.
How fast do results appear?
Our growth-proof cases reached top-answer citation in six to eight weeks. The dogfood case ran for three months from 2 to a thousand-plus citations. Diagnostic baseline cases ship execution-quarter results.
Do I have to replace my marketing team?
No. Most clients reallocate budget they already spend on freelancers and SEO tools — a typical mid-market stack costs $5–9K per month for slow, uneven output. Scale at $2,497 delivers at least 5× the throughput, running every week.
Which languages do you support?
English and Russian pipelines today. Arabic pipeline next.
Does the method work for my industry?
We have shipped it in B2B SaaS, auto retail, premium real estate, tourism, retail, and industrial manufacturing — seven case studies on /cases. The strategy call shows the closeable gap in your category before you sign.
Founders · Dubai + Tbilisi
Six years operating. The rebuild took two of them.
Gregory Shevchenko founded the agency in 2019. Thirteen years in full-service digital marketing — scaled multiple clients from $1M to $5–10M ARR. Codes Hermes Core himself.
Ekaterina Lebedeva joined when she saw the company transforming from full-service marketing into AI search infrastructure. Fifteen years in management consulting across Tech and Telco. Brought the consulting and commercial discipline to make the rebuild scale.
Ready to be the brand AI recommends?
Companies that own AI answers in 2026 will be uncatchable by 2028.
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 tier fits — and honestly which would not make a measurable difference for your category.