AI Agents, Automation Pipelines & GEO Engineering for B2B
Engineer-run AI integration: agents that read your data and act, content pipelines that publish themselves, and sites that language models cite. Fixed scope, fixed timeline, working results — built in one working session at a time.
What I do
AI Agents & Automation Pipelines
The flagship offering: autonomous agents that process leads, produce and publish content, triage incidents, and answer from your own data — running inside your infrastructure, with human-in-the-loop gates where it matters. This site itself is the demo: articles here are written, audited, and cross-posted by the pipeline described in our case study.
| Engagement | Timeline | Price |
|---|---|---|
| AI Readiness Sprint | 2 weeks | on request |
| Agent Pilot (1 process) | 4–6 weeks | on request |
| Agent Platform | quarter-scale | on request |
GEO / AEO
Make ChatGPT, Perplexity, and AI Overviews cite your site: structured data, llms.txt, answer-first content, AI referral measurement.
RAG & Knowledge Bases
Turn docs, wikis, and product catalogs into a retrieval layer your assistants query accurately. Chunking, re-ranking, evaluation.
Headless Web (Next.js / Astro)
Fast, content-driven sites and storefronts wired to any backend through clean APIs. Built for SEO and AI crawlers alike.
AI Chatbots
Assistants grounded in your real data: sales qualification, support triage, internal helpdesks. Messenger + CRM integrations.
People find your site.
Do AI engines?
ChatGPT, Perplexity, and AI Overviews are already answering your customers’ questions. Check in 30–60 seconds whether your site is ready for AI search — and what to fix first.
- ⚡ Load speed — PageSpeed and server response time
- 🔍 SEO basics — meta tags, headings, structure
- 🏷 Schema.org markup — how robots "read" your site
- 🤖 AI-search readiness — llms.txt, robots.txt, and the GEO index
Need a deeper review? A detailed 80-point audit with prioritized fixes.
Book the deep audit →Your site’s readiness for AI search: speed, SEO, structured data, and machine readability.
Who you work with
I'm Evgeny. I've been shipping software since 2005 — from CMS-era websites to agent systems — and since 2024 I've run my own production AI stack: agents write, audit, and publish on this very site. You get studio-grade quality at a solo operator's cost.
You talk directly to the engineer who writes the code and makes the decisions. Everything I build, I write about publicly — the wins, the bugs, and the honest numbers. If an approach isn't production-ready, you'll read it on this blog before you pay for it.
in software
in business
articles shipped
GEO grade held
Latest articles
Practical engineering notes — the Russian blog has 300+ pieces, the English mirror is growing.
A CRM That Does Its Own Bookkeeping: From AI Agent Session to Client Invoice
How our Obsidian-based CRM turns AI agent sessions into time-tracked tasks, and those into invoices and statements — automatic time tracking and billing with zero manual entry.
A Live GEO Auditor and an AI Article Pipeline That Ships Nothing Below an A
We built a live GEO auditor that scores any site for AI-search readiness in 30 seconds — then wired it into our AI article pipeline as a quality gate.
Getting Cited by AI Search: A Practical GEO Checklist for ChatGPT, Perplexity, and AI Overviews
Generative Engine Optimization in practice: answer capsules, fact density, Schema.org, llms.txt, and AI crawler access — a working checklist from a live audit tool.
How to Build an SEO Tech Writer Skill for AI Agents: A Complete Guide
Turn expert writing rules into a reusable skill file for coding agents — and get publish-ready, schema-marked technical articles in one request.
Frequently asked questions
What does an AI agent actually do for my business?
An agent takes over a recurring process end-to-end: qualifying inbound leads, drafting and publishing content, triaging support tickets, assembling weekly reports from your data. Unlike a chatbot scripted with decision trees, it reads context, picks the right tool or data source, and acts — with human approval gates at the points you choose.
Where does the data live? Is it safe?
Agents run inside your infrastructure by default — your servers, your databases, your API keys. For companies with strict data policies we deploy open-weight models self-hosted. Nothing about your data needs to leave your perimeter for the automation to work.
How do you price AI projects?
By engagement: a fixed-scope AI Readiness Sprint (2 weeks), an Agent Pilot for one process (4–6 weeks), or a quarter-scale platform build. Every engagement starts with a scoped estimate — the free GEO audit on this page shows the kind of concrete, measured work you can expect.
Can you work with our existing stack?
Yes — agents integrate through APIs with CRMs (Bitrix24, HubSpot, custom), databases (PostgreSQL, MySQL), messengers (Telegram, WhatsApp via connectors), and n8n/Make flows. The pipeline that publishes this blog runs on Git + a static-site engine + social APIs, the same pattern ports to your infra.
What is GEO and why does my site need it?
GEO (Generative Engine Optimization) makes your site the source that ChatGPT, Perplexity, and AI Overviews cite when they answer questions in your niche. It is built on classic SEO plus machine readability: structured data, llms.txt, AI crawler access, and answer-first content. The audit widget on this page scores exactly that — free, in about a minute.
How fast until we see results?
For GEO work, first visibility gains typically appear 30–45 days after the technical foundation is fixed — retrieval systems need time to re-index. For agent pilots, the process is usually live within 4–6 weeks, with before/after metrics agreed at kickoff.
Start a conversation
Describe your process or your site — I'll come back with a scoped plan, not a sales pitch. Working remotely with clients worldwide; replies within one business day.