AI SEO Specialist: organic search that brings leads, not traffic for its own sake
It builds real keyword clusters from Wordstat, fixes technical SEO, writes content around search intent, and structures internal linking. We measure the outcome not as abstract traffic but as the leads and calls the site actually generates. A strong SEO foundation almost always carries over into AI answers too — the fine-tuning for ChatGPT, Perplexity, and Google AI Overviews is handled by a separate AI GEO Specialist on our team.
Why SEO isn't bringing leads even as traffic climbs
The classic "pay a monthly retainer and watch the visits chart" model is built so that the real business value is almost impossible to verify: the chart creeps upward while the phone stays silent.
Work you can't see into
A monthly report of screenshots and a line about "improved behavioral factors." What was actually done — and why leads didn't grow — you can't tell from it.
Traffic grows, leads don't
The agency brags about rising visits and rankings for any keyword, relevant or not. For the business it's a metric for the report's sake: it adds no calls and no leads.
Keywords gathered once and forgotten
The keyword set was built when the site launched and never touched again. Demand shifts and new search phrasings appear — but the pages for them go years without an update.
What the AI SEO Specialist does
It connects to Yandex Webmaster, Search Console, and Metrica — and, where possible, to your CRM or call tracking — so it works from actual leads and calls, not clicks.
- Builds a keyword set from Wordstat with real search volumes and maps queries to pages
- Finds queries you show up for but get no clicks on, and reworks those pages
- Writes titles, descriptions, headings, and copy around search intent, with no keyword stuffing or filler
- Builds internal linking and a content plan around the shape of demand, not "articles about everything"
- Watches indexing, rankings, and technical health: speed, duplicates, broken links, Schema.org markup
- Measures the outcome by leads and calls from Metrica and your CRM, not by impressions for a pretty report; and it lays the SEO foundation that GEO builds on — the fine-tuning for AI answers is handled by a separate AI GEO Specialist
How we launch it
Audit and access
We connect Webmaster, Search Console, Metrica and, if available, your CRM or call tracking — so we count leads from day one, not just visits
Map the demand
Wordstat keyword research, a look at competitors in the results, page-by-page priorities
Fix and build
Meta tags, structure, internal linking, new pages and articles matched to intent
Monitor and grow
We track rankings, indexing, and organic growth alongside the trend in leads and calls — because that's the real result
The first months — with a dedicated manager
The AI is not launched “as is” and left unattended. For the first 1–3 months a dedicated manager runs your process: tunes the system to you, checks every result and fixes mistakes — while the AI learns on your real data in parallel. Nothing goes live without a human in control.
Dedicated manager
A dedicated specialist runs your process by hand together with the AI: tunes it to your documents and rules, checks every result, corrects mistakes. The system learns on your data.
Autopilot or ongoing support
Once quality is stable, you decide: move the process to autopilot (cheaper, the AI works on its own, the manager on standby) or keep permanent support.
Ongoing oversight, if you want it
For critical processes — primary documents, paid ads, contracts — many keep the manager for good: they backstop it, develop scenarios and own the result.
This removes the main fear of automation — “what if it makes a mistake”. Until the AI has proven its accuracy on your tasks, a human is accountable for the result. We agree the format and cost of support around your process.
Where your data is stored
Your Metrica, webmaster, and — if you connect them — CRM or call-tracking data are your commercial statistics, and often the personal data of inquiries as well. Analysis runs on our infrastructure in Russia (compliant with Federal Law 152-FZ); access is granted to separate accounts with minimal rights and can be revoked at any time. Your data is never shared with third parties or used for other clients.
More about a local neural network on your own server →FAQ
Related reading
We cover this topic in more depth on the blog
Keyword Research With AI: Hours Instead of Weeks
AI pulls query data, strips the junk and clusters keywords by intent, mapping them to pages — and refreshes monthly. A person keeps the strategy and the priorities.
What Is GEO (Generative Engine Optimization)?
GEO means shaping content so ChatGPT, Perplexity and Google AI Overviews quote you directly instead of just ranking you in a list. How it differs from SEO and what drives citability.
How to Get Cited by ChatGPT and Perplexity
A practical guide to AI search visibility: how to write content AI systems actually quote, why crawler access and llms.txt matter, and how brand authority feeds into citations.
llms.txt Explained: What It Is and Do You Need It
llms.txt is a plain-text map of your site for AI models, sitting next to robots.txt. What it does, how it differs from robots.txt and sitemap.xml, and whether it is worth adding.
A free SEO audit of your site
Send us your site's URL — we'll run an audit and show you which queries are losing you traffic and leads right now.
Let us try it on your data
Describe the task and send a couple of typical documents or examples — we will show how the system handles them, before any contract.