SEO production is slow, expensive, and inconsistent. Our AI SEO Agent runs the full pipeline — keyword research, content production, multi-critic review, publishing — end-to-end, with an SEO expert in the loop on quality control and exceptions, at roughly 1/12th the cost of a US mid-level SEO specialist.
This agent runs this website. Every article you read here was published through the same pipeline. Deployed for Shoe IT since early 2026.
Built for B2B companies and agencies that need consistent organic content output without in-house SEO headcount.
Gen 3 of 5 — component of AI Agents
Our AI SEO Agent runs a closed production loop: keyword research, editorial brief, content draft, eight-critic quality review, publish, analytics review — then the cycle repeats against updated data.
The agent is configured to your brand voice, audience profile, and KPI targets. Each month it mines Google Search Console for ranking opportunities (plus Yandex Webmaster for RU-market deployments), generates an updated content plan, and executes against it. Built to compound organic visibility over time, not deliver a one-off content sprint. The same AI-powered SEO workflow produces every article on this site.
10 articles per month, 2,000–3,000 words each, multi-critic gated, voice-aligned, and optimized for intent. The AI Writer Agent — our draft-production specialist — is included in the retainer. Every draft passes eight automated critics and a human SEO expert review before it ships.
| Critic | What it checks |
|---|---|
| SEO | Keyword placement, density, meta tags, internal links, schema |
| Language | Grammar, tone, brand voice consistency, em-dash discipline |
| E-E-A-T | Expertise signals, trust, factual honesty, author credibility |
| User Intent | Search intent match, content type, FAQ coverage |
| Readability | Sentence length, paragraph structure, scannability |
| Commercial | CTAs, conversion path, pricing accuracy, cross-navigation |
| Domain Expert | Accuracy of domain claims, architecture integrity |
| Brand Voice | Tone alignment, messaging consistency, language style |
| SEO Expert (human) | Final quality review and sign-off before every publish |
We mine GSC monthly, surface ranking opportunities, and update the next month's content plan based on what's working.
We document every workflow step, every critic check, every brief structure. You can audit what runs and why — we walk through it in the free consultation.
Sergey Tikhonchuk (15-year digital agency founder) leads the specialist layer. Our SEO expert reviews every draft for quality before publishing, and handles edge cases the agent flags — below-bar scores, intent mismatches, ambiguous keyword calls. Nothing ships without a human sign-off.
We scope your content goals, brand voice, and KPIs.
Like any new hire, the agent needs onboarding: brand voice configuration, audience profile, KPI targets, and CMS access. We run this setup before the first article starts.
The full pipeline runs end-to-end on a real article in your stack.
10 articles per month (2,000–3,000 words each), monthly analytics review, next-month content plan.
From $750/month — 10 articles, 2,000–3,000 words each Setup: $2,000 one-time (knowledge base configuration, voice calibration, KPI setup)
Compare: a mid-level in-house SEO specialist runs approximately $9,000/month real cost (base ~$70–75K/year + payroll taxes + benefits + workplace overhead)
What you get: - Roughly 1/12th the cost of a US mid-level in-house hire - AI Writer Agent included — keyword research through published article, one retainer - Agent runs 24/7; exception review on business days - Methodology used on every article on this site - No payroll taxes, no HR overhead - Two-week start
If the first article doesn't meet your quality bar, we revise until it does.
The AI SEO Agent owns the full pipeline: keyword research, brief generation, content drafting, multi-critic review, publishing, and monthly analytics. The AI Writer Agent is the draft-production specialist within that pipeline — it takes a completed brief and produces a reviewed draft. If you want the full system from keyword to published article, you need the SEO Agent. If you already have a strategy and editorial direction and need high-quality draft production only, the Writer Agent is the right fit.
Brand voice samples (existing content or a style guide), an audience description, and target topics or seed keywords. CMS access for publishing. Setup takes one to two weeks — we configure everything before the first article runs.
Two weeks from kickoff. Week one: knowledge base setup and voice calibration. Week two: first article runs through the full pipeline and is ready to publish.
A mid-level in-house SEO specialist in the US costs roughly $9,000 per month in real terms — base salary around $70–75K per year plus payroll taxes, benefits, and workplace overhead. The agent retainer starts at $750 per month, roughly 1/12th of that cost.
What you get:
- Roughly 1/12th the cost of a US mid-level in-house hire
- Agent runs 24/7; exception review by human expert on business days
- Methodology used on every article on this site
- No payroll taxes, no HR overhead
- Two-week start
Yes — the free consultation covers the brief structure, the eight critic gates, and how the agent rebalances against your KPIs. We show real briefs and real critic reviews from production runs, not slides. For broader context on how AI agents work for business, read What Is an AI Agent? or 5 Generations of AI in Business
By design, no agent we sell is fully autonomous. Our SEO expert reviews every draft for quality before it ships, and handles exceptions: drafts that score below 7/10, intent mismatches, sensitive topics requiring manual review, ambiguous keyword calls. Default staffing: Ksentra-side SEO expert, included in the retainer. Optional swap: we train your in-house SEO person or contractor to handle this layer, which lowers the retainer and raises client involvement. This is not a limitation. AI agents are scoped narrowly on purpose so they execute reliably. The human handles what falls outside that scope.
Claude Code as the execution runtime (hooks, automation, subagent dispatch); Claude and GPT-4-class models as the underlying LLMs depending on language and task. Custom eight-critic review system. Data ownership option: brand voice configs, KPI definitions, brief structures, and produced content can stay in your repository or CMS — no vendor lock-in. If you leave us, you can run a slimmed-down version of the methodology independently. We walk through the architecture in the free consultation.