The quality gate for AI-generated content
Why Dokeo exists
Dokeo is a pre-publish quality gate: per its own scoring methodology [S1], every scan runs the same deterministic checks used in production, across all 17 supported content types [S2], with no black-box review.
Why did we build a gate instead of another writing tool?
Write-time SEO tools optimize the draft, but nobody was checking the finished piece before it published. Dokeo fills that gap: block what won't rank or get cited, before it ships.
- The same draft always returns the same verdict, safe to block a CI pipeline on.
- Every FAIL names the specific check that failed and why.
- 100 free scans a month, no credit card, same gate as production.
Sources: [S1] Dokeo scoring methodology, /docs/checks. [S2] Dokeo pricing, /pricing. Current as of 2026.
Search didn't end. It split.
- • Rank for keywords, win Google blue links
- • Tools measure on-page SEO + backlinks
- • AI shows up once a month in analytics
- • Get cited, win ChatGPT / Perplexity / Claude answers
- • Tools need AEO + GEO scoring, not just keywords
- • AI citations are now the top referrer for many B2B sites
Dokeo is the gate for that split reality: SEO + AEO + GEO in one pass, including your own corpus - so more of what you ship is ready to rank and get cited, instead of discovering the miss weeks later.
What's in the gate.
Six surfaces, one engine. The same deterministic checks run everywhere. Wire whichever fits your workflow.
8 core + 26 type-specific checks
SEO, AEO, GEO across 3 engines, plus checks tuned per content type (email deliverability, landing page CTA, video hook pacing, and more). Each check cites the market benchmark behind its threshold.
17 content types
Blog, email, video script, social, newsletter, ad, landing page, AI output, API docs, changelog, incident report, and more.
Inline issue highlights
The exact sentence that failed each check, not a 10-page report. One-line fix per fail.
Custom rules per brand
YAML/JSON: no em-dashes in headlines, must end with CTA, brand voice denylist. Runs on every scan.
Slack/Discord + email alerts
Batch-scan a domain, get a card with pass/flag/fail counts and the worst offenders. Or email the full report.
CI-native + multi-LLM builder
GitHub Action for PR checks, pre-commit for local blocks, MCP for Claude/Cursor. Builder works with OpenAI, Gemini, Claude, custom.
From draft to ranked, in four moves.
Draft
AI agent, AI-assisted, or human-written. The gate doesn't know and doesn't need to.
Gate
Dokeo scores it ~5ms. Same input = same verdict. Pass goes through, Fail blocks the build.
Ship
Clean content goes live. Only content that passed reaches Google, ChatGPT, Perplexity, Claude.
Prove
AI crawler and citation tracking tied to each scan with Dokeo Watch. Score-vs-reality, per piece.
Dokeo vs the other tools in your stack.
| Other tool | Category | What Dokeo adds |
|---|---|---|
| Publish and hope / manual QA | Status quo | An automated five-severity verdict before publish - not after a ranking or citation miss. |
| Surfer / Clearscope / Frase | Write-time SERP tools | Different job: they help draft; Dokeo is the pre-publish gate (SEO + AEO + GEO + corpus). |
| Grammarly / Hemingway | Readability / brand voice | Grammar alone never blocks uncited content. Dokeo gates structure, citations, and brand-safety. |
| ChatGPT / Claude review | Ad-hoc LLM review | Same input, same verdict. LLM writes; Dokeo decides whether it ships. |
Gate, not another writing tool
Primary job is ship / no-ship - one of five severities - not keyword suggestions while you type. Surfer and Clearscope stay useful for drafting; Dokeo sits after the draft is done.
Pre-publish, not post-mortem
Block the bad piece before it ships. Stop discovering weeks later in a dashboard you weren't getting cited in. Web app, webhook, CI, pre-commit, MCP - same engine.
Honest about what's built
We're in public beta. We don't publish customer logos or testimonials until we have signed case studies. Integrations list what actually runs today, not a roadmap.
How we got here.
Started Dokeo
First version built as a 6-check gate for programmatic SEO traffic, because we couldn't find anything that understood answer-engine optimization.
Added AEO checks
After ChatGPT started eating organic search and our clients couldn't measure the impact, we shipped answer-engine scoring.
Added GEO + multi-engine
Perplexity citations became a top referrer. 3 engines, 17 content types, a full regression suite.
Public beta + market benchmarks
MCP server, custom rules, multi-tenant, credit system with 2x carry-forward, BYO-key builder. Every check now cites the industry study behind its threshold (Ahrefs, NN/g, Gong, Unbounce, and more).
Built by people who've shipped the thing.
Built go-to-market and content infrastructure at two AEO-space startups, closing $550K in revenue and sourcing $3.5M in pipeline through content and outbound systems. He ran the pipelines this product plugs into, and watched teams ship content that ranked nowhere and got cited nowhere by ChatGPT, Perplexity, and Claude. The old SEO tools could not see AI search, and no gate existed to catch the problem before publish. Dokeo is the gate he could not buy, so he built it.
About the lack of customer logos.
Dokeo is in public beta. We don't publish customer logos or testimonials until we have signed, scoped case studies. That's a policy we maintain deliberately. If you're evaluating Dokeo for an enterprise rollout, we'll connect you with a beta reference on request.