Kafkai
Kafkai Giken, Inc. · Marketing · AI Detection
Kafkai is an AI SEO plugin that feeds live keyword, backlink and Search Console data to Claude, ChatGPT or your own agent through MCP, then sorts it into what to write next.
About Kafkai
What Is Kafkai
Kafkai is an SEO data plugin for the AI client you already use. You ask a question in plain words about any website, and Kafkai supplies the numbers behind the answer: where the site ranks, which keywords it owns, who links to it, and which sites compete for the same searches. The reply arrives inside Claude, ChatGPT, Cursor or another client that speaks the Model Context Protocol.
The company behind it sits in Shibuya, Tokyo. Kafkai Giken, known as LaLoka Labs until May 2026, shipped its first AI article writer in 2020. Version 4 runs the other way round. It doesn't write, it hands your model real search data and the arithmetic, and your model does the thinking and the drafting.
Three limits matter before you pay. Kafkai doesn't watch rankings on a schedule, so nothing moves until you ask for a new research run. It doesn't promise traffic or positions. Search Console and analytics answers work only for a domain you've verified with a DNS record.
Getting Started
- Register a free account. You get 1,000 credits at signup, no card required, and they stay valid for 90 days.
- Connect the Kafkai MCP server to your AI client. Setup is a one-time job of roughly 30 minutes.
- Verify your own domain by adding one DNS record. Skip this step if you only want to look at other people's sites.
- Create a project with your site and each competitor you want to compare. That costs 500 credits for your site plus 350 per competitor.
- Ask your first question. Every response reports what the call cost, and each new research run stays in the project for later comparison.
Product Information
A quick look at Kafkai's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- SEO consultants who handle several client sites
- Content leads at small SaaS and media teams
- Solo site owners who already pay for an AI chat plan
Tasks
- Choosing the next article
- Finding pages that compete with each other
- Building a link prospect list
- Checking what a post did after publishing
Scenarios
- Monthly content planning
- Pitch and proposal work
- Post-publish reviews
Key features
Search data inside your AI
Kafkai is an AI SEO tool that answers from live search results instead of the model's memory. Ask who a domain competes with and you get the sites that rank for the same searches, their keyword overlap and a note on whether each one is a direct competitor or a portal. Your agent then explains the list the way you asked for it: a table, a shortlist or a draft.
Keyword and ranking lookups for any domain
Kafkai returns every keyword a site ranks for, with position and monthly search volume, and groups the same keywords by topic so you can plan pages rather than single posts. The same index powers competitor keyword analysis for any domain you name: your own site, a client's site or a site you saw yesterday. Checking one site is a normal use, not a trial.
Content gap and backlink gap lists
Two lists do most of the work. The content gap shows keywords competitors rank for and you don't. The backlink gap, which SEO tools call a link intersect, shows sites with a live link to your competitors and none to you. Both arrive with counts, so your agent can sort them by effort or by volume.
Search Console tied to a verified domain
Add one DNS record and your Search Console data answers through the same chat. You can ask which pages lost clicks, which searches sit close to page one, and which pages compete with each other. Nobody else's project can read that data, and Kafkai keeps the verified domain separate from public lookups.
The 4C framework
Every recommendation comes back as one of four moves: Compete, Catch-up, Consolidate or Complement. Compete covers topics where you and a rival both appear. Catch-up covers ground you've lost. Consolidate flags your own pages that overlap. Complement points at open topics beside pages that already work. The method is patented in Japan under Patent No. 7701764.
Draft handoff to WordPress
Your AI writes the article, and Kafkai sends it to your WordPress site as a draft, so a person still approves it before it goes live. The project keeps a record of what was published through it and how rankings moved afterwards. That closes the loop from keyword to draft to result without a second tool.
Pros and cons
Pros
- Live ranking, keyword and backlink data arrives in the chat client you already use, so there's no new dashboard to learn.
- Prepaid credits fit irregular work: a light month costs ¥62, a full site-and-competitor research session about ¥1,983.
- The 4C framework gives each recommendation a reason, which makes a content plan easier to defend.
- Verified Search Console access adds click and impression data that public keyword tools can't see.
- No bundled model means you keep your current AI subscription and swap models whenever you like.
Cons
- There's no scheduled rank tracking. If you want a daily position chart, you'll need a separate tool.
- Setup takes about 30 minutes and assumes you're comfortable editing an MCP client config, which will stop some non-technical users.
- Prices are in yen and include Japanese consumption tax, so buyers elsewhere pay a conversion fee and see an unfamiliar total.
- The tool stops at research and drafting. Publishing, internal links and on-page edits stay manual.
Frequently asked questions
Kafkai supplies search data to an AI agent. It returns rankings, keywords, competitors, backlinks and Search Console figures for any domain, then sorts the keyword set into four recommended moves.
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