You can talk to us before requirements are fixed.
Guide: site from ¥800,000, maintenance from ¥50,000/mo|See pricing
microCMS × AIO/LLMO Content Operations
microCMS × AIO/LLMO Content Operations
Rankings still matter — and so does whether AI search surfaces your facts. As an official microCMS partner, we design the CMS and publish flow with that in mind.
Publish automation, structured data, GEO/LLMO structure, MCP when useful. Scope is cut per project.
Official microCMS PartnerFREE WHITEPAPER
A Practical Guide to AI Search Optimization (LLMO)
From what SEO, GEO, AIO, and LLMO actually mean, to what to do about it.
- What SEO, GEO, AIO, and LLMO each actually optimize
- The four stages an AI goes through before citing you
- Five structural reasons sites never get cited
PDF · 22 pages · instant download
FREE AI SEARCH DIAGNOSIS
Is your site structured for AI search? Check it free
Enter a URL and get SEO / AIO / LLMO scored out of 100. The SEO score shows instantly — no signup.
analyzer.pref.co.jp · Opens in a new tab
Common Challenges We Solve
- microCMS operations are taking too much time
- Manually setting SEO and posting to social media for every article
- Competitors are getting all the citations in ChatGPT and Perplexity
- Want your content cited in AI search (Google AI Overview)
- Need to efficiently manage hundreds or thousands of content items
- Want multilingual support but translation costs are a burden
- Want to make data-driven content strategy decisions
Benefits
Reduce Operations
Automate manual work around publishing, cutting content operations time by up to 80%. Your team can focus on content quality.
AI Search Citations
Auto-generate structured content that LLMs prefer, improving citation rates across ChatGPT, Perplexity, and Google AI Overview.
SEO × AIO Synergy
Structured data and E-E-A-T enhancement simultaneously improve traditional search rankings and AI search citations.
AIO-Ready CMS Architecture
To thrive in the AI search era, you need to design not just content, but the CMS architecture itself for AIO/LLMO. Preferred designs CMS structure with microCMS so content is easier for AI search to parse and cite.
AIO-Ready Architecture Design
Build site structures optimized for AI search (GEO) from the ground up. The Next.js + microCMS combination delivers semantic HTML and fast response times that AI crawlers can easily parse.
Q&A Knowledge Schema Design
Design dedicated schemas in microCMS for managing Q&A knowledge content that LLMs prefer to cite. Systematically manage high-citation formats like FAQs, definitions, and comparison tables.
Automatic Structured Data Injection
Connect microCMS webhooks with generative AI to automatically generate and attach JSON-LD (FAQ, Product, Organization, etc.) on article publish. The foundation for accurate AI crawler interpretation is built automatically.
Services
AI Content Agent Development
Integrate microCMS MCP Server with Claude API to execute content operations via natural language. Bulk updates and metadata inspections across thousands of entries in minutes.
- Natural Language Content Operations
- Bulk Updates at Scale
- Metadata Batch Inspection
- Claude API Integration
LLMO Content Automation Pipeline
Simply publish an article and AI-optimized SEO metadata, structured data (JSON-LD), OGP images, platform-specific social posts, and multilingual translations are generated automatically. Content is auto-converted into formats that LLMs prefer to cite.
- Auto JSON-LD Structured Data
- LLM Citation-Optimized Conversion
- Auto-generated OGP Images
- Multilingual & Social Post Generation
AI Content Review & Governance
Before publishing, AI automatically checks brand guideline compliance, legal conformity, and terminology consistency. It also calculates a GEO/LLMO quality score to ensure your content stays citation-ready for AI search.
- Brand Guideline Compliance
- GEO/LLMO Quality Scoring
- Terminology & Tone Audit
- Pre-publish Auto Review
Content Intelligence Analytics
Visualize content coverage, analyze competitive gaps, and track AI search citation status. Data-driven insights show exactly which articles to rewrite and what's missing.
- AI Search Citation Tracking
- Competitive Gap Analysis
- Rewrite Priority Recommendations
- Content Map Generation
Individual Areas
AIO-Ready Schema Design
Stop storing everything as one rich-text blob. Model definitions, FAQs, and comparisons as first-class fields AI search can cite.
Read moreAutomatic Structured Data (JSON-LD)
Publish an article and JSON-LD is attached automatically — built from the same fields as the page itself, so the two never drift.
Read moreContent Operations via MCP Server
Connect microCMS's MCP server to an AI assistant so audits, bulk updates, and inventory work happen conversationally.
Read moreLLMO Automation Pipeline
Publish Article
As usual in microCMS
Webhook Fires
Automatic trigger
AI Processing
JSON-LD, SEO, OGP, Translation
LLMO Check
Citation quality scoring
Delivered
Auto-distributed to channels
Implementation Process
Discovery
We assess your current microCMS usage, content workflows, and AI search status (citations, competitor comparison) to identify automation and improvement opportunities.
AIO-Ready Design & PoC
We design AI agents, automation pipelines, and schemas, then validate LLMO effectiveness with a small-scale proof of concept.
Build & Deploy
We build AIO architecture, AI agents, and automation pipelines in production, integrating them into your existing workflows.
Monitoring & Tuning
We continuously measure AI search citation status and support ongoing AI accuracy improvements and rule adjustments.
Technologies
CMS
AI / LLM
Structured Data
Frontend & Infra
Struggling with microCMS adoption or ongoing operations?
- Evaluating migration from WordPress but unsure of cost and effort
- Content updates and publishing take too much time each time
- Want your content cited by AI search engines like ChatGPT or Perplexity
Free consultation · Online meeting available · Reply within 1 business day
Related Services
Pricing guide
Prices are pre-tax guides and vary with scope, integrations, and post-launch operations. Formal quotes are free.
Related work
Projects close to this service. Those with challenge, scope, and stack described come first.
Case study株式会社Nature Innovation Group
傘レンタルアプリ「アイカサ」
Built the umbrella-sharing service from scratch in its early phase
Scope|デザイン / コーディング / システム開発
株式会社ペイミー
Payme（ペイミー） LPサイト
Scope|デザイン / コーディング / マーケティング
Case study学校法人松本学園（広島桜が丘高等学校・広島県瀬戸内高等学校）
学食モバイルオーダー
Students pre-order and pay on their phones, easing cafeteria queues and cash handling
Scope|デザイン / コーディング / システム開発
AI Search (AIO / LLMO)
What are LLMO and AIO, and how do they differ from SEO?
LLMO (AIO) is the work of making sure generative AI and AI search — ChatGPT, Gemini, Claude — understand your company correctly and describe it accurately. SEO is about ranking; LLMO is about whether an AI answer includes you as an option. Being recommended as a candidate tends to matter more for results than merely being cited as a source.
Can you check how AI tools currently describe our company?
Yes. We run the questions your buyers would actually ask ("which development firm is strong in X?", "how is company A rated?") and record whether you appear and how you are described. Where the description does not match reality, we trace it back to the wording on your own site and fix that. We can do a quick version of this in the first meeting.
How do you measure the impact of AI search?
No single metric captures it, so we combine several: the share of inquiries that report "found via an AI answer" in the how-did-you-hear-about-us question, branded search volume, the recommendation rate for a fixed set of prompts, and how closely AI descriptions match reality. Our own contact form asks that attribution question.
Where should we start with AI search?
Start by answering the questions your customers are likely to have, on your own site. Writing out 20–30 likely questions and answering them is already a solid first step. Next, rewrite vague claims ("we have deep expertise") into concrete facts: number of clients, years, industries, scope. AI can only quote what is stated specifically.
Does our CMS or content structure affect AI search?
It does. Structured, field-level content is easier for AI to reference, and you can reuse the same content as a retrieval source (RAG) internally. As an official microCMS partner we help design that structure and automate the operations around it. Sites with stale content lose both search evaluation and accuracy in how AI describes them.
Do we need llms.txt and structured data (JSON-LD)?
They are worth having: they make your site machine-readable for AI and crawlers. Our own site publishes llms.txt and per-page structured data. But they only expose what is written — if the content itself is vague, the markup will not help. We do both together.
Free consultation on microCMS adoption & content automation
We can start by sorting what to do first. We run businesses ourselves, so the conversation stays about labor and ops. Consultation and estimates are free.
Online meetings / reply by next business day / free consult & estimate