You can talk to us before requirements are fixed.
Guide: site from ¥800,000, maintenance from ¥50,000/mo|See pricing
GEO × Headless CMS / AIO / LLMO
GEO (AI Search Optimization) × Headless CMS
More people start with AI Overview, ChatGPT, or Perplexity. Ranking well in classic search still helps — but if AI cites someone else, you may not show up in the answer.
GEO is work that makes your facts easier for generative AI search to cite. We bake that structure into headless CMS design (e.g. microCMS), not only after publish.
We treat SEO, GEO, and LLMO as one content-foundation problem — not three disconnected projects.
FREE 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 cited by ChatGPT and Perplexity? 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
Why Headless CMS × GEO
Headless CMS ships content over APIs, so structured data and sync for AI search are easier to attach. GEO then is not only a copywriting afterthought.
Content API Optimized for AI Crawlers
Headless CMS separates frontend and backend, enabling flexible content delivery via API. This allows you to design structures that AI crawlers can easily parse, maximizing GEO effectiveness.
Schema Design to Improve LLM Citation Rates
Designing microCMS content schemas in LLM-friendly formats like Q&A, FAQ, and definitions lets you build GEO optimization into the content creation process itself.
Auto-Attach Structured Data via Webhook
Triggered by article publish webhooks, generative AI automatically generates and attaches JSON-LD (Schema.org). Keep all content AI-search-optimized with zero manual effort.
Common Challenges We Solve
- Search traffic is declining despite traditional SEO efforts
- Your information doesn't appear in AI search results
- Competitors are getting all the citations in ChatGPT and Perplexity
- You're unsure how to approach AI Overview optimization
- Using microCMS but haven't addressed GEO/LLMO optimization
- You want to integrate SEO and GEO strategies together
Benefits
AI Search Citations
Get your content cited in Google AI Overview and ChatGPT search, establishing new traffic channels beyond traditional search results.
SEO Synergy
GEO strategies directly strengthen your SEO foundation, allowing you to improve performance across both search channels simultaneously.
Minimize Ops Cost with CMS Integration
Automation via headless CMS webhooks keeps virtually all additional GEO work at zero extra effort.
Services
AI Citation Optimization (GEO)
We optimize your content to be cited and referenced across major AI search engines like Google AI Overview, ChatGPT, and Perplexity. We design citation-friendly content structures and topic strategies to boost your AI search visibility.
- AI Search Citation Audit
- Citation-Optimized Content Design
- FAQ & Knowledge Base Development
- Source Authority Enhancement
Structured Data & E-E-A-T Enhancement
We implement Schema.org structured data to help AI engines accurately understand your content. We also strengthen your site's E-E-A-T signals comprehensively. We build systems that automatically attach JSON-LD via headless CMS webhooks on article publish.
- Schema.org Structured Markup
- Auto JSON-LD via CMS Webhook
- Author & Organization Profile Setup
- Expertise-Demonstrating Content
LLMO Content Optimization
We restructure your content to become what LLMs want to cite. By incorporating clear Q&A structures, quantitative data, and original insights, we create pages that are both AI-friendly and genuinely valuable to readers. We integrate with microCMS schema design to systematically manage Q&A knowledge content.
- LLMO-Focused Content Rewriting
- Q&A Format & Definition Structuring
- Statistics & Original Data Integration
- microCMS Q&A Schema Integration
AI Visibility Monitoring & Analytics
We continuously monitor your presence in AI search results and visualize the impact of our strategies. We track citations and ranking changes across Google AI Overview, ChatGPT, and Perplexity, analyzing competitive gaps to drive ongoing improvements.
- AI Search Citation Tracking
- Competitor AI Visibility Analysis
- Monthly Reporting
- Improvement Strategy Planning & Execution
SEO vs GEO vs LLMO
| Traditional SEO | GEO (Generative Engine Optimization) | LLMO (LLM Optimization) | |
|---|---|---|---|
| Target | Google/Bing search results | AI Overview, ChatGPT, Perplexity | ChatGPT, Claude, Gemini and other LLMs |
| Goal | Higher ranking positions | AI citations and recommendations | Inclusion in LLM training data and answers |
| Evaluation | Backlinks, keywords, UX | Information accuracy, structure, authority | Reliability, originality, comprehensiveness |
| Content | Keyword-optimized articles | Clear definitions, Q&A, data-backed claims | Primary sources, expertise, structured knowledge |
| Technical | Meta tags, Core Web Vitals | Structured data, E-E-A-T, Schema.org | RAG-ready, vector search, API exposure |
* GEO and LLMO are not replacements for SEO — they build upon your SEO foundation to add AI search and LLM optimization.
Process
Discovery
We learn about your business, target keywords, current SEO efforts, AI search competitive landscape, and headless CMS usage.
Current State Analysis
We audit your content's citation status across major AI search engines, identify gaps and opportunities, and create a prioritized action plan including CMS integration.
Implementation
We execute structured data implementation (CMS webhook integration), LLMO content rewriting, E-E-A-T enhancement, and more — always designed to complement your existing SEO.
Monitoring & Optimization
We continuously track AI search citations, validate results, and iterate. Our approach adapts flexibly to algorithm changes across AI search engines.
Tools & Technologies
Analytics
Structured Data
Headless CMS
AI Search Monitoring
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.
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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.
You can talk to us before requirements are finished.
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