- Cross-Media Strategy (Blogs / Social Media / Q&A Platforms / External Media, etc.)
- Multi-Format & Multi-Language Support (Video / Audio / Structured Data)
- AI-Optimized Content (FAQ Format / Conversational UI Optimization)
AIO (AI Optimization) / LLMO Measures
These measures aim to position your company as a top choice for users during conversations with chatbots, AI modes, or other chat functions within AI tools.
Consult experts on next-generation AIO strategies

How Search Behavior Is Changing with AI
Before
➡️ Traditional Search
Keyword-based
Now
AI search
Conversation based
How Search Works Today
Before
Search Engine Results
Now
1. Search Engine Results
2. AI Mode
3. AI Chat Tools
What is AIO (AI Optimization)?
Definition and Purpose
AIO (AI Optimization) is a new digital marketing strategy built on traditional SEO (Search Engine Optimization), aimed at ensuring that a company’s information is recognized and cited as a reliable source by evolving generative AI and AI search features (such as SGE).
Goal
The goal is to be recognized by AI as a “trustworthy source” and selected as a reference in AI-generated answers. This goes beyond conventional ranking strategies, focusing on optimizing the company’s entity itself.
Key Differences Between SEO and AIO
| Item | SEO (Traditional) | AIO (Next-Generation) |
|---|---|---|
| Main Goals | To gain organic search rankings. | To be cited as an AI information source. |
| Targets for Optimization | Queries (search terms) | Entities (things or concepts) |
| KPI | Search rankings and traffic | AI citation rate |
4 Purposes and Benefits of Being Selected by AI
In AI searches, make your company recognized as a trusted information source and dramatically increase your AI citation rate.
Ensure your brand information appears in the “new prime locations” such as AI snapshots and other AI search results.
Build customer touchpoints using multimodal information, including not only text but also images and videos used by AI.
Quickly implement strategies aligned with AI-era competition principles to gain a strong advantage over competitors.
Maximizing Touchpoints × Leveraging LLMs: Communication Strategy in the AI Era
Maximizing Touchpoints × Leveraging LLMs (AI-Era Communication Design)
Integrated Content & Technology Strategy (Traditional SEO + Next-Generation Adaptation)
- Entity-Based Keyword Strategy (Optimized for LLM Understanding)
- Technical SEO (Structured Data / Core Web Vitals, etc.)
- E-E-A-T Enhancement (Expertise, Experience, Authoritativeness, Trustworthiness)
- PR & Brand Strategy (Media Exposure / Mentions / Increase in Branded Searches)
Existing SEO Assets
- Past Search Traffic Performance (Google Evaluation)
- Backlinks / Citations / Topical Authority
- Existing User Base
AIO Execution Process: 3 Phases and 6 Steps
AIO measures consist of three phases: "Strategy Planning," "Execution," and "Evaluation & Expansion.“
Phase I: Strategy Planning
Diagnosis & Analysis
Identify weaknesses in AI exposure and clarify AIO direction by comparing with existing SEO issues.
Entity Design & Keyword Clustering
Systematize concepts and keywords to design contexts that are easily recommended by AI.
Strategy Planning
Plan multimodal content and exposure strategies across multiple media.
Phase II: Execution
Execution
Rewrite content using FAQs, design schema markup, and distribute content across multiple media.
Phase III: Evaluation & Expansion
Evaluation & Review
Monitor KPIs (SEO + AIO) and AI citation rate, and optimize performance.
Improvement & Expansion
Make improvements and expand areas based on evaluation results to increase exposure as an AI-recommended candidate.
Core Strategy: Details of Entity Design and Optimization
Concept-Based Design
Redesign the company’s core strengths, products, and services as “entities (concepts)” that AI can easily understand.
Key Mapping & Scoring
Identify entities involved in AI response exposure and match them with internal and external data for scoring.
Structured Data & Schema Integration
Optimize entity information as structured data (Schema Markup) to improve AI understanding accuracy.
KPIs and expected results
AI Citation Rate
Measure and improve the percentage of your content cited in AI search results, quantifying your brand’s trustworthiness in AI.
Brand-Related Impressions/Clicks
Directly measure traffic and awareness from AI snapshots and SGE, linking them to tangible business outcomes.
Entity Recognition Score
Evaluate a unique score that shows how accurately and reliably AI search engines recognize your entities.
Expected Final Outcomes
- Increase the future value of digital assets in the AI era.
- Gain an early advantage in the AI search market ahead of competitors.
- Improve the performance of traditional SEO measures and create synergistic effects.
- Adapt to new customer journeys via AI.
AIO Service Pricing & Value
Start from 1,000USD per month
*Pricing varies based on scope and requirements
Price Factors
- Number of entities & keywords
- Channels to optimize
- Content format requirements
- Number of backlinks / PR …
Entity Research & Strategy
Define core & sub-entitiesBuild keyword clusters
SEO Tech Foundation
Technical SEO implementationSchema & E-E-A-T setup
AIO Execution
Multi-modal, multi-channel contentAuthority & backlink building
Monitoring & Reporting
SEO + AIO performance reporting
AIO Service Workflow
Ready to start your digital strategy in the AI era?
AIO is not just an extension of traditional SEO. To establish new competitive advantages, iYaku Partners’ expert team will provide clear and easy-to-understand support.
Contact us