How Will the Future of Search Change?

And What Should Companies Prepare for Now?

Let me get straight to the point.
The future of search is a world where AI generates answers, and companies or brands are cited and recommended as the basis for those answers.
To prepare for this change, companies need to implement AEO and LLMO in addition to SEO right away.

Has Search Changed from Finding to Asking?

Yes. It has already changed.

Common Changes in Search Queries

• ❌Difference between LLMO and SEO

• ⭕How to ensure ChatGPT correctly understands and cites your services?

In AI search, users ask in question form,
and AI integrates multiple sources to return a single answer.

What matters at this point is

whether your company is used as a reliable basis in that answer.

Three Structural Changes Happening in the AI Search Era

1. Decisions Are Made Before Clicking

In Google SGE, ChatGPT, and Perplexity,
answers are completed without viewing search results.

→ Companies not displayed are as good as nonexistent.

2. Evaluation Criteria Shift from Backlinks to Semantic Understanding

LLM evaluates the following:

• Comprehensive coverage of topics

• Consistent use of terminology

• Clarity in definitions, comparisons, and procedures

• Structure reusable in other contexts

3. Brands Are Understood by Mention Volume × Context

LLM understands companies based on
the context in which they are mentioned and the topics they are discussed with.

Understanding the Differences Between SEO, AEO, and LLMO at a Glance

---

How Do LLMs Determine Trustworthy Sources?

Key Signals LLMs Reference

• Consistent Definition Statements ("What is...")

• Comparisons, Options, Frameworks

• Specificity Including Numbers, Periods, and Outcomes

• Expertise Spanning Multiple Pages

What Should Companies Start With Now? (Practical Steps)

Step 1: Visualization from an AI Perspective

The first necessity is
understanding how your company appears from an LLM perspective.

• What appears when asking ChatGPT about your company name

• In what context is it discussed compared to competitors

Step 2: Redesign by Topic

Not just single keywords,

• Main Topics

• Related Concepts

• Comparisons, FAQs, Case Studies

require content design that semantically bundles them.

Step 3: Write in a Structure Easy for AI to Cite

• Present the answer at the beginning

• Use bullet points, tables, and definition statements

• Include question formats like "In case of..." or "Difference from..."

Differences Between Traditional SEO and LLMO

Diagram of SEO vs. LLMO
Place a comparison diagram of Search→Link→Click and Question→AI Answer→Cited Source here

Why Are Few Companies Engaging in LLMO Now?

• Metrics are not yet standardized

• Few visualization tools available

• AI search traffic is "hard to see"

That's why now is the time for first-mover advantage.

What Umoren.ai Offers

• Quantification of AI recognition status through LLM visualization tools

• Semantic optimization article creation by AI engineers

• Cross-design for ChatGPT / Gemini / Perplexity

• Improvements based on Semantic Score expected by LLM

👉 For details

• Umoren.ai Platform

• Optimization Services

Frequently Asked Questions

Q. Is LLMO a Replacement for SEO?

No. It is an evolution of SEO. LLMO only functions with a foundation of SEO.

Q. How Soon Can We See Results?

In many cases, an increase in mentions in AI answers is observed within 2-3 months.

Conditions for Companies to Prepare for the Future of Search

• Having a structure understood by AI

• Demonstrating expertise by topic

• Engaging in a loop of visualization → improvement → verification

For those who want to know more specifically how their company is viewed by AI,

and create a state of being chosen in the LLM era.

This can be achieved with Queue Inc.'s Umoren.ai.