Question 1

What’s the difference between SEO and AEO?

Accepted Answer

SEO is about ranking at the top of a search results page so people click your link. AEO is about getting your products mentioned *inside* the answer itself when someone asks ChatGPT, Gemini, or Claude — so they’re picked directly, without a click.

Question 2

I’m already good at SEO. Do I still need AEO?

Accepted Answer

Yes. Ranking #1 on Google or Naver doesn’t guarantee you’ll show up in AI answers at all — they’re two different surfaces. The brands that run SEO and AEO together are the ones staying ahead as customers shift to asking AI.

Question 3

How much does AEKO cost?

Accepted Answer

AEO isn’t a one-time project — AI answers and the competitive landscape shift constantly, so ongoing monitoring and optimization are what keep your visibility up. AEKO is offered as a subscription with Starter, Pro, and Enterprise plans. Plans differ by number of connected domains, tracked prompts, markets analyzed, and AI platforms covered — pick the tier that matches how far your brand reaches.

Question 4

How do I measure whether it’s working?

Accepted Answer

AEKO tracks two sides: visibility metrics (how often your brand is mentioned, ranking position, share of voice in AI answers) and outcome metrics (AI-driven traffic, sessions, and conversions). You don’t just see that AI mentioned you — you see how much revenue that visibility actually produced.

Question 5

What is included in AI Marketing Early Access?

Accepted Answer

Pro and Enterprise teams can connect an OpenAI Ads account, sync a product feed, and prepare campaign drafts from product and customer context. Drafts stay paused until a user reviews and activates them.

Question 6

What exactly is AEO (AI Engine Optimization)?

Accepted Answer

AEO (AI Engine Optimization), also called Answer Engine Optimization, is the practice of optimizing your brand and products to appear in AI-generated answers from engines like ChatGPT, Claude, Gemini, and Perplexity. Key factors include structured data quality (JSON-LD), llms.txt files, content citability, and brand authority signals. As consumers increasingly ask AI directly instead of searching, AEO is becoming essential for commerce.

Question 7

What is Agentic Commerce?

Accepted Answer

Agentic Commerce is the next evolution of e-commerce where AI agents autonomously discover, evaluate, and purchase products on behalf of consumers. As AI assistants handle more shopping decisions, brands need to be visible and accurately represented to these AI agents. AEO (AI Engine Optimization) is the foundation for Agentic Commerce readiness.

Question 8

How do AI engines decide which products to recommend?

Accepted Answer

AI engines recommend products based on training data, real-time web citations, structured data quality, brand authority, and content relevance. Key factors include JSON-LD product schemas, llms.txt files, review data, and how well product information matches purchase intent. Each AI engine weighs these factors differently, and recommendations vary significantly by market and language.

AI recommends your products.
Revenue follows.

Shoppers ask AI what to buy. See how your products appear in the answers they receive.

AI discovery visibility

Purchase consideration

Accurate product context

Make product information easier to read, verify, and cite.

Structure product details clearly

Give AI citable pages

Connect real customer language

Run AI discovery, advertising, and measurement in one workflow.

Connect AI discovery and advertising with real commerce data.

Store-connected

Cross-border intelligence

Customer context

AI Marketing

See the sources AI cites — then get your content into them.

Content ideas vs competitors

Create with your own AI

Publish without a monthly article cap

Connects to the stack you already run.

Frequently Asked Questions

Own your brand’s visibility in the AI era.

AI recommends your products.Revenue follows.