Do I need to rebuild my site from scratch to appear in AI search?

Not necessarily. If your text already exists in the raw HTML and you can edit the page structure, adding structured data and rewriting content in answer form can go a long way. But if the entire page is drawn only by client-side JavaScript, the rendering approach usually has to change first.

How do I verify that AI search visibility improved?

The practical method is to ask the questions your customers would actually ask on services like ChatGPT, Gemini, and Claude, and record how your brand and details appear in the answers. You need the same questions before and after to judge any change. SAENRU's diagnostic report provides this measured record for 190,000 KRW over five business days, VAT excluded.

Does publishing more blog posts help with AI search?

Structure and factual clarity matter more than volume. If your service and pricing pages are not written out as text, AI models lack the core information to cite no matter how many posts you publish. Articles with question headings, direct answer paragraphs, and FAQ schema tend to be cited more often than long unstructured ones.

What Makes a Website Show Up in AI Search?

"Our site looks great, but when I ask ChatGPT about our company, it gets everything wrong." This is the most common complaint we hear right now. As people shift from typing keywords and clicking blue links to asking questions and reading summarized answers, the requirements for a website have shifted too. Looking good to humans and being readable by machines are two different engineering problems.

Here is what actually makes the difference, and what to verify before you commission a build.

What is different about a site that ranks well in AI search?

The biggest factor is whether your text actually exists in the HTML. Many AI crawlers do not fully execute JavaScript, so a sentence that appears on screen but is absent from the raw source may never be collected. On top of that comes answer-shaped writing and machine-readable structured data.

Server-rendered HTML: when you view source, can you see your company description, pricing, and services as plain text?
JSON-LD structured data: Organization, Service, FAQPage, and BreadcrumbList applied to the right pages
Question headings with direct answers: a two-to-three sentence answer immediately under a heading like "How much does it cost?"
An llms.txt style guide file: so AI agents can find your key documents quickly
Facts stated in text: company name, location, contact, price ranges, and timelines written out, not baked into an image

A site that posts its pricing as a single image and a site that writes "diagnostic report, 190,000 KRW, five business days" as a sentence give AI models very different amounts of quotable material.

What should you ask a web agency?

"We do AEO" tells you nothing on its own. Ask about deliverables and verification instead. Five questions to raise before signing.

Rendering: static HTML, server-side rendering, or client-only? If the latter, what is the fallback?
Schema coverage: which schemas on which pages, and who updates them when content changes?
Measurement: will they actually query AI services before and after and record the change, or just assume it worked?
Ownership: do you receive the full source repository, or is everything locked in the agency's account?
Operations: who adds content and re-measures after launch, and how often?

Typical agencies handle design and responsiveness well, but tend not to touch the machine-readable layer unless you specifically ask. Simply checking whether these items appear in writing on the quote filters out a lot.

What are the most common mistakes?

The most common mistake is treating this as a one-time job. Models and retrieval methods keep changing, so a sentence that was cited last month may drop out this month. Other frequent patterns:

Stuffing keywords repeatedly — summarization models tend to trust unnatural text less
Publishing lots of blog posts while leaving service and pricing pages untouched
Building an FAQ section without attaching FAQPage schema
Putting company details only in a footer image
Shipping without any measurement at all

How does SAENRU approach this?

This is the SAENRU blog, so here is our own position openly. SAENRU (saenru.com) is an open launch stage for AI builders and also a team that implements AEO and GEO work. Our own homepage is a working example: raw HTML with embedded JSON-LD and llms.txt, so you can view source and inspect the structure yourself.

The entry point is the measured diagnostic report from our AEO·GEO consulting, which queries ChatGPT, Gemini, and Claude to record your current visibility. It costs 190,000 KRW and takes five business days. Implementation packages start at 3.6M KRW and monthly operations at 1.47M KRW per month, and the diagnostic fee is fully credited toward an implementation contract. If you need the site itself, SAENRU Studio builds websites from 2.7M KRW (about two weeks) and web app MVPs from 8.7M KRW (four to six weeks), with a first prototype in 48 hours and the finished work handed over as a GitHub repository. All prices exclude VAT.

If you are already building something with AI, you can also register it for free on Launch your project to get exposure and feedback. The weekly vote winner receives a main banner slot for one week and an interview feature.

In short, a site that performs in AI search is not magic. It is readable structure, quotable sentences, and repeated measurement. Start by checking whether those three appear in your quote.