AI Search Optimization

Search Engine Indexing vs. AI Real-Time Search Citation: What's the Difference?

OLRim Research Team

We explain the differences between how search engines like Google collect and rank pages versus how AI finds and cites data (RAG) when answering questions.

Indexing vs AI Retrieval — How search engines and AI find info

One-line answer: Traditional search engine indexing is like pre-creating a book's 'table of contents and index,' while AI real-time search citation is a process of quickly reading multiple books immediately after receiving a question and summarizing the necessary information along with 'sources.'

How Do Search Engines Find Information?

The process by which the search engines we use every day find websites and display them on our screens largely involves three steps. All steps must function normally for information to appear on a user's screen.

The first step is crawling (the task of roaming through countless web pages to collect new posts or images). Search engines send programs called robots. These robots travel the internet world much like a librarian collecting newly released books. The robots follow links on web pages to move to other pages. They copy new information discovered during this process and bring it back to the search engine's warehouse.

The second step is indexing (the process of organizing collected information by word and storing it in a massive database for easy searching). If collected books are simply piled in a warehouse, they cannot be found later. Therefore, the content of the books is read meticulously to classify titles, authors, and important keywords. Then, this information is registered in a search computer (database). If my website is not indexed, it will never appear in results no matter how many times my company name is typed into the search bar.

The third step is ranking (the process of listing the most relevant and high-quality pages in order when a user enters a search term). Search engines have hundreds of evaluation criteria. They evaluate how accurately the searched words match the content. They also calculate how trustworthy the website is. Based on this score, it is determined whether the site appears at the top of the first page or is pushed to the second page.

How Does AI Real-Time Search Create Answers?

Recently emerged AI search has added a new method called RAG (Retrieval-Augmented Generation: a technology where AI first searches and refers to reliable, up-to-date external data before creating an answer) to the traditional search method. If AI answers using only the knowledge it learned in the past, it may make mistakes by inventing false information. RAG is a safety device to reduce such mistakes.

The flow of AI search creating an answer is as follows: A user enters a question to the AI. The AI then understands the question and creates new search terms to enter into a search engine itself. It performs a real-time internet search using those terms. It quickly reads the latest documents or news articles resulting from the search.

After reading the documents, it extracts only the core content that perfectly fits the question. Finally, the AI writes a summary in natural sentences as if having a conversation with a person. At this time, it provides links to the original websites to prove which documents it read to write the answer. We call this a 'citation.' As a result, users get summarized answers and sources all at once without having to visit multiple sites themselves.

How AI Reads Text: Breaking It Into Pieces

When humans read a long text, they usually follow the overall flow from beginning to end. However, it is difficult for AI to read a long document all at once and perfectly remember all context. This is because AI has a limit on tokens (the smallest pieces of words that AI recognizes) that it can process at one time.

So, when processing long texts, AI uses a method called chunking (a technology that divides a long document into multiple pieces by paragraph or semantic unit to store and read). Hypothetically, let's say there is a 10-page company introduction. The AI cuts this document into square puzzle pieces, paragraph by paragraph or in units of a few sentences. Then, when a question comes in, it picks out and reads only the pieces most similar to the question from among the many puzzle pieces.

Due to these characteristics, the structure of paragraphs becomes very important when writing on a website. Hypothetically, imagine that a company's history, product prices, and refund policies are all mixed up within a single paragraph. When the AI picks up this piece, it will be confused about which information is the core. If a paragraph continues for too long or the context changes suddenly, information might be cut off in the middle. Therefore, to ensure AI cites your writing accurately, it is best to write clearly and concisely, containing only one core topic per paragraph.

Comparison: Search Engine Indexing vs. AI Search Citation

Let's compare the differences between traditional search engines and new AI searches in an easy-to-read table.

CategoryTraditional Search Engine IndexingAI Real-Time Search Citation
Main PurposeProvides a list of original website links for users to click and read directly.Provides a completed summary answer to a question along with supporting references.
Information Collection TimingCollects information by roaming the web in advance and stores it in a warehouse before a user searches.Searches for and retrieves the latest information in real-time as soon as a user asks a question.
Result FormatLists blue titles, short meta descriptions, and website addresses in order.Displays source citations with small numbers or link buttons alongside text written in a conversational tone.
Reading MethodComprehensively grasps the word frequency of the entire document and the overall structure of the website.Pieces together documents (chunking) and reads only specific paragraphs related to the question.
Optimization MethodUses overall Search Engine Optimization (SEO) techniques such as titles, descriptions, and link structures.Clarifies context to make it easier for AI to understand and utilizes Q&A formats.

How to Invite or Block AI Robots: robots.txt

It's not just human visitors who come to a website. Countless robots (automated information collection programs) visit day and night to collect information. An instruction manual is needed to tell these robots, "You may enter this page to take information, but do not enter that page as it contains personal information." The file that performs this role is robots.txt (a text file placed in the top-level folder of a website to list access rules for robots).

In the past, we only had to care about Google or Naver robots. However, as the AI era arrived, various robots sent by AI companies have appeared. Representative AI robots include:

First, GPTBot from OpenAI, the creator of ChatGPT.

Second, Google-Extended, used by Google to train its AI models.

Third, ClaudeBot from Anthropic, the creator of the AI named Claude.

Fourth, PerplexityBot, used by Perplexity, a service specialized in AI search.

What should you do if you want your carefully written articles to be cited as sources in AI answers? You must set the robots.txt file so that it does not 'Disallow' visits from these AI robots. Conversely, if you do not want your data to be read by AI, you can block them by specifying the names of these robots. Website administrators can directly control information exchange with AI through this file.

A New Guide for AI: The Rise and Limits of llms.txt

Recently, a new concept called llms.txt (a text file that summarizes a website's core information so that AI language models can read it easily without distractions) has been gaining interest among website developers. This is a guide made accessible by adding '/llms.txt' after the website address.

Normal web pages (HTML documents) are full of pretty designs for humans, complex menus, footers, and flashy advertising images. From an AI's perspective, these decorative elements are obstacles to reading the text. Therefore, the llms.txt file strips away all flashy designs and leaves only important text. It neatly lists the company's main services, contact information, price lists, etc., using Markdown (a lightweight language that decorates documents using simple symbols for bolding or creating lists). This allows AI to grasp the core of your site at once without misunderstanding.

However, there is a significant limitation. llms.txt is not yet a globally confirmed official standard rule. It is a method that started trending after being proposed by some developers. Therefore, while some AI services may actively look for and read this file, other AIs may ignore its existence entirely. Thus, you should not rely solely on this file at this stage. It is appropriate to use it only as one of the supplementary means to organize existing web pages cleanly.

Checking Your Website (Checklist)

Check whether your website is being read well by both general search engines and the latest AI through the items below.

  • [ ] Do results appear normally when searching for your company name or main products on general search engines like Google or Naver? (Index Verification)
  • [ ] When writing blogs or introduction texts, did you divide them into one core topic per paragraph so AI can easily read them in pieces?
  • [ ] Does your website's robots.txt file accidentally block major AI robots like GPTBot or PerplexityBot from visiting?
  • [ ] When important information like business hours or product prices changes, do you immediately update the website content? (AI finds the latest information in real-time.)
  • [ ] When using difficult technical terms from the industry, did you explain them simply with everyday words so that first-time readers or AI can understand the context?
  • [ ] Did you input information as actual text that machines can copy and read, rather than putting important text only inside flashy images?

Frequently Asked Questions

Can I skip search engine indexing if I want to be cited in AI search?

No. Search engine indexing must happen first. Most AI real-time search services do not roam the entire web on their own but rather find primary data based on the indexing results of existing giant search engines like Google or Bing. Therefore, your website must be registered in the warehouse (index) of general search engines for there to be a chance for it to be discovered by AI.

What if AI cuts only a part of my writing strangely and gives a wrong answer?

Because AI reads long text in paragraph units, it may misunderstand the preceding and following context. To prevent this, it is better to reduce the use of pronouns (this, that) when writing. It is safer to clearly repeat subjects and objects even within a single paragraph. You should write independently and intuitively so that the content of the preceding and following paragraphs is not too complexly intertwined.

If I allow AI robots in robots.txt, will all my information be used for AI training without permission?

Allowing AI robots does not always mean they are used only for training the AI's basic brain. In many cases, they are used to read documents on a one-time basis to create answers for users' real-time search questions and leave sources. However, the purpose may differ depending on the type of robot (whether it is a training robot or a real-time search robot). Therefore, selective allowance and blocking management are necessary according to the website administrator's judgment.

Will creating llms.txt guarantee top exposure in AI search?

No. As explained earlier, llms.txt is not yet a confirmed official standard. It only serves as a summary that helps AI understand a website a little more easily. There is no guarantee or official announcement that AI will prioritize showing your site just because you created this file. It should be understood as preparing one more kind guide, rather than a magic shortcut that guarantees exposure.

Summary

If traditional search engine indexing is the foundational work of categorizing the world's information neatly into a massive library, AI real-time search citation is a service that quickly reads the books in that library and creates excellent customized summaries for users. These two are not competing but are connected and working together like gears.

Although the way results are shown has changed significantly, the basic principle that machines must be able to accurately understand the text on your website remains unchanged. You should keep the door open so that AI robots can visit your site easily. And try writing concisely with a clear core in each paragraph. If you faithfully follow the basics of search engines while refining your writing slightly for the AI's reading method (chunking), your valuable information will be delivered more accurately and usefully to more users.

#Indexing
#RAG
#AI Crawler
#llms.txt

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