AI Writing: How to Mathematically Win Over AI

What if an AI chat window popped up first thing when you turned on your computer? A world where you find products and make purchases through conversations with AI instead of typing keywords into a search box. Going even further, a world where you walk down the street wearing smart glasses, having real-time conversations with AI about everything you see. Things that used to only happen in movies are now becoming everyday reality.

Daily life in the AI search era (A scene from the movie 'Her')

Until now, whether customers visited an offline store or a website, their brand experience was directly shaped by the brand's tangible and intangible assets.

But now we've entered an era where the entire brand experience—from awareness to purchase—can be completed through conversation with AI alone. This means the web is no longer just a space for humans. It's being redefined as a space for AI that learns to provide accurate answers to users. Web pages are now taking on greater significance as learning spaces where AI, acting as brand representatives, absorbs the messages brands want to convey to customers.

That's why our Answer Global team argues: We no longer need CopyWriting that captures human hearts—we need AI Writing that captures AI's "heart."

What is AI Writing?

AI Writing is a concept first defined by the Answer Global team. It's a technique that transforms existing text into a format that AI can best understand and learn from, based on the semantic map that AI has formed through pre-training.

If CopyWriting is the art of persuasion that appeals to human emotions and desires to drive purchases or actions, AI Writing is the science of mathematically increasing the probability that AI will cite or mention your content.

AI Writing is Based on How AI Generates Results

When a friend says "What's for dinner," we naturally think of words like [tonight?] [should we eat?] [should I bring?]. With just 2-3 words, we can predict what comes next. This is the basic operating principle of generative AI.

Generative AI has learned almost everything on the internet (books, articles, websites, blogs, etc.). It remembers entire conversations (or thousands of words of text), grasps the context, and responds to user questions with the most probable words.

For example, if we say "Once upon a time" to a generative AI, here's how it works:

This is how AI generates results by rapidly repeating 'predicting just the next word' hundreds or thousands of times.

Word prediction model-based AI is actually a fairly old idea. GPT's innovation was added to create today's generative AI.

GPT's innovation lies in the 'Attention' mechanism. Attention is a technology that, when predicting each next word, scans the entire input sentence again and assigns 'importance scores' in real-time to determine how important each word is for the current prediction. Thanks to this, today's generative AI can produce quality results by referencing everything without missing the content at the beginning, even when sentences get long.

AI Writing reverses AI's core principle of 'probability-based word prediction' that we just explained. It optimizes our content so AI can better understand and cite it.

AI Writing Case Study

So does AI Writing actually produce meaningful results? AI search services and Google's search engine select documents in similar ways. Considering this, we verified our hypothesis on Google's search engine.

To share the results upfront: after applying AI Writing, content that had dropped out of search results rose to rank #2.

AI Writing Hypothesis-Verification Process

The test subject was a "Must-Read GEO (Generative Engine Optimization) Article Collection" content piece.

Article with AI Writing applied

This content ranked 14th when uploaded on August 12th, but dropped out of search results after August 13th. We verified whether applying AI Writing to the existing title would improve rankings for the target keyword 'GEO optimization.'

AI provides documents most suitable for user queries. When users search for 'GEO optimization,' we rewrote the title to increase its relevance to the desired answer: 'GEO optimization definition.'

Using our internally developed AI Writing solution, we extracted 100 candidate titles and selected the one with the highest optimization score, applying it on August 24th.

The scores below represent the optimization scores between each sentence and 'GEO optimization definition' on AI's semantic map.

Copy candidates compiled through the solution for AI Writing application

Title change from original to new through AI Writing

AI Writing Application Results

Immediately after applying on August 24th, the content entered the first page at rank #8, and by September 7th—two weeks later—it successfully entered the top 5.

www.narr.ai Google Search Console data (Aug 12 - Sep 8, 2025)
Filter: Page (https://www.narr.ai/blog/geo-article-collection), Search query (GEO optimization)

As of October 23rd, it maintains rank #2 for the 'GEO optimization' keyword.

GEO optimization keyword Chrome incognito search results

Through this, our team verified that AI Writing is effective for improving Google search rankings. Based on the similarity between Google's search engine and AI's document selection criteria, we are now applying AI Writing strategy across all our GEO projects.

We'll Demonstrate AI Writing: The Technical Solution for AI Search Optimization

For effective GEO response, we need to reference how companies historically responded to SEO. Even in the early days of SEO, search algorithms weren't public. Companies that proactively built SEO methodologies and know-how in their respective domains monopolized search engine marketing results. GEO is progressing in the same context. Considering that AI search will become mainstream, companies that monopolize AI search results through proactive GEO work will gain enormous marketing advantages.

GEO (Generative Engine Optimization) for AI search optimization cannot be addressed by basic website SEO setup alone. Abstract approaches like publishing 'quality content' or 'good content' are also insufficient. A technical/mathematical approach to AI-friendly text conversion based on how AI works—AI Writing—is needed.

The Answer Global team conducts GEO projects based on our AI Writing solution and AI response visibility tools. If you're curious about our team's GEO strategy, please contact us through the link below. We'll demonstrate our solution and help you design your GEO strategy.

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