Introduction

Stop Guessing What AI Search Wants. Use the Data for More intelligent GEO & AEO

June 3, 2026

By James O'Loughlin

AI search visibility should not be a guessing game. GEOGrow analyzes real prompt results, citation patterns, and brand-specific AI search behavior to show what ChatGPT, Gemini, Claude, Perplexity, and Google AI actually cite and what content your brand should create next.

For years, digital marketing was built around one big question:

How do we rank higher on Google?

That question still matters. But it is no longer the only question that matters.

Today, buyers are asking ChatGPT, Gemini, Claude, Perplexity, and Google AI for recommendations, comparisons, summaries, and buying advice. They are not just searching for links anymore. They are asking AI systems to tell them who to trust, what to buy, which companies to consider, and how different options compare.

That shift changes the job of marketing.

SEO was about optimizing your website for search engines.

GEO — Generative Engine Optimization — is about optimizing your brand for AI understanding, trust, citation, and recommendation.

And to do that well, you need to know what AI search engines actually consume.

We Analyzed What AI Platforms Cite

GEOGrow has analyzed over 1 million prompt results, more than 100,000 LLM scans, and over 869,000 web citation events across major AI platforms.

That gives us a real view into what AI search engines cite when they answer real-world prompts.

And the data shows something important:

AI platforms do not rely on just one kind of content.

• They cite homepages.
• They cite product/service pages.
• They cite general website pages.
• They cite blogs.
• They cite best-of lists.
• They cite comparison pages.
• They cite Reddit threads.
• They cite YouTube videos.
• They cite review platforms.
• They cite documentation.
• They cite news and press.

In other words, AI search visibility is not just about having a better blog or adding a few FAQs.

It is about building a complete brand footprint that AI can understand, verify, and trust on the internet.

What ai search engines crave and how to feed them

What AI Search Engines Crave

AI systems are trying to answer confidently. To do that, they need sources that make their job easier.

• They need clear explanations.
• They need structured information.
• They need proof.
• They need consistency.
• They need third-party validation.
• They need comparison context.
• They need real-world language from customers and communities.

This is why vague marketing copy does not work well in AI search.

A page that says “we are the leading provider of innovative solutions” gives AI almost nothing useful.

But a page that clearly explains who you serve, what you offer, what makes you different, what outcomes you create, how you compare, what customers say, and what proof supports your claims gives AI something it can use.

AI search engines crave content that is easy to understand, easy to cite, and easy to recommend.

GEOGrow can help you build and track all of this content for the internet

Platform Data Is Helpful. Brand-Specific Data Is Better.

Looking at platform-wide citation trends helps us understand the bigger picture.

For example, we can see what types of content AI platforms tend to cite most often across all GEOGrow prompt tracking. That gives us a strong baseline for GEO strategy.

But the real power comes when we break the data down for a specific brand.

Every brand has its own AI search fingerprint.

For one brand, AI platforms may rely heavily on the homepage and core website pages. For another, best-of lists and third-party rankings may play a bigger role. For another, blogs, comparison pages, Reddit threads, or YouTube videos may be shaping the answer.

Here is an example citation breakdown for one brand:

Content Source

Share of Citations

Homepage

23.1%

Best-of / Listicle

20.5%

Website Page

18.1%

Blog / Article

15.4%

Product / Service Page

6.8%

Comparison / VS

5.1%

Reddit / Forum

3.2%

YouTube / Video

3.1%

Social Profile

2.3%

Documentation

1.1%

Review Platform

0.9%

News / Press

0.4%

This kind of data tells us much more than “make more content.”

It tells us what AI is already using.

It tells us what sources are influencing the answers.

It tells us whether owned content is doing the work, whether third-party sources are shaping the narrative, and where the brand has gaps.

Every AI Platform Behaves Differently

Another important point: not every AI platform consumes content the same way.

ChatGPT, Gemini, Claude, Perplexity, and Google AI may all answer similar buyer questions, but they often cite different sources.

One platform may lean more heavily on homepages and core website content.
Another may cite listicles and comparison pages more often.
Another may surface Reddit, YouTube, review platforms, or documentation.

That matters because a generic GEO strategy is not enough.

If you want to win in AI search, you need to understand which platforms are mentioning your brand, which platforms are ignoring you, what sources they trust, and what content needs to exist to improve your visibility.

GEOGrow helps brands see those differences clearly.

From Data to Content Strategy

The biggest mistake brands can make right now is guessing.

Guessing what content to write.
Guessing which prompts matter.
Guessing what competitors are doing.
Guessing why AI recommends one company over another.

GEOGrow replaces that guesswork with data.

The platform tracks how your brand appears across AI search engines. It shows which prompts you win, which prompts you lose, which competitors appear instead, what sources are cited, and what types of content are influencing the answer.

Then it helps guide the content strategy.

If AI is citing your homepage often, we may need to improve your brand positioning, entity clarity, and proof points.

If listicles are driving visibility, we may need a third-party citation and digital PR strategy.

If comparison pages are missing, we may need to create clear “vs” content that explains how you differ from competitors.

If Reddit or forums are appearing, we may need to understand the customer language, objections, and narratives shaping AI answers.

If product or service pages are underrepresented, we may need better structured pages that directly answer buyer questions.

If reviews are weak, we may need to improve reputation signals and review content.

This is how GEO content should be created: not from a blank page, but from real AI search behavior.

The Platform Guides What to Build Next

GEOGrow is not just a reporting tool.

It is a decision engine for AI visibility.

The platform helps brands move from analysis to action by identifying the content, sources, and signals AI search engines need in order to understand and recommend them.

That may include:

Service pages
Product pages
Location pages
FAQ content
Comparison pages
Best-of content
Blog articles
Case studies
Review-driven content
Reddit-informed content
YouTube support content
Documentation
Third-party citation opportunities

The goal is not to create more content for the sake of content.

The goal is to create the right content, based on what AI platforms are already showing us they consume.

The New Rule of Visibility

The old rule was simple:

Rank higher in search.

The new rule is bigger:

Become the brand AI trusts enough to recommend.

That requires a complete GEO strategy built on data, content, structure, proof, and ongoing measurement.

AI search engines are already influencing buying decisions. The brands that understand what AI platforms crave — and feed them the right signals — will have a major advantage.

GEOGrow gives brands the data to make those decisions.

Know what AI is citing.
See what your competitors are winning.
Create the content AI needs.
Track the results.
Improve the answer.

That is how brands win in AI search.