TL’DR
If you want to appear in ChatGPT, Google AI Overviews, Gemini, and other AI-powered search tools, stop focusing on publishing more content and start focusing on publishing more useful content.
According to research from Neil Patel Digital, the content most likely to appear in AI search results is:
- Original Research (82%) – Surveys, benchmark reports, customer data, and proprietary insights that nobody else has.
- Comparison Pages (76%) – Honest side-by-side comparisons that help buyers make decisions.
- Rankings & Best-Of Lists (57%) – Curated recommendations that explain strengths, weaknesses, and ideal use cases.
- FAQ Content (41%) – Direct answers to common questions that AI can easily understand and surface.
- How-To Guides (39%) – Practical content that helps users solve problems or evaluate solutions.
- Community Participation (28%) – Authentic conversations on Reddit, forums, and review sites that build trust and visibility.
The biggest opportunity today is creating content that AI can’t easily generate on its own. That includes:
✅ Original research and surveys
✅ Industry benchmark reports
✅ Free tools and calculators
✅ Comparison pages
✅ Buying guides
✅ Expert insights
✅ Customer data and trends
That doesn’t mean you should abandon foundational SEO content.
Pillar pages and educational content still help establish topical authority, support internal linking, and provide context for AI systems. Think of them as the foundation of your content strategy.
The winning formula for AI search looks like this:
Pillar Content + Original Research + Comparison Pages + Tools + FAQs + Expert Insights = AI Visibility
The brands most likely to be cited by AI won’t be the ones publishing the most content.
The AI Content Reality Check
Many marketers are still creating content like it’s 2018.
They publish:
- What is SEO?
- What is CRM software?
- What is content marketing?
- Beginner’s guide to X
The problem?
AI can answer these questions immediately.
The internet doesn’t need another definition article.
It needs original information.
Think about it this way:
If ten websites publish the same advice, AI doesn’t need all ten.
If you’re the only source of a particular insight, statistic, experience, or dataset, AI has no choice but to pay attention.
The Data Confirms It: AI Rewards Originality
This isn’t just theory.
Recent research from Neil Patel Digital surveyed 500 marketers and business owners to identify which content types perform best in AI-powered search experiences.
The results reveal a clear pattern:
| Content Type | Performance in AI Search |
|---|---|
| Original Research | 82% |
| Comparison Content | 76% |
| Rankings & Best-Of Lists | 57% |
| FAQs | 41% |
| How-To Content | 39% |
| Community & Forum Participation | 28% |
| Generic Blog Posts | 25% |
| Definition Pages | 22% |
| Opinion Content | 16% |
| Product Pages | 14% |
| Video Content | 2% |
What stands out isn’t just what’s winning.
It’s what’s losing.
The top-performing content types all have one thing in common:
They contain information that AI systems can’t easily generate on their own.
Original research sits at the top of the list because unique data creates a source that everyone else—including AI tools—must reference.
Comparison content ranks second because users frequently ask AI tools questions like:
- Which CRM is better?
- What’s the best alternative to HubSpot?
- Should I choose Shopify or WooCommerce?
These are exactly the kinds of buying-decision questions AI is increasingly being used to answer.
Meanwhile, generic blog posts and basic definition pages perform far worse because AI can already generate those answers instantly.
Think about it from the AI’s perspective.
If twenty websites publish nearly identical “What Is SEO?” articles, there’s very little reason to highlight any one of them.
But if one company publishes a survey of 1,000 marketers or a detailed comparison of competing tools, that information becomes far more valuable.
The lesson is simple:
The future of content isn’t creating more information. It’s creating information that only you can provide.
As Neil Patel’s team summarized in the report:
“Be the source. The content that wins in AI search is the content AI can’t write itself.”
And that’s perhaps the most important content strategy shift of the AI era.
For years, marketers focused on publishing at scale.
Today, the biggest opportunity is publishing what competitors—and AI—cannot easily replicate.
1. Original Research (The Highest-Value Content You Can Create)
If you only invest in one content type this year, make it this one.
Original research was the highest-performing content format in the Neil Patel Digital study, outperforming every other category by a significant margin.
Why?
Because AI systems need sources.
If your company creates original information, you become the source.
The mistake many businesses make is assuming they need a huge research budget.
You don’t.
In fact, most companies are sitting on valuable data without realizing it.
Build a Free Tool
Some of the best-performing content assets online started as simple tools.
Examples include:
- ROI calculators
- Website graders
- SEO analyzers
- Pricing calculators
- Cost comparison tools
- Savings calculators
- AI prompt generators
Tools do something powerful.
They create data.
Over time, that data can be aggregated into reports, trends, and industry insights that nobody else possesses.
Imagine publishing:
- Average website performance across 10,000 audits
- Most common SEO mistakes found in audits
- AI adoption trends across industries
- Conversion benchmarks by company size
Suddenly you’re not commenting on the market.
You’re documenting it.
Analyze Customer Data
Most companies already have information worth sharing.
Ask yourself:
- What patterns do we see?
- What mistakes are customers making?
- What benchmarks can we identify?
- What trends are emerging?
Those insights can become reports, studies, and annual research projects.
Run Industry Surveys
You don’t need 10,000 responses.
Even surveying:
- 100 customers
- 200 prospects
- 300 industry professionals
can create information nobody else has.
Publish Annual Benchmarks
Some of the most cited content online comes from benchmark reports.
Examples include:
- SEO benchmark reports
- SaaS conversion reports
- E-commerce growth studies
- AI adoption surveys
- Website performance studies
When you become the source of the data, AI systems suddenly have a reason to mention your brand.
2. Comparison Pages
This may be the most underutilized opportunity in AI search today.
People aren’t asking ChatGPT:
- What is SEO?
- What is a CRM?
- What is website hosting?
They’re asking:
- Which CRM should I choose?
- What’s the best alternative to HubSpot?
- Is Shopify better than WooCommerce?
- Should I use Showit or WordPress?
These are buying-decision questions.
And they’re exactly the types of questions AI systems are increasingly being used to answer.
That’s why comparison content ranked second in the Neil Patel Digital study.
The best comparison pages don’t simply list features.
They help people make decisions.
For example, comparison pages such as the Showit vs FastaSEO comparison do a great job of combining structured information, practical recommendations, feature breakdowns, use cases, and buyer guidance. That’s exactly the type of information AI systems can easily understand and surface when users ask comparison-based questions.
What Makes a Great Comparison Page?
The strongest comparison pages include:
- Honest pros and cons
- Feature comparisons
- Pricing comparisons
- Best-fit customer profiles
- Use-case recommendations
- Migration considerations
- Frequently asked questions
The brands that create these resources aren’t just ranking for comparison searches.
They’re influencing buying decisions at the exact moment customers are evaluating options.
3. Rankings and Best-Of Lists
AI tools are constantly asked for recommendations.
Examples include:
- Best website builders
- Best CRM software
- Best SEO tools
- Best accounting software
- Best project management platforms
These recommendation-style queries are becoming increasingly important because AI tools often summarize multiple options before presenting a shortlist.
Well-structured rankings and best-of content help position your brand within those recommendation sets.
The key is objectivity.
Readers—and AI systems—can usually tell when a list exists solely to promote the author’s product.
The strongest ranking content explains:
- Selection criteria
- Strengths and weaknesses
- Ideal use cases
- Pricing considerations
- Trade-offs
Good recommendation content helps users choose.
Great recommendation content helps users understand why.
4. FAQ and Answer-First Content
One of the easiest wins in AI search is improving how content is structured.
AI tools are built to answer questions.
Help them.
Many websites still bury answers beneath lengthy introductions.
A better approach is simple:
Question
How long does implementation take?
Answer
Most customers are fully implemented within 30–45 days.
Then provide context.
This format works because:
- Users get answers faster.
- Search engines understand content more easily.
- AI systems can extract information more efficiently.
Everyone wins.
This is one reason FAQ content continues to perform well despite the rise of AI.
Clear answers remain valuable.
5. How-To Content and Buying Guides
How-to content remains valuable, but its role is changing.
For years, marketers focused heavily on top-of-funnel educational content.
Examples:
- What is SEO?
- What is content marketing?
- What is website accessibility?
That content still has a place.
But increasingly, the most valuable educational content sits closer to the buying decision.
Examples include:
- How to migrate from one platform to another
- How to calculate ROI
- How to evaluate software vendors
- How to prepare for implementation
- How to choose the right solution
These topics attract people who are actively evaluating options rather than simply learning definitions.
As AI handles more introductory education, practical buying guidance becomes increasingly important.
6. Community Participation and User-Generated Content
One of the most overlooked opportunities in AI visibility isn’t content on your website.
It’s content that exists elsewhere.
Platforms like:
- Industry forums
- Review websites
- Community groups
- Discussion boards
have become increasingly influential because they contain real-world experiences.
AI systems often use these conversations to understand public sentiment, product strengths, weaknesses, and common customer concerns.
That doesn’t mean marketers should start spamming communities.
Quite the opposite.
Authenticity matters more than ever.
The brands that participate genuinely, answer questions, and help people solve problems are building trust signals that AI systems can recognize.
Sometimes the most valuable content asset isn’t a blog post.
It’s a reputation.
Don’t Abandon Pillar Content
After reading all of this, you might be wondering:
“Should we stop creating foundational content?”
Absolutely not.
Pillar content still plays a critical role in your content strategy.
1. It Establishes Topical Authority
AI systems still need to understand what topics your company is associated with.
Pillar content helps create that foundation.
2. It Supports Internal Linking
Your original research, comparison pages, calculators, and buying guides need somewhere to connect back to.
Pillar content often becomes the hub of your content ecosystem.
3. It Educates Buyers
Not every visitor is ready to purchase.
Many still need foundational information before they move deeper into the buying process.
4. It Creates Context
AI systems don’t evaluate individual pages in isolation.
They evaluate entire websites.
A strong library of educational content helps establish expertise around your core topics.
The difference today is that pillar content alone is no longer enough.
Think of pillar content as the foundation of a house.
You still need the foundation.
But original research, comparison pages, tools, calculators, and proprietary insights are what make the house valuable.
The New Content Formula
The brands winning AI search are increasingly following a similar formula:
- Pillar content
- Original research
- Comparison pages
- Rankings and best-of content
- Practical buying guides
- FAQ content
- Proprietary tools
- Expert insights
- Community participation
Notice what’s missing.
Volume.
The goal is no longer to create the most content.
The goal is to create the most useful source of truth.
AI can summarize information.
But it still needs sources.
The biggest opportunity isn’t becoming better at using AI.
It’s becoming the source AI relies on.
Closing Thought
For years marketers asked:
“How do we rank?”
Today, the better question might be:
“What can we publish that nobody else can?”
The companies that answer that question successfully won’t just rank in search results.
They’ll become the sources that AI systems cite, recommend, and trust.
And in the next era of search, that may be the most valuable position of all.
