If you're running content for a B2B SaaS company in 2025, you've probably been asking yourself this question:

"I get that LLMs love structure, original content, etc. I'm already doing that with my content. But does each LLM differ in what type of content it quotes frequently?"

We all know that each search engine has its quirks—its own way of deciding what shows up and how. But when it comes to LLMs there's been almost no clarity on how different content types perform across ChatGPT, Gemini, and Perplexity.

Content marketers have been hoping something sticks, while most are actually-

We wanted to do something about this issue. And we did.

What We Did

We took the LLM query data of around 75 SEO clients, split across company size and niche. This data covered ChatGPT, Gemini, and Perplexity—the three platforms everyone's trying to crack.

Then we analyzed, carefully, how content performance varies by platform and type.

The dataset included more than 100,000 traffic impressions. Big enough to spot real patterns in what LLMs prioritize, which page types convert, and what content formats actually work.

Before we get to the juicy results, let's talk about why we even did this.

SEO and Content Need More Direction in 2026

We’re all at various levels of sophistication, but AI has completely taken over generic content creation at scale. There are few content writers left who think up 3000-word guides entirely on their own anymore.

This has made unique, targeted content the need of the hour. Not only does it provide genuine value to the user, it also plays a role in positioning your brand properly to LLMs like ChatGPT.

In a recent interview, TripleDart’s co-founder Manoj laid it out clearly: branding matters more than any other metric when it comes to catching LLM attention. 

But here's the problem. Even within valuable content, we're looking at a wide spectrum of formats and intents. Content and SEO teams have been running around like headless chickens, not knowing what to prioritize.

The result has been mixed. Scattered efforts without strategic focus, and a whole lot of…misunderstandings.

For example, many people emphasised listicles as hacks to rank in LLMs. Our analysis found that they do have a big volume–but ultimately, their conversion rates are too low to have an impact.

TL;DR: Content teams aren’t fully sure of what type of content is working where. And that’s what we aim to solve with this analysis.

Sessions and Leads: ChatGPT Leads by a Big Margin

It’s not really surprising that ChatGPT had the most sessions. But look closer at the data: 

• ChatGPT converts at a rate that is 140% more than Perplexity and 40% more than Gemini
• Even though Gemini saw fewer sessions than Perplexity, it converts at a 75% higher rate
• ChatGPT is crushing it on conversion too! The platform captures over 80% of all sessions and generates more than 90% of all leads.

Here's the full breakdown:

If there was ever a clear signal on where to focus your content efforts, this is it.

Which Page Type Works in What LLM

Conversion rates swing quite a bit across platforms, depending on the page type. And we've got some clear winners.

Conversion Rate Heatmap by Page & Platform

Tools and Templates Perform Exceedingly Well Across Platforms 

For both ChatGPT and Gemini, templates convert more than any other type of content. This makes total sense when you think about user intent.

People are increasingly using LLMs for tasks like drawing up plans and strategies. Because LLMs are phenomenal at giving comprehensive, structured outputs. These kinds of pages let the platforms showcase exactly what they're good at.

Look, LLMs excel at organizational tasks. They might not fare great when you ask them research-heavy questions that require going to external sources (hence, more room for error). But for organizational skills, they outperform humans.

On the other hand, tool pages hit high rates in ChatGPT and Gemini but don't perform well in Perplexity. This could be because queries in Perplexity are less conversational. A user might expect interactive help on performing calculations from ChatGPT or Gemini, and a more direct answer from Perplexity.

So much for providing them with the answer immediately!

Now, let's look at some platform-specific insights.

For ChatGPT: Location Pages Outperform Blogs, Registration Pages Are Golden Tickets

With all the investment going into optimizing blog articles for LLMs, they are getting outdone by direct location-based pages. 

Pages like "best contract management software in Mexico" nail the vernacular context and feel more relatable to the reader. Location-specific pages pull in more sessions while matching blog articles' conversion rates. An additional reason for their strong performance could be that users are skeptical about going with non-local options.

But when it comes to actually winning leads, registration-type pages convert multiple times higher than any other page despite pulling fewer sessions. These pages sit at the bottom of the funnel, unlike blog articles or location pages that serve the research phase.

This bottom-of-funnel dominance continues with "Get Started" pages, which also rack up high conversion rates. 

This trend should be particularly concerning if you are investing only on SEO an not GEO. LLMs have the added capability of actually assisting users with their actions, not just pointing them in a direction.

So if ChatGPT is where you really want to rank on, you know where to double down!

ChatGPT Top Performers

For Gemini: Template Pages are High-Converting

Google's GenAI platform shows some patterns similar to ChatGPT. Here too, location-based pages outperform blogs—in fact by an even bigger margin—when it comes to traffic.

This isn't surprising. Google still has stronger grassroots connections than most LLMs, and that shows in how location-based queries perform.

What is (somewhat) surprising is that template pages on Gemini convert at around 20%. That's the highest conversion rate across all LLMs and all content types in our entire dataset. This truly shows how valuable templates are becoming.

Circling back to our earlier point about Gemini: despite having lesser sessions compared to Perplexity, its platform hosts some high-performing pages. For example, tool pages convert at over 6%, which is double that of ChatGPT and 6 times that of Perplexity!

Gemini Top Performers

For Perplexity: Blogs Get Good Traffic, But Conversions are Low

The platform that gives you direct answers has been a lifesaver for users doing research. But that same feature seems to be playing a role in lower conversion rates.

In a recent interview, CEO Aravind Srinivas mentioned that Perplexity has an entire team dedicated to improving the "Related" feature. This causes the user to spend more time in the platform, ask more queries—and hopefully—convert.

This reflects Perplexity's core challenge: while it's great at serving up information quickly, that efficiency might actually work against conversion objectives. When you fully satisfy a user's query, they don't always feel the need to click through and engage externally.

Perplexity Top Performers

Deep Dive Into Blog Content: Listicles Generate High Traffic

One of the most common use cases of LLMs is to suggest things - products, agencies, locations, and so on. As a result, listicle content outperforms all other types in terms of traffic - especially in ChatGPT:

But while listicles do bring in sessions, their conversion rates are pretty underwhelming. This makes sense—readers are still in research mode, not ready to convert yet.

How this plays out over time is worth watching. Listicles are nowadays almost completely automated. Will LLMs start giving users inconsequential results because of this? Only time will tell.

Long Form Content Performs Well in Gemini and Perplexity

ChatGPT is increasingly being used for agentic tasks—which isn't really what users prefer Gemini and Perplexity for.

These platforms excel at research synthesis and information aggregation. As a result, long form content performs better in Gemini and Perplexity than ChatGPT. This is also why comparison pages don't hit the same highs here as they do on ChatGPT.

Cross-Platform Winners and Losers

Let's quickly put it all together:

Home pages are the top traffic driver on all platforms. Pretty much a no-brainer—they're the entry point for users discovering your brand through LLM interactions.

Action-oriented pages like Registration, Get Started, Demo, and Download pages have exceptional conversion rates. They catch users right at those critical decision moments.

Resource content like tools, templates, and product pages consistently show good lead generation across the board. They provide clear value, and that drives conversions.

The Path Forward For Content Teams

Content teams need to start thinking platform-wise, based on their goals.

Are you more focused on providing resources to your ICP and converting them to experiential aspects? Then ChatGPT and Gemini should be your focus.

Would you rather be a trusted thought leader in the research journeys of your prospects? In that case, bring Perplexity into the mix.

Here are some quick wins to focus on:

For ChatGPT 

This should be your primary platform:

1. Double down on conversion pages: Expand your Registration, Get Started, and Demo content. These are your strongest performers.
2. Optimize your Tools section: They already convert at 3.17%, which means there's established traction to build on.
3. Scale pricing content: With 1.42% CVR and good volume potential, pricing pages are a solid bet for scaled impact.

For Gemini

This must be your secondary platform:

1. Definitely create Templates and resources: That 20% CVR has really strong potential staring you in the face.
2. Prioritize Tools pages: 6.5% conversion rates are exceptional—create more tool-related content.
3. Invest in long-form educational content: 3.57% CVR shows there's real appetite for depth here.
4. Reduce listicle production if this is your target: Gemini has 0% conversion rate for listicles!

For Perplexity

This is the trickiest platform of the lot:

1. Expand Demo offerings: 9.09% CVR shows strong intent. Users who land here are serious.
2. Focus on Product pages: 1.74% CVR with good awareness potential makes this worthwhile.
3. Use listicles for top-of-funnel: They pull good traffic despite lower conversion, so position them accordingly.
4. And of course, more Templates content: 9.09% CVR indicates opportunity.

In the longer run, definitely put more eggs in the ChatGPT basket.

Platform-Wise Content Mapping:

How to Measure Impact

With LLMs, the measurement game is different from traditional SEO.

Here's how to track whether your LLM optimization efforts are working:

1. Establish Baseline Metrics

Before you change anything, you need to know where you're starting from. Pull your current performance data for each content type on each platform:

• Session volume by page type and LLM source
• Conversion rates for each category
• Lead quality scores (if you're tracking them)
• Time to conversion from first touch

2. Run Monthly Experiments 

Don't just set it and forget it. Pick 2-3 underperforming content types each month and test specific hypotheses:

• Does adding more structure really improve ChatGPT citations?
• Do templates with downloadable elements convert better on Gemini?
• Does reducing listicle length improve Perplexity engagement?

3. Track Lead Quality

Most teams miss this. A thousand unqualified leads from Perplexity listicles won't help your pipeline!

For each platform, track:

• Lead qualification rate: What percentage of LLM-sourced leads meet your ICP criteria?
• SQL conversion rate: How many become sales-qualified opportunities?
• Deal velocity: Do leads from certain platforms or content types close faster?

4. Monitor Content Type Trends Over Time

LLM algorithms evolve quickly. What works today might not work in six months.

Set up a dashboard that tracks:

• Month-over-month performance shifts by content type
• New content formats emerging in your space
• Competitor visibility across platforms
• Citation patterns (which content types are LLMs quoting more?)

5. Test Cross-Platform Strategies

Don't operate in silos. Test how visibility on one platform affects performance on others:

• Does ranking in ChatGPT boost your Gemini traffic?
• Do Perplexity citations improve your overall brand search volume?
• Is there a halo effect from being cited consistently across all three?

Conclusion

This research gives content teams much more direction. Based on these findings, make tweaks to your existing content plan. Keep an eye out for where your ICP is searching.

The key is to not treat all content types the same. Each platform has distinct preferences. Adapt your content strategy accordingly, and focus on dominating where your audience actually searches rather than spreading yourself thin everywhere.

You can build dynamic content engines that create new content and refresh old content, using Slate. Slate automates your content at scale so ChatGPT, Gemini, and Perplexity start citing your pages.

If you require a dependable partner who has done this for hundreds of companies, reach out to us. Our agentic workflows create high-quality content at scale, and our content engineers ensure quality and proper ideation. We've helped teams optimize for LLM visibility while maintaining the strategic thinking that drives conversions.

If you’d like to talk to us and take your content to the next level, book a call!