Here’s something that surprises people: not all AI platforms are the same, and optimizing for all of them with one strategy is a mistake.
ChatGPT, Perplexity, Claude, Google AI Overviews—they all have different training data, different approaches to sourcing information, different user bases. If you’re thinking about GEO agency for ChatGPT and Perplexity, you need an agency that understands how to optimize for each platform specifically.
This is where a lot of generic GEO agencies fall short. They optimize for “AI systems” in general. But that’s like optimizing for “search engines” when you actually need to optimize differently for Google versus Bing.
The ChatGPT-Specific Strategy
ChatGPT is the most widely used AI system right now, so let’s start there.
ChatGPT’s training data has a knowledge cutoff (the latest being in early 2024). This means older, established content ranks. Your content needs to be in that training data.
ChatGPT tends to cite authoritative sources. It’s not just pulling random content; it’s looking for sources that seem credible and reliable.
ChatGPT often provides balanced responses. If you’re in a competitive category, ChatGPT will usually mention multiple options rather than recommending one.
ChatGPT is used by everyone—from casual users asking basic questions to professionals making important decisions. This means your visibility can span different customer journeys.
For GEO agency for ChatGPT and Perplexity optimization, the ChatGPT strategy usually includes:
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Making sure your comprehensive, authoritative content is available for training data inclusion
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Positioning yourself as a credible source (not just prominent, but trustworthy)
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Creating content that answers the full range of questions people ask, not just your sales message
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Building authority signals (backlinks, citations, media mentions) that help ChatGPT see you as credible
The Perplexity-Specific Strategy
Perplexity is different. It’s newer, more research-focused, and it has a different user base and approach.
Perplexity actively cites its sources within responses. When it references something, it links to the source. This is actually better for GEO in some ways—you’re not just mentioned, you’re linked.
Perplexity seems to prefer more recent content. Its training data includes more current information than ChatGPT’s.
Perplexity’s user base is more research-focused. People using Perplexity are often doing deeper research, comparing options, or investigating topics thoroughly.
Perplexity shows citations clearly, so you can actually see where your content is being cited.
For Perplexity optimization, the strategy is often:
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Publishing recent, well-sourced content that cites your research and findings
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Creating comprehensive guides and resources that Perplexity would want to cite
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Building relationships with publications and media that Perplexity includes in its citations
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Creating content that answers specific research questions, not just sales messages
The Platform-Specific Differences
Here’s a comparison of how they’re different:
Training data freshness:
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ChatGPT: Historical (older knowledge cutoff)
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Perplexity: Current (more recent information)
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Claude: Large and historical
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Google AI Overviews: Current Google index
Citation approach:
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ChatGPT: Sometimes cites, sometimes doesn’t
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Perplexity: Usually explicit citations
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Claude: Clear citations often
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Google AI Overviews: Usually cites sources
User base:
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ChatGPT: Everyone
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Perplexity: Research-focused professionals
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Claude: Business users, knowledge workers
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Google AI Overviews: Google search users
Tone and approach:
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ChatGPT: Conversational, balanced
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Perplexity: Research-focused, detailed
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Claude: Thoughtful, nuanced
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Google AI Overviews: Direct, factual
Understanding these differences shapes your strategy.
The Prioritization Question
With limited resources, which platforms should you focus on?
That depends on your audience:
If your customers use ChatGPT a lot: Focus there first. That’s where the biggest user base is.
If your customers do research-heavy decisions: Perplexity might be important. Researchers and professionals use it a lot.
If you’re in B2B: Claude might be important. Many business users prefer Claude for work.
If you want search traffic: Google AI Overviews matter, especially if your customers are searching Google.
You’re probably going to want visibility in multiple places eventually. But if you’re starting, focus on where your customers actually are.
The Content Strategy Across Platforms
Interestingly, the content that works across platforms is often similar. Comprehensive, authoritative, well-sourced content gets cited by most systems.
But there are some nuances:
For ChatGPT: Emphasize established authority and comprehensive coverage. Older, well-proven content works.
For Perplexity: Emphasize recent research and clear citations. New findings and data-backed insights work.
For Claude: Emphasize thoughtful analysis and nuance. Sophisticated perspectives work.
For Google: Emphasize answering specific questions clearly. Direct, useful answers work.
The beauty is: if you create content that’s good for Perplexity (recent, cited, research-focused), it usually works across platforms. If you create content that’s only good for ChatGPT (old, vague, historical), you miss on newer platforms.
The Agency Question
When you’re evaluating AI search optimization agency options, ask specifically about platform expertise:
“How do you approach ChatGPT versus Perplexity? Are they the same strategy or different?”
If they say “We optimize for all AI systems the same way,” that’s a red flag. There are real differences.
“Which platforms do you monitor for our visibility?”
A good agency should be actively testing multiple platforms and giving you data about each.
“What’s your perspective on which platforms matter for our business?”
They should help you prioritize based on your customers and situation, not just chase all of them.
The Tools and Measurement
One challenge: there’s no built-in tool that tells you how often you appear in ChatGPT or Perplexity responses.
Good agencies have workarounds:
Regular testing: They ask the AI systems relevant questions and track whether and where you appear.
Customer feedback: They ask your customers which AI systems they use and what they saw.
Traffic analysis: They analyze traffic sources to identify AI-referred traffic.
Engagement signals: They track signals that suggest AI is driving awareness.
This manual approach is tedious but necessary because there’s no public API for measuring GEO.
The Future State
As AI systems mature and compete, they’re becoming more explicit about their sources. In the future, we’ll probably have better measurement of AI citations.
For now, optimizing thoughtfully for the major platforms and measuring imperfectly is the best we can do.
The Practical Approach
If you’re thinking about GEO agency for ChatGPT and Perplexity work:
Start by understanding where your customers actually search. Don’t optimize for all platforms equally.
Focus on platform-specific strategies for the top 1-2 platforms your customers use.
Create content that works across platforms (comprehensive, authoritative, recent, well-sourced).
Measure imperfectly but regularly. Test visibility. Track customer awareness.
Adjust strategy as you learn what’s working.
It’s not perfect, but it’s how you actually win at AI search right now.
Ready to optimize for the AI platforms your customers actually use? Learn how ThatWare develops platform-specific strategies that maximize your visibility where it matters most.
