Comparing AI Overviews, ChatGPT, and Perplexity
Different AI search channels serve different use cases. Research reveals how users split between conversational AI and generative overlays.
AI Overviews vs ChatGPT vs Perplexity: Platform Comparison
AI search isn’t a single channel. It’s a collection of distinct platforms with different user behaviors, different strengths, and different optimization requirements.
Brands optimizing for one platform while ignoring others leave market share on the table. Understanding the differences enables smarter resource allocation.
The Split Market: Conversational vs. Overlay
According to Scrunch research examining 100,000 unique users across 7.6 million AI search sessions over three months, two primary AI search methods compete for user attention:
Conversational agents: ChatGPT, Claude, Perplexity—dedicated AI platforms users visit specifically for AI-powered search and dialogue.
Generative overlays: Google AI Overviews (and similar)—AI-generated answers that appear within traditional search results.
Neither dominates decisively. The research found generative overlays held a slight overall edge, but preferences varied significantly by category.
Category-Specific Preferences
User preference between AI types varies substantially by industry and task type.
Finance
Overlay preference: 58% vs 42% in favor of Google AI Overviews
Shopping and comparison tasks in finance strongly favored AI Overviews. Users comparing credit cards, researching mortgage rates, or evaluating investment options preferred answers integrated with search.
Implication: Finance brands should prioritize Google AI Overview optimization while maintaining conversational AI presence.
Healthcare
Mixed preference with conversational agents showing strength for detailed research.
Exploratory research and detailed information queries leaned toward conversational agents. Users seeking to understand conditions, treatment options, or health information engaged more deeply with dialogue-based AI.
Implication: Healthcare content should serve both channels—quick answers for AI Overviews, comprehensive dialogue-ready content for conversational agents.
Ecommerce
Context-dependent preferences:
- Discount codes and product shopping → AI Overviews
- Niche items (like greeting cards) → Conversational agents
Users with clear purchase intent used AI Overviews. Users with more exploratory or unusual needs preferred conversational AI.
Implication: Ecommerce brands need presence across both channels, with different content optimized for each context.
Education
Strongest agent preference: 62% vs 38% in favor of conversational agents
Educational AI tools showed the strongest preference for conversational agents. Users learning or exploring topics preferred dialogue-based interaction.
Implication: Education brands should prioritize conversational AI optimization.
Software
Near parity overall (52% vs 48% for overlays), but AI-specific tools showed:
- 61% vs 39% preference for conversational agents
When users searched for AI-related software specifically, they strongly preferred using AI platforms rather than traditional search with AI overlay.
Implication: Software brands, especially those in AI-adjacent categories, should emphasize conversational AI presence.
Platform Characteristics
Understanding each platform’s characteristics helps optimize effectively.
Google AI Overviews
Strengths:
- Massive reach (appears for significant portion of Google searches)
- Integrated with existing search behavior
- Users don’t need to adopt new platform
- Strong for commercial/transactional queries
Characteristics:
- Pulls from Google’s index
- Traditional SEO factors still relevant
- Topical authority influences inclusion
- Structured data can help
- Citations appear below answers
Optimization priority: Traditional SEO + structured data + passage-level clarity
ChatGPT
Strengths:
- Largest dedicated AI user base
- Strong for research and exploration
- Deep dialogue capabilities
- Memory and personalization
Characteristics:
- Uses Bing for web retrieval when browsing enabled
- Significant response variability
- Lower click-through rate than traditional search
- Strong for comparison and evaluation queries
Optimization priority: Entity clarity + quotable content + third-party corroboration
Perplexity
Strengths:
- Consistently displays sources and citations
- Strong for research with source verification
- Growing user base, especially among researchers
- Higher citation click-through than ChatGPT
Characteristics:
- High response variability despite citations
- Strong retrieval and source display
- Good for content that wants traffic, not just mentions
Optimization priority: Citation-worthy content + authoritative sources + current information
Claude
Strengths:
- Professional and enterprise use cases
- Thoughtful, nuanced responses
- Growing adoption in business contexts
Characteristics:
- More conservative with recommendations
- Consistent substance, variable formatting
- Emphasizes balanced perspectives
Optimization priority: Authoritative content + comprehensive coverage + professional presentation
The Channel-Switching Reality
A critical insight from the research: “users can jump between AI search modes within a single search session.”
Someone might:
- Start with a Google search
- See AI Overview, want more detail
- Open ChatGPT for deeper exploration
- Return to Google for specific product search
- Check Perplexity for source verification
This behavior means visibility on only one platform leaves gaps in the user journey.
Strategic Implications
Don’t Optimize for One Channel Only
The research’s central message: “optimizing for one channel while neglecting the other results in lost market share.”
Brands focusing exclusively on ChatGPT miss AI Overview traffic. Brands focusing only on Google miss conversational AI users.
Multi-platform visibility should be the goal.
Match Content to Channel Strengths
Different content types suit different channels:
| Content Type | Best Channel | Reason |
|---|---|---|
| Quick comparisons | AI Overviews | Integrated with search flow |
| Deep research | ChatGPT, Claude | Dialogue enables exploration |
| Source-verified info | Perplexity | Sources always displayed |
| Commercial transactions | AI Overviews | Purchase intent users |
| Learning/education | ChatGPT, Claude | Interactive explanation |
Optimize each content type for its natural channel.
Resource Allocation by Category
Based on research findings, consider category-specific prioritization:
| Industry | Primary Focus | Secondary Focus |
|---|---|---|
| Finance | AI Overviews | ChatGPT |
| Healthcare | Both equally | - |
| Ecommerce | AI Overviews | Perplexity |
| Education | ChatGPT/Claude | AI Overviews |
| Software | ChatGPT | AI Overviews |
These aren’t exclusive—you need presence everywhere—but help prioritize where resources are limited.
Maintain SEO Fundamentals
A consistent finding: AI retrieval relies on similar factors to traditional search ranking.
The research emphasizes brands should “maintain SEO fundamentals, as AI retrieval relies on similar ranking factors.”
Strong traditional SEO creates the foundation that AI systems build on. Don’t abandon it for GEO.
Ensure Technical Accessibility
Website accessibility for AI crawling affects all platforms:
- GPTBot access for ChatGPT
- Standard crawlers for Google AI
- PerplexityBot for Perplexity
- General crawler access for all
Technical barriers that block one platform likely affect others.
Measurement Across Platforms
Multi-platform strategy requires multi-platform measurement.
Track Each Platform Separately
Each platform has different:
- Response consistency
- User behavior patterns
- Optimization factors
- Success metrics
Combine data for overall picture, but analyze platforms individually.
Unified Query Set, Platform-Specific Insights
Use the same target query set across platforms for comparability, but recognize:
- ChatGPT visibility of 50% and Perplexity visibility of 50% mean different things
- Platform consistency affects confidence in measurements
- Traffic attribution differs by platform
Watch Cross-Platform Patterns
Look for patterns across platforms:
- Gains on one platform but not others may indicate platform-specific factors
- Universal gains suggest broader authority improvements
- Divergent trends warrant investigation
The Combined Opportunity
Total AI search visibility is larger than any single platform suggests.
When you sum:
- Google AI Overview visibility
- ChatGPT mentions
- Perplexity citations
- Claude recommendations
The combined opportunity exceeds what single-platform focus reveals. Multi-platform strategy captures the full market.
RivalHound monitors your brand across Google AI Overviews, ChatGPT, Perplexity, Claude, and other AI platforms. Start your free trial to see your complete AI visibility picture.