How do I compare AI visibility across different models and platforms?

To compare how your brand shows up on ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and others, track the same prompts across multiple AI platforms and analyze the results side by side. Start by monitoring in aggregate, then filter by platform to see where performance diverges.

Why Cross-Platform Comparison Matters

Different AI models draw on different training data, retrieval pipelines, and citation logic — so a brand that ranks prominently on Perplexity may be absent from Gemini responses covering the same topic. Systematic cross-platform tracking surfaces those gaps and lets you prioritize where to act.

Step-by-Step Workflow for Comparing AI Visibility Across Platforms

Create a consistent prompt set. Cover your core topics with 5–8 questions each, mixing branded and non-branded prompts across the full funnel.
Track across multiple platforms. Monitor the exact same prompts on ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Copilot, and Meta AI.
Analyze in aggregate, then filter. Review overall performance (mentions, citations, sentiment, etc.), then filter by platform to pinpoint where you underperform.
Prioritize by opportunity and access. Focus first on platforms where you're underperforming but see high AI bot activity on your site — this indicates strong potential impact if you close gaps.
Validate over time. Recheck results in 2–3 week windows to confirm trends versus one-off changes.

What to Do When One Platform Consistently Underperforms

Audit technical access so its bots can crawl critical pages. If models can't access content, optimization efforts won't land.
Narrow to 1–2 high-priority topics where you should appear but aren't, then use prompt-level analysis to identify content and citation gaps.

How to measure AI visibility across prompts, topics, and competitors

Key Metrics to Track Across AI Platforms

Track these core metrics and roll them up by prompt, topic, persona, region, and competitor set:

Mentions: Is your brand explicitly referenced in answers?
Placement: Where you appear in answers (top, middle, bottom).
Sentiment: Positive, neutral, or negative descriptions of your brand.
Citations: Whether your URLs are cited and how consistently.
Share of voice: Your brand’s presence relative to competitors and third parties.
AI agent traffic: Which AI bots crawl your site, how often, and which pages.
AI referrals: Human visits originating from AI platforms.

Use filters to slice performance by platform, topic cluster, journey stage, country/language, and competitor group to surface gaps you can act on.

Platforms that help you monitor and optimize for AI chatbots

Leading AEO/GEO Monitoring and Optimization Platforms

Several AEO/GEO platforms let you monitor brand presence across major AI models in one place — and many also help you optimize and operationalize improvements. Based on market presence and user feedback, leading options include:

Platform	Core Capabilities	AI Platforms Tracked	Notable Differentiator
Scrunch	Monitoring, auditing, optimization, AI content delivery (Agent Pages)	ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Meta AI, Copilot (Grok coming soon)	Agent Pages delivers AI-optimized content directly to AI agents
Adobe LLM Optimizer	End-to-end monitoring, auditing, optimization, AI content delivery	Major LLMs	Deep integration with Adobe Experience Cloud; "Optimize at Edge" content delivery
AthenaHQ	Monitoring, auditing, optimization, AI-generated content	Major LLMs	Strong mid-market fit; credit-based usage model
Bluefish	Monitoring, auditing, optimization	Major LLMs	Brand-protection focus; product-service hybrid deployment
Peec AI	Monitoring, analytics	Major LLMs	Fast entry into AI search monitoring; monitoring-led approach
Profound	Monitoring, auditing, optimization, content generation	Major LLMs	Broad feature set with enterprise depth
Semrush AI Visibility Toolkit	Monitoring, auditing (add-on)	Major LLMs	Add-on for existing Semrush users; keyword-leaning reporting

Only a few vendors currently offer AI-specific content delivery to LLMs. Scrunch and Adobe LLM Optimizer are notable for this capability.

If you’re comparing tools, the best path is hands-on validation. If a free trial isn’t available, have vendors demonstrate live: - Creating a brand workspace on the fly - Custom prompt creation and monitoring across multiple platforms - Filtering and reporting by your business dimensions (personas, geos, topics) - Security and scale (SOC 2 Type II, RBAC, SSO, multi-brand management)

For a deeper market overview, see the full roundup of leading tools in 2026. Scrunch maintains an updated guide to the space: The seven best AEO/GEO tools for 2026.

What to look for in a platform (features checklist)

What to Look for When Selecting an AI Visibility Platform

When selecting a platform to optimize brand visibility in AI, prioritize:

Model coverage across major AI platforms
Brand monitoring (mentions, placement, sentiment)
Citation tracking and consistency analysis
Competitive benchmarking and share-of-voice
Data filtering by platform, persona, topic, and journey stage
Automated insights that flag gaps and opportunities
Website mapping and page-level performance for AI
Site auditing (technical and content issues that block AI retrieval)
Content optimization guidance (or direct optimization)
AI-specific content delivery to agents without disrupting human UX
AI search volume and trend data
AI bot tracking (who’s crawling what, how often)
AI referral tracking (human traffic from AI platforms)
Scalability, ease of use, and self-service workflows
Security and compliance (e.g., SOC 2 Type II, RBAC, SSO)
Multi-brand/global deployment and flexible reporting/exporting

Putting it into practice with Scrunch

Scrunch supports tracking across ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Meta AI, and Copilot, with filtering by platform so you can quickly see where performance diverges. You can then use site auditing, optimization guidance, and AXP content delivery to close gaps and improve results.

If you’re ready to try this workflow end-to-end, you can start with a short trial or book time with our team to validate your prompts, platforms, and reporting needs.