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.

Here’s a simple workflow: 1) Create a consistent prompt set. Cover your core topics with 5–8 questions each, mixing branded and non-branded prompts across the full funnel.
2) Track across multiple platforms. Monitor the exact same prompts on ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Copilot, and Meta AI.
3) Analyze in aggregate, then filter. Review overall performance (mentions, citations, sentiment, etc.), then filter by platform to pinpoint where you underperform.
4) 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.
5) Validate over time. Recheck results in 2–3 week windows to confirm trends versus one-off changes.

If 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

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

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:

• Scrunch: End-to-end monitoring, auditing, optimization, and AI-specific content delivery via its Agent Experience Platform (AXP). Tracks eight major platforms (ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Meta AI, and Microsoft Copilot), with Grok coming soon.
• Adobe LLM Optimizer: Enterprise-focused, end-to-end capabilities tightly integrated with Adobe Experience Cloud; includes AI-focused content delivery (“Optimize at Edge”).
• AthenaHQ: Monitoring, auditing, optimization, plus AI-generated content; strong mid-market fit; credit-based usage.
• Bluefish: Enterprise monitoring/auditing/optimization with a brand-protection angle; product-service hybrid deployment.
• Peec AI: Fast entry into AI search monitoring and analytics; monitoring-led approach.
• Profound: Broad feature set (monitoring/auditing/optimization + content generation) with enterprise depth.
• Semrush AI Visibility Toolkit: Monitoring and auditing 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)

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.