How does multi-model execution work?

Every prompt you track executes across 5 AI platforms simultaneously: ChatGPT, Perplexity, Google AI Mode, Google AI Overview, and Gemini. You see results for all models in one dashboard.

Why do different AI models show different results?

ChatGPT uses different training data, knowledge cutoffs, and web search capabilities than Perplexity. Google AI Mode draws from Google's search index. Gemini has its own training corpus. These differences cause significant variation in brand visibility and recommendations.

What metrics are tracked per model?

For each model, you see mentions (were you mentioned?), citations (was your domain linked?), citation position (1st, 2nd, 3rd...), visibility score, and full response text. All metrics are filterable by model, letting you isolate specific platforms.

Which specific AI models are supported?

We track 5 AI models: ChatGPT, Perplexity (real-time search AI), Google AI Mode (conversational search interface), Google AI Overview (search result summaries), and Gemini.

Can I filter results by specific models?

Yes. Filter dashboards by any combination of models. Compare just ChatGPT vs Perplexity, or analyze all 5. You can also filter by time period, country, language, and collection for granular analysis.

Multi-Model Intelligence

Compare your visibility across 5 AI models simultaneously

Your prompts execute across ChatGPT, Perplexity, Google AI Mode, Google AI Overview, and Gemini simultaneously. Compare visibility, citations, and responses across all 5 AI platforms to understand where you win and where you need to improve.

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Features

One Prompt, Five AI Perspectives

Each AI platform sees your brand differently. ChatGPT might cite you first while Perplexity barely mentions you. Models Comparison reveals these crucial differences so you can optimize where it matters.

Track All Major AI Models

Every prompt executes across ChatGPT, Perplexity, Google AI Mode, Google AI Overview, and Gemini. See visibility, citations, and mentions per model in one unified view.

Compare Visibility Scores

Each model shows different visibility for your brand. Compare mention counts, citation positions, and visibility percentages across all 5 platforms side-by-side.

Read Full Responses Per Model

See the actual AI responses, not just the metrics. Compare how ChatGPT describes you vs Perplexity vs Gemini for the same prompt.

Track Changes Over Time

See how each model's perception of your brand evolves. Identify when ChatGPT started citing you more, or when Perplexity stopped mentioning you.

Model + Location Analysis

AI responses vary by country and language. Filter by market to see how models respond differently in US vs UK vs Germany.

Citation Position Per Model

When AI cites your domain, where do you rank? Track your average citation position per model, first, second, or further down the list.

How Multi-Model Tracking Works

Automatic execution across all major AI platforms

1

Prompt Execution

Your prompts execute automatically across ChatGPT, Perplexity, Google AI Mode, Google AI Overview, and Gemini via our provider integrations.
2

Response Capture

We capture the full response, mentions, citations, and source URLs from each AI model. Every data point is stored for analysis.
3

Unified Metrics

View mentions_count, citations_count, position, and visibility_score per model. Compare performance across platforms in one dashboard.
4

Model Filtering

Filter any view by model to focus on specific platforms. Compare ChatGPT vs Perplexity or analyze all 5 models together.

Models Comparison Use Cases

How teams use multi-model tracking to optimize AI visibility

Platform Prioritization

Discover which AI platforms drive the most visibility for your brand. Focus optimization efforts on models that matter to your audience.

Competitive Benchmarking

Compare how competitors perform per model. Find platforms where you have an advantage and where you're losing ground.

Response Differences

See why ChatGPT recommends you while Perplexity doesn't. Compare actual response text to understand model-specific behaviors.

Model Trend Monitoring

Track when specific models change their perception of you. Identify algorithm updates or training data changes affecting visibility.

"LLM Pulse has allowed us to better organize our work and prioritize the actions that matter most. It gives us much greater clarity when implementing new ideas, and it makes reporting far easier, with metrics that were previously complex and difficult to obtain. Today it is part of how we plan and measure our visibility in AI search."

Sandra Vargas

Euroinnova

Frequently Asked Questions

Learn about multi-model tracking in LLM Pulse.

: Every prompt you track executes across 5 AI platforms simultaneously: ChatGPT, Perplexity, Google AI Mode, Google AI Overview, and Gemini. You see results for all models in one dashboard.
: ChatGPT uses different training data, knowledge cutoffs, and web search capabilities than Perplexity. Google AI Mode draws from Google's search index. Gemini has its own training corpus. These differences cause significant variation in brand visibility and recommendations.
: For each model, you see mentions (were you mentioned?), citations (was your domain linked?), citation position (1st, 2nd, 3rd...), visibility score, and full response text. All metrics are filterable by model, letting you isolate specific platforms.
: We track 5 AI models: ChatGPT, Perplexity (real-time search AI), Google AI Mode (conversational search interface), Google AI Overview (search result summaries), and Gemini.
: Yes. Filter dashboards by any combination of models. Compare just ChatGPT vs Perplexity, or analyze all 5. You can also filter by time period, country, language, and collection for granular analysis.