AI-generated answers are becoming a primary discovery layer for brands. Until recently, most visibility analysis focused on a small set of models. That picture was incomplete.
LLM Pulse has expanded its tracking coverage to include Google Gemini, one of the most widely deployed AI systems in the world.
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This update gives teams a clearer, more representative view of how your brand appears across AI-driven environments.
Why Google Gemini matters
Google Gemini is Google’s multimodal language model. It powers conversational experiences and AI features across Google’s ecosystem.
Its importance is not theoretical. Gemini is already embedded in how users research, compare, and validate information. That makes it a critical surface for brand visibility, reputation, and competitive positioning.
If you are not measuring how Gemini represents your brand, you are missing a substantial part of the AI search landscape.
What Gemini tracking adds to LLM Pulse
With this release, LLM Pulse expands its tracking coverage to include Gemini responses using the same methodology and GEO KPIs already applied across other models.
You can now:
- Track how your brand is mentioned in Gemini answers
- Compare Gemini results with other AI models using identical prompts
- Identify competitors favored by Gemini in specific contexts
- Monitor visibility changes over time
All data is available directly in your existing dashboard.
No setup. No configuration changes.
How it works
Any prompts you are already tracking in LLM Pulse are now also evaluated against Gemini.
For each prompt, LLM Pulse records:
- The generated response
- Brand mentions
- Competitive presence
This allows direct, apples-to-apples comparison across AI systems without manual analysis or fragmented tooling.
👉 Start tracking your AI visibility with LLM Pulse
What this means in practice
Different models surface different brands, sources, and narratives.
Gemini often prioritizes content differently than other LLMs. That divergence is precisely where strategic insight lives.
By including Gemini, you can:
- Detect blind spots in your AI visibility
- Understand where competitors gain advantage
- Adjust content and positioning based on real model behavior
- Make AI visibility decisions grounded in data, not assumptions
This is especially relevant for brands operating in competitive or regulated spaces, where trust, sourcing, and framing matter.
A more complete view of AI visibility
With Gemini now included, LLM Pulse provides tracking across:
- ChatGPT
- Perplexity
- Google AI Overviews
- Google AI Mode
- Google Gemini
Our goal remains unchanged: offer a structured, measurable way to understand how brands appear inside AI-generated answers.
Hello Google Gemini!
FAQ
What does Google Gemini tracking mean in LLM Pulse?
Google Gemini tracking means that LLM Pulse now captures and analyzes responses generated by Google Gemini using the same prompts and metrics applied to other AI systems. This allows you to measure brand mentions, citations, and competitive presence inside Gemini-generated answers.
Do I need to configure anything to enable Gemini tracking?
No. Gemini tracking is enabled automatically. Any prompts you are already tracking in LLM Pulse are now also evaluated against Google Gemini, without requiring changes to your setup or workflow.
Can I compare Gemini results with other AI models?
Yes. Gemini responses can be compared directly with other supported AI systems using identical prompts. This makes it possible to identify differences in brand visibility, cited sources, and competitive positioning across models.
What type of data does LLM Pulse collect from Gemini?
LLM Pulse captures the full response generated by Google Gemini for each tracked prompt, along with brand mentions and competitive presence. This data is presented using the same structure and metrics applied to other AI models, allowing teams to analyze visibility consistently and compare results across systems.
Is Google Gemini tracking included in all plans?
Yes. Google Gemini tracking is included by default in all plans at no additional cost. There is no separate add-on or upgrade required.
