# LLM Brand Tracking Dashboard

## What this hub is for

This dashboard hub is for marketing, SEO, GEO, and brand teams that need to answer one operational question every week: **What does each major AI platform say about my brand, and what should we change next?**

Tracking only one model is risky. Buyers ask similar questions in different AI systems, and each system can produce different recommendations, source choices, and competitive framing. Platform-specific monitoring lets your team see those differences early and fix the exact pages and sources causing visibility loss.

## AI platform pages in this set

| Platform page | Primary monitoring goal |
| --- | --- |
| [ChatGPT](/chatgpt-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for ChatGPT workflows. |
| [Gemini](/gemini-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Gemini workflows. |
| [Meta AI](/meta-ai-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Meta AI workflows. |
| [Microsoft Copilot](/microsoft-copilot-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Microsoft Copilot workflows. |
| [Perplexity](/perplexity-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Perplexity workflows. |
| [Claude](/claude-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Claude workflows. |
| [Grok](/grok-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Grok workflows. |
| [DeepSeek](/deepseek-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for DeepSeek workflows. |
| [Qwen](/qwen-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Qwen workflows. |
| [Mistral](/mistral-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Mistral workflows. |
| [Google AI Overviews](/google-ai-overviews-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Google AI Overviews workflows. |
| [Google AI Mode](/google-ai-mode-brand-tracking) | Track mention quality, recommendation positioning, source influence, and competitor displacement for Google AI Mode workflows. |

## Standard measurement framework across all platforms

Use the same measurement spine everywhere, then tune prompt packs per model:

1. **Brand inclusion rate** for discovery, comparison, and conversion-intent prompts.
2. **Recommendation position** (first mention, shortlist mention, omitted).
3. **Competitor overlap** and displacement frequency.
4. **Source influence footprint** (owned, earned, third-party domains).
5. **Narrative quality** of how your brand is framed in answers.

Texta turns those five signals into one operating dashboard so your team can spot changes quickly instead of manually testing prompts in each platform.

## Weekly operating cadence (cross-platform)

1. Run a fixed prompt pack by platform and by intent cluster.
2. Compare mention share, recommendation position, and source movement week-over-week.
3. Flag high-value losses where competitors replaced your brand.
4. Assign one action per loss theme (page update, source outreach, structured content update, positioning adjustment).
5. Re-run the same prompts after changes to measure lift.

## Why teams use Texta for platform-level monitoring

- Track **100k+ prompts monthly** across model and intent clusters.
- Move faster with **action-oriented diagnostics**, not just raw visibility charts.
- Share one source-of-truth dashboard across SEO, content, and product marketing.
- Reduce reporting overhead with a platform built for repeatable GEO operations.

## FAQ

### Do we need different prompt sets per platform?

Yes. Keep a shared core prompt set, but maintain platform-specific variants because answer behavior changes by model, session style, and source handling.

### How many prompts should we track first?

Start with 30 to 60 high-intent prompts per platform: discovery, competitor comparison, and conversion-stage prompts tied to revenue-critical workflows.

## Open a platform page

- [ChatGPT](/chatgpt-brand-tracking)
- [Gemini](/gemini-brand-tracking)
- [Meta AI](/meta-ai-brand-tracking)
- [Microsoft Copilot](/microsoft-copilot-brand-tracking)
- [Perplexity](/perplexity-brand-tracking)
- [Claude](/claude-brand-tracking)
- [Grok](/grok-brand-tracking)
- [DeepSeek](/deepseek-brand-tracking)
- [Qwen](/qwen-brand-tracking)
- [Mistral](/mistral-brand-tracking)
- [Google AI Overviews](/google-ai-overviews-brand-tracking)
- [Google AI Mode](/google-ai-mode-brand-tracking)

## Next steps

- [Review pricing](/pricing)
- [Compare platforms](/comparison)
- [Browse industries](/industries)