AI platform monitoring hub

AI platform-specific brand tracking

A platform-specific monitoring hub for tracking brand visibility across ChatGPT, Gemini, Claude, Perplexity, Copilot, and other AI answer engines.

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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	Track mention quality, recommendation positioning, source influence, and competitor displacement for ChatGPT workflows.
Gemini	Track mention quality, recommendation positioning, source influence, and competitor displacement for Gemini workflows.
Meta AI	Track mention quality, recommendation positioning, source influence, and competitor displacement for Meta AI workflows.
Microsoft Copilot	Track mention quality, recommendation positioning, source influence, and competitor displacement for Microsoft Copilot workflows.
Perplexity	Track mention quality, recommendation positioning, source influence, and competitor displacement for Perplexity workflows.
Claude	Track mention quality, recommendation positioning, source influence, and competitor displacement for Claude workflows.
Grok	Track mention quality, recommendation positioning, source influence, and competitor displacement for Grok workflows.
DeepSeek	Track mention quality, recommendation positioning, source influence, and competitor displacement for DeepSeek workflows.
Qwen	Track mention quality, recommendation positioning, source influence, and competitor displacement for Qwen workflows.
Mistral	Track mention quality, recommendation positioning, source influence, and competitor displacement for Mistral workflows.
Google AI Overviews	Track mention quality, recommendation positioning, source influence, and competitor displacement for Google AI Overviews workflows.
Google AI Mode	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:

Brand inclusion rate for discovery, comparison, and conversion-intent prompts.
Recommendation position (first mention, shortlist mention, omitted).
Competitor overlap and displacement frequency.
Source influence footprint (owned, earned, third-party domains).
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)

Run a fixed prompt pack by platform and by intent cluster.
Compare mention share, recommendation position, and source movement week-over-week.
Flag high-value losses where competitors replaced your brand.
Assign one action per loss theme (page update, source outreach, structured content update, positioning adjustment).
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

Next steps

Track by AI platform

Open any platform page to run model-specific prompt packs and weekly diagnostics.

ChatGPT

Track how ChatGPT describes your brand, which competitors it recommends, and which sources influence its answers.

Open page

Gemini

Monitor Gemini brand mentions, recommendation positioning, and source influence across high-intent buying prompts.

Open page

Meta AI

Track brand representation in Meta AI answers, identify competitor displacement, and monitor source-level narrative shifts.

Open page

Microsoft Copilot

Measure how Microsoft Copilot represents your brand, competitor position, and source backing across buyer prompts.

Open page

Perplexity

Track Perplexity brand visibility with citation-level diagnostics, competitor overlap, and prompt-level trend monitoring.

Open page

Claude

Monitor Claude brand narratives, competitive framing, and prompt-level answer shifts with Texta tracking workflows.

Open page

Grok

Track Grok brand mentions, competitor displacement, and trend-driven answer shifts with a repeatable Texta workflow.

Open page

DeepSeek

Track DeepSeek answer visibility, category fit, and source-backed brand positioning with structured prompt monitoring.

Open page

Qwen

Track Qwen brand visibility, multilingual narrative quality, and competitive recommendation patterns with Texta.

Open page

Mistral

Monitor Mistral brand mention trends, competitor recommendation shifts, and source-driven narrative changes.

Open page

Google AI Overviews

Track how your brand appears in Google AI Overviews, including mention frequency, citation presence, and competitor displacement.

Open page

Google AI Mode

Measure your brand visibility and recommendation quality in Google AI Mode with prompt-level tracking and source diagnostics.

Open page