Prompt
LLM visibility dashboard for marketing team
Latest observation
Sep 24, 2026
OpenAI APIWeb search: off
Here’s a practical LLM visibility dashboard concept for a marketing team — focused on answering: “How often do AI models mention our brand, products, and content, and in what context?”
1) Dashboard goals
Track how your brand appears in:
- ChatGPT / Claude / Gemini / Perplexity / Copilot style answers
- AI-generated product recommendations
- AI summaries of category topics
- Competitive comparisons
- Content citations and backlinks
2) Core dashboard sections
A. Executive summary
Top-line KPIs:
- Brand mention rate: % of prompts where your brand is mentioned
- Share of voice in AI answers: your mentions vs competitors
- Citation rate: how often your site/content is cited
- Sentiment / context score: positive, neutral, negative mentions
- Ranking presence: whether you appear in “best tools/products” lists
- Category coverage: number of target topics where you show up
B. Prompt and topic performance
Break down by:
- Topic / keyword cluster
- Intent type:
- Informational
- Commercial
- Comparison
- Transactional
- Model / platform
- Geography / language
- Device or user segment if applicable
Metrics:
- Mentions per topic
- Citation frequency
- Competitor inclusion
- Prompt variation coverage
C. Competitive visibility
Compare your brand against competitors:
- Mention share
- Citation share
- Recommendation share
- Average position in AI-generated lists
- “Best for” category appearances
- Brand sentiment compared with competitors
D. Content influence
Show which content assets are being used by LLMs:
- Top cited pages
- Top cited blog posts
- Documentation / help center pages
- Pages generating the most AI mentions
- Freshness of cited content
- Gaps: important pages not being cited
E. AI answer quality / accuracy
Useful for brand protection:
- Hallucination rate
- Incorrect brand attributes
- Outdated product info
- Pricing inaccuracies
- Compliance-risk mentions
- Unsupported competitor comparisons
F. Trend monitoring
Track over time:
- Mentions by week/month
- Citation growth
- Model changes after content updates
- Impact of launches / PR / SEO campaigns
- Seasonal topic spikes
3) Recommended visuals
Use:
- Line chart: mention rate over time
- Stacked bar: share of voice by model
- Heatmap: topic × model visibility
- Table: prompts with exact AI answers and citations
- Treemap: top cited content assets
- Radar chart: your brand vs competitors across attributes
- Alert cards: sudden drops, misinformation, competitor gains
4) Example KPI definitions
- LLM Mention Rate = prompts where brand appears / total prompts tested
- AI Citation Rate = responses citing your domain / total responses
- Share of Voice = your mentions / all brand mentions in sampled answers
- Recommendation Rate = times you’re recommended / times relevant category prompts are asked
- Hallucination Rate = incorrect claims / total branded mentions
5) Alerts to include
Set alerts for:
- Brand disappears from top answers
- Competitor overtakes you in a key category
- Negative sentiment increases
- AI gives incorrect pricing/features
- New cited pages emerge
- Important content stops being referenced
6) Data sources
Possible inputs:
- Prompt testing across major LLMs
- SEO tools / search console
- Website analytics
- Backlink/citation monitoring
- PR mentions
- Product docs / knowledge base
- Manual QA samples
- API-based LLM query runs
7) Suggested dashboard layout
Header
- Date range
- Model filter
- Market/language filter
- Topic filter
Row 1: Executive KPIs
- Mention rate
- Citation rate
- Share of voice
- Recommendation rate
- Hallucination rate
Row 2: Trends
- Time series of mentions
- Time series of citations
- Time series of competitor share
Row 3: Topic visibility
- Heatmap by topic and model
- Top prompts where you appear / don’t appear
Row 4: Competitive view
- Competitor comparison table
- Best/worst categories
Row 5: Content influence
- Top cited pages
- Missing pages / opportunities
Row 6: Alerts and examples
- Recent answer examples
- Misinformation flags
- Drops / anomalies
8) Nice-to-have features
- Prompt library with reusable test prompts
- Versioning for monthly benchmark runs
- Exportable reports for leadership
- Slack/email alerts
- “Fix recommendation” panel for SEO/content actions
- Annotation field for campaign launches or product changes
9) If you want a simple version first
Start with just 5 metrics:
- Brand mention rate
- Citation rate
- Share of voice
- Competitor comparison
- Incorrect claim count
And 3 charts:
- Trend line
- Topic heatmap
- Top cited pages table
If you want, I can also turn this into:
- a wireframe,
- a Notion/Sheet template, or
- a BI dashboard spec for Looker/Tableau/Power BI.