For a dashboard like this, I’d prioritize features in this order:

1) Core visibility metrics by platform

Start with the simplest, most actionable view:

• Brand mention rate by platform
• Topic-level mention rate
• Share of voice vs competitors
• Trend over time by week/month
• Platform breakdown for ChatGPT, Perplexity, Gemini, and Google AI Overviews

Why this first: marketing teams usually need to know “Are we being surfaced, where, and in what topics?” before anything else.

2) Topic-level analytics

This is the most useful layer for strategy.

• Topic clusters or categories
• Mention frequency per topic
• Sentiment or framing around brand mentions
• Topic gaps where competitors appear but you don’t
• Emerging topics where visibility is rising/falling

Useful views:

• Topic heatmap
• Topic trend lines
• Top prompts/questions per topic

3) Citation and source analysis

Since citations matter a lot in AI search and answer engines:

• Citation rate: how often your brand is cited
• Citation source type: your site, third-party articles, reviews, forums, docs, etc.
• Citation position: whether you’re primary, secondary, or buried
• Citation freshness: how recent the cited sources are
• Citation overlap with competitors

This helps you understand not just whether you appear, but why.

4) Competitor comparison

Make it easy to compare against a shortlist of competitors:

• Brand vs competitor share of voice
• Topic-by-topic comparison
• Citation share
• Platform-specific comparison
• Prompt-level comparison for key queries

Best views:

• Side-by-side competitor table
• Radar chart by topic
• Rank distribution per platform

5) Query/prompt intelligence

You’ll want to see the actual questions driving visibility:

• Top prompts where your brand appears
• Prompts where competitors appear but you don’t
• Prompt intent classification: informational, transactional, comparison, etc.
• Prompt performance by platform

This is where the dashboard becomes a planning tool rather than just reporting.

6) Alerting and anomaly detection

Very useful for ongoing monitoring:

• Spike/drop alerts in mentions or citations
• Competitor surges
• New topic emergence
• New citation sources
• Loss of visibility on key prompts

7) Filters and segmentation

To make the dashboard usable:

• Platform
• Topic
• Competitor
• Region/language
• Date range
• Prompt intent
• Source type

8) Benchmarking and goals

Add simple benchmarks so the team knows what “good” looks like:

• Target mention share
• Target citation share
• KPI thresholds by topic
• Historical baseline comparisons

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Recommended dashboard layout

If you want a clean structure, I’d use:

Executive summary

• Overall visibility
• Share of voice
• Citation share
• Biggest gain/loss topics
• Competitor movement

Topic trends

• Topic heatmap
• Topic trend lines
• Prompt examples

Citation intelligence

• Citation sources
• Source quality/freshness
• Citation distribution

Competitor analysis

• Side-by-side comparison
• Topic and platform ranking
• Gap analysis

Alerts and opportunities

• Visibility changes
• New opportunities
• Missing coverage

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If you need to prioritize ruthlessly

If you can only ship a few features first, build these:

1. Brand mention/share of voice by platform
2. Topic-level trend tracking
3. Competitor comparison
4. Citation tracking
5. Prompt-level drilldown

That combination gives marketing teams the most strategic value quickly.

If you want, I can also turn this into:

• a MVP feature list
• a dashboard wireframe
• or a data model / metrics spec for the engineering team.