Analytics & Share of Voice
Understand your competitive citation landscape with the Share of Voice dashboard — track which brands own which AI queries in your space.
What is Share of Voice in AI search?
Share of Voice (SOV) is the percentage of AI answer citations in your tracked keyword set that belong to your brand versus your competitors. If AI answers for your 50 tracked keywords cite your brand 20% of the time and a competitor 40% of the time, that competitor has twice your AI Share of Voice.
SOV is the ultimate GEO metric because it directly measures your competitive position in the attention economy of AI answers — not just raw citation counts.
Example SOV breakdown for "AI SEO tools" keyword set
Your Brand
22%
Competitor A
41%
Competitor B
18%
Others
19%
The SOV dashboard
Navigate to Analytics in your sidebar to access the Share of Voice dashboard. The dashboard requires at least 5 tracked keywords with citation check results to generate meaningful data.
The main SOV dashboard shows:
- Your current overall SOV percentage across all tracked keywords
- SOV trend over time (are you gaining or losing ground?)
- Top competitor domains and their SOV percentages
- Market concentration index (HHI) — how dominated the space is
- Critical issues count — keywords where you have 0% SOV
SOV vs Citation Count
Platform breakdown
The Platform Breakdown section shows your SOV separately for each AI platform. This is critical because competitive dynamics differ by platform:
| Platform | Key differentiator | What to optimize for |
|---|---|---|
| Perplexity | Live retrieval, freshness-first | Publication dates, external links, recency |
| ChatGPT | Training data bias + browse mode | Schema, E-E-A-T, author authority |
| Gemini | Google index integration | FAQ Schema, structured lists, Google metadata |
| Claude | Safety + quality filtering | Low fluff, high entity density, authorship |
The platform radar chart visualizes your SOV across all four platforms simultaneously, making it easy to spot which platform you are weakest on.
Competitor co-citation frequency
Co-citation frequency tracks how often a specific competitor appears in AI answers for the same queries where you are also cited (or should be cited). High co-citation frequency with a specific competitor means they are your primary adversary in AI search for your keywords.
Use co-citation data to:
- Identify your most dangerous AI search competitors (may differ from your traditional SEO competitors)
- Analyze their content to understand why AI engines prefer them for shared queries
- Prioritize fixes that target the specific signals where they outperform you
Sentiment trend chart
The Sentiment Trend Chart shows the ratio of positive vs neutral vs negative citations over time. Ideally, your positive citation ratio should grow over time as your GEO program matures.
A sudden spike in negative citations is an early warning signal — it may indicate:
- A competitor published negative content about your brand that AI is citing
- A product/service issue generating negative user content that AI is detecting
- A misattribution where AI is incorrectly linking your brand to negative information
Citation Sources tab
The Citation Sources tab reveals where AI models are pulling citations from in your niche — broken down across five source categories — and surfaces the specific pages your brand is missing from. Navigate to it by clicking the "Citation Sources\" tab at the top of the Analytics page.
Requires citation check data
The tab shows two main sections:
| Section | What it shows |
|---|---|
| Citation Source Breakdown | A donut chart and category table showing how citations in your niche are distributed across Community/Social, Video, Review, Authority, and General sources. |
| Competitor Citation Leaders | A table of specific external pages receiving citations from AI models in your niche where your brand is not mentioned — your highest-leverage citation gaps. |
The Citation Gap Score
The Citation Gap Score appears as a badge next to the "Citation Source Intelligence" card title. It represents how many more citation interactions your competitors are receiving compared to your brand across these source categories.
| Badge | Meaning | Urgency |
|---|---|---|
| No Gap | Your citation count matches or exceeds competitors across tracked sources. | Low — maintain your presence. |
| Gap: [n] | Competitors are cited [n] more times across sources where your brand is absent. | Medium — target the top gap sources first. |
| Gap: [n] | A significant citation gap of 20+ means AI models are building a model of your niche that excludes your brand. | High — immediate action needed. |
Earn a Mention workflow
Every row in the Competitor Citation Leaders table has an Earn a Mention button. Clicking it opens a targeted outreach strategy modal tailored to the source type of that specific page. The modal contains:
- A 3-step Action Plan specific to the source category (Reddit, G2, YouTube, Wikipedia, etc.)
- An editable Outreach Template with your brand name pre-filled and placeholders in [brackets] for customization
- A Copy Template button to copy the full message to your clipboard
- An Open Source button to open the target page in a new tab
For a deep dive into the outreach strategies for each source category, see the Citation Source Intelligence documentation.
Date range filters
All Analytics charts support three date ranges:
- 7 days — For monitoring recent campaigns or content launches
- 30 days — Standard monthly performance view
- 90 days — Quarterly trend analysis
Exporting SOV data
The SOV Export button (top-right of the Analytics page) generates a CSV export of your full SOV data including all competitors, their citation counts, platform breakdown, and date range. This is useful for:
- Client reporting (agency plans)
- Importing into BI tools for custom dashboards
- Historical trend comparison outside the app