Analytics
Analytics provides per-project details across seven focused tabs. Select a project from the Dashboard, then use the Week Range Picker in the header to filter by date or aggregate across multiple runs.
Beacon FinanceActive
beaconfinance.co · 6 queries · ChatGPT, Gemini · Week-over-week
Brand Visibility — Weekly
Weekly share · beaconfinance.co vs competitors · 6 weeks
Tab 1 — Performance
Performance gives you the headline view for a project: how visible your brand is across AI providers, and whether that visibility is improving or at risk.
AI Visibility Score
A composite 0–100% score measuring how prominently your brand appears across LLM responses. Learn more about Visibility Scores & GEO Optimizations.
Share of Voice
Your brand citations divided by total citations across all tracked domains. Tells you what share of the AI answer space you own in your category. Learn more about SoV Benchmarks.
Brand Visibility Chart
A trend chart plotting your visibility score over time against your competitor average. Use this to detect whether a content or product change moved your citation rate.
Provider Breakdown
Shows how many unique domains each provider (ChatGPT, Gemini, Claude, Perplexity) cited across your tracked queries. The count uses unique domains, not raw citation count, so providers that return many grounding chunks (like Gemini) do not appear inflated. Each row shows “unique domains · queries covered / total queries” and a percentage of the global unique-domain pool. Values can sum past 100% because providers share overlapping domains — this is intentional.
Crawled, Not Cited
Shows brand domain URLs that at least one AI provider fetched or searched during a run but did not include in its final answer. These are actionable: the provider reached your page but chose not to cite it, which often means the content was found but did not meet the provider's relevance or format threshold. Clicking through shows which queries and providers are involved.
Tab 2 — Comparison
Comparison ranks your brand against competitor domains across every tracked query and provider. Use it to identify which competitors are displacing you and where.
Competitor Leaderboard
Ranked table comparing domains by citation count, query coverage, and provider spread. Your brand domain is highlighted. Domains with zero citations appear at the bottom — these are gaps where competitors are winning unchallenged.
Provider Share Breakdown
Cross-tab comparison showing each domain's citation presence broken down by provider. Use this to spot provider-specific biases — for example, if Claude cites you reliably but Gemini consistently skips you, that signals a content or schema issue specific to Gemini's grounding behavior.
Tab 3 — Content Gap
Content Gap focuses on the queries where a competitor is cited by at least one provider and your brand is not. Every entry in this tab represents a query where you are losing AI answer share to a named competitor.
Content Gap Matrix
The table lists only queries where a competitor is cited but your brand is absent — it does not show all queries. The title shows the count of gap queries. For each row you see: the query text, a Traffic Risk score (estimated monthly visits at risk if AI ignores you for this query), the competitor domains cited (shown as red chips), and a “View query” link that opens the Queries tab pre-filtered to that query for full citation details.
No-Gap Empty State
When no gap queries exist, the matrix shows a confirmation message. This means your brand is cited alongside every tracked competitor for all queries in the current date range.
SERP vs. LLM Gap
Three-column card comparing organic Google rankings against AI citation behavior for the same domains. “Visible in Google, Ignored by AI” identifies pages with organic presence that AI providers skip — these are AEO optimization targets. “Cited by AI, Missing from SERP” shows domains AI prefers that Google does not surface, often niche publications, forums, or GitHub. “Strong on Both” lists domains authoritative across both channels. Hover any domain in any column to see a popup listing which queries it appeared in.
Similar Domains Detection
When domains across the SERP vs. LLM columns share near-identical root names (within two characters, or one containing the other), a warning banner appears at the top of the card. Those domains are highlighted in amber with a warning icon in their row. Near-identical names can indicate typosquatting or traffic-capturing subdomains that are capturing citation traffic from your brand's name — investigate highlighted entries.
What Gets Cited
Shows page-feature patterns across all cited URLs: content features (FAQ schema, comparison tables, article schema), word count distribution, and schema types. Helps identify which content characteristics are most common among cited pages so you can replicate them on your own pages.
AI-Generated Content Briefs
Click “Generate Brief” on any gap query in the Queries tab. Cite AI reviews the query context and creates a structured content brief — including gap summary, recommended content type, topics to cover, claims to verify, a suggested outline, and competitor evidence — that your content team can act on.
Tab 4 — Queries (Query Explorer)
The Queries tab lets you inspect individual queries in detail. Each query card shows citation results, provider-level grounding traces, and a per-query AEO optimization checklist.
Per-Query Citation Details
Expand any query to see each cited URL: domain, provider, citation position (top/middle/bottom of the AI answer), SERP rank, page type, and sentiment toward your brand. Useful for understanding why a page was cited and at what prominence.
Searched vs. Cited (Grounding Traces)
For providers that expose search grounding data (Gemini and Claude), the Queries tab shows what the provider searched and what it ultimately cited. If your page appears in the search results but not in the final citations, it was fetched and rejected — the content format or relevance likely needs improvement.
AEO Optimization Checklist
Each query card includes a checklist of recommended actions specific to that query. When a site audit has been run, the checklist shows the target page URL from your domain that should rank for this query, and actions are tailored to that page (content depth, tabular data, FAQ schema). If no site audit exists, page-level actions are replaced with a single prompt to run a site audit first — this prevents directionless recommendations when the target page is unknown.
Tab 5 — Citations
Citations shows the full universe of URLs and domains cited across all queries and providers for the selected date range.
Consensus Mapping
Tiers domains by how many providers cite them: Universal (cited across all providers), Strong, Partial, or Single. Universal citations represent the most stable, authoritative references — these domains have broad AI answer-engine consensus. Single-provider citations may reflect provider-specific training data or grounding index differences.
Export Citation Logs
Download the full citation dataset as a CSV. Useful for combining with other reporting tools or for sharing raw data with stakeholders.
Tab 6 — Sentiment
Sentiment breaks down how AI providers frame your brand when they mention it — positive, neutral, or negative — across the different answer engines.
Attribution Sentiment
Shows positive, neutral, and negative mention counts per provider. A high volume of citations is only valuable if the framing is favorable. Negative sentiment can indicate an AI model associating your brand with criticism or disputes surfaced in its training sources.
Tab 7 — Volatility
Volatility tracks citation stability over time. Requires at least two completed runs to compute. High volatility means the AI sources for a query are changing significantly between runs, which makes citation gains harder to sustain.
Link Gains & Losses Timeline
A chronological log showing when your brand or competitor domains were added or removed as citations between report cycles. Each entry shows the domain, provider, query, and direction (gained or lost).
Volatility Metrics
Four KPIs: total citation changes, brand gains, brand losses, and unique competitor domains with changes. Use these to quantify how stable your AI citation presence is. Learn how to stabilize Volatility.
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