GEO report: Source Tracker
Source Tracker summarizes inferred citation landscapes for your topic: composite quality scores, how source types and authority tiers mix, and per-prompt actions. It is not a live web crawl or Search Console export—values come from the source-analysis portion of your GEO results. Place PNGs under public/images/docs/ using the keys below.
Indicator: Overall Quality
What it is: a 0–100 headline score with optional status subtext. It is a composite read of how strong the modeled citation environment looks for your prompts—higher means answers in this slice lean on richer, more trustworthy-looking source patterns.
How to read it: use it to set expectations—if overall quality is low, treat the tables below as a signal to improve PR, entity signals, and third-party proof broadly. If it is high but Domain Authority or Freshness lags, you may excel on one dimension and not another (see Source Distribution and By query).
How to use: one number for executive summaries; always pair with Priority gaps and By query for concrete follow-ups.
Indicator: Domain Authority
What it is: Domain Authority in the UI, subtext “Weighted avg. of citing domains.” It reflects relative strength of domains the analysis associated with likely citations for your prompts (this is the product’s own score, not an external SEO tool metric).
How to read it: higher suggests modeled answers cite or imply stronger neighborhoods on average. Very low scores often mean generic or thin venues—use Top sources and By query example domains to see who dominates.
How to use: benchmark category PR strategy—if you need to “play in the same league,” align case studies, reviews, and news targets with domains that already show up as strong in this report.
Indicator: Freshness Score
What it is: Freshness score, subtext “Recency of citations.” It encodes how recent inferred or cited material tends to be in this run.
How to read it: low freshness often means the narrative leans on stable but dated references—acceptable for evergreen categories, risky for fast-moving topics. High freshness suggests timely sources matter—news cadence and recent reviews may drive what the model cites.
How to use: if freshness is low in a news-heavy category, prioritize press rhythm, updated statistics, and clearly dated flagship content; re-run GEO after publishing.
Chart: Source Distribution
What it is: a doughnut chart when category names and shares are present—estimated mix by channel or source type from model inference. Colors are fixed in the app; legend on the right.
How to read it: see which venue types (reviews, news, forums, and so on) dominate the inferred mix. Imbalance points to channel strategy—for example an all-review mix may mean listicles and PR on review sites matter more than blog SEO for this prompt set.
How to use: shift PR and content toward underrepresented types that still matter to buyers, or reinforce channels where you already lead. If the chart is missing, the run did not include a distribution breakdown.
Chart: Authority mix
What it is: a stacked bar of high-, medium-, and low-tier source counts (distinct domains or venues by inferred tier). Segment width is the share of total count; the legend shows raw counts.
How to read it: a bar skewed toward low tier means many modeled sources look weak—harder to win trust against brands cited from top-tier domains. A large high-tier slice means authoritative citations show up often in the simulation.
How to use: pair with Top sources—prioritize partnerships or outreach on domains that can lift the tier mix. If all tiers are zero, add citation-style prompts or re-run the analysis.
Table: By query
What it is: one row per citation-style prompt. Columns: Query; Brand in sources (whether you appear among likely sources); Example domains with authority tier, plus optional source-type tags; Priority action.
How to read it: for each buyer question, see whether your brand is named among likely cited sources. Example domains show who the model treats as typical for that query.
How to use: turn each row into a small plan: listings, page templates, or PR toward domains that matter. The intro card may list prompts that fed source analysis when that data exists. An empty table usually means an older run or missing output—re-run after updates.
Table: Priority gaps
What it is: an ordered list of citation strategy gaps. Each item has a priority badge (high stands out), a short gap title, and optional guidance text. The card explains what to fix first to earn stronger citations.
How to read it: treat high priority items as most blocking for trust; medium as the next wave. Break long guidance into concrete SEO, comms, or product tasks.
How to use: paste into your quarterly citations/PR roadmap; re-run GEO after fixes to see if Overall Quality and By query rows move. Empty: “No gap list in this run.”
Table: Top sources
What it is: ranked rows with a circular authority badge, domain or site name, category, optional estimated share percentage, and a short trend label. Subtitle: by authority score and estimated share.
How to read it: highest-weight domains in the modeled landscape for this report—use them for partnerships, benchmarking, and examples of strong entity presence. Estimated share is relative to this run, not analytics traffic.
How to use: pick a few domains for structured reviews (content format, schema, review velocity) without copying low-quality tactics. If the list is empty, no ranked sources were returned for this run.
