Citations, Sources, Sentiment, Scan history and Alerts

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Citations

An AI answer names brands and cites sources. Citations lists every answer that cited a source for your brand or a competitor, with the question, the engine, how the source was cited, your position in the answer when you were named, and the date. The citation matrix crosses sources with brands: how many citations each source gives to each tracked brand, all time. The shade is that brand’s share of the source’s row; your column carries the numbers.

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Sources

Sources ranks the domains and pages the AI engines pull from when answering your questions.

• Domains — every domain read in the window, with its type (brand, retailer, publisher, community…), its retrievals, and, where the engine reports it, how many were cited versus consulted. Open a domain to see the pages read, which questions cited it, which engines, and which brands appear when AI cites it.
• URLs — the same at page level. The first time an engine cites a page, Bluemoon stores its title and summary.
• Gap analysis — pages the AI reads that are neither yours nor a competitor’s: the ground where being present would put you in the answer.

Sources are counted per market: each market’s answers are read on their own. The Retrievals figure counts every time an engine pulled a page from a domain. Cited and consulted count only the retrievals whose engine reports which of the two it was.

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Sentiment

Sentiment reads the tone of every sentence that names a tracked brand, extracted on each scan.

• How the answers split — positive, neutral, negative, over the window.
• Per brand — average tone of the answers naming each brand, yours against the competitor average, with the aspects (price, quality, support…) where you lead and where you trail.
• Per engine — average tone of the answers naming your brand on each engine.
• The sentences — every sentence about a brand, with the question that produced it.
• Google search × AI sentiment — with Google connected, your branded Google searches grouped by what people are looking for, next to the tone of the AI answers.

Tone is extracted by an AI model from the stored answer; when nothing was extracted in the window the panel says so rather than showing a neutral score.

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Intent map

The Intent page connects what buyers asked, what each engine did with the question, and whether your brand was named — and recommended. It has its own guide: Read the Intent Map.

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Scan history

Settings → Scan history lists every scan, with the engines that answered, the engines that failed and why, and where the answers came from. Open a scan for the per-engine audit. The reasons you may see:

• No AI Overview shown for these queries — Google did not render an AI Overview for the query. An observation, not an error.
• Rate limit or quota reached, Too many parallel requests — the provider throttled the request.
• Missing or invalid credentials, Account credit exhausted — a provider account problem, surfaced rather than hidden.
• Source timed out — retried on the next scan.
• No fallback available for this platform — the primary source failed and the engine has no second route.

A failed poll is excluded from every rate: it is neither a poll nor a miss.

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Alerts

Alerts are computed on every scan and listed on the Alerts page and under the bell in the header. Every alert is always recorded in the app; Settings → Notifications decides whether it also reaches your inbox, and from which severity. The last three read Google Search Console data and stay silent until Google is connected. Rules cannot be switched off one by one.