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Paste these into an AI client connected to Cited. They’re starting points — edit the brand, category, or platform to taste.

See where you stand in your category

Using Cited, get the latest Cited Index for the skincare category and show me the top 5 brands with their scores and sentiment.
Calls get_cited_index — India’s AI-visibility ranking. No brand needed; any key can read it.

Check your AI shelf

Using Cited, list my brand’s AI shelf products from the last 14 days on ChatGPT. Which ones are mine vs a competitor, and where am I ranked?
Calls list_brandsget_ai_shelf_products. Requires the Scale plan or higher.

Scope your tracking

Using Cited, what platforms, competitors, and topics is my brand tracking?
Calls list_dimensions — handy before asking a more specific question.

Agency: sweep every brand

Using Cited, list all the brands I can access. For each one, pull its tracked topics and its AI shelf summary, and give me a one-paragraph status per brand.
Calls list_brands, then loops list_dimensions / get_ai_shelf_products per brand — the Monday-morning portfolio check, automated. Works with a multi-brand (agency) key.

Compare your visibility across platforms

Using Cited, show my brand’s visibility over the last 30 days broken down by AI platform, and tell me which platform I’m weakest on.
Calls list_brandscube_slice with metric: visibility, breakdown: platform. These are the same numbers as the dashboard — the tool returns each row’s numerator and denominator, so you can see the sample behind every percentage.

Find which sources own your category

Using Cited, give me my citation mix for the last 30 days, per platform. Which source types dominate, and how much of it is my own domain?
Calls cube_category_mix — citation share across the six source categories (owned, competitor, earned media, aggregator, community, other). This is the read that tells you whether your problem is on your own site or off it.

Drill into a domain that keeps citing your category

Using Cited, drill into the top cited domain for my brand and break it down by page. Which single page drives most of those citations?
Calls cube_drill. Each child carries share-of-parent and global share, so your assistant can distinguish “most of this domain’s citations come from one page” from “this page is a large share of all our citations.”

Ground the assistant before it guesses

Using Cited, call list_metrics and tell me which metrics and breakdowns are available before you answer anything else.
Calls list_metrics. Worth doing once at the start of a session — an unknown metric name is a tool error rather than an empty result, and this stops the assistant inventing one.
Using Cited, show my citation rate for the last 30 days broken down by AI platform, alongside my citation share. Where do AI answers mention me but link someone else?
Calls cube_slice twice — metric: citation_rate (of the answers that mention you, the share citing your own site) and metric: citation_share (your slice of the category’s whole source pool). A high mention rate with a low citation rate is an on-site problem; a healthy citation rate with a low share means the category’s source pool is simply crowded.
citation_rate cannot be broken down by domain — its denominator is answers mentioning your brand, which has no source dimension. Use citation_share for a per-source view.

Coming soon

Once Cited’s action tools land, recipes like these light up:
Using Cited, pull my citation share on Perplexity this month vs last, broken down by topic. Then draft a content brief for my biggest gap and add it to my tasks.
The first half of that already works today with cube_slice; the brief and the task are what’s coming.
Tip: save your favorite prompts as reusable commands in your client (e.g. a Claude Code slash command or a Cursor rule) so your team runs the same checks the same way.