AI Visibility Dashboard (the "AI Visibility Report" screen)

What this is for, in one sentence: this is your scoreboard — the four numbers that summarize how visible your brand is inside AI answers, across all five platforms, over time.

When to come here: weekly. This is the screen you check when new results land, the screen you screenshot for a boss, and the starting point for every “why?” question (the answers to which live in the Diagnose modules).

We continue with Sarah at MenuPilot. Her dashboard appears in Setting Up Zicy for the First Time (GS-01) — this article goes deeper on how to actually read it.

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The four numbers, and how to judge them

Each KPI card shows the value, the count behind it, and the change versus the prior period. Hover the little “i” for the definition:

1. Brand Mention Coverage — % of AI answers that named you at all. Sarah’s 41.7% = 25 of 60 responses.

2. Web Citation Rate — % of answers that linked to your site. Expect this to be much lower than coverage — being named is common, being linked is rare. A citation rate at 1/3 to 1/5 of your coverage is a normal shape, not a problem.

3. AI Share of Voice — your share of every brand mention across all answers. Sarah’s 24.3% = 37 of 152 mentions.

4. Average AI Ranking — your average position when AI lists options. Lower is better — and so a falling ranking number is good news. Sarah’s move from 3.0 → 2.8 is an improvement.

“But is my number good?”

The honest answer: there is no universal benchmark — AI visibility numbers depend entirely on your category’s crowdedness and your prompt set. Three comparisons that do mean something:

1. You vs. your competitors — the same numbers for your tracked rivals live on the Competitive AI Performance screen (M-05). Being at 41.7% coverage means little; being second of five brands means a lot.
2. You vs. last month — direction beats level. A brand moving 20% → 30% is winning; a brand parked at 60% may be coasting on old strength.
3. Coverage vs. Share of Voice together — high coverage + low share of voice = you’re often mentioned but rarely the star of the answer. That combination points you straight at Battlegrounds in Key Topics (M-09).

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The radar chart (per-engine coverage)

The five-cornered chart shows your coverage on each platform. Lopsided shapes are normal — Sarah is strong on ChatGPT (58%) and weak on Google AI Overviews (22%). Rather than reading a lopsided radar as failure, read it as a targeting map: each engine trusts different sources, and the Citation Analysis module (M-10) shows which sources move the engine you’re weakest on.

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Performance Trends (and how not to fool yourself)

The trends chart plots your KPIs week by week — remember Zicy measures weekly, so each point is one week and a meaningful trend needs several weeks of history. One or two points is a start, not a story.

Two honest rules for reading trends:

1. Keep your prompt set stable if you want a clean trend. Adding or removing prompts changes what’s being measured — numbers can jump purely because the questions changed, not because your visibility did. When Sarah added 3 pricing prompts, her blended numbers shifted; that’s composition, not performance. If you change the prompt set, mentally draw a line on the chart at that date.
2. Keep your own event log. Note the dates of campaign launches, PR pushes, and prompt-set changes somewhere (even a simple doc). The chart doesn’t display event markers yet, and connecting a metric move to a real-world action is the whole game — especially if you’ll ever need to prove a campaign worked.

The chart plots metrics on two scales (percentages on one axis, ranking on the other) — if a line seems to disagree with a percentage, check which axis it belongs to.

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Filters: slicing the dashboard

Date range — compare periods; the “vs prior period” deltas on the KPI cards follow your selection.

Tag filter — the payoff for tagging your prompts. Selecting a tag recalculates the entire dashboard for just those prompts:

The blended dashboard says Sarah’s coverage is 41.7%; filtered to pricing questions only, it’s 53.3%. Same brand, different question sets, honestly different answers — this is how you find out where you’re strong instead of settling for one average. If your tags exist but this filter feels useless, your tags are too broad; see the tagging system in GS-02.

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The sentiment dial and competitive panel

The sentiment dial gives the one-glance answer to “does AI speak well of us?” (Sarah’s 72 · Positive). The full picture — the exact words AI uses, positive and negative — lives in Brand Sentiment (M-07).

The Competitive Landscape panel previews you against your tracked rivals; the full head-to-head table is Competitive AI Performance (M-05).

Export PDF (top right) builds the board-ready report from what you’re looking at — covered in full in the Report Export article (M-15).

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Common questions

My numbers jumped right after I added prompts — did something happen? Probably not in the market: you changed the measurement. New prompts change the mix of questions, so every blended number recalculates. Judge the new baseline after a stable week or two.

Average Ranking shows “—”. Broken? No — “—” means there were no mentions to rank in the selected period/filter. No mentions, no position. It fills in as soon as you’re named somewhere.

Coverage and citation rate look identical this week — is that right? It can legitimately happen on small prompt sets, but if it persists across weeks, take it as a cue to double-check against the per-prompt view (M-03) before quoting either number.

Which number should I report to my boss? Lead with Share of Voice (the competitive one) plus its trend, then coverage. Better yet: export the PDF (M-15), which packages all four with plain-English definitions.

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What to do next

• Numbers lower than a rival’s? See exactly where: Competitive AI Performance (M-05).
• Wondering which questions drive a number? Open the receipts: Per-Prompt Results (M-03).
• Ready to show someone? Report Export (M-15).