AEO

Read your AI Visibility score

What does my AI Visibility score actually measure?

AI Visibility is a rank score. Synup asks ChatGPT, Gemini and Perplexity a set of discovery questions about your category and city, then scores each answer on whether you were named and how near the top. Nothing else feeds it: not your rating, not your review count, not your directory listings.

That is the most useful thing to know about this page, because the Visibility factors card underneath the score measures different things.

Watch: Read your AI Visibility score

Key facts

Where it livesAEO → Overview, for one location
What it scoresWhether and how high each engine names you across the discovery questions, 0–100
What it ignoresReviews, ratings, listings and anything else that is not a rank in an answer
The labelExcellent, Good, Average, Below average or Low, from the score bands below
How it movesIt changes when the location's report updates, on its schedule or when refreshed by hand

Steps

  1. Open AEO, choose the client and location, and stay on Overview.

  2. Read the score and its label first, in the gauge.

  3. Read the five cards across the top (see below), then the prompt grid.

  4. Read Visibility factors last, as a list of places to investigate.

What the Overview is showing you

The Overview has three parts that read together. The row of five cards gives the quick read, the gauge gives the score and its label, and the engine cards beside it show how that score splits by engine.

The five cards across the top of the Overview for an Excellent location: AI Visibility 81 out of 100, Mention rate 91 percent, Avg position 2, Prompts covered 15 of 16 with 1 excluded, and Sources cited 19

The score card for a location scoring 49: a gauge in amber with the label Average and the message Moderate visibility, with clear opportunities to improve, and three engine cards for ChatGPT 61, Gemini 35 and Perplexity 50, each with a bar and a comparison badge

Each engine card shows that engine's own score and an arrow with a percentage, which compares it with the previous stored report. The engine cards are colour-coded on the same 60 and 30 scale as the gauge. An engine that is not available in your account shows Add the API key to track followed by the engine name instead of a score.

Why a score can sit next to a weak factor

Here is the Visibility factors card for a location scoring 49:

The Visibility factors card showing Relevance 49, Reviews 38, Engagement 65, Freshness 100 and Citations 36, each with a link to the area that changes it

Only one of those five is inside the score.

Factor, and what it measuresFeeds your AI Visibility score?
Relevance: how visible you are across the discovery questionsYes, this is essentially the score itself
Reviews: your rating and review-volume signalNo
Engagement: the share of answers that mention youNo
Freshness: how recently the listing was updatedNo
Citations: directory citation coverageNo

In this example Freshness is a perfect 100 while the score is 49, and Reviews is 38. Neither is a contradiction. The score records what happened in the tracked AI answers, and the factors report separate signals. The factors are measured when the report is generated, so they can differ from what Reviews or Listings show right now.

Read the factors as places to investigate, not as inputs to today's number or proof of why an engine ranked you. A low factor can help you choose what evidence to inspect next, but this report does not establish that changing it caused, or will cause, a change in visibility. Beside each factor is a link to the area that moves it: Target prompts, View reviews, Update listing or Fix citations.

The five cards across the top

The row of cards is the fastest read on the page, and each answers a different question.

CardExample aboveWhat it tells you
AI Visibility81/100How often and how highly you are named
Mention rate91%The share of answers you appear in at all
Avg position2Where you land when you appear. Lower is better
Prompts covered15/16 · 1 excludedQuestions where at least one engine named you, out of all questions. An excluded question is one where the engines only asked for your location, and it is not counted as a miss
Sources cited19A coverage total: directory sources found, other sources detected and key directories still missing

Each card also shows how it changed since the previous stored report, and the AI Visibility and Sources cited cards add a small trend line once there are two months of reports.

Mention rate and Avg position are the pair to watch together. A high mention rate with a poor average position means you appear often but usually lower in the answer.

Sources cited is not a count of sources citing you. It is a coverage total, so it can be well above zero when your visibility is very low.

The five cards for a Low location: AI Visibility 7 out of 100, Mention rate 13 percent, Avg position 9.8, Prompts covered 5 of 16 and Sources cited 16

This location scores 7/100, is named in 13% of answers, and still shows 16 sources cited. That does not mean 16 sources cite the business. It shows that source coverage and business visibility answer different questions. Its chips under the page title say the rest: Absent on 11 prompts and #3 of 3.

The bands, and what they're called

ScoreLabel the product shows
81–100Excellent: "Strong visibility, well positioned when customers ask an AI assistant."
61–80Good: "Good visibility, with room to improve."
41–60Average: "Moderate visibility, with clear opportunities to improve."
21–40Below average: "Limited presence. AI assistants rarely bring you up."
0–20Low: "AI assistants almost never mention you yet."

The gauge for an Excellent location, reading 81 in green with the label Excellent and the message Strong visibility, well positioned when customers ask an AI assistant

The gauge for a Low location, reading 7 in red with the label Low and the message AI assistants almost never mention you yet

The boundaries are tighter than they look: 80 reads Good and 81 reads Excellent. Don't let the label do more work than the number.

There is a second scale on the same page. The gauge colour and the Strong, Fair and Weak chips on the roll-up use 60 and 30: green from 60, amber from 30 to 59, red below 30. So a score of 65 is labelled Good and shown in green, while a 55 is labelled Average and shown in amber. The label and the colour use different cut-offs, so read both.

Sydekick's read, and when to trust it

Above the page title you may see a Sydekick's read bar, or a line saying there is no read for the page yet with a Write one button. It produces a one-sentence summary of what Sydekick sees. It depends on Sydekick being available in your workspace.

Treat it as a prompt to look, not as a finding. It is a one-sentence summary and can overweight a single absent prompt. The numbers on the page are the authority.

What you'll see when it's done

  • A score and label you can place in a band
  • A clear picture of which of the five cards and which engine explains it
  • A short list of factors to investigate, kept apart from the score

Watch out for

  • A factor is not an input. Only Relevance tracks the score.
  • Sources cited is not a count of mentions. It stays above zero at zero visibility.
  • Label and colour use different cut-offs. Read both.
  • The numbers change with the report. Compare your own location from one report to the next, not with an example.

Where to go next

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