The estimated share of available organic clicks your site captures across a keyword set — one number for how present you actually are.
Search visibility estimates what percentage of the possible clicks for a set of keywords your site is winning. It combines where you rank with how much traffic each position typically earns, so ranking third for a high-volume term counts for far more than ranking first for something nobody searches. Where average position tells you where you sit, visibility tells you how much of the opportunity you are actually taking.
Define the keyword set deliberately — it determines the number entirely, and a set padded with easy branded terms will flatter you into complacency. Track visibility for a fixed, commercially meaningful set, segment it (branded versus non-branded, by product line, by funnel stage), and benchmark it against named competitors so you can see share moving between you. Read it as a trend rather than an absolute: the modelled click curves behind it are estimates, so month-over-month direction is trustworthy while the precise percentage is not.
Visibility earns its place because it survives the AI-era reporting problem. As AI Overviews and answer panels absorb clicks, average position becomes less honest — you can hold position one and lose traffic — while a click-weighted share metric shows the erosion for what it is. Use it as the bridge metric between rankings and revenue in exec reporting: rankings are too granular for a board, revenue too lagged for a quarterly review, visibility moves in between and is defensible. State the caveat out loud, though — it is a modelled metric, and if you present it as fact once you will spend the next meeting defending the model instead of the strategy.
I turn concepts like these into quarterly roadmaps and measurable organic revenue for SaaS teams.
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