Public Sector Officer
AI recommendation signal analysis across 285 domains for the Public Sector Officer persona in Procurement Software.
This report tracks how AI models and search engines recommend companies across 100 industries. If you want the same analysis run specifically against your own site and competitors, get in touch.
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Win the AI Overview box
Google's AI Overviews sit above every organic result and answer the question before anyone scrolls. The domains cited there own that attention. Use these lists to see who Google's AI trusts and which pages earned it, then compete for those citations.
Where the numbers come from
We collect the AI Overview for every industry query, then count each domain's inline citations (links inside the visible answer) and references (the footnote citations behind it). No rank data exists in this source, so these are plain appearance counts.
What's on this page
Two charts: domains cited inline in the AI-written answers, and domains in the supplemental references.
Inline citations vs references
Domains appearing in both charts below, inline citation count next to reference count. A wide gap flags domains Google's AI leans on for research but rarely links in the visible answer, or the reverse.
AI Overview inline citations
Domains linked directly in the AI-written answer body for Public Sector Officer queries: what a user actually sees, not just the supplemental research below. Counted by appearances (no rank field exists in this data, so this isn't a rank-weighted score).
AI Overview references
Domains in the AI Overview's supplemental footnote citations for Public Sector Officer queries: the research behind the answer, not necessarily linked inline in the visible text.