Where AI Assistants Cite NestPath

Where the AI sessions came from

Unique non-bot sessions referred from each AI tool over the last 30 days. Source — Microsoft Clarity referrer report (non-bot sessions, 30-day rolling window).

The 10 pages AI tools cited most

Entry pages for sessions referred from ChatGPT · Claude · Perplexity · Microsoft Copilot. 8 of 10 are Homeowner Hub product reviews; 2 are Blog content.

• Source: Microsoft Clarity referrer report for nestpath.com.au, non-bot sessions only.
• Window: rolling 30-day period ending 16 May 2026. Refreshed monthly on the same date each cycle.
• Attribution:referrer is captured at the visitor's session-entry timestamp. We count each unique session once, not pageviews.
• AI tools tracked: chatgpt.com (ChatGPT), claude.ai (Claude), www.perplexity.ai (Perplexity), copilot.microsoft.com (Microsoft Copilot). We will add others — gemini.google.com, you.com, kagi.com — as they appear in the referrer data.
• What this does NOT include:AI-tool sessions that arrive without a referrer header (some in-app browsers, some private-mode sessions, some app links), Google AI Overviews impressions (those route as standard Google referrals), and citations that don't result in a click.
• Verifiability: Each AI tool above includes our pages in its responses to live AU buyer queries. Anyone can reproduce this by asking ChatGPT, Claude or Perplexity an open question about Australian mortgages, first-home-buyer grants or appliance buyer guides, then following the citations.

Why we publish this

Three reasons NestPath chooses to publish citation data instead of just measuring it internally.

• Accountability.The AU first-home-buyer space is full of unverifiable trust claims ("recommended by experts", "trusted by thousands"). Publishing a measurable, dated, reproducible citation count is the opposite of that — a buyer can verify it themselves.
• Operational signal. AI citations skew toward content with structured data, transparent methodology, and clear AU-specific framing. Tracking this monthly tells us which of our pages are doing those things well — and which need work.
• Open data ethos. We already publish the underlying picks dataset at /data under CC BY 4.0. This page extends that ethos to our own measurement layer.