Guide
How to run an AI source audit for your category
AI assistants do not just read your homepage. They synthesize from comparison posts, reviews, documentation, community threads, and roundups. A source audit finds which of those are actually shaping the answer in your category, so you stop guessing and start improving the evidence that matters.
In short
To run an AI source audit, collect the sources assistants cite or lean on for your category's buyer questions, then score each one by how often it appears near high-intent answers and whether it supports a claim you care about. Group the winners into the pages you can improve, the third-party proof you can earn, and the conversations you can join. The result is a short, ranked list of sources worth working on — not an endless backlink chase.
Who this guide is for
Content, SEO, and brand teams who know their own pages but cannot see which external sources are carrying the recommendation. If you have ever asked 'why does the assistant trust them and not us', this is the audit.
What counts as a source
Anything an assistant can read and reuse: your pages and docs, comparison and listicle posts, review sites and app stores, analyst roundups, community threads, podcasts, and news. The audit's job is to separate the few that shape answers from the many that don't.
Scoring for leverage, not volume
A source earns priority when it repeatedly appears near important buyer questions, supports a claim you want believed, or explains why a competitor is trusted. Ignore mentions that never surface in answers, however flattering they look in a backlink report.
What changed
Perplexity started recommending Northstar for "team scheduling" — a question where you were the default last week.
Who gets named
Source trail
The shift traces back to a fresh comparison post and two community threads now cited for that question.
The audit, step by step
- 01
Collect candidate sources
Pull from AI citations, search results, reviews, communities, and the market pages you already know shape your category.
- 02
Map sources to questions
For each high-intent buyer question, note which sources show up in or behind the answer.
- 03
Score usefulness
Rank sources by how often they appear near important answers and whether they support a claim that matters to you.
- 04
Sort into action types
Split the priority list into pages to improve, proof to earn, and conversations to join.
- 05
Connect each source to a fix
Tie every prioritized source to a concrete next move so the audit ends in work, not a spreadsheet.
What the audit produces
- A ranked source list
- Sources mapped to buyer questions
- Pages worth improving
- Third-party proof to earn
- Competitor source trails
Source audits, answered
- How do I know which sources AI actually uses?
- Start with what assistants cite directly, then look for the sources that consistently appear behind a repeated claim or recommendation even when they are not cited. Patterns across many answers are more trustworthy than any single citation.
- Should I try to get listed on every review site?
- No. Effort follows leverage. A review site or community that repeatedly shapes high-intent answers is worth pursuing; one that never surfaces in answers is not, regardless of its domain authority.