Citations and sources
When AI models recommend brands, they're drawing on the content they've read across the web. The pages, publications, and platforms they cite shape the answers they give.
SimplyRank tracks citations so you can see which content is influencing AI's recommendation of your category — and where that content is missing for your brand.
What a citation is
A citation is an external source (a URL, publication, or platform) that an AI model references in its response. Examples:
- "According to a recent G2 review..."
- "Trustpilot ratings show..."
- "As reported by The Guardian..."
- "Wikipedia describes them as..."
- "On Reddit's r/marketing..."
Some models (Perplexity especially) display citations as inline links. Others (ChatGPT, Claude) reference them in the prose. SimplyRank parses both.
Brand visibility vs. source visibility
Two related concepts that often get conflated:
| Term | What it tracks | Example |
|---|---|---|
| Brand visibility | Whether AI mentions your brand in its answer | "We mention Stripe alongside Square and PayPal" |
| Source visibility | Which external sources AI cites in its answer | "We cite a TechCrunch article and a G2 review" |
You want both. Brand visibility tells you whether AI is recommending you. Source visibility tells you why — which third-party signals are doing the work.
What's in the Citations dashboard
The Citations page (Pro+ plans) shows:
- Most-cited domains — which sites AI references most often when answering your prompts.
- Citation context — for each domain, the specific URLs being cited and the prompts that triggered them.
- Brand vs. competitor citations — when AI mentions your competitor and cites a source, you can see what that source is.
This is one of the most actionable pages in SimplyRank. If AI cites G2 reviews of your competitor 30 times and your G2 listing is sparse, that's a clear gap.
Common citation sources by category
The pattern varies by industry, but here's what we typically see:
| Category | Heavily-cited sources |
|---|---|
| B2B SaaS | G2, Capterra, TrustRadius, Reddit, news (TechCrunch, The Verge), the brand's own site |
| E-commerce / DTC | Trustpilot, Amazon reviews, Reddit, news, comparison blogs |
| Healthcare | NHS.uk, Mayo Clinic, news health sections, professional registers, Trustpilot |
| Local services | Google Maps reviews, Trustpilot, Yelp, local news, the business's own site |
| Tech / dev tools | GitHub, Stack Overflow, Hacker News, Reddit (r/programming), official docs |
How to use citation data
Three plays you can run with the Citations page:
1. Earn missing citations
If a domain cites your competitor heavily but never cites you, that's a target. Pitch the publication. Improve your listing on the platform. Get added to that comparison post.
2. Refresh stale citations
Old citations decay. A 2019 review on G2 doesn't carry the same weight as a 2025 one. Audit your major listings and request updates from happy customers.
3. Cross-reference with content
If AI cites a comparison post that you're absent from, ask the author to add you (most are open to it if your product fits). If the post is on your competitor's site, the answer is to publish your own competitor comparison.
What citations don't tell you
- Causality. A site being cited doesn't prove it's why your competitor wins. It's correlative — strong signal, not proof.
- Click-through. Citations don't necessarily mean users clicked through. They influence the AI's answer, but the user's action depends on the answer's wording.
- Full provenance. AI models don't always reveal every source they used. SimplyRank captures what's surfaced in the response, not the model's full training-data reasoning.
What's next
Still need help? Email us at [email protected]. Or browse all help articles.