When a buyer asks an AI assistant to recommend a marketing analytics tool, which sources does the model actually pull from to answer? This post looks at one small slice of data to find out. The short version: in a sample of 6 marketing analytics queries run across Perplexity and ChatGPT, the top-cited sources were designrush.com, cometly.com, hockeystack.com, and mixpanel.com, each cited 3 times, from a thin pool of 43 citations across 31 domains.
I’m Andrii Byzov, a fractional CMO for B2B tech. I work on AI search optimization for B2B SaaS, and this is the kind of citation-source data I use to ground that work. This is a small per-category cut, so treat every number as directional rather than precise.
Key takeaways
- The marketing analytics slice had 6 queries, 43 citations, and 31 cited domains.
- The most-cited sources were designrush.com, cometly.com, hockeystack.com, and mixpanel.com, tied at 3 citations each.
- Citations split between vendor sites (Cometly, HockeyStack, Mixpanel) and roundup or review sources (DesignRush, G2).
- No single domain ran away with it, which fits the wider per-category pattern of citations spreading thin.
- The honest read: this is a small sample, so it points to a pattern, not a leaderboard.
What the data covers
This slice comes from a larger citation run across B2B SaaS categories, which produced 1,055 citations overall across 508 cited domains, drawn from 148 queries on Perplexity and ChatGPT. The full picture lives in my AI search visibility benchmark for B2B SaaS. The marketing analytics category is one cut from it: 6 queries, 43 citations, 31 domains. That is a narrow base, so the per-domain counts below are signal, not a ranking.
The top sources AI cited
Here are the most-cited domains in the marketing analytics slice, with their raw citation counts.
| Source domain | Citations |
|---|---|
| designrush.com | 3 |
| cometly.com | 3 |
| hockeystack.com | 3 |
| mixpanel.com | 3 |
| improvado.io | 2 |
| sourceloop.ai | 2 |
| hubspot.com | 2 |
| tableau.com | 2 |
| g2.com | 1 |
| thoughtspot.com | 1 |
A few things stand out. First, four sources tied at the top with 3 citations apiece, so nothing concentrated heavily here. Second, the mix is telling: DesignRush is a roundup publisher, G2 is a review platform, and the rest (Cometly, HockeyStack, Mixpanel, Improvado, Tableau, ThoughtSpot) are vendors citing their own domains. The models appear to lean on both vendor pages and third-party roundups when they answer.
The pattern, and what it means for a vendor
If you sell marketing analytics software, two readings seem fair from this slice.
One, being your own clearest source matters. Cometly, HockeyStack, and Mixpanel each earned vendor-domain citations, which suggests AI engines will quote a vendor directly when the page answers the question cleanly. That rewards structured, extractable content on your own site, the same foundation that underpins generative engine optimization. If your product pages and comparison content are not written to be lifted as a direct answer, you are leaning entirely on third parties to carry you.
Two, the roundups still matter. DesignRush topped the slice, and G2 appeared too. When a model reaches for a “best marketing analytics tools” style answer, it often pulls from listicles and review sites rather than any single vendor. So presence on the roundups and review platforms that get cited is part of the same job, not a separate one. The same dynamic shows up across categories in the AI search visibility benchmark for B2B SaaS: being the cited answer, from wherever the model pulls it, is the new shortlist position.
The combined implication is unglamorous but clear. You want to show up in both places the model draws from: your own well-structured vendor content, and the third-party sources that feed roundup-style answers. Optimizing only one leaves citations on the table. For how engines select and quote sources, see what is AI search optimization.
The honest caveat
This is a small sample. Six queries and 43 citations is enough to suggest a shape but nowhere near enough to call a ranking, and a different set of prompts could reorder the top sources. The four-way tie at the top is itself a sign of how thin the data is. Citation counts also do not tell you whether a source was framed positively or cited as a counterexample. So read the table as a pointer, not a scoreboard.
What the slice does support is the direction. AI engines for marketing analytics queries pull from a blend of vendor sites and third-party roundups, with no single source dominating. That blend is the thing to plan around. No one controls these systems, so the realistic promise is improved odds of being the cited answer over time, not a guarantee. That is the whole job of AI search optimization. If you want to talk through where your category sits, I’m on LinkedIn.
FAQ
Which sources does AI cite most for marketing analytics tools? In this sample of 6 queries across Perplexity and ChatGPT, the most-cited domains were designrush.com, cometly.com, hockeystack.com, and mixpanel.com, each with 3 citations, from 43 citations across 31 domains. Read it as directional, given the small sample.
Do AI engines cite vendor websites or third-party reviews for analytics tools? Both. Vendor domains like Cometly, HockeyStack, and Mixpanel appeared alongside roundup and review sources like DesignRush and G2. No single source type dominated.
How many citations did the marketing analytics category have? The slice covered 6 queries and produced 43 citations across 31 domains, which fits the wider per-category pattern of citations spreading thin rather than concentrating.
What should a marketing analytics vendor do about AI citations? Aim to be present in both places AI pulls from: clearly structured vendor pages and the third-party roundups and review sites that get cited. The goal is improved odds of being the cited answer, not a guarantee.