# Profound

Canonical: https://mudpie.ai/authors/profound/
Updated: 2026-09-20

Profound publishes some of the largest public studies of answer-engine citations, volatility and prompt intent. Its numbers are useful when their platform, sample, date and disclosed method travel with the claim.

Source: https://www.tryprofound.com/blog

Description comes from Profound's public research archive; image resolves from its public domain via Unavatar. Checked September 19, 2026.

## Referenced in 101

- [AI platform citation patterns](https://www.tryprofound.com/blog/ai-platform-citation-patterns) — Different answer engines lean on different source stacks, so an aggregate 'AI visibility' score can hide the engine where a brand is actually absent.
- [Citation overlap strategy](https://www.tryprofound.com/blog/citation-overlap-strategy) — Low citation overlap between ChatGPT and Perplexity argues for engine-specific monitoring rather than one universal source strategy.
- [AI Search Shift](https://www.tryprofound.com/blog/ai-search-shift) — ChatGPT's source alignment with Google can change quickly, but even aligned citations do not behave like ordinary position-one search clicks.
- [AI Search Volatility](https://www.tryprofound.com/blog/ai-search-volatility) — Large shares of cited domains changed across a one-month comparison, making one-run visibility snapshots unsafe planning inputs.
- [Introducing Prompt Research Reports](https://www.tryprofound.com/blog/introducing-prompt-research-reports-in-profound) — Prompt-volume claims depend on retrieval, clustering and coverage choices, so the product's own method description belongs beside any market-size number.
- [The data on Reddit and AI search](https://www.tryprofound.com/blog/the-data-on-reddit-and-ai-search) — Reddit is a meaningful but not dominant aggregate citation source; source type, topic and content age matter more than the slogan 'AI loves Reddit.'
- [How to optimize for answer engines](https://www.tryprofound.com/articles/how-to-optimize-answer-engines-2025) — Tables, headings, lists, schema and complete answers are plausible structural signals, but the public study does not publish a causal lift for any one change.
- [ChatGPT intent landmark study](https://www.tryprofound.com/blog/chatgpt-intent-landmark-study) — AI prompt intent does not map cleanly onto classic search intent, so keyword-derived prompt lists can misstate what people ask assistants to do.
- [Prompt Research Reports](https://www.tryprofound.com/features/prompt-volumes/research-reports) — Prompt research is a retrieval-and-clustering problem, not a direct equivalent of exact keyword volume from a search ad system.

This is a Mudpie reference profile, not an account or endorsement. The profile records an authority connected to the source; it is not necessarily the article byline.