# Profound

Canonical: https://thelazyweb.com/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

[Profound](<https://www.thelazyweb.com/authors/profound/>)

Source observed: 2026-09-20T21:38:41.393Z. Last checked: 2026-10-08T02:05:33.751+00:00.

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