How AI describes folk
As of September 25, 2026, folk appeared in 2,032 AI answers across 1 assistant, with strongly positive sentiment.
Lightweight CRM that aggregates contacts from email, LinkedIn, and apps. Below: what AI search surfaces actually say when buyers ask about folk.app.
Compiled by Lynceus from third-party AI answer data
Data refreshed September 25, 2026
Surfaces checked for this report: Google AI Overview (50 answers). Not checked: ChatGPT, Claude, Gemini and Perplexity.
Total mentions
2,032
across AI search surfaces
Sentiment
+0.76
Strongly positive
Surfaces seen
1
AI search surface
Coverage by model
Which LLMs talk about folk most?
Notable prompts
The questions where folk surfaces
- → "rolodexes"
- → "cost for linkedin premium"
- → "how much linkedin premium"
- → "how much is the linkedin premium"
- → "how delete iphone contact"
- → "how delete iphone contacts"
Source coverage
Where the LLMs get their information about folk
The most-cited source is youtube.com (109 citations). Third-party coverage is doing more of the work shaping how AI describes folk than folk's own pages — a typical pattern for brands without a tight content strategy on their site.
What to do about it
How folk can change how AI describes it
folk already appears in AI answers, so the work is about prominence and accuracy — moving from "mentioned" to "recommended," and making sure the framing is the one folk would choose. Three levers do most of the work:
- 01Be extractable. Publish answers to real CRM buyer questions in clean, self-contained passages a retrieval layer can lift without guessing. See how to optimize for AI citation.
- 02Earn the right citations. AI assistants quote sources they trust. Getting onto the third-party roundups and reviews they already cite moves the needle more than on-site changes alone.
- 03Measure, don't guess. Track folk's share of paragraph across assistants over time so you know which changes actually shifted the answer. See how to measure AI visibility.
How we measured this
The methodology behind this report
This report is built from AI search answers that mention or cite folk.app, pulled from a third-party index of AI answers. We count them by surface, record which sources each answer cites, and score how positively folk is framed. Surfaces checked for this report: Google AI Overview (50 answers). Not checked: ChatGPT, Claude, Gemini and Perplexity. Until all four assistants are collected, read this page as a view of the surfaces named above, not of AI search as a whole.
A "mention" means the answer named folk or cited a page on folk.app; sentiment is a keyword score of how positively the answer reads. The questions are the search queries that index holds for folk.app, not a prompt panel Lynceus wrote, so some are only loosely related to CRM. Quotes appear only when at least 3 whole sentences from the data are about folk. This snapshot was last refreshed September 25, 2026.
Source: DataForSEO LLM Mentions, a third-party index of AI search answers, retrieved September 25, 2026. Lynceus did not write or run the questions behind these answers.
Limitations
- Surfaces checked for this report: Google AI Overview (50 answers). Not checked: ChatGPT, Claude, Gemini and Perplexity.
- Sentiment is a keyword count over the answer text, not a human rating.
- This is one snapshot, not a trend. AI answers change between runs.
Same category
Other crm tools
Curious how AI describes your brand?
The same data engine that built this page runs on any domain. Free check, no card, results emailed to you.
Run my visibility check