We asked ChatGPT, Gemini, Claude, and Perplexity about tl;dv. Here are their unfiltered opinions and who they recommend.

Two views of the same scan — by the questions buyers ask, and by the engine answering them.
Where the 68/100 comes from — reds are where AI hurts tl;dv most.
The four engines rarely agree — the gap is the story.
Kairosy asks ChatGPT, Gemini, Claude, and Perplexity the questions real buyers ask about tl;dv — is it worth it, common complaints, head-to-head comparisons, best-in-category shortlists, trust checks. Every answer is classified (positive / neutral / negative / prefers-competitor / doesn't-know) and scored; the 0–100 score is the weighted average. Quotes on this page are unedited engine output from the 2026-08-05 scan.
Three of these engines put tl;dv at 73, 73 and 74. Claude puts it at 52, and Claude is also the one that calls the free plan misleading.
tl;dv is named in all 24 answers and clears the trust and head-to-head questions at 98 apiece. What it does not clear is the recording itself. tl;dv's AI reputation is 68/100 and the verdict is At risk — favourable in 60% of answers, recommended in 54%.
“The top alternatives to tl;dv.io are usually Fireflies.ai, Fathom, and Otter.ai.”
ChatGPT names Fireflies.ai, Fathom and Otter.ai as the usual alternatives, which places tl;dv inside a field of three rather than at the head of one.
“Fireflies.ai — Best for integrations with 70+ tools like Slack, Salesforce…”
Claude's reason for Fireflies.ai is integration count — 70-plus tools including Slack and Salesforce — a number tl;dv has to answer with a number of its own.
“transcription/summarization inaccuracies, pricing being high for the value, and clunky…”
Perplexity lists transcription and summarisation inaccuracies alongside pricing it judges high for the value, then adds a clunky experience on top.
“* *Grain:* Best for video clip sharing [get…”
Gemini's answer lands on a competitor and leaves the reasoning off the page, so the preference registers with nothing behind it for a reader to argue with.
Same scan, same questions — tl;dv in the competitive context AI itself brought up. Peer names link to their own live reports.
| Brand | AI score | Position | Share of voice | Verdict |
|---|---|---|---|---|
| tldv.io | 68 | 41% | At risk | |
| Fireflies.ai | 64 | 15% | At risk | |
| Otter.ai | 59 | 6% | At risk | |
| Fathom | — | not scanned yet | 7% | scan it → |
| Grain | — | not scanned yet | 6% | scan it → |
The first two answers here are ChatGPT's and the last two are Claude's. The complaint pair describes one failure from opposite sides: the recording that never happened.
What are the most common complaints or downsides of tldv.io?
“users report the notetaker bot sometimes not showing up, meeting transcripts struggling with accents or overlapping speech, and speaker attribution getting…”
ChatGPT starts its complaint list with the notetaker bot sometimes not showing up, then transcripts struggling with accents and overlapping speech, then speaker attribution drifting. A recorder that misses a meeting gets no second attempt at that meeting.
What are the best alternatives to tldv.io? Name the top picks.
“The top alternatives to tl;dv.io are usually Fireflies.ai, Fathom, and Otter.ai.”
Asked for alternatives, ChatGPT returns three names in a single breath — Fireflies.ai, Otter.ai, Fathom. Three named substitutes in one sentence is the format that costs most, because none of them has to be argued for.
What are the most common complaints or downsides of tldv.io?
“frequent bugs and recording failures, Problems with your recording, misleading free…”
Claude's version is harsher: frequent bugs, recording failures, and a free plan it describes as misleading. 'Misleading' is a word about intent, and intent is the hardest thing to walk back.
What are the best alternatives to tldv.io? Name the top picks.
“Fireflies.ai — Best for integrations with 70+ tools like Slack, Salesforce…”
Claude's alternative is Fireflies.ai on 70-plus integrations, which reframes the whole choice as a connector count rather than a question about meeting-notes quality. tl;dv loses that framing before the comparison begins.
Two jobs. Fireflies.ai is the name every replacement answer reaches for, and the reliability complaints go straight at the one thing a meeting recorder has to do.
Fireflies.ai, Grain and HappyScribe are what three engines offer when someone asks what else records a meeting. A tldv.io versus Fireflies.ai page written for that question, with integration counts and prices a model can lift, gets tl;dv's own count into an answer currently assembled from Fireflies.ai's.
'Transcription accuracy issues' and 'bugs and recording failures' come off review sites and are being restated as behaviour. Answering them where they were posted, and publishing what the bot's join rate and accuracy actually look like, gives these engines newer material than the complaints.
Data from a live Kairosy scan on 2026-08-05. Quotes are real engine outputs and may change as models update.
Fixes decay as models refresh — set up AI brand monitoring to catch the next shift in tl;dv's answers.
tl;dv owners or competitors? Scan and trace your AI reputation with Kairosy.
Track your brand across ChatGPT, Perplexity, Gemini, and Claude — and get an AI Presence Score that shows whether AI engines recommend you, misunderstand you, or ignore you.

tl;dv scores 68/100 — verdict: At risk — in Kairosy's scan of 24 real buyer questions asked across ChatGPT, Gemini, Claude, and Perplexity on 2026-08-05.
Partly. AI mentions tl;dv in 100% of relevant answers, but only 54% actively recommend it — the rest stay neutral or go blank.
Claude, at 52/100 across 6 answers — versus Perplexity's 74/100. Engine gaps like this usually mean the brand's story lives in sources one model reads and another doesn't.
Yes. AI answers echo sources — review sites, comparison pages, forums — and those can be fixed. The fix plan above lists the moves for tl;dv; a free Kairosy scan generates the same for any brand.

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