We Tested 7 AI Tools for 30 Days — Here's What Actually Worked

What we expected: A comment analytics tool that would be mildly useful.
What we got: The single most impactful tool in the test.

On day 3, Audience IQ surfaced a question that appeared in 23 different comments across our last 10 videos — a question we had never thought to answer directly. We made a video specifically addressing that question. It became our best-performing video of the month, with 3x our average view count.

The superfan identification feature also changed how we engage with our audience. Instead of trying to reply to every comment, we prioritized the 12 people Audience IQ identified as our most engaged viewers. Three of them became paying members within the month.

What we expected: A gimmicky "edit by text" tool that wouldn't be as useful as a real editor.
What we got: A 60% reduction in editing time.

Before Descript, editing a 15-minute video took us 3–4 hours. With Descript, the same video takes 60–90 minutes. The filler word removal alone saves 30 minutes per video. The transcript-based editing means we can find and cut any section in seconds instead of scrubbing through a timeline.

We also used Overdub twice to fix mistakes we discovered after publishing — a mispronounced name and an outdated statistic. Both fixes took under 5 minutes and were completely undetectable.

What we expected: Decent short clips with some manual cleanup needed.
What we got: 4 Shorts from every long video with minimal editing, and a 34% increase in subscriber growth rate.

We published 32 Shorts during the 30-day test (4 per video × 8 videos). Our subscriber growth rate increased by 34% compared to the previous month, almost entirely attributable to Shorts. The clips Opus Clip selected were consistently better than what we would have chosen manually — it has a genuine sense for what moments are shareable.

What we expected: Incremental SEO improvements.
What we got: A 22% increase in average CTR from A/B thumbnail testing.

We ran A/B thumbnail tests on 5 of the 8 videos we published. In every case, the winning thumbnail outperformed the losing thumbnail by 15–40% on CTR. The aggregate effect was a 22% increase in average CTR across the channel. More clicks from the same impressions means more views without any additional SEO work.

What we expected: Useful keyword data.
What we got: Useful keyword data, plus a competitor alert that led to our best video idea of the month.

VidIQ's competitor tracking alerted us when a competing channel published a video that was getting unusually high views per hour. We analyzed the topic, found a related angle they hadn't covered, and published our own video within 48 hours. It ranked on the first page of YouTube search and drove 40% of our total views for the month.

What we expected: Impressive AI voice that we'd use constantly.
What we got: Impressive AI voice that we used for specific use cases only.

ElevenLabs is genuinely impressive — the voice quality is indistinguishable from a human in most cases. But for a channel where the creator's personal voice is part of the brand, it's not something you'd use for main videos. We found it most useful for intros, outros, and one "faceless" explainer video we tested. For creators building faceless channels, this would be a Tier 1 must-have.

What we expected: The best AI writing tool available.
What we got: A good tool that we didn't need at this stage.

Jasper is genuinely excellent — the brand voice training and long-form document quality are impressive. But for a solo creator using it primarily for YouTube descriptions and social captions, Copy.ai's free tier does 80% of the same job. At $39/month, Jasper didn't justify the cost for our use case. We cancelled after the test. We'd revisit it if we were producing blog content at scale or managing content for multiple brands.