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AI-Visibility report card

Is Sonix recommended by AI?

Sonix is rarely recommended by AI. Here is its measured AI-Visibility Score, drawn from 4 live AI engines across our 10-category AI-tool audit.

11.8
/ 100 · #44 of 256
5
times recommended
0
times the #1 pick
1
category appeared in
4
of 4 engines named it
What this means

Sonix sits below the short list buyers see

When a buyer asks ChatGPT or Google's AI "what's the best tool for this," only a handful of names make the answer. Sonix earned an AI-Visibility Score of 11.8/100, ranking #44 of 256 measured tools. That is below the three-or-so names most buyers hear when they ask AI for a recommendation, so there is visibility upside to capture.

It was never the top answer in any category we measured, so it appears in the list a buyer is shown but not at the front of it. All 4 engines named it, which is unusual: cross-engine agreement across this study runs low, so a tool present on every engine is not the norm. It competes in one category only, AI transcription and meeting notes, where it places #4 of 8. A tool named in a single category has a narrower surface than its score alone suggests.

AI visibility is winnable and separate from Google rankings: the engines we tested disagreed on the #1 tool in most categories, so a product can be invisible to one assistant and a top pick on another. The lever is being named where AI looks, mapped in the cross-engine comparison and the source-bias data.

Competitive position

Where Sonix sits against the tools it competes with

Sonix appeared in 1 of the 10 categories measured. Each table is that category's full ranked result, so you can see exactly which rivals the engines named ahead of it and which they named behind.

AI transcription and meeting notes · Sonix ranks #4 of 8
#ToolWeighted score
1Otter.ai10
2Descript1.83
3Fireflies.ai1.81
4Sonix (this tool)1.2
5Rev1
6Trint0.87
7Rev.com0.83
8Fathom0.58
Top pick by engine: GPT-OSS chose Otter.ai · Qwen 3.6 chose Otter.ai · Cohere Command-A chose Otter.ai · Gemini 2.5 Flash chose Otter.ai

Weighted score is position-weighted recommendation frequency within that category (a #1 mention counts 1.0, a #2 counts 0.5, and so on), summed across every engine and phrasing. It is not a quality judgement.

Want Sonix's full per-query breakdown?

See exactly which engines named it, where, and how to raise its AI-Visibility Score.

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Method

From the open, CC-BY AI Recommendation Audit: a dated snapshot of what live AI engines recommend, not an endorsement or a quality ranking. Sonix appeared in 5 of 550 recorded recommendations. Open data.

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