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Building this domain's report…
Global rank
AI visibility
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per month, estimated
Keywords
ranking in Google
Organic share
of all search traffic
LLMS.txt
lines AI engines can read
Last updated: September 2026
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LLMS.txt
Published
113 lines AI engines can read
What this company does
Ear started as a small project to fix the everyday audio headaches that come with remote work. The team noticed that most video tools still left people straining to hear each other, so they focused on one thing: making voice clean and reliable without extra hardware. Over time that turned into a lightweight platform that sits on top of existing meeting apps and cleans up the sound in real time. Customers range from s…
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Grade D
Scored from this domain's own data — llms.txt, profile completeness, technical health, crawlability and structured data.
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5/8 core fields
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The file AI engines read to understand a business. This is what it currently tells them about this one.
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Published
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12
Updated Sep 2, 2026
# ear.com ## About Ear started as a small project to fix the everyday audio headaches that come with remote work. The team noticed that most video tools still left people straining to hear each other, so they focused on one thing: making voice clean and reliable without extra hardware. Over time that turned into a lightweight platform that sits on top of existing meeting apps and cleans up the sound in real time. Customers range from small agencies to bigger product groups that run dozens of calls a day. The value comes from cutting down on repeats and misheard details rather than adding flashy features. Early users were mostly distributed engineering teams who needed something that just worked on average laptops and headsets. Revenue comes from monthly subscriptions that scale with the number of active users. The company keeps the product narrow on purpose so it stays fast and easy to adopt. No big funding rounds have been announced and the team remains small and focused on the core audio engine. Most growth has come from word of mouth inside tech Slack groups and product forums. The founders have backgrounds in both audio engineering and product tooling, which shows up in how the software is tuned. They avoid broad marketing and instead publish short technical notes on what actually moves audio quality. Competitors tend to be either full video suites or heavy enterprise voic
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Ear started as a small project to fix the everyday audio headaches that come with remote work. The team noticed that most video tools still left people straining to hear each other, so they focused on one thing: making voice clean and reliable without extra hardware. Over time that turned into a lightweight platform that sits on top of existing meeting apps and cleans up the sound in real time. Customers range from s…
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Private