Findings that come from crossing data nobody reads by eye:
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Which of @rivalfit's posts beat their median this month, and why?
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Every insight arrives in three parts: what we found, what it was measured against, and what to do next. Without the comparison it reads like an opinion; without the next step it is trivia.
See your first insights →The kind of thing ContentScout finds:
what they say
"ContentScout is the closest I’ve been to having a content director: my metrics and my competitors in one place, ideas out of my own data, and a workspace per client. And it connects with Claude."
Teo VisualsAgency owner · @teovisuals"I manage my personal brand and my clients’ content here. I explore trends, see which posts worked and why, and get ideas that don’t sound generic. Creating for yourself is the hardest part, and this makes it easy."
SaraFreelance content manager · @sara_quintero02"ContentScout’s AI really understands my niche. It’s not generic slop, it reads my audience the way a strategist would."
Tomi GYouTuber · @tunigoyafaq
Anything else? Book 30 minutes with the team and we'll look at it with your accounts.
Book a call →Something that comes from crossing data nobody reads by eye: the length where a competitor's videos take off, the setting their best posts share, the topic that beat your median every time. Not 'your competitor posted yesterday', which anyone sees by opening their profile.
From the accounts, posts and keywords you track, plus the viral corpus of your niche. Everything is compared against each account's own median, which is what makes a finding meaningful regardless of account size.
Yes, always: the comparison it was measured against and the posts it came from. An insight you cannot verify is an opinion.
Daily, as the tracked data refreshes. You can mark them done or dismiss them, so the list stays a queue and not an archive.
Yes, through MCP. That is what lets an automation act on a finding instead of waiting for someone to read it.
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