AI social media strategy planning
Know what to post next, from what your accounts and your market are actually doing.
Built on your data, not on training data
Asked a general question, a model produces a fluent, specific and entirely invented answer, and you cannot tell it apart from analysis. SocialPro's assistant answers from stored rows - your posts, your performance, your tracked competitors and topics - or it says it does not have data on that yet and tells you what to connect.
Plans, calendars and gaps
Generate a content plan for a period, see where your coverage is thin against the topics you track, and turn a recommendation into a draft post or an ad without retyping the brief.
- Content plans across platforms for a chosen period
- Content-gap analysis against tracked competitors
- Recommendations that link to the screen which acts on them
- Executive summaries built from measured values, with the one written paragraph clearly marked
Recommendations you can check
Every insight is templated from a measured figure, so the sentence and the evidence cannot disagree. A model asked to summarise a week produces confident prose whose numbers drift from the data it was given, and the reader has no way to notice.
See it on your own accounts
Connect a channel and publish something. That is a shorter route to knowing whether this fits than any amount of reading.