Read the intent hiding between the lines, beyond mentions and sentiment scores.
Traditional social listening tools focus on keyword counts, mentions, and sentiment scores, missing the subtle customer intent hidden between the lines. Steeped AI goes beyond keyword monitoring by identifying nuanced concepts like purchase consideration, comparison shopping, trust concerns, feature confusion, competitive switching, frustration, advocacy, and emerging customer needs across social media conversations.
Upload exported social media data from any platform to quantify meaningful themes, compare audience segments, uncover early market signals, and prioritize opportunities using statistically validated findings instead of vanity metrics. Marketing, product, and brand teams gain a deeper understanding of customer behavior beyond simple positive and negative sentiment.
Use Steeped AI's AI topic mapping to identify nuanced concepts like purchase consideration, trust concerns, and competitive switching that keyword and sentiment tools completely miss. Quantify how often each appears by audience so teams act on real intent, not a spike in mentions.
Search exported conversations from any platform with Steeped AI's enterprise search engines. Ask who is comparing you to a rival and get the exact posts back with citations, so an early market signal is answered with evidence instead of a keyword filter.
Use Steeped AI's audience modeling to score every intent-by-segment combination and surface the standout audiences. See which demographic shows the strongest switch or advocacy signal, so brand and product teams prioritize the segments that actually move the market.
Apply Steeped AI's journey mapping to trace how a conversation moves from first mention to consideration to switch or advocacy. See which moment tips intent, so marketing and product intervene early instead of reacting after a customer has already left.
Every measured theme links back to the original posts and thread IDs behind it. Follow a spike in a sentiment cluster down to the exact wording people used, so a brand team can read the conversation itself before drafting a response to it.
Social signal matters to more teams than one. Org-wide insight hunting keeps every metric in plain language so community, brand, and product leads can each follow their own thread through the same conversation data, saving findings privately without crossing anyone else's work.

Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.