A sentiment score is worthless if you cannot show the posts behind it. Scano keeps every mention — source, author, date, language, tone — attached to every chart, splits sentiment by aspect rather than collapsing it into one figure, and exports the whole thing in a shape you can hand to someone who will check it.
Personalised demo · Live on your own topics · Exports with the raw mentions
Aspect
level sentiment, not one flat score
20+
languages read natively, no round-trip translation
Raw
mentions included in every export
What makes an analysis defensible
The method has to be visible, and the data has to come with it.
Mentions by aspectPositiveNegativeDelivery62%18%Price24%47%App12%66%Support41%29%Loyalty33%21%share of mentions carrying that sentiment · sample dataLanguagesEnglish52%Spanish31%Portuguese12%French5%each scored in its own language, never translated firstTopicscourier delaysrefundapp crashpromo codepackagingloyalty pointssized by mention volume
Sentiment that says what it is about
One post can praise the price and attack the delivery. Aspect-level sentiment keeps those apart, so a flat score never hides two opposite movements.
Aspects you define, per brand and per category
Kazakh, Russian, English and Turkish read natively
Every score traceable to the sentence that produced it
Dashboard+ Add widgetMentions this month5 998+187%vs. last monthMentions vs. categoryEditInfoDuplicateDeleteShare of voice by sourcex.comyoutube.cominstagram.comnews & webMentions by stateCalifornia92%Texas74%New York61%Florida43%Top topicsShippingPriceRefillsSupportsample data
Breakdowns that survive a follow-up question
Topic, region, network, language, author type and media type — cut the same dataset every way the meeting asks for, without re-collecting anything.
Comparable date ranges, including year on year
Source lists preserved on every chart
Excluded sources applied consistently across counts and lists
SRWhy did negative mentions jump on Tuesday?AI Analystreads your dataA carrier outage hit East Coast orders. 312 ofTuesday's 418 negative mentions name shipping,and 71% of those came from one video's replies.negative mentions, last 12 daysRead from312 mentions · shipping1 video · 4.2K repliesYour 8:00 AM briefThree things changed overnight, ranked by what it costs you.Shipping complaints ↑ 4×Competitor launchReach ↑ 22%sent 8:00 AM ET
An assistant that shows its working
Ask a question in plain language and get an answer built from your own mentions, with the posts it used listed underneath.
Answers grounded in your workspace, not in general knowledge
The supporting mentions listed with every answer
Anything it produces can be exported like any other view
What this looks like in your week
The six requests that land on an insights desk.
Explain a sentiment move with the posts that caused it
Split one score into the aspects it was hiding
Compare this quarter with the same weeks last year
Cut the same dataset by region, language and network
Export raw mentions for someone else's model
Answer the follow-up question without re-running the collection
What it replaces
Three reasons an analysis gets waved away.
A sentiment number with nothing behind it to inspect.
A translated corpus that lost its meaning on the way through English.