Sentiment analysis tells you the mood. Intent tells you what to do.

"Anyone tried the vitamin C serum?" and "I wish they made it fragrance-free" are both neutral. One is a shopper about to buy. The other is a note for your product team. Mentionfront gives every mention four labels (sentiment, intent, theme and a priority score) so you know which is which without reading them all.

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Inbox · All
u/sensitive_samr/SkincareAddiction · 4m

Switched from Lumaire to Glowbar last month. Anyone else find it gentler on redness?

NeutralCompetitor alternativeComparison to competitor
Relevant to a tracked term · Intent: competitor alternative · Matched to a tracked brand/product/competitor (90% confidence)
89

The reasons line is shown under every mention in your feed.

3sentiment levels, judged toward your brand rather than the post's general mood
8intents built for shopping conversations, from ready-to-buy to complaint
10themes covering sizing, shipping, packaging, scent and six more
0–100priority score, with the reasons behind it listed on every mention

Two neutral posts. One sale, one roadmap note.

A positive/negative label tells you how something was said. It doesn't tell you who should respond or how soon. These four mentions show why Mentionfront adds intent on top of sentiment.

The mentionSentimentIntentWhat to do with it
"Anyone tried Glowbar's vitamin C serum? Worth the hype?"NeutralRecommendation requestReply today with a real reason to try it. It lands in Opportunities.
"Wish they made the Barrier Cream fragrance-free. Would buy if they did."NeutralFeedbackNo reply needed. Count it toward the case for a fragrance-free version.
"Second time my order arrived damaged. Still no response."NegativeComplaintGet support on it before it spreads. It lands in Needs attention.
"Loyal since 2022. Glowbar's night balm is genuinely the best."PositiveAdvocacyThank them, then save it with Collect testimonial.

Eight reasons shoppers post, and where each one goes.

Each intent adds a fixed number of points to the priority score. The more commercially urgent the intent, the more points it adds. Intents are checked in a fixed order, purchase signals first, so "adding it to cart, anyone have a discount code?" counts as ready to buy rather than a question.

Ready to buy

+40 pts

The shopper is at checkout or close to it.

"Adding the Barrier Cream to cart. Anyone have a discount code?"
Lands in Opportunities

Competitor alternative

+32 pts

Switching brands, or asking what to use instead.

"Switched from Lumaire last month and honestly never going back."
Lands in Opportunities

Complaint

+28 pts

Something went wrong with an order, a product or support.

"Second time my order arrived damaged. Still no response."
Lands in Needs attention

Recommendation request

+22 pts

Weighing it up and asking other people first.

"Does the night balm work on combination skin? Should I buy it?"
Lands in Opportunities

Objection

+16 pts

A hesitation that stops the sale, usually about price or trust.

"Looks lovely but too expensive for a moisturizer. Hesitant."
Lands in Needs attention

Advocacy

+12 pts

Unprompted praise and recommending you to others.

"Loyal since 2022. Genuinely the best night balm I've owned."
Often a testimonial

Feedback

+10 pts

Wishes, restock requests and "I'd buy if…" notes.

"Wish they made it fragrance-free. Would buy if they did."
Shows in Analytics

Other

+0 pts

Relevant, but nothing to act on: news, sightings, chatter.

"Glowbar pop-up at the mall today, the line was wild."
Stays in All

Intent is why they posted. Theme is what it's about.

Knowing you got 31 negative mentions this month is only half useful. Knowing that 11 of them were about packaging tells you who to call. Every relevant mention gets one of ten themes, written for ecommerce rather than PR:

Sizing & fitShipping & deliveryProduct qualityPrice & valueCustomer servicePackagingScent & tasteIngredients & materialsComparison to competitorOther

On the Analytics page, filter by sentiment to see themes for just the positive or negative mentions. That answers questions like "what are people praising us for?" and "what are the complaints about?" Filter to one product or one competitor tracker when you need a narrower answer. Then filter the inbox by the same sentiment, intent and tracker to read the posts behind the numbers.

Negative mentions by theme

Example workspace · last 30 days · 31 negative mentions

Packaging11
Shipping & delivery8
Customer service5
Price & value4
Product quality3

A score you can check, not a black box.

The priority score adds up three things, and each mention lists which ones applied. That's what sorts your inbox, and it's the number your alert threshold is compared against.

0The mention at the top of this page: 30 + 32 + 27 = 89100

Relevance 0, 12 or 30

30 if the post names a tracked term as a whole word. 12 for a near match, like the plural "Glowbars". Posts that only contain the term inside a longer word aren't collected, and posts with one of your exclude terms are dropped before scoring.

Intent 0–40

The fixed weight for its intent. Ready to buy adds the most (40) and a complaint adds 28, so both rank above praise (12) however enthusiastic the praise is.

Match confidence 0, 17 or 27

Whether the post names the brand, product or competitor behind the tracker, including its aliases and SKUs. A whole-word match is 90% confidence and adds 27 points. A partial match is 55% and adds 17.

Built for "great, it broke again."

Word lists fail on the way people actually write. "Not bad" contains "bad". "Great, it broke again" contains "great". So sentiment is read by an AI language model, one mention at a time, and it judges the post's tone toward your brand, not how upbeat the wording is.

That matters most for complaints wrapped in jokes. A sarcastic post about a broken pump belongs in the negative pile even if half the words are cheerful. It also matters for plain-sounding praise like "third tub, not switching," which is a clear compliment with no exclamation marks.

@morningsheddingcomment · 12m

Great, the Glowbar pump broke again. Love that for me.

NegativeProduct quality
jules.makesreply · 1h

Not bad at all, actually. Third tub of the Barrier Cream and not switching.

PositiveProduct quality
@dana_rpost · 3h

Grabbed Glowbar at the airport. It's fine I guess, smells like nothing.

NeutralScent & taste

What the labels power.

Questions about classification

Is this AI, or keyword rules?
Both, each where it works best. Sentiment and theme (and the quotes that go on the quote wall) come from an AI language model that reads each mention, because tone is where word lists break down. Intent comes from phrasing patterns tuned to how shoppers write about buying, switching and complaining. The priority score is a plain formula, which is why it can list its reasons.
Why does the score show its reasons?
So you can trust it or overrule it. If a mention ranks high because it only partially matched a tracked term, the reasons line says so, and you can add an exclude term to stop that happening again.
What does 'possibly relevant' mean?
The post contains a near match for your term rather than the exact word, most often a plural like "Glowbars" for a brand called Glowbar. These get 12 relevance points instead of 30 and sink below exact matches. If the near matches turn out to be noise, add exclude terms to your tracker to filter them out.
Can I filter by sentiment and intent together?
Yes. The inbox filters by sentiment, intent, platform, tracker, type and date range at the same time. Save any combination as a view, like "Negative · Complaint · TikTok", so it's one click next time.
Does it analyze images or video?
It reads text: post captions and bodies, video titles and descriptions, and comment text. A TikTok video that never says your brand in its caption or comments won't be picked up from the video alone.
Do competitor mentions get the same labels?
Yes. Sentiment, intent, theme and priority work the same whatever the tracker is watching. See competitor tracking for how teams use that.

See your own mentions sorted by what they need.

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