AI Scoring & Tagging
Skip the noise. Reach the buyers worth responding to
Every mention is scored for buying intent before it reaches your feed. You see the people ready to buy, not the job posts, spam, and tutorials that clog keyword alerts.
Spent 5 minutes on SnitchFeed, dropped a comment → new user
The problem
Keyword monitoring finds every match. Most of them are junk.
Set up a keyword alert for your category and your feed fills with noise before a single real buyer appears. This is the default state of every keyword-only social monitoring tool.
- We're hiring a social media manager with CRM experience
- That checkout flow feels like a CRM designed in 2009
- New blog post: 10 CRM trends to watch this year [VENDOR]
- CRM certification exam tips and study resources
- Anyone know a lightweight CRM for a 3-person SDR team?
- CRM tutorial: how to set up your pipeline in 10 minutes
1 signal buried in 6 results. Multiply by 100+ daily keyword hits.
- Anyone know a lightweight CRM for a 3-person SDR team?Score 94Buy IntentNeutral
- Fed up with Salesforce pricing. Looking for something simpler for a startup.Score 91Competitor MentionNegative
- We just switched CRMs and honestly the migration was the easy part. Happy to share what we learned.Score 87Customer TestimonialPositive
3 high-confidence signals. Nothing else in your feed today.
How it works
From raw keyword hit to scored signal
AI scoring runs automatically on every mention. No configuration required. Here is what happens between a post going live and it appearing in your feed.
- 01
A mention is captured
SnitchFeed detects a post or comment containing your keyword across Reddit, LinkedIn, X, or Bluesky. At this point it is a raw match: it has not been evaluated for quality.
- 02
AI reads brand context, intent signals, and post content
The AI cross-references three inputs: your brand context (what you care about and who your buyers are), the author's signal intent (are they asking, complaining, recommending, or hiring?), and the full post content including thread and tone. All three combine into a single relevance decision.
- 03
Scores and tags are assigned to the mention
The mention is stamped with a relevance score (0-100), a buying intent level (high, medium, or low), and a sentiment score (positive, negative, or neutral). AI category tags are added in the same pass.
- 04
Your GTM stack gets notified
High-scoring mentions trigger an alert to whichever channels you have configured: Slack, email, Discord, or webhook. Your team sees the score, intent level, and category tag before they click through.
- 05
Low-scoring mentions are filtered, not deleted
Mentions below your threshold are kept out of your primary feed but stored in full. You can audit the unfiltered view at any time and adjust the threshold if the AI is being too aggressive or too permissive.
What gets scored
Three dimensions, one complete picture
Every mention is evaluated on relevance, buying intent, and sentiment simultaneously. Each score answers a different question about whether and how to respond.
Is this post about your category?
Context, not keyword count. A mention of "CRM" in a complaint about a checkout flow scores near zero. The same word in "we need a lightweight CRM for our SDR team" scores high.
Are they in-market right now?
Passive references score low. Active signals score high: "thinking about switching", "frustrated with Y", "anyone recommend a tool for Z". Those are the posts worth your time.
How do you open the reply?
Positive, negative, or neutral, tagged before you click through. A frustrated post needs a different opening than a curious one. Know the tone before you respond.
What gets removed
The five categories of noise SnitchFeed removes automatically
AI scoring does not just rank mentions. It identifies and removes entire categories of irrelevant content before they enter your workflow. These are the most common sources of false positives in keyword-based social monitoring.
Job postings
"We're hiring a social media manager with CRM experience"
Vendor promotions
Posts from competitors pitching their own tools
Tangential keyword references
Your keyword appears incidentally, unrelated to your category
Spam and recycled content
Syndicated posts, bots, duplicate shares
Off-language content
Posts in languages outside your target market
What remains in your feed
High-relevance posts where real buyers discuss their needs, frustrations, and tool evaluations.
See what AI scoring surfaces for your keywords.
Set up a listener in under 5 minutes. First scored mentions appear within 60 seconds of setup.
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AI scoring vs. keyword-only monitoring
Who it is for
Three ways teams use AI relevance scoring
5 minutes each morning, only real signals
- Raw feed: hundreds of daily hits including job posts and promotions
- AI-scored feed: only people actively evaluating a tool like yours
- No sales team needed to keep up
Typical result: 200 raw hits reduced to 8-12 high-intent matches per day.
See frustration, not fan posts
- Raw monitoring: marketing posts, job listings, satisfied customer tweets
- AI scoring: only frustrated, switching, or alternatives-seeking posts
- Those are the conversations worth entering
Intents surface competitor mentions where someone is unhappy or shopping for an alternative.
Unfiltered sentiment, not survey bias
- Filters passing references and off-topic noise automatically
- Surfaces posts where your category is discussed critically and organically
- What remains is unsolicited, unbiased product signal
Tag by sentiment to separate feature requests from bug complaints from praise.
What teams use this for
Competitor monitoring
The same scoring that filters junk also surfaces which competitor mentions are dissatisfaction and switching intent.
Lead generation
Buying intent scoring is the mechanism: it turns a raw keyword feed into a short list of people actually in-market.
Brand monitoring
The same relevance filter removes job posts and tangential noise from your own brand mentions, not just competitor ones.
FAQ
Common questions about AI scoring
Still have questions? Reach out at hello@snitchfeed.com
Still have questions? Reach out at hello@snitchfeed.com
Stop reading noise. Start responding to buyers.
SnitchFeed scores every mention automatically. Set up takes 5 minutes. First results appear in 60 seconds.