AI for social listening and influencer platforms
Every campaign scored on one scale, and every inbox ranked for a person.
For social listening, influencer and social media management products. Data collected within each platform's rules, sentiment scored the same way on every channel, and comments ranked for the manager who answers them.
Built for: Social listening, influencer marketing, social analytics and social media management platforms.
Already built or tried AI? Get it scored with the AI Scorecard.
murmurline.example/campaigns/tidewell-spring-launch
Halyard and Finch · Moodly
DemoStep 1 of 5
Illustrative demo on a fictional agency. Not client work.
Where these products get stuck
What gets in the way, and how we handle it.
- 01
Scores that do not compare
One scale, defined first
Every comment scored 0 to 100 with 50 as neutral, on every channel and format.
- 02
APIs that change under you
A collector per platform
Official APIs, or a vetted data provider where an API falls short, behind one registry, fetching only what is new.
- 03
Managers drowning in comments
Ranked for a person
A queue ordered on writer and words, with the manager deciding every reply.
What your customers ask before they rely on the numbers
Short answers your team can repeat.
- Every score means the same on every channel, and links to the comments behind it.
- Data is collected within each platform's limits, and deleted posts are removed.
- The AI ranks and drafts; people answer comments and share reports.
- We work within your platform API terms and privacy requirements.
AI inside your product
The modules that fit this kind of platform.
Each one is shown on a fictional agency. It is built into your codebase and ships under your name, on an engine we license to you.
What it connects to: Facebook, Instagram, X, TikTok, YouTube and LinkedIn APIs, or vetted data providers where an API falls short, your database and report layer. Sprints use test accounts and synthetic comments.
Moodlyby Datics AI
AI sentiment analysis for social and influencer campaigns
Paste a campaign's posts and see how the audience feels, on one scale across every channel.
Fits: Social listening and influencer analytics platforms, campaign reporting tools, agency software
Ranklyby Datics AI
AI comment ranking for social media management inboxes
Social managers see the comments worth answering first, across every platform.
Fits: Social media management platforms, agency inbox and reporting tools, community management software
Channellyby Datics AI
Social data collection within platform API rules
Campaign data from every platform, fetched within its limits and kept within its rules.
Fits: Social listening, influencer and social analytics platforms, any product built on social APIs
Scoutlyby Datics AI
AI creator matching and vetting for influencer marketing platforms
Influencer teams see which creators fit a brand brief, with the reasons behind every score.
Fits: Influencer marketing platforms, creator discovery tools, agency influencer software
Proof
What we have built that this rests on.
57 featured AI case studies: AI products and AI built into live products, each written up on our Work page.
SenTrac
Social listening · Campaign sentiment
Agencies see how audiences feel about a campaign, scored fairly across six channels
Agencies copied comments by hand and misread sarcasm and emoji; now SenTrac scores every comment and compares channels on one scale.
SenTrac
Social data · Collection within API rules
Campaign reports use only the data each platform allows, refreshed within its limits
Social APIs are gated, capped and change often; we built SenTrac's data layer so each platform's rules and limits hold and reports stay current.
Sparrow Marketing
Social inbox · Comment ranking
Social managers see the comments worth answering first, learned from their own choices
Managers dug through three platforms for the comments that mattered; now one ranked queue puts them on top and sets junk and spam aside.
How it works
Three ways to start, each at a fixed price.
Most social listening and influencer platforms start with Moodly in a Build Sprint: the signal models and one scale on one campaign report.
MarTech Platform Product Review · 30 minutes, no chargeStart here. We look at your platform with you, agree the outcome you want for your customers, and tell you which of the three below fits.
Book a 30-minute Product ReviewNo AI yet, and a module fits
Build Sprint
$10,000 fixed3 weeks
Pick it when: One of our modules delivers the outcome you want.
Moodly · Rankly · Channelly · Scoutly
- One customer outcome (2 to 3 related capabilities) working in your staging, behind a feature flag
- Pull requests to your repo, built on sample campaigns, synthetic comments and test accounts
- Quality and safety evals, the cost per customer and a packaging recommendation
- A fixed-price quote for production
Something new, or a plan first
Planning Sprint
$5,000 fixed2 weeks
Pick it when: You need something our modules do not cover, or want a plan before you build.
- Where AI fits across your platform, including beyond our modules
- A prioritized capability map, with what each one depends on
- A readiness review of your architecture, data, platform APIs and permissions
- A fixed-price quote to build it and take it to production
AI already built or tried
AI Scorecard
$5,000 fixed2 weeks
Pick it when: You have already built or tried an AI feature in your platform, live or not.
- One AI feature you have built, tested in staging on 50 of your own cases, with names and contact details removed
- Tests for invented numbers, scores that shift between channels, another customer's data and prompt injection from comments
- Cost per customer and a packaging recommendation
- A scorecard, ranked fixes, draft security answers and a fixed quote
Not a compliance audit or certification.
How the AI Scorecard worksProduction, at a fixed quote
We take what your Sprint built or planned live for your customers, by pull request, with no standing production access. It typically includes load testing at your busiest refresh and a spend cap per customer. Your Sprint or Scorecard fee counts toward it.
After go-live, optional support
The product is finished and yours to run. If you want us to stay on: a named lead engineer, a monthly quality and cost report, testing before any model or platform API change, and more capabilities, each at its own fixed quote.
Stop after any Sprint and keep what you got.
How a Build Sprint runs
- In the setup week we map your data, platform APIs and roles and agree what the Sprint touches.
- We follow your coding standards, tests and CI; your engineers review and merge every pull request.
- Half at signature, half when the Sprint Pack is delivered.
- Your time: about 2 to 3 hours a week from a product owner, plus an engineer to review pull requests.
Product improvements you can measure
What we agree to measure: quality and cost on test sets in the Build Sprint, adoption and outcomes once it is in production, so the decision to go further is made on evidence.
Numbers customers trust
Flags raised per thousand scored comments
Faster answers
Time from comment to first reply on ranked items
Quota that lasts
Share of API calls that return new data
We set the success measures with you in the setup week.
Built for platforms that sell numbers
Controls your customers' security reviews ask about.
Each control is a design fact about how the module is built and how we work, not a compliance claim.
Metrics defined first
Every score is agreed with you before code, and means the same on every channel.
Inside platform rules
A collector per platform, inside its rate limits and storage rules, with sources you can swap.
People decide
Managers answer comments and account leads share reports; the AI ranks, scores and drafts.
We work within your social platform API terms, privacy requirements such as CCPA and GDPR, and the FTC rules your customers follow on endorsements. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification.
How we handle social and audience dataQuestions we hear on the first call
Straight answers before you book.
Can you add this to our existing influencer platform?
Yes. The engine scores the comments you collect today and the report reads from your database, so it ships inside your product under your name.
Can agencies white label the reports?
Yes. We have built share links and PDF reports that keep the platform's branding unless an agency is on a white label plan.
Other martech platforms we build for
See it on your own platform.
Bring one product, metric or AI feature. In 30 minutes we tell you which of the three ways to start fits, what it would cost to serve per customer and what the platform APIs will allow.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.