Extract insights from billions of online conversations

Surface the patterns, pains and insights buried in billions of social posts — the ground truth you need to inform every next decision.

01 · Classified at ingestion

Multimodal signal extraction at machine scale

Every post, video frame and voice track is parsed, classified and indexed the moment it lands — across text, audio and vision. A volume and velocity no human research team could ever touch.

02 · Patterns emerge

An agnostic pattern engine for any signal — semantic or visual

Decode hooks, pains, narratives, emotions, visual styles — anything. 90% accuracy on up to 1 million mentions per analysis, with zero predefined taxonomies.

Pain points Objections Feature requests Tone of voice Hook types Emotions Narratives Visual styles Questions
03 · Ask

Research-grade analysis, through a simple question

Qualitative depth at quantitative scale — ask plainly, every answer is grounded in real mentions and cites the posts it came from.

Tell your brand's story
from what your audience already says

Plug in your brand, a competitor or a category. Surface the patterns, pains and proof points — and turn them into the next story your marketing tells.

15,000+ marketers, agencies & brands ship with buzzabout
How it works

A two-stage pipeline
from raw post to real decision

Every post is classified the moment it enters the system, then analysed on demand by our proprietary pattern-matching engine.

Collect
Real social post being collected and tagged
Topic|social platforms
Hook|comparison
Emotion|excitement
Tone|conversational
10dimensions tagged

Collect the full signal

Each post tagged across 10 structured dimensions — topics, emotion, hook, narrative, tone, intent, CTA, sentiment, entities, language.

Process
Posts analysed
6,294
Top patterns
Painalgorithm fatigue34.2%
Hookcomparison22.8%
Emotionexcitement19.4%

Analyse patterns

Pains, hooks and emotions surfaced from real conversations — the kind of insight that usually takes a research team weeks.

Decide
New hookReady
"TikTok wins where Instagram pretends."
Integration
Claude · MCP

Ship campaign

Save insights to project context, feed them into your AI stack via MCP, and close the loop.

Strategy

Know the landscape

Market size, competitive gaps, share of voice and audience — answered with evidence, not guesswork.

Market research

Size categories, track volumes and decode what's driving growth — answer what you'd usually buy a research report for, in hours.

Profiles analysed
1,200
Psychographic analysis
Pain points
Unmet needs
Top audience questions

Audience research

Build a living picture of who your audience actually is — interests, values and behaviours, not guesses from last year's survey.

Benchmarking

Track yourself against the category — share of voice, sentiment, engagement and reach.

Social media visibility

See how often your brand actually shows up across platforms — owned posts, unprompted mentions and conversations you're missing.

Competitor analysis

Reverse-engineer what's working for them — hooks, tone, topics and the gaps their own audience complains about.

Execution

Turn signal into output

Content, campaigns and product moves grounded in what your audience is already saying.

AI-written copy feels generic and soulless

Posts412
Reach38k
Trend+24%

Marketers can't measure AI content ROI

Posts524
Reach94k
Trend+38%

AI tools promise speed but deliver sameness

Posts657
Reach128k
Trend+47%
Pain points detected across
Reddit TikTok X Instagram

Content strategy

Turn pain points and proven hooks into a calendar of posts, articles and videos that meet your audience where they already are.

Listening agent · live
3,842 mentions · 30d
Trending AI workslop
Sentiment dip Competitor caught shipping slop
30d ago 15d Now

Listening

Track narratives, sentiment swings and breakout topics in real time — catch the shift before it hits the numbers.

Content ideas

Pull the angles, hooks and questions your audience is already posting — a backlog of briefs that start from real signal.

Campaigns personalisation

Segment by the real audiences engaging with you — demographics and psychographics — and tailor every message.

Product research

Surface the features, fixes and frustrations your users are actively asking for — prioritise roadmaps with evidence, not opinions.

Built for your team

However you ship strategy, buzzabout fits

  • Turn qualitative research into shareable reports in minutes
  • Auto-generate audience personas with OCEAN psychographics
  • Export polished PDFs for your next strategy deck
  • Unlimited projects on Business & Enterprise
  • Listening agents per client with Slack alerts
  • 30% commission on the agency partner programme
  • Always-on listening agents
  • Slack alerts on volume, sentiment & new pain points
  • MCP endpoints so your market context feeds every AI tool
  • Hook-type & narrative analysis on top-performing posts
  • Trending-topic extraction from Reddit → TikTok funnel
  • Creator program — 50% off for 12 months
Start free →
Your audience is already talking

Simple answers to
hard questions

From billions of real social posts — pick a question and see how it's answered in seconds.

Features

Everything you need to turn
conversations into strategy

Core engine

An agnostic pattern matching engine

A semantic pattern-matching engine that extracts features across text, audio and visuals — hooks, emotions, narrative structures, pain points — dynamically from your dataset, never from a predefined list.

  • Adapts extraction to your query & data modality
  • Surfaces structure your queries didn't know to ask for
Pinterest marketing
1,272 mentions
Describe what patterns to look for…
Multimodal ingestion

Every frame, every word — read.

Videos are transcribed and every frame is analysed for objects, logos and on-screen text — so spoken frustration and competitor packaging in the background are both part of the signal.

  • Speech-to-text + OCR + object detection
  • Logos & products tracked across creators
cup · logo
pour
text: "smooth"
taste test
brand: Oatly
Research AI

An AI assistant with the right tools

Not just chat — a research assistant wired up with tools to post-process your collected dataset: pattern mining, quote sampling, cohort splitting, chart generation. Ask in plain English; get the answer grounded in your data.

  • Tool calls visible and auditable
  • Every answer cites real mentions
What's the #1 objection to our cold brew?
tool: pattern_extract(topic="objections", n=500)
tool: cluster_quotes(k=5)
Top objection: bitter finish — cited in 38% of negative mentions, especially on Reddit threads about small-batch brews. Second: price creep vs. competitors (22%).
Artifacts

Charts for qualitative research — shareable

Every chart the assistant produces is a live artifact: download as PNG/SVG, embed in Notion or your deck, or share a link with your team.

  • Download · embed · share link
  • CSV export for further analysis
Sentiment · 90d Net positive trending up+18%
Share
Feb 06Mar 06Apr 06May 04
Global reach

Localization by country & by language

Research in 30+ languages with results scored in their native context — so "salty" in a British thread and "salé" in a French one don't collapse into the same bucket.

  • Native sentiment + slang detection
  • Filter by country & market
🇺🇸United States · EN42%
🇬🇧United Kingdom · EN18%
🇩🇪Germany · DE12%
🇫🇷France · FR9%
🇧🇷Brazil · PT7%
Audience

Audience analysis — real profiles, not synthetic

Analyse the people commenting, sharing and reacting to a piece of content or a competitor's profile. Demographics and psychographics from real social profiles — so you build for who's actually there.

  • Age · gender · geography · profession
  • Interests, values & personality signals
Age & Gender
F M
25–3441%
35–4426%
18–2419%
45+14%
Top Countries
22 total
United States38%
Germany14%
United Kingdom11%
Canada8%
Occupation
Creative32%
Tech22%
Marketing16%
Other30%
Psychographics
  • Openness82
  • Conscientiousness68
  • Extraversion54
  • Agreeableness61
  • Neuroticism38
Source-level tracking

Paste a profile, channel or subreddit — get the full decode.

Add any creator profile, channel, account or subreddit. buzzabout tracks the entire source continuously — no single-post dead ends.

  • Works across Reddit, TikTok, YouTube, IG, X, LinkedIn
  • Continuous tracking on profiles & channels
tiktok.com/@sipdaily Analyse
Views
2.1M +18%
Sentiment
+0.64
Hook
contrarian
Always-on

Listening AI agents

Spin up agents that monitor new mentions every day, flag volume spikes or sentiment shifts, and surface new pain points as soon as they appear.

  • Alerts to Slack, email or webhooks
  • Daily & weekly digests
Spike on Reddit · "cold brew recall" · +214 mentions2m ago
Sentiment shift on TikTok · nitro category · −0.1814m ago
New pain surfaced · "oat milk shortage"1h ago
Workspaces

Projects & context engineering

Every project has its own persistent context layer — saved pains, quotes, audience questions, frameworks. The AI picks them up in every future chat, and so does anything you connect via MCP or the API.

  • Reusable by team & by AI tools
  • Versioned & auditable
Cold brew · Q2 context
  • Pain: bitter finish
  • Hook: contrarian
  • Objection: price creep
  • Audience Q: is it oat-safe?
Used by
  • Research AI chat
  • Claude · MCP
  • ChatGPT · MCP
  • Content drafts (team)
Team sharing

Collections — group mentions, share with the team

Clip posts, quotes and patterns into collections, then share them with teammates. Everyone works from the same evidence, and new members land on a pre-built library instead of a blank canvas.

  • Clip, tag & comment on posts
  • Shareable links & team access
Hooks worth stealing 92
TikTok, IG, LinkedIn
Competitor watch 124
TikTok, IG, YouTube
Our top performers 84
TikTok, IG, X
Agent-first

MCP & API

Plug your buzzabout project context into Claude, ChatGPT or any custom agent via the MCP server — or hit the REST API directly from your own stack.

  • Native MCP for Claude, ChatGPT, Cursor
  • REST API for custom workflows
# ask your agent, grounded in buzzabout context
GET /v1/projects/cold-brew/insights
Authorization: Bearer bz_*****

› returns pains, hooks, quotes, frameworks
Claude · MCPChatGPT · MCPCursorCustom agents · API
AI-powered labeling

AI labels every mention
the moment it lands

Multi-modal analysis across text, audio and video — every signal indexed and ready to query in seconds.

EmotionFrustration
Hook typeContrarian claim
CTAEngagement · follow
NarrativeThree-Act Structure
IntentEducational
TopicCold brew smoothness
ToneCasual · vulnerable
EntitiesStumptown, Blue Bottle
Sentiment+0.42 positive

15,000+ marketers, agencies
& brands ship better with buzzabout

People say

The tool gives us good insights into what the market says and thinks, on a scale that is almost impossible to do manually.

Hide and Seek
Erik Theelen
Co-founder, Hide and Seek

buzzabout delivers insights into how users and audiences talk about brands, products, and key topics — informing sharper communication and marketing strategies.

PIABO
Miriam Rönnau
Strategy Director, PIABO
Ready to stand out?

Turn billions of conversations
into your next decision

Get real-time, AI-driven intelligence from Reddit, TikTok, YouTube, Instagram, X and LinkedIn — in a workspace built for marketing teams.

Join 15,000+ users · Starter plan from $40/mo