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Social signals

What social signals add on top of your news feed

A news feed tells you that a company raised money or named a leader. Social tells you what its customers, staff and buyers say in public. One record shape across 35 feeds, at company and person level.

Get a scoped data testGet the sample files

What you build

From signal to action

Four jobs a seller can do with social data. Each demo runs on real records from the public sample files.

01

Know when something changes at your accounts

A seller keeps a list of accounts. Social feeds report what a news feed misses: a support complaint with 145 comments, layoffs named in staff reviews, an executive on a podcast. Each event carries the company domain.

Account monitoring in detail →
Account watch · 5 accounts
watchingCrowdStrikeOraclePerplexityServiceNowUserTesting

The records are real, from the public sample files for Reddit, Glassdoor and podcasts. The watchlist is yours: send the domains, and each event arrives with the company domain to join on.

02

See what a buyer said in public before you talk

Before a call, a seller wants the buyer's own words. A podcast record carries the episode, the date, the main points and a hook for outreach. LinkedIn and X posts add what the person wrote this month.

Buyer research in detail →
Buyer context · one contact

Kellie Romack

Chief Digital Information Officer, ServiceNow

Podcast appearanceMar 12, 2026 · 28 min

Kellie Romack on How ServiceNow Generated $355M in AI Value

  • ServiceNow has generated $355 million in AI-driven value internally.
  • 90% of IT service requests are resolved through AI.
  • The transformation allowed 85% of staff to move to higher-value roles.
AI transformationOperational efficiencyAutomation in IT service requests
outreach_hooks
Explore the impact of automating IT service requests on operational efficiency.

A real record from the public podcast sample file. Every line is a field of it.

03

See which buyers engage with your competitors

Name your competitors. The LinkedIn comment feed reports the people who comment on their posts, with the title and the company. A seller sees which customers and open deals a competitor is working.

Competitor engagement in detail →
Competitor engagement · one seller

Dreamdata · Laura E., Sales Director, US

2 posts
post38 likes
Sales Director discusses Dreamdata's trial-first approach for their attribution product.
post64 likes
Sales Director asks network about aligning marketing and sales goal planning for future quarters.

The records are real, from the public LinkedIn sample file. Last names are shortened here. You name the competitors, and each record carries the person, the title and the company.

04

Find where a competitor's customers are unhappy

Customers say in public when a tool fails, when the price goes up and when they leave. Reddit and review records carry the complaint, the role of the author and the other vendors named. Join them to your install data.

Vendor switching in detail →
Vendor displacement

The records are real, from the public sample files for Reddit and product reviews. Join them to your install data to see which of your accounts run the tool.

How it arrives

Built for how your stack already works

GCS push for a daily file per feed. REST API for one account on demand. MCP server for AI agents.

  • Every signal of a feed, on a schedule

    GCS push

    Daily to weekly
    Scheduled exports to your bucket in JSONL, Parquet, or CSV.
    gs://autobound-<signal>/<date>/output.jsonl
  • One account or one contact, right now

    REST API

    JSON over HTTPS
    Real-time search, enrich, and filter across every signal type.
    $ curl https://signals.autobound.ai/v1/companies/search
  • An AI agent that asks its own questions

    MCP server

    Agent-native
    Every signal type as a tool in Claude, ChatGPT, or Cursor.
    $ claude mcp add --transport http autobound https://mcp.autobound.ai/mcp

Worked example

The same account, two kinds of signal

A news feed and a social feed answer different questions about one account.

A news feed reports

  • A funding round is announced
  • A new executive is named
  • An acquisition closes
  • A product launches

Social feeds add

  • Customers complain about a vendor, or say they left
  • Staff reviews name layoffs, a reorg or a lost leader
  • An executive explains a plan in a podcast interview
  • Buyers comment on a competitor's posts

FAQ

Common questions

Does this replace our news feed?

No. It adds to it. A news feed reports the announced event. Social feeds report what customers, staff and buyers say in public, often before an announcement.

Is the data at company level or at person level?

Both. Reddit, Glassdoor, product reviews and podcast mentions attach to a company. Podcast appearances, LinkedIn activity and X posts attach to a person and that person's company.

Where does the social data come from?

From public pages that anyone can read without a login. Each feed page explains how we build the signal, and the sample file shows the fields you receive.

What happens if a source changes its access?

No use case depends on one source. Complaints show on Reddit and in product reviews. A buyer's words show on podcasts, LinkedIn and X. The coverage report shows any drop.

How much data is there for each feed?

The coverage report lists the volume, the lag and the refresh rate of every feed. We measure them each week on live data and publish the numbers.

How do we test it on our own accounts?

Send us 1,000 company domains. We return matched signals as a file within 48 hours, plus the coverage report. You see the match rate on your own list.

See social signals on your own accounts

Send a list of company domains. We return the social signals we hold for each one, so you judge the fit on accounts you know.

Get a scoped data test