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Use case · Competitor engagement

See which buyers engage with your competitors

When a buyer comments on a competitor's post, the competitor has that buyer's attention.

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What you build

From signal to action

First the view a seller gets, then one record behind it. Both come from the public sample files.

01

What your team sees

One seller at one vendor, two posts, and three people who commented. For a company that competes with that vendor, each row is an account to check.

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.

02

The record your product receives

One comment record as it arrives. It carries the person who commented and the author of the post, each one with a job title and a company name.

Record · linkedin-reactions.csv
signal_type
linkedin-comment
signal_subtype
linkedinPostComment
contact.job_title
VP of Global Marketing
company.domain
klipboard.com
data.parent_post.poster_company_name
Dreamdata
data.parent_post.poster_job_title
sales director, us
data.parent_post.post_summary
Sales Director discusses Dreamdata's trial-first approach for their attribution product.
data.parent_post.num_likes
38

A real record from the public sample file. The field names are the ones your code reads.

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

The feeds

The feeds behind this use case

Each feed page shows how we build the signal, the fields, and a sample file.

LinkedIn comments →Who commented, on whose postLinkedIn reactions →Who reacted, on whose post

FAQ

Common questions

How do we find the posts of our competitors?

Each record carries the company of the post's author. Your product filters on that field.

Is a comment a buying signal?

Not by itself. It shows that a competitor has the buyer's attention at that account.

Does the record name the person?

Yes: the name, the title and the company, as the public post shows them.

See who engages with your competitors

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

Get a scoped data test