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Audit LinkedIn creators with AI agents

Score LinkedIn creators in 30 seconds on professional audience fit, engagement quality, and content focus. Built for B2B sponsorship and partnership decisions.

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100

Four sub-scores. One verdict.

Each LinkedIn audit returns four weighted sub-scores that combine into a 0–100 composite and an S/A/B/C tier.

Reach

40% weight

Follower count, median post impressions, and engagement rate within the professional audience.

Audience

30% weight

Audience industry mix, seniority distribution, and authenticity signals — critical for B2B brand fit.

Content

20% weight

Niche concentration across recent posts. SaaS founders outscore lifestyle posters for B2B SaaS brand fit.

Conversion

10% weight

Comment quality, repost rate, and link-out patterns — signals that the professional audience clicks through.

Red flags we surface for LinkedIn creators

Engagement from pods or reciprocal networks
Audience industry mix mismatched to creator topic
Generic motivational content with low conversion intent

How it works

From LinkedIn handle to verdict in 30 seconds

Three steps, one API call, no SDK to install.

Step 01

Paste a LinkedIn handle or link

Drop a creator's LinkedIn profile URL or @handle in the dashboard — or hit /api/score from your agent.

Step 02

We pull posts and followers

100 recent posts, a sample of followers, and an LLM pass over both — bot detection, niche focus, brand mentions, and red flags.

Step 03

Return a structured 0–100 score

Four sub-scores (reach, audience, content, conversion), red flags, suggested CPM, and a shareable report URL. Same JSON shape as every other platform.

Who it's for

Built for LinkedIn sponsorship workflows

Used by brand teams, agencies, and AI agents to vet creators before money changes hands.

B2B brand teams

Vet LinkedIn creators for ABM and partnership campaigns. Industry mix matters more than raw follower count.

Agencies running thought-leadership campaigns

Score creator shortlists by audience industry match and engagement authenticity.

AI agents

Same JSON shape, drop-in for any LLM-driven B2B outreach pipeline.

FAQ

LinkedIn audits, answered

We pull recent post activity and engagement signals, run an LLM analysis over audience industry mix and content focus, and compute four weighted sub-scores (Reach 40%, Audience 30%, Content 20%, Conversion 10%). Composite rounds to 0–100 and maps to a tier S/A/B/C.

Yes. Reciprocal engagement patterns, comment timing clusters, and pod-style engagement signatures get flagged as red flags and lower the Audience sub-score.

We surface the audience's industry mix and seniority distribution — critical for B2B decisions. A SaaS-focused creator with an audience of marketers scores higher for B2B SaaS sponsorship fit than a creator with a broader generalist audience.

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