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LinkedIn engagement feed

Engage first. Then pitch.

Stop cold-opening. DitLead surfaces every recent post from your prospects, scores it for engagement-worthiness, and drafts a non-creepy comment in your voice. Approve in one click or let the queue ship at human pace — across every LinkedIn account you own.

Daily feed of every prospect's LinkedIn posts
0–100 engagement score per post — only high-signal surfaces
AI comments in your voice (learned from your last 30 comments)
Pre-warm step inside any sequence — comment, then invite
Spread across every LI seat with per-account daily caps

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Engagement feed · today14 ready to engage

Anna Kowalski

VP Marketing · Stripe · 2h

Three years of attribution debate condensed into one chart. Multi-touch finally beat last-click on our internal review…

ThreadComment draft

Marcus Reilly

VP Sales · Cloudset · 6h

Hot take: every 'AI SDR' I've tested in 2026 is just GPT-4 wrapped in a sequence builder. We need…

Hot takeComment draft

Paula Chen

SDR Manager · Loop · 1d

Promoted Maya to senior SDR today — 6 months of grinding cold outbound to closed-won. So proud.

MilestoneLike + react

Jonas Müller

Founder · Tilde · 2d

Quick recap from SaaStr Europe: every booth had 'enterprise-grade' on it. Nobody could define what…

EventLike

Why warming wins4 metrics

A thoughtful comment beats a cold ask, every time.

METRIC / 01

3.1x

Reply rate uplift

When a thoughtful comment precedes the invite (3–7 days).

METRIC / 02

31%

Acceptance lift

vs. cold connection requests on the same ICP.

METRIC / 03

Min daily review

Minutes/day to skim the feed. The rest is queued.

METRIC / 04

∞

Connected accounts

Feed runs across every LinkedIn seat you own.

How it works

Build the feed. Approve the drafts. Ship at human pace.

Three moves, then it runs in the background.

STEP / 01

DitLead builds your feed

Every prospect in your DitLead lists, CRM, sequences and Sales Nav imports becomes a feed subscription. The feed pulls their LinkedIn posts in near-real time and scores each one for engagement-worthiness (recency, topical relevance, engagement signal, tone, intent).

STEP / 02

AI drafts a comment in your voice

Top-scoring posts get a draft comment generated from the actual content of the post, in the voice DitLead learned from your last 30 comments. Length, tone and pitch-iness stay inside the bands you set.

STEP / 03

You approve, or DitLead queues

Approve in one click — or trust a prospect, list or ICP enough to auto-approve. Comments and likes ship at a human, randomized cadence inside each account's daily activity budget.

Inside the feed

A feed, a voice, a pace — engineered to look human

Generic engagement automation is why this category got a bad name. Three pillars keep the engagement feed credible.

01 · Feed

A daily feed built from every prospect you care about

The feed isn't a generic LinkedIn timeline. It's pulled from your DitLead lists, CRM, sequences and any Sales Navigator search you've imported. Posts are scored 0–100 on recency, topical relevance to your ICP, engagement signal, tone, and prospect intent. You see the highest-signal posts first.

Pulled from lists, CRM, sequences, Sales Nav imports
0–100 engagement score per post, refreshed hourly
Filter by ICP, account, score band, post type
Subscribe to any saved-search on a recurring cadence

Engagement score · 0–10092

Recency95 · Posted 2h ago

Topical relevance88 · Maps to your ICP

Engagement signal81 · 117 likes, 24 comments

Tone fit76 · Pro tone, not personal

Prospect intent69 · Hiring + new round

02 · AI comments

Comments that read like you, not like a bot

DitLead learns your voice from your last 30 LinkedIn comments — average length, tone, opener style, how often you ask a question. Every draft references something specific from the post, ends with a real question, and stays inside your length and tone bands.

Voice-matched from your 30 most recent comments
References specific claims in the post (never generic)
Tunable: 'more direct', 'more curious', 'no questions'
Pitch-iness score — anything > 10% blocked by default

AI comment · Anna's attribution threadDraft

Alex Park · You

Voice: direct · curious · not promotional

"The last-click → multi-touch jump is the same one we made in Q1. The hardest part wasn't the math — it was getting finance to accept that 'assist' was a real attribution category. How did you square that internally?"

Voice-matched to your last 30 commentsTone: 92% match

Refers to a specific claim in the postReference: ✓

Ends with a real question, not a pitchPitch-y: 0%

Length within your 30–55 word band44 words

03 · Pacing

Across every LinkedIn account, at human pace

Comments and likes are spread across every connected LinkedIn account in your pool, respecting each account's daily activity budget, quiet hours and weekly engagement cap. The same prospect is never engaged twice in the same week, and never from two accounts in the same workspace.

Spread across every connected LinkedIn seat
Per-account daily cap (default 8 engagements)
Randomized 30–90 minute intervals between actions
No double-touch on the same prospect inside 7 days

Queue · today · auto-approved5 of 8 daily cap

9:14 AM

Anna K — attribution thread

alex@

Comment

10:42 AM

Marcus R — AI SDR hot take

alex@

Comment

1:08 PM

Paula C — promotion milestone

maya@

Like + 🙌

2:51 PM

Jonas M — SaaStr recap

alex@

4:33 PM

Reema P — onboarding writeup

maya@

Comment

Randomized cadence respects each account's daily activity budget and quiet hours.

What's inside

Every control your engagement motion needs

The dials that turn unlimited posts into a warm pipeline — without the spam tax.

FEAT / 01

Feed from your prospects

Posts pulled from your lists, CRM, sequences, Sales Nav searches.

Hourly refresh

FEAT / 02

0–100 engagement score

Recency, relevance, engagement signal, tone, intent — combined.

Per post

FEAT / 03

Voice-matched AI comments

Generated from your last 30 comments. Tunable per ICP or campaign.

Your tone

FEAT / 04

Smart likes + reactions

DitLead picks the right reaction (👏 on wins, 💡 on insights, like on neutral).

Auto-react

FEAT / 05

Approval queue

Review every draft. Approve, edit, regenerate, skip — one click each.

Inbox-style

FEAT / 06

Pool-wide pacing

Engagements spread across every connected LI account at human cadence.

Per account

FEAT / 07

Pre-send warming

Auto-engage on 1–3 posts before any invite step in a sequence.

Sequence step

FEAT / 08

Filters that matter

ICP, account, score band, post type, last engagement date, hiring signal.

15+ filters

FEAT / 09

Pitch-iness guardrail

Comments scored for promotional tone — anything > 10% blocked by default.

Safe-by-default

Benchmarks8 metrics

What pre-warmed cohorts hit

Illustrative benchmarks, not measured guarantees — your results depend on ICP, offer, list quality and copy.

ACCEPTANCE LIFT

+31%

Invites after a thoughtful comment

REPLY UPLIFT

3.1x

vs. cold-first outreach on same ICP

DAILY REVIEW

12m

Median time to clear the queue

AUTO-APPROVE

63%

Of comments after week 2 of voice learning

POST COVERAGE

94%

Of prospect posts surfaced inside 1h

VOICE MATCH

92%

Median tone-match score on drafts

PITCH-INESS

<8%

Median promotional tone (block at 10%)

DAILY CAP

Engagements per account, randomized

Built for

Anyone who lives on LinkedIn

Founder, recruiter, agency, sales — the engagement step looks the same, the voice doesn't.

USE / 01

Founders

Warm 200 prospects/week without ever turning into a comment-spammer. Voice stays yours.

Voice learned from your real posts
Pitch-iness guardrail on by default
One LinkedIn seat, 200 warmed

USE / 02

Founder-led sales

Two-step warm-then-pitch cadences. The comment lands Monday, the invite lands Friday.

Sequence step: pre-warm 1–3 posts
Auto-skip prospects with no posts
Reply ownership across email + LI

USE / 03

Agencies

Per-client voice profiles, per-client approval queues. Comments never cross client lines.

Per-client voice + queue
White-label approval inbox
Per-client daily caps

USE / 04

Recruiters

Engage with candidates 7 days before the role drops. By the InMail, you're not a stranger.

Career-move signal filter
'Congrats on the new role' templates
ATS sync on accept

The trade

What you get vs. what you stop tolerating

Left is what arrives the day you switch. Right is the engagement theater you stop putting up with.

INCLUDEDWhat you get10 items

01Daily feed of every prospect's LinkedIn posts
020–100 engagement score per post (recency, relevance, intent)
03AI comments drafted in your voice, per post
04Smart likes + auto-reaction selection (👏, 💡, like)
05One-click approve, edit, regenerate, skip
06Auto-approve at the ICP, list or prospect level
07Spread across every connected LinkedIn account
08Per-account daily cap + quiet hours respected
09No double-touch on a prospect inside 7 days
10Pre-send warming as a real sequence step

EXCLUDEDWhat you skip10 items

01Doom-scrolling LinkedIn for an hour to find one prospect post
02'Great post!' under everything (DitLead blocks this)
03Generic emoji storms that nobody reads
04Comment automations that pitch your product in the same breath
05One LinkedIn account doing all the engaging until it gets flagged
06Engaging on the same prospect's three posts the same morning
07Drafting a comment in Notion, copy-pasting, losing the tab
08Forgetting to comment on the prospect you've messaged twice
09Hand-tagging which posts are 'engagement-worthy'
10Hiring a VA whose voice doesn't match yours

vs the alternatives9 rows

A feed that doesn't make you look automated

Most engagement tools queue generic 'Great post!' under every photo. DitLead scores, drafts in your voice, and refuses to be promotional.

Capability	TTaplio	AAware	EEngage AI	TTrigify
Feed pulled from your prospects				Manual
AI comment drafts in your voice	Generic			Generic
0–100 engagement score per post
Pool-wide pacing across LI accounts		Per account	Per account
Pre-send warming as sequence step
Pitch-iness guardrail
Per-account daily cap
Auto-approve at ICP level
Reply ownership tie-in

FAQ10 entries

Engagement feed, explained

Still curious? Our team responds in under an hour.

Talk to sales

A curated feed of every recent post from the prospects in your DitLead lists and CRM. Each post is scored for engagement-worthiness (recency, relevance, tone) and ships with a draft like or comment in your voice that you can approve in one click — or let the AI queue automatically at a human pace.

Only with your approval, by default. Every AI-drafted comment lands in a queue you can review and tweak. Once you trust the tone, switch any prospect, list or ICP to auto-approve and DitLead will ship comments at a human, randomized cadence inside your account's daily activity budget.

The whole point of the engagement feed is that it doesn't. Comments are generated per-post from the actual content, in your voice, and only fire on high-signal posts — not blanket likes on every photo. The feed also caps comments per account per day so it stays human.

A thoughtful comment 3–7 days before an invite lifts acceptance by ~31% and downstream reply rates by ~3.1x. The prospect already recognizes your name before the request lands — and reciprocity does the rest.

DitLead reads your last 30 LinkedIn comments (with your permission) and fits a tone profile: average length, opener style, question frequency, formality, emoji use. Every draft is generated inside those bands. You can override per ICP or per campaign.

Yes — that's the highest-leverage way to use it. Add a 'pre-warm' step at the top of any LinkedIn sequence to auto-engage on the prospect's 1–3 most recent posts in the days before the connection request fires.

Two things. First, only posts above your engagement-score threshold are surfaced (default 70/100). Second, every comment is scored for pitch-iness on a 0–100 scale and blocked if it exceeds 10%. You won't see 'Great post!' shipped from your account.

No. The pool enforces 7-day cooldown on engagement to any one prospect, across every connected LinkedIn account in your workspace. We also de-dupe against existing 1st-degree comments.

Yes. Every engagement (queue, approve, edit, ship) is logged with a timestamp, the originating LI account, the post URL, and a snapshot of the comment text. Useful for compliance reviews and for tuning voice.

Yes. DitLead picks the right reaction per post: 👏 on milestones, 💡 on insights, ❤️ on personal posts, regular like on neutral. Reactions are part of every account's daily engagement budget.