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LinkPost: 100% 5-star reviews on Trustpilot

LinkPost vs MagicPost: Which One Should You Choose in 2026?

Updated May 25, 2026·By Yannis Haismann

Honest comparison on 10 criteria: pricing, AI generation, virality prediction. Clear verdict to choose.

MagicPost generates 1 post. LinkPost generates 25 scored variants before publication.

The honest comparison between LinkPost (€99/month, predictive virality score on 33 criteria, 1M+ posts analyzed) and MagicPost ($29/month, generation via standard LLM). 10 scored criteria, Trustpilot testimonials, clear verdict for your profile.

Trained on 1M+ LinkedIn posts and aligned with LinkedIn Engineering's public research (March 2026), LinkPost's virality prediction algorithm scores 300+ factors (including 27 personalized on your style) on each of the 25 variants generated per topic. MagicPost generates 1 post at a time, with no predictive scoring.

+1M X and LinkedIn posts
Predictive virality scoring
Generates 25 posts, picks the best
Try LinkPost now

"I was a heavy MagicPost user. When I discovered LinkPost, it was a different universe. Instead of giving you the fish, it teaches you to fish."

Sofiane Korbi
Sofiane KorbiSwitched from MagicPost to LinkPost
[Quick answer]

The synthesis in 30 seconds

Choose MagicPost ($29/month) if you're starting on LinkedIn and post once a week to test the waters. Choose LinkPost (€99/month) if every post matters for your business: its proprietary virality prediction algorithm scores each post on 300+ factors including 27 personalized on your style, aligned with LinkedIn Engineering's public research (March 2026) ↗. Measured on the 20 most active users: x1.93 likes over 60 days.

Try the free Post Analyzer

[TL;DR · Pick your scenario]

Which one is for you?

For you if
  • Every post matters for your business
  • You sell B2B and want to generate leads
  • You want to know BEFORE publishing what will work
LinkPost
For you if
  • Budget under $40/month
  • You're starting on LinkedIn
  • Testing the waters, 1 post per week
MagicPost

[Why one over the other?]

  • MagicPost wins on entry price ($29 vs €99) and simplicity.
  • LinkPost wins on virality prediction, personalization, and measured results (x1.93 average likes).

TL;DR

  1. 1If your budget is under $40/month and you're starting on LinkedIn, choose MagicPost.
  2. 2If you post to drive business and every post matters, choose LinkPost.
  3. 3MagicPost wins on entry price ($29 vs €99) and simplicity.
  4. 4LinkPost wins on virality prediction, personalization, and measured results (x1.93 average likes).
[Proof in numbers · Measured ROI]

What about ROI?

x1.93
likes over 60 days
Measured on LinkPost's 20 most active users
1-3
leads per viral post
B2B average on LinkedIn
3×
cheaper per post that works
vs publishing blind with MagicPost

[Cohort · 20 most active LinkPost users]

n=20 · 2026-05-22
Beta cohort raw data
#IDLikes/post beforeLikes/post after×AvgBest post beforeBest post after×Max
1LP-00119.170.2×3.6853248×4.68
2LP-0022.99.7×3.37

A viral B2B LinkedIn post brings on average 1 to 3 qualified leads. At €99/month, LinkPost pays for itself from the first post that takes off, thanks to the predictive virality score (33 criteria). MagicPost generates posts at $29/month but won't tell you which one will work. You pay roughly 3x the ticket to stop publishing blind.

Try the free Post Analyzer
[Comparison table · 10 criteria]

Comparison table

LinkPost vs MagicPost · comparison over 10 criteria, scored out of 10
Criterion
LinkPost
MagicPost
Entry price
5/10

€99/month, more expensive but justified by predictive virality score

8/10

$29/month, more accessible to start

Virality prediction
9/10

predictive virality score with 33 criteria, 300+ factors scored, 27 personalized on your style

0/10

No predictive scoring

Post generation
9/10

25 variants generated per topic, proprietary algorithms

7/10

Classic generation via standard LLM

Style personalization
9/10

27 factors learned from your past posts, multiple writing profiles

5/10

Basic tone settings, limited learning

Posts database
9/10

1M+ LinkedIn posts analyzed for scoring and inspiration

4/10

Limited library

Multi-source input (YouTube, podcast, PDF, voice)
9/10

Generates from YouTube, podcast, article, PDF, image, voice note

6/10

YouTube mainly, other sources limited

Competitor Spy mode
9/10

Continuously monitors a creator: controversy, TOFU/MOFU/BOFU mix, viral tactics

0/10

Feature does not exist

Post scheduling
8/10

Built-in editorial calendar, publishes via official LinkedIn API

8/10

Simple and effective scheduling

LinkedIn analytics
9/10

Detailed stats, funnel mix TOFU/MOFU/BOFU, real best-post identification

6/10

Basic stats

AI image generation
8/10

AI images + infographics + self-photos (high quality)

5/10

Standard image generation

[Breakdown · Feature by feature]

Feature-by-feature breakdown

Post generation

MagicPost generates one post at a time on top of a standard LLM (ChatGPT-style). It's fast and it works. LinkPost generates 25 different variants per topic via its own algorithms, each calibrated on a different angle (storytelling, controversy, data, expertise, etc.). You then pick the best one based on the predictive virality score.

LinkPost wins

25 scored variants vs 1 post. You publish the one with the highest chance to take off.

Virality prediction before publication

This is LinkPost's unique angle. Before you publish, the predictive virality score with 33 criteria scores your post on 300+ factors including 27 personalized to your past writing style. The algorithm is trained on a 1M+ LinkedIn posts database to identify viral patterns. LinkPost was designed building on LinkedIn Engineering's public research ("Engineering the next generation of LinkedIn's Feed", Hristo Danchev, March 12, 2026), including the shift to a unified feed powered by LLM embeddings, temporal interaction sequences (Generative Recommender) and a fine-grained distinction between passive and active engagement signals. The predictive virality score models exactly these signals. MagicPost simply does not offer this feature.

LinkPost wins

Feature absent from MagicPost. This is the biggest gap between the two tools.

Style personalization

MagicPost lets you tune the tone (formal, casual, professional) via prompts. LinkPost goes further: 27 personal factors are learned from your past posts (average length, hook structure, emoji frequency, CTA types, etc.). You can also create multiple writing profiles (personal, company, voice of a creator you admire).

LinkPost wins

Automatic learning on your style vs manual settings.

Post scheduling

Both tools publish through the official LinkedIn API (no scraping, no ban risk). LinkPost integrates scheduling into a full editorial calendar with preview and recurrences. MagicPost, however, is officially a LinkedIn Marketing Partner, which grants it privileged status on the API ecosystem. In practice it doesn't change your day-to-day experience, but on this specific criterion, MagicPost has the edge.

MagicPost wins

MagicPost wins on the API side, thanks to its LinkedIn Marketing Partner status.

Analytics and performance understanding

MagicPost provides basic stats (impressions, engagement). LinkPost dissects your posts: engagement rate per content category, TOFU/MOFU/BOFU mix, identification of your real best post (1 in 3 users discovers theirs via LinkPost), evolution over time, comparison to your niche.

LinkPost wins

Actionable analytics vs descriptive stats.

Multi-source generation

Both tools can turn a YouTube video into a LinkedIn post. LinkPost extends this to more formats: podcast, blog article, PDF, image, voice note, raw thought. Particularly useful if you already create content on other platforms and want to repurpose it.

LinkPost wins

More input sources. Easier content recycling.

[Personas · The right pick for your profile]

The right pick for your profile

Freelance starting on LinkedIn (<500 followers)

If you publish once a week to test the waters, your LinkedIn budget is under $40/month, and you want to build the habit before committing to €99/month, MagicPost is a good entry point. You can always upgrade to LinkPost when you switch to business mode.

Recommendation[MagicPost]

B2B SaaS founder driving lead generation

Every post matters because a single viral post can bring 5 to 15 demo requests. You don't have time to publish blind. The predictive virality score tells you which of your 25 drafts will take off. Over 90 days, the ROI of one successful post pays 6 months of LinkPost.

Recommendation[LinkPost]

Coach or consultant scaling personal brand

You want to understand WHY your posts work or don't work to scale your output. LinkPost gives you the algorithm: Spy mode on top creators in your niche, analysis of your best posts, gradual calibration. MagicPost helps you produce, LinkPost helps you progress.

Recommendation[LinkPost]

Marketing agency managing multiple clients

You manage 5 to 20 LinkedIn accounts with different voices. LinkPost's multiple writing profiles + unified editorial calendar save you massive time. Spy mode lets you benchmark each client's competitors. MagicPost remains optimized for one user.

Recommendation[LinkPost]
[Testimonials · Trustpilot 5/5]

They switched from MagicPost to LinkPost

"I was a heavy MagicPost user, but when I discovered LinkPost it was a different universe. Instead of giving you the fish, it teaches you to fish, and you improve post after post."

Sofiane KorbiCA · Trustpilot · 5/5
[Builders · Who built what]

Who built LinkPost and MagicPost?

[LinkPost]

LinkPost — 2 engineers, 17 months of R&D

LinkPost was co-founded in France by two engineers. The proprietary predictive virality score is trained on 1M+ X and LinkedIn posts and was designed building on LinkedIn Engineering's public research (March 2026). 17 months of R&D before the V2 launch.

  • Yannis Haismann
    Yannis HaismannCo-founder, engineer
    ↗
  • Matteo Kocken
    Matteo KockenCo-founder, engineer
    ↗
[MagicPost]

MagicPost — a marketer who learned to code with ChatGPT

MagicPost was created by Naïlé Titah, a marketer (ex-CMO Phantom Buster, ex-lemlist) with no prior developer training. In a YouTube masterclass, he explains he built MagicPost alone in 1 month using ChatGPT-4 as a coding assistant. No proprietary virality prediction algorithm, no ML R&D.

"I truly turned GPT-4 into a developer, and I was able to code my own SaaS Magic Post myself."

Naïlé Titah, MagicPost founder · YouTube masterclass (May 2024, originally in French)↗

[TAKEAWAY]LinkPost is a product built by engineers. MagicPost is a product built by a marketer. That difference shows in the technical depth of the features (predictive virality score, Spy mode, Dataset X-Ray).

[Our verdict · Which one, really]

Final verdict

[Our pick · For LinkPost]

Choose LinkPost if you post to drive business, every post matters, and you want to know which one will work BEFORE publishing. Science replaces intuition. On the 20 most active users, we measure x1.93 likes on average in 60 days, x3 on their best post. That's what we built.

[For MagicPost]

Choose MagicPost if you're starting on LinkedIn, post once a week for fun, your budget is strictly under $40/month, and you want to build the habit before investing. It's a good starter tool, with no traps.

[FAQ · What people ask us]

Frequently asked questions

Is LinkPost really worth 3x the price of MagicPost?
It depends on your goal. If you publish for fun, no. If you publish to drive business, a single viral B2B post can bring 1 to 3 qualified leads. At €99/month, LinkPost pays for itself from the first post that takes off thanks to the predictive virality score. MagicPost won't tell you which post will work, you publish blind.
The predictive virality score, isn't it just marketing?
No. The predictive virality score covers 33 distinct criteria (hook structure, length, question density, emotional mix, calls-to-action, etc.) from 300+ factors total, including 27 personalized to your post history. The algorithm is trained on a 1M+ LinkedIn posts database and we published results: on the 20 most active users, x1.93 likes average over 60 days. Measured before/after, not marketing.
Can I migrate my MagicPost posts to LinkPost?
You don't need to migrate anything. LinkPost connects to your official LinkedIn account and analyzes your existing posts directly from LinkedIn. No copy-paste or manual import. Your writing profiles are automatically created from your last 100 posts.
What if I just want to generate posts without virality prediction?
LinkPost also does plain post generation (with 25 variants per topic, which is already richer than MagicPost). But if virality prediction doesn't interest you, MagicPost at $29/month is probably enough for your need.
[Internal links · Keep going]

Related reading

  • Try the free Post Analyzer
  • LinkedIn study: 438,413 posts analyzed
  • LinkPost vs Taplio
  • LinkPost vs AuthoredUp
  • See all LinkPost plans

Welcome to the new era of content creation.

Try LinkPost now

"I'd tried MagicPost and other generators without real progress. With LinkPost: +79.9% impressions and +42.7% engagement."

Margaux Meunier
Margaux Meunierformer MagicPost user

Updated May 25, 2026·By Yannis Haismann·100% 5-star reviews on Trustpilot

27
89
×3.30
3LP-0033.911.0×2.839149×16.56
4LP-0048.520.7×2.4428461×16.46
5LP-00528.970.0×2.4233822×24.91· Cohort record
6LP-00623.549.8×2.1273159×2.18
7LP-0072.55.1×2.04518×3.60
8LP-0081.42.9×1.99739×5.57
9LP-0097.715.3×1.9812751×0.40
10LP-01014.027.3×1.9553163×3.08
11LP-01127.352.8×1.946287×1.40
12LP-0129.417.7×1.902941×1.41
13LP-01339.673.3×1.85101156×1.54
14LP-014199.8365.3×1.834871136×2.33
15LP-01532.857.5×1.7556140×2.50
16LP-01618.932.8×1.73135316×2.34
17LP-01732.152.9×1.65111167×1.50
18LP-0188.913.8×1.562883×2.96
19LP-0199.815.1×1.542944×1.52
20LP-02043.265.3×1.51115364×3.17

[METHODOLOGY]Cohort: the 20 most active LinkPost users (measured by post volume) during the beta period, before the official public launch. No cherry-picking: top 20 by activity, not by results. For each user, we compare their average likes and record posts over the 60 days before they signed up to LinkPost vs the 60 days after signup. Identities anonymized (LP-001 to LP-020).

"Former MagicPost and ChatGPT user. I now use LinkPost for every post and my content strategy. Night and day. The math makes the difference for KPI-driven creators."

Arthur Huot de NeuvierFR · Trustpilot · 5/5

"I tested many tools, MagicPost and others. They produce content but not in your voice. LinkPost is not just a generator, it's a real creation and steering tool."

+79.9% impressions, +42.7% engagement en quelques semaines
Margaux MeunierFR · Trustpilot · 5/5
Is there a free trial of LinkPost?
No free trial of the full product. You can freely test the Post Analyzer on linkpost.gg/post-analyzer (analyzes 1 post with the predictive virality score, no signup). To use LinkPost in full, you sign up then pick a plan (starting at €99/month, or €790/year on the annual plan).
Are LinkPost and MagicPost French?
Yes for both. LinkPost is co-founded by Yannis Haismann in France (alongside LinkHub, LinkEarn and LinkMagnet in the same galaxy). MagicPost is also French. Both comply with GDPR. LinkPost publishes via the official LinkedIn API (no scraping), so no account ban risk.
Do I need to quit MagicPost to switch to LinkPost?
Not mandatory. Some users keep both during a transition period. But based on what we hear (Sofiane Korbi, Arthur Huot de Neuvier, Margaux Meunier all switched from MagicPost to LinkPost), the large majority cancel MagicPost within days. LinkPost features cover and exceed MagicPost's.
Can LinkPost turn a YouTube video into a LinkedIn post like MagicPost?
Yes, and better. LinkPost accepts as input YouTube video, podcast, blog article, PDF, image, voice note, or raw thought. The output is then scored by the predictive virality score to identify the best version to publish. MagicPost does it mainly for YouTube.
How does LinkPost account for LinkedIn's new algorithm?
LinkPost's predictive virality score was designed building on LinkedIn Engineering's public research, notably the article "Engineering the next generation of LinkedIn's Feed" published by Hristo Danchev on March 12, 2026 (https://www.linkedin.com/blog/engineering/feed/engineering-the-next-generation-of-linkedins-feed). That paper details LinkedIn's transition to a unified feed model powered by LLM embeddings, percentile bucketing of engagement signals (which boosted popularity-signal correlation 30x according to LinkedIn's team), temporal interaction sequences (Generative Recommender, transformer with causal attention), and a fine-grained distinction between passive and active engagement. The predictive virality score models exactly these signals: estimated dwell length, passive vs active engagement mix, semantic post structure, persona-specific temporal profile. That's what sets it apart from a plain LLM-as-a-judge based on grammar.