ZevsMatic

Verified purchaser

Deals bought: 45Member since: Dec 2023
4 stars
4 stars
Oct 16, 2025

Solid foundation, but not built for power users yet and needs UX Improvement

I’ve been testing LiGo, and it’s clear the team behind it has a good vision. The tool has genuine potential. It understands tone surprisingly well, and many of the post suggestions are actually solid. When it works, it saves real time. I also like how it begins to mirror your own writing style after a few posts, which makes your content feel more personal and consistent. The option to create your own templates is a nice touch, and the overall interface looks clean once you get used to it.

LiGo produces a lot of strong content ideas with catchy titles, and the customization features are simple to work with. The voice feedback option is also clever, it lets you speak adjustments directly and refine your tone instantly. That kind of interaction makes the workflow smoother and faster, especially for people who post often.

Still, the platform feels rough around the edges. The navigation isn’t intuitive, and several features sit under sections that don’t clearly explain what they do. “Add Social Media Post” sounds like a posting tool, but it’s actually where you create templates. “Repurpose Content” is another one that could be renamed for clarity. These details sound small, but they slow you down and make the overall experience less intuitive.

The biggest drawback, though, is the comment credit limit. Only being able to generate between 150 and 450 AI comments a month depending on your plan is far too low for anyone serious about growing on LinkedIn. If you comment daily, you’ll hit that ceiling before the month is even halfway through. It becomes a real restriction. For people who post and engage casually, that’s fine, but for active creators or agencies, it’s a dealbreaker. Good thing you can purchase extra credits for each functions with rollover: https://ligo.ertiqah.com/credits-billing

There are other areas that could use refinement. When you create your own comment templates, you can’t go back once you start editing, and there’s no way to organise them properly. It would make much more sense to have a “My Templates” section with folders or filters so you can quickly find and manage your own styles. Small UX improvements like that can make a big difference in how smooth the workflow feels.

I’d also like to see more flexibility when it comes to creative control, simple things like adding direct links, or choosing between different writing styles or models for certain types of content. Some of the generated text still carries that slightly structured rhythm that makes it sound a little mechanical. It’s better than most tools, but still needs light editing to sound fully human. I also miss the possibility to add own trusted sources from documents and urls.

Scheduling is another thing that should be included by default, not sold as an add-on. For anyone who creates consistently, having to handle scheduling separately feels unnecessary. The comment generator itself works, but it still sounds a bit too polished at times, almost too perfect to feel real in a human conversation. Positive is that I control what to reply, so LiGo works more like a access tool for your template comments.

On the positive side, the founders deserve real credit. They’re responsive, open to feedback, and clearly trying to make the product better with every update. The base tech is strong, the concept is smart, and you can feel that the direction is right. With more flexibility, a clearer structure, and a more natural writing flow, LiGo could become an essential tool for serious creators.

Right now, it’s a good starting point, useful for light to moderate users who want to post and engage without too much hassle. But for people who rely on daily LinkedIn engagement as part of their business or personal brand, it still needs more depth, better UX, and more breathing room to truly scale. If the team keeps improving it, LiGo has every chance to grow into one of the best LinkedIn tools in its space.

With OpenAI Agent flow builder, using RAG+MCP and inbuilt automatisation with other AI models, I can connect LiGo's api key with my Agent. What's left? Fixing the drawbacks, and I am sure this still could be a great investment and five tacos.

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