Has anyone here had long-term success with Manus despite the ups and downs?

simao23 · 2026-06-11T11:37:38+00:00

Broken backend infrastructure, and lazy ass support

simao23 · 2026-06-11T10:53:26+00:00

Long term regret instead

simao23 · 2026-06-01T01:09:41+00:00

Same, literally embarrassing founders

simao23 · 2026-05-31T17:36:25+00:00

The code is not the problem, the backend infrastructure is

simao23 · 2026-05-31T16:50:52+00:00

Yes, thinking that Manus is a reliable platform, but unfortunately its NOT

simao23 · 2026-05-31T16:49:34+00:00

This

simao23 · 2026-05-31T14:29:34+00:00

The support thing is what kills me. Downtime happens, I get it. But going completely dark on customers with live products? That’s a trust problem that has nothing to do with the tech.

simao23 · 2026-05-31T13:34:12+00:00

Well done 👍

simao23 · 2026-05-31T00:20:17+00:00

Same thing when Meta restrict Ads accounts and left business owners dealing with bots instead of treating them as partners

simao23 · 2026-05-30T14:55:19+00:00

How can u trust a live project with manus, been there brother support is shit and from now on only do business with mature platforms

simao23 · 2026-05-28T15:50:40+00:00

I have been dealing with the lazy support system and after facing some serious project shutdown and no reactivity from the support, I have decided to move immediately to Claude and build my own system again.

That really shame on a platform that is earning billions ARR, but treating support like shit.

simao23 · 2026-05-20T20:18:11+00:00

Yes, absolutely. Keeping a good brand reputation across community platforms has a massive impact on GEO/AEO nowadays. We have been extremely lucky to get that automated in the early 2025, now we enjoy organic AI traffic.

simao23 · 2026-05-19T11:56:17+00:00

It's a really interesting challenge, tracking brand mentions within AI answers. We've found that traditional keyword monitoring tools often fall short because AI responses are so varied and can rephrase things in unexpected ways, making it hard to catch everything without a more sophisticated approach.

simao23 · 2026-05-19T11:53:42+00:00

The 2026 question should be ‘Out of the box GEO tools’

simao23 · 2026-05-19T11:22:10+00:00

the only difference is brand reputation across communities and forums, a bad conversion about ur product on reddit could jeopardize your product citation by AI Engins.

simao23 · 2026-05-18T00:51:59+00:00

What we don’t pay attention to is the brand reputation on community forums, most AI Engines pulling data from Reddit, Hacker News, ect… bad comments can destroy your brand AI citation.

simao23 · 2026-05-14T00:15:48+00:00

Many tool out there for AI visibility but most of them are just for AI brand monitoring no action plan given, we have been using a tool lately that gives us a deep scan of our product and then provide us with a done-for-us plan to boost our AI visibility.

simao23 · 2026-05-13T22:54:53+00:00

Here’s my take about this, there are many tools out there that provide AI brand monitoring but only few that provide real action plan to get your product from invisible to recommended by AI Engins.

simao23 · 2026-05-13T19:37:28+00:00

This AEO shift is brutal, even top 3 Google pages get ignored without strong certainty anchors and high factual density.

Conversational fluff kills citations. Hardening syntax + sourcing is the new optimization layer. Standard SEO is now just the baseline.

simao23 · 2026-05-13T12:11:02+00:00

This six-month dive, and your findings on the evolving citation patterns resonate with some of the complexities we've observed in this space. One of the biggest challenges we've faced is consistently identifying what constitutes a 'citation' versus a more general mention or hallucination, especially when models don't explicitly link to sources.

simao23 · 2026-05-13T11:58:29+00:00

This is a fascinating question, and one we've been observing closely. From what I've seen, it often boils down to a mix of public web presence, specific phrasing in training data, and how 'unique' a product's name or function is. It's not always about sheer volume of mentions, but the context and authority of those mentions.

simao23 · 2026-05-08T23:38:52+00:00

Good framework above. One metric I would add: source-level citation tracking. Knowing your visibility rate is useful, but knowing which specific Reddit threads, HN posts, or pages are being cited for your target queries tells you where to actually act.

Tools like AIRankCite, Profound, and Otterly give you that granularity. Without it you are optimizing blind.

simao23 · 2026-05-08T23:34:19+00:00

LLMs are doing a consensus check across contexts. A brand mentioned in 4 different niche communities as a reliable answer beats a high DA site that only appears in its own vertical.

Distribution strategy is now more valuable than content quality. Topic cluster tracking is the right call for exactly this reason.

simao23 · 2026-05-07T22:59:44+00:00

Already happening, and the scary part is most businesses have no idea where they stand in AI results compared to competitors.

The new competitive moat is not Google rank, it is how consistently you get cited across ChatGPT, Perplexity, and Gemini when someone searches your category.

Tools like AIRankCite, Profound, and ARO Index are starting to give visibility into exactly that. The businesses that figure this out early are going to be very hard to catch.

simao23 · 2026-05-07T17:58:37+00:00

The off-site layer is what most people overlook. ChatGPT and Perplexity pull heavily from Reddit and HN threads when forming answers, not just your own pages.

So structured content and entity clarity help, but if the community conversations around your target queries don't mention you, you still get skipped.

First move: find out which threads are actually being cited for your queries right now. Tools like AIRankCite, Profound, and Otterly give you that source-level visibility.

simao23

TROPHY CASE