Launched this week

CiteVox
Research-Backed LinkedIn Posts In Your Authentic Voice
29 followers
Research-Backed LinkedIn Posts In Your Authentic Voice
29 followers
LinkedIn posts you can actually stand behind.
CiteVox does the research for you. We dig through credible sources to build posts grounded in real, verifiable information. Every claim links to its source in your dashboard. Check it, trust it, then publish.
Your voice is yours. We study how you write. Your rhythm. Your vocabulary. The way you structure a thought. And we match it. The output sounds like you, because it learned from you.
Official LinkedIn Developer Partner.
2 free posts to start.









sitesGPT - beta
I am a big fan of products for LinkedIn . I have made many products for LinkedIn myself. For ai based content, somehow it never felt authentic, this looks quite promising. Great work deep and sethia team
@shreyan_mehta
Thank you! Really appreciate this coming from someone who's built LinkedIn products themselves.
You get it. AI content often feels off. That's the exact problem I wanted to solve. The voice cloning studies how you write. Your rhythm, vocabulary, structure. So, the output feels like you, not a template.
Would love for you to try it and tell me if it passes your authenticity test.
LinkedIn is currently drowning in generic 'ChatGPT slop' that sounds confident but says nothing. The fact that this tool actually cites its sources (like HBR/Reuters) is the real differentiator. I don't need another tool to generate fluff, I need something that helps me build credibility without spending 3 hours researching. If the 'voice cloning' can actually stop me from sounding like a robot, this is a winner.
@pharmacist9527
You nailed it.
The problem isn't AI. It's the lack of tools to guide AI properly. LinkedIn is where your clients, employers, and colleagues are. You can't risk hallucinations on that stage.
We take research seriously. We don't just search the topic as is. We dig from multiple angles. Business insights, facts, news, user discourse. And we prioritize tier 1 sources over random blogs.
Below is a post I generated for my personal LinkedIn account.
6 sources. IBM, Google Cloud, industry reports. Took less than 2 minutes. Compare that to 3 hours. The voice was trained on my past articles.
You be the judge. Are these citations legit? Does the writing sound human or like a template?
Try the 2 free posts on a topic you know. See for yourself.
Post Example:
You think you're just prompting AI? 🤔 You're actually managing a team.
Sounds a bit much, right? But let's be real. The real power of AI isn't in a single chatbot. It’s in orchestrating multiple specialized AI "agents", your digital workforce to get a complex job done.
Think of yourself as the project manager. You're planning the work, assigning tasks to different agents, reviewing their output. And yes, you're giving feedback. Because sometimes they don't quite hit the mark, and you guide them. Just like with people, these agents learn from your feedback, actively correcting inconsistencies in their work [3]. This "digital symphony" approach is already changing how we work [1].
Companies using agentic systems report productivity jumps of 25-40% [21]. We're seeing 74% of executives achieve ROI within the first year [22]. Even sales teams are 3.7x more likely to hit quotas when they leverage AI effectively [18].
But here’s the kicker: it’s not always smooth sailing. Just like real teams, AI agents can run into "brittle task handoffs" or "inefficient coordination" [15]. Their non-deterministic nature means you'll still face unpredictability [13]. You're the human intelligence ensuring alignment.
So, in this new age, the premium isn't just on doing. It's on leading. Your management skills are becoming more critical than ever, just applied to a different kind of team.
What’s your biggest "management challenge" when working with AI agents? I'm curious if it mirrors human team dynamics.
Sources:
[1]ibm.com-https://www.ibm.com/think/topics/ai-agent-orchestration
[3]galileo.ai-https://galileo.ai/blog/navigating-the-future-of-data-management-with-ai-driven-feedback-loops
[13]medium.com-https://medium.com/@natishalom/the-unspoken-challenge-of-multi-agent-systems-how-to-ensure-your-agents-dont-go-rogue-0066f009f91c
[15]orq.ai-https://orq.ai/blog/why-do-multi-agent-llm-systems-fail
[18]landbase.com-https://www.landbase.com/blog/the-ai-sdr-dream-team-multi-agent-systems
[21]medium.com-https://medium.com/@custom_aistudio/the-40-productivity-boost-real-roi-from-autonomous-agents-1a9d10aaec36
[22]cloud.google.com-https://cloud.google.com/transform/roi-of-ai-how-agents-help-business
Tried this recently- would really love the PDF feature to launch soon!
@shloka_bordia
It is really good to hear that you liked the app.
For the PDF feature, we are currently working on its implementation, and it is in its testing phase. We are confident to launch it very soon.