Published on: May 13, 2025 Updated 2 times since publishing
SafetyDetectives recently sat down with Vaibhav Sharda, Founder of AutoBlogging.ai, to explore the future of AI-driven content creation. With a background in automation and SEO, Vaibhav transitioned from freelance services to building a platform that helps publishers generate high-quality, SEO-optimized articles at scale. In this conversation, he shares the journey behind AutoBlogging.ai, the technical choices that set it apart, and his candid thoughts on the ethical and security implications of AI in the content world.
Could you share a bit about your background and what inspired you to create AutoBlogging.ai?
I’m Vaibhav, from India, who has been into automations since 2010. I was a freelancer on SEOClerks and Fiverr for 6-7 years, and then moved towards SEO. Learning and implementing SEO on a site gave great results. I wanted to scale things out, but then, it was too tedious. I started automating RSS Feeds scraping + Spinning and launching new sites on scale. However, scraping and rephrasing did not feel right.
GPT was launched in those years and it got me interested. I started testing things out. With the API, things got really easy for me to scale up my sites, with unique articles. I started selling Content generation as a service to a lot of blog owners. Autoblogging was launched just to give those blog owners a platform to not rely on my delivery schedule for new content. They could use it instantly, and from anywhere.
What sets AutoBlogging.ai apart from other AI-driven article writing tools in the market?
I believe the SEO background, with relentless drive for perfect articles that works consistently, is our USP.
- We have 100s of features that can improve the articles by 10x!
- We do tons of rewrites in the backend, and not just do 1-shot calls to OpenAI to get an article.
- It is a tool built for SEOs, by SEOs. We constantly keep on experimenting and learning on what works in the SERPs.
- And then, we implement those changes in the outputs silently, making it deliver the best SEO optimized articles.
Many AI-generated articles are critiqued for plagiarism or misinformation. How does AutoBlogging.ai address these challenges to ensure content quality and integrity?
We’ve implemented a strategy that doesn’t scrape and plagiarise articles.
For example, News mode inside Autoblogging, it mimics a news article writer by learning from different sources that went down, understand it, and then creates a fresh piece on what really happened, keeping all quotes and sources intact.
Having said that, AI content and Human written content needs to go hand in hand. We should be compensating Human writers in a big and easy way for them to be motivated enough to bring in new information that’s happening out there.
Given the platform’s focus on SEO optimization, how does AutoBlogging.ai handle sensitive user data, like keyword research or private prompts, to protect user privacy?
- Private keyword research – No data is stored or used later to improve our backend.
- Private prompts – we do not allow that either since our goal is to minimize the efforts our users need to put in, to get the perfect article.
We use our own fine-tuned models, and improve upon our own tests that we do every week or so. And we always do 1000+ articles, giving us enough data on what’s broken, and what needs to be fixed instantly.
How do you see the role of AI in content creation evolving, particularly concerning ethical concerns and security risks?
For text, I think Google AI Overviews is a bad thing for writers (but great thing for users).
It feels unethical as Google simply scrapes all the sites that are writing articles to bring in visitors to make money, and delivers the information without having the user to visit any of these sites.
This is not sustainable as businesses will get shut down if they do not make money.
- For Video and Voice:
I’m actually worried about AI Videos, and Voice calls in the future (it is already here). I think people will not be able to differentiate between real and fake, and that’s a big deal.
What advice would you give businesses or content creators who are hesitant to adopt AI tools due to concerns about accuracy or cybersecurity risks?
I think, read through the policies and check how your data is being used. If unused, adopting AI tools should definitely happen. This should increase productivity, and make processes very efficient.
- Accuracy should be fixed or checked by human reviewers.
- Cybersecurity risks: Best to have humans oversee things and find and fix any loopholes.