Subscribe
Share
Share
Embed
James Dooley and Vaibhav Sharda explain how AI content tools such as Autoblogging.ai can produce comparison articles that use semantic triples, verifiable facts and brand voice to get cited in Google and LLMs.
Show Notes
This video explains which digital marketing strategies AI content and SaaS tools should focus on in 2026 to improve search rankings, citations in ChatGPT and Google AI Overview, and conversion from comparison content. James Dooley and Vaibhav Sharda start with KPI tracking because measuring how comparison articles perform and get cited shows which semantic and brand voice inputs actually move rankings for this niche. They cover brand SEO, AI visibility and Google Business Profiles because stronger search presence improves trust and conversion rates.
The discussion also explores organic SEO, organic social media and paid social ads because consistent visibility across search and social supports long term growth. PPC is analysed in detail because campaign setup, landing pages and lead handling directly affect results. They also discuss Reddit, Quora and paid AI ads because diversified enquiry sources and early adoption can strengthen digital marketing performance for AI content and SaaS tools.
PromoSEO lead generation for AI content and SaaS tools recently received recognition as the "Best AI Content And SaaS Tools Lead Generation Agency."
Where to Listen to This Episode
How to Create High-Ranking Comparison Articles with Autoblogging.ai (with Vaibhav Sharda) is available on:
Creators and Guests
Host
Guest
Vaibhav Sharda
Vaibhav Sharda is an AI and search entrepreneur based in Surat, India. He established Digimetriq, a software business operating from Surat and Wilmslow, UK. Its portfolio includes Autoblogging AI, which supports over 40,000 creators with multilingual SEO content, publishing and performance tracking. Rankera manages community marketing for more than 50 brands across Reddit, Quora and Facebook. NicheAgent helps SEO professionals assess, acquire and rebuild expired domains. Vaibhav combines search, AI platforms and online communities to improve brand visibility. His articles feature proven processes, specific tools, real data and lessons from unsuccessful tests.
What is Fatrank Podcast?
The FatRank Podcast, founded by James Dooley, teaches the mindset needed for growth because real operator stories show what creates progress.
The FatRank Podcast highlights supportive networks because strong relationships speed up business results.
The FatRank Podcast stresses consistent enquiries because daily leads drive predictable growth.
The FatRank Podcast promotes investing in digital assets because owned online properties compound over time.
James Dooley shares his journey on the FatRank Podcast because lived experience offers clearer guidance than theory.
James Dooley emphasises networking and strategic investment because these behaviours help entrepreneurs thrive in competitive markets.
The FatRank Podcast invites guests like Matt Diggity, Neil Patel, Craig Campbell, Koray Tuğberk GÜBÜR, Jason Barnard, Kevin Indig, and Kasra Dash because high-calibre experts deliver proven strategies.
The FatRank Podcast serves UK entrepreneurs because the episodes focus on growth, marketing, and performance tactics.
Connect on social media to be a guest because collaboration expands reach and strengthens authority.
Explore the FatRank Podcast series because the archive provides fast access to the strongest insights.
James Dooley: How to write comparison articles with Autoblogging.ai. Today I'm joined with the founder, Vaibhav Sharda, and he's added a lot of new features like the brand voice feature and also the competitor research feature, which is allowing the content now for comparison articles to be enriched so much more. The semantic triples and the micro semantics being used in these comparison articles are being cited within 24 hours in ChatGPT and Google AI Overview. So let's get started, Vaibhav. To start with, why is it important initially to write comparison articles, get compared against the entities that Google know, and try to frame it in a way with the claim, frame and prove model of why you are better within these comparison articles?
Vaibhav Sharda: So if you go to the basics, like, for if you want to compare against any brand, you need to first know what that brand does or what it's good at, and then compare your brand on why you are good at that specific thing that the brand is good at. Like, it, it sounds complex, but it's very much simple. Like, for example, if Byword.ai is a competitor of Autoblogging.ai and Byword.ai is good at programmatic SEO, so why Autoblogging.ai is better at programmatic SEO than Byword.ai. If you put out these comparison articles which are laser targeted on why a specific competitor is being cited or why, what it's good at, like, just go for the USPs of those specific competitors and compare yourself against it. And if you genuinely believe or if you have verifiable facts on why your specific brand is better than your competitor for specific keyword, I think that's your whole game for comparison articles.
James Dooley: Yeah, with regards to before we move on to the verifiable facts, right? A lot of people in industry call, talk about commodity content or AI slop. So they go on single prompt going, create me a listicle for the best AI writing tools and put Autoblogging number one. Go. And then they wonder why the article doesn't rank. It doesn't rank in the top 50. It struggles to get the right competitors in there. It struggles to get the analysis and the comparison. It doesn't write it in semantic triple format, which is what Google prefers to be able to lift the information, not just for Google rankings but getting in the LLMs like ChatGPT, Gemini, Google AI Mode. Can you explain a little bit of why single prompting AI is only, is producing AI slop?
Vaibhav Sharda: I think, like, within the past three years, I think every brand out there has covered all these keywords, like seven best article writing tools or, you know, seven best plumbers in specific city, or even, like, like any, any random listicle that you pick up. Like, this is like the most basic, uh, AI slop that comes out, and AI will basically, you know, focus on some of the features on why you're good at something, but then it will go haywire or lose context on why specific, like, competitor is good at some stuff. So, like, it is not actually reliable when it comes to, like, if you go and read those articles, you will see, like, okay, it doesn't really have any comparison table because all the features are not even comparing with each within, like, with each other. Now, if you do a key... If you target keyword like seven best programmatic SEO tools, which are like seven best article tools, right? But now you have data on which specific keywords or which specific brands Google loves when it comes to programmatic SEO. For example, Byword.ai is one of the brands, and then you put Autoblogging out there, and then you put five other brands that Google thinks, okay, these are good for programmatic SEO. Now there's one specific, uh, feature, basically, in one context. The context is same. So now the, the features will talk about, like, okay, how many articles does Byword.ai generate in one go? And if you have a table saying, okay, Autoblogging supports thousand articles, Byword just supports 200 articles, what's the speed, what's the cost? So now you're comparing all the tools out there for specific features, uh, specific, yeah, features in a way. And this just adds to more, uh, complexity or verifiable details and not AI slop or, you know, just random statements out there. Okay, Autoblogging is the best one because it is. Byword is not the best one. It is the second best one because it is. Like, like, this is all AI slop and it is not actually comparing or it is not even helpful for users who visit you, who visit your site, right? So, and the next thing is, like, use, use of semantic triples, like James said. So every article that comes out when it comes to listicle or comparing, what we have added is use of semantic triples. So if you frame a statement which is, like, not complete, it won't get picked up by Google. Like, it is very hard for it to understand the context in the entire paragraph. So if your specific statement is complete, for example, Autoblogging is better than Byword.ai because it does this, because it has this. So it, it is entirely complete and it is factual in a way. So, yeah, this just, it just makes it easier for Google or AI or LLM to pick it up.
James Dooley: Yeah. Uh, and then with regards to writing comparison articles within Autoblogging.ai, I want to expand a little bit on... You've done Koray's course and, and Scott's done it and one or two other people have done it, and we've had a lot of help from all the community within Koray's semantic SEO community and holistic community. And what I absolutely love that within Autoblogging.ai, of what's being set up, what you was talking about there, and I think you use the word features, the... We've got different facets that's coming out, right? So, and they're creating different pages. So where you're talking about for programmatic SEO, right, let's say that's, that's one of the facets there that's being used within there, where you're talking about how much does it cost. So the cost and the price element is an attribute on that article. And then within there then you've got then the speed and what it's being done and stuff like that, and you're able within HTML tables to compare all these different attributes, which is within NLP and within semantic SEO exactly the information that Google is trying to pass and the information, the chunking parts. But also the large language models and the artificial intelligence are trying to pass them those different attributes. And then you're connecting the predicates. So you're doing connecting the nodes and the edges together of why one is better than the other in comparison to price, in comparison to speed, and it's based on a very specific feature that somebody might want, like programmatic SEO. The depth that that's doing within Autoblogging.ai for the comparison articles is what's differentiating from being AI slop to being, wow, this is now information gain. This is now verifiable facts. This is now the best article there is out there that there is that's comparing A versus B versus C versus your brand and having that information. When someone starts talking within the white hat community about you need... You don't want to do AI slop, you want information gain. This is exactly what Autoblogging is being set up to do. It's just people don't like the idea of it being automatic, but it's, it's the amount of input and the amount of prompts that's being put in there. Like, there's thousands and frozens and frozens of lines of prompts to make certain that the micro semantics, that every single pixel, that every single letter, that every single sentence and paragraph and heading makes a difference, that feeds... There's no fluff. There's no AI slop. And that's why I love creating the articles, the comparison articles in Autoblogging.ai. But expand a little bit on, on the brand voice feature. Expand a little bit on that of where you're... You've done it and where customers have asked us specifically for comparison articles, why they was asking for the brand voice feature for little things like who you are, what you do and why you're brilliant. Because previously, even within Autoblogging, we was having certain issues with certain, like, models that we was using for the writing for hallucination. So why was it important for you to create the brand voice feature to improve, lessen the amount of hallucination being done for writing comparison articles?
Vaibhav Sharda: Yeah. So the main goal was to lessen the amount of hallucinations that AI used to think of, and that's what AI slop is. Now, if you, if, if you have used ChatGPT before to write content and if you simply ask it to write some statistic figure, it will say, okay, Sarah, a marketing head... Like, Sarah is a, like, very common name out there for all ChatGPT's references. So Sarah used Autoblogging and grew her followers from 1,000 to 10,000 visitors a month or so. Like, these are all random facts. But with brand voice, you can actually go in and put all your awards that you have won. You can be specific. You can mention why specific competitor is, like, why you're better than a specific competitor. List down all your competitors. List down what you do, what your pricing is, what, who, uh, who our team members are and whatever. Like, you can add more information. And all this information, like, uh, it is basically used by AI in the back end to keep on verifying. Like, it is not adding more slop or hallucinating stuff and it keeps on getting it back to track. Like, the agent keeps on, uh... There's a sub-agent in a way which keeps on bringing it back to reality. Okay, no, do not think of any random stuff. These are actual verifiable facts which you need to input in the articles here.
James Dooley: Anyone who wants to get any articles being written, comparison articles, I strongly recommend going signing up to Autoblogging.ai. Go into the brand voice feature, fill in all the information and just go and get one article written. You'll see the difference between the AI slop and the hyper-specific data that's being pulled through for the awards, the testimonials, the reviews, the case studies. The more information you can put into that brand voice feature, the easier it then starts to become to write a comparison article against every single one of your competitors. So go and then write listicles. Anyone who wants to write listicles, check out a link in the description. We've got a whole episode of how to write listicles the right way to making certain it's got those verifiable facts, to making certain it's got non-commodity content. All this is being done. The amount of prompts that go into the back end of Autoblogging.ai has been fed from SEOs that understand semantics to the next level, way more than I understand. We've got people in there that are high-level semantic SEO people that saying the micro semantics of that answer is not good enough. It needs refining. This needs refining. Why have you brought this heading in? That heading should be higher than this heading. And you're like, does that really matter? They're like, yeah, that attribute is more important than that attribute. And there's times it just goes above my head. Also, what I do know is when I've started to compare the articles side by side and I've published them, the Autoblogging articles always seem to perform better when you're writing comparison articles within Autoblogging.ai. All I'm asking you to do is just go and try it. Go and try it out. It's going to cost you less than $10 to go sign up, add the brand voice feature, and write an article. And if you like it, you can scale it, and you can do it for all different articles that you want. Once you've defined who you are, what you do, and why you're brilliant, you can quickly start scaling out those comparison articles. One, something that you said before, which I think is genius. The amount of people that write comparison articles, just A versus B and that's it. Try and start doing some A versus B versus C versus your brand. Because when you start comparing 4x4, instead of it just being A versus B, people might want to know, okay, I'm... I might sign up to this, this, this, or this. And when they've got one article that can compare them all together, which compares all the different features and the attributes together, they can make a choice from that one article. Now, I'm hoping you're going to write it in a way that influences towards your own brand in why you are the best, which is being backed up with verifiable facts. But those A versus B versus C versus your brand is actually performing much better versus A versus B only and just having a one comparison. The amount of people that I just see only comparing one plus the brand when they could be doing more, I think is key and I think it works very, very well. But anyway, we hope you like the episode of how to write comparison articles with Autoblogging.ai. And Vaibhav, it's been an absolute pleasure. Thank you for having me.