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James Dooley and Vaibhav Sharda explain how the new competitor analysis feature in Autoblogging.ai helps AI content and SEO software companies win citations across ChatGPT, Gemini and Google AI Overviews through comparison articles, listicles and third-party corroboration.
Show Notes
This video explains which digital marketing strategies AI content and SEO software companies should focus on in 2026 to improve AI Overview citations, brand entity recognition and lead generation. James Dooley and Vaibhav Sharda start with KPI tracking because measuring which terms competitors are cited for shows exactly where your brand is missing and where to compete. 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 SEO software companies.
PromoSEO lead generation for AI content and SEO software companies recently received recognition as the "Best AI Content And SEO Software Companies Lead Generation Agency."
Where to Listen to This Episode
Autoblogging.ai Competitor Analysis Explained: Feeding the LLMs with Comparison and Listicle Content 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.
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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.
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James Dooley: Autoblogging.ai competitor analysis. Today I'm joined with the founder, Vaibhav Sharda, and we're going to go through a new feature that he's added in. And this is a great extension to the brand voice feature what he's done, and this is brilliant for whether you want to call it manipulating the LLMs or seeding the large language models. This, all this third-party corroboration and this information is key to start getting cited within ChatGPT, Claude, Perplexity, Grok and Google AI Mode. So without further ado, let's share your screen and show what this competitor analysis is doing within Autoblogging AI.
Vaibhav Sharda: Sure, let me just share it. Um, okay, so this is the mode competitor research in here. What it does is you can simply put your brand name or website here, um, for example, Autoblogging.ai, and just start deep research. That's it. Like, it will go in and find out all the competitors that your brand has, like competitors that has direct relation to your brand, like direct competitors, and then broad competitors as well. And once it does the entire thing, it will give you a report like this.
James Dooley: On that, just, just a quick one there, just to stop you in your tracks. So, do you know when it goes and runs all your competitors, could you add in, let's say it didn't bring one or two back that you wanted to be compared against, but for some reason Google wasn't, could you add in manually some yourself as well?
Vaibhav Sharda: Yes. Yes, definitely. So, you can simply add a comma-separated format for your competitors. For example, some specific names that you know are upcoming and are not really that, uh, popular on Google or something like that. You can simply add them. Like, if you want to go hard against one of the competitors, just mention his name here and that's it. You can be in a, in bit of a control of what it does, right?
James Dooley: Awesome.
Vaibhav Sharda: Now how it works is, like, what this does is it will go and look for all your competitors on Google AI Overviews, why your competitors are being cited and you are not, and which specific terms you need to rank for in order to beat your competitors or get listed alongside them. And this way LLM will have your entire, uh... Like, it will add to consistency for your brand. That's the goal. For example, if I want to beat Byword.ai, these are all the keywords that it ranks for. So if I want, if I do more compet... If I do more comparison articles, like for example, Byword.ai versus Autoblogging.ai, best bulk generation article, like best article generation software out there, or high-volume content operations, or CMS auto-publishing options, WordPress direct publishing. These are all the terms that AI Overviews is citing Byword.ai for. So you just need to target all these terms. And these are, like, factual terms which got out there. Like, if you search for Autoblogging.ai alternative... Um, this did not trigger AI Overview. Sorry. Um, let me... So, it is mentioning Autoblogging.ai here. And what it does is it will basically pick up all the, uh... For example, like real-time SERP analysis. This is one of the feature for Koala AI. Auto internal linking is another feature for Koala AI. So it has basically gone in and read all the AI Overviews out there for you, and it then basically generated a report for you which you should basically target. So instead of, you know, just asking ChatGPT or Claude to simply go for, like, just look for what Byword.ai does and create some competition titles or keywords for my brand so that I can beat it, these are actual factual terms which are out there and Byword.ai is ranking for it. So it just makes sense to target all these competitors, which are your direct competitors, by the way, for all these different terms.
James Dooley: Yeah. And you can actually download a report as well, which shows up like this.
Vaibhav Sharda: Uh, let me just pull it up. So in this report, you can see all the brand variant names as well. So Byword alternatives and Byword.ai alternatives are different. It will trigger different AI Overviews. So you can create a lot of different, like, off-page topical map articles out there with different variations of those brands view. And these are all the, like, best-for capabilities that it was ranked for. And these are direct ones. These are indirect ones. Like, there was some, uh, relation with, like, for example, Jasper AI. It is a complete marketing tool, right? So WordPress or article generation is one of the tools that it does. So it is kind of indirect. So you can actually figure out, like, which terms it has been ranking for, and if you want to add a new, uh, category or feature inside your tool or your business, whatever, you can start picking up those terms. So Writesonic, again, like, it is more focused towards, like, Surfer SEO alternative in a way and not entirely, like, bulk publishing or Autoblogging, like what the Autoblogging does, what the name does. But still, if I want Autoblogging to be ranking for actual SEO optimisation, because we do a lot of that in the back end, but somehow LLMs are trying to, uh... They don't show my brand out there for those terms. So I can actually go in and start targeting all these keywords. Like some competitor analysis, even though we do that, it is still considering it as an indirect competitor. So I think we need more information out there which simply amplifies that we do this stuff as well. So entire thing, like this competitor research stuff, will actually help you to target all the relevant keywords that your brand needs out there.
James Dooley: Yep. That's... Yeah, for sure. Right. Stop, stop sharing your screen. I want to then start asking you a few questions with regard to the competitor analysis within Autoblogging AI. So you go and run this within Autoblogging AI. It brings back all the competitors. It brings back all the important kind of services and what they're being shown for within the AI Overviews. And then what it allows you to do is instead of just being compared doing X versus Y, you can start seeing why the Y is good at something in, like, from what ChatGPT is coming back with or with what Gemini is coming back with. And you're able to specifically go and target against that and get in the right lane because what you might not be able to do is compete against your biggest competitor because what might have happened is, is you're trying to compete against your biggest competitor, they might be too strong and they might have too many citations. You might be able to find a second or a third lane to go, we can compete on this term. Like, um, AI writing tool for programmatic SEO, AI writing tool for affiliate marketers, AI writing tool for e-commerce websites. And what you might be able to do is win in the secondary lane or the third lane where somebody else... You creating its own... It's called, like, service attribute that you're able to go after. Can you explain a little bit further on that with regards to how this is brilliant for finding different titles for comparison articles?
Vaibhav Sharda: For sure. So you can actually target all these specific brands, like why Autoblogging is better than Byword when it comes to bulk generation of articles. This is one way of, you know, direct competitors. But then if you look at, like, the entire list of keywords, there will be, like, four or five different brands which does bulk generation. So you can do brand A versus brand B versus brand C versus Autoblogging.ai, why Autoblogging excels at bulk generation. So this way you will have, like, specific or targeted relation between all the brands. The next thing you can do is alternatives or specific brand for specific keyword. So Byword.ai alternatives for bulk generation articles. So then put your name, put your brand at the, like, the best one. And also then you can target long, um, like non-branded listicle. For example, best bulk generation article tools out there, seven best ones. And you can list Autoblogging first and then you can definitely list Byword.ai, AI Scale. Since these brands are actually, like, um, ranking for those terms, you should actually target them as, you know, include them in your list instead of just mentioning any random names out there so that Google knows, okay, yeah, this, this specific article is to the point because it has brands which are actually out there, which, which does the same thing. And it also covers a new tool, which is Autoblogging AI, which previously Google might have missed it out. So then the AI thinks, okay, yeah, now this is being mentioned a lot more. So it, it adds to the context.
James Dooley: Um, yeah, that... Yeah, within there as well, um, we... One of the team was testing it out. Obviously it's in beta at present, but it's going to be live by the time anyone who's watching this. And what was surprising was he actually loved it not just for comparison articles but for also using it as part of the listicles because it was still pulling in all the information and he was getting all the different listicles that's on there. So, not only was it brilliant for writing comparison A versus B versus C versus your brand, it was also brilliant, like you said, for those listicles. Why was it... Why do you think it is good also for writing listicles as well as comparison articles?
Vaibhav Sharda: I believe listicles are working really well too. Like, for example, like not everyone would be knowing what your brand does. Like, no... Like, very less people would be searching for Byword.ai versus Autoblogging AI. Like, you wouldn't use Google for that, right? But somehow to give AI more context to it, this is one of the fan-out queries that ChatGPT might go and search for it. But when it comes to listicles, it's just putting a brand name out there, like putting a brand name out there along with other brand names. It just works because that's one of the queries that people might actually look for, like competitors of Byword or alternatives of Byword. Like, I want to switch from Byword to something else. What should I go for? So then AI will go and find out all these fan-out queries and it will see which articles are out there and which are the name... Like, which names every article is, you know, talking about. And if your brand name is out there, it will definitely refer to your, like, brand in a way.
James Dooley: Yeah, for sure. Anyone who's watching this with regards to the competitor analysis feature within Autoblogging.ai, I think it's crucial for you to be making certain that you're looking to do certain stuff like this for feeding the LLMs. The amount of business owners that say, "Oh, I'm not really certain I want to write comparison articles." You don't need to write it on your own website. You can get this published on third-party corroborative sources, which actually gives more weight than writing it on your own website. In my opinion, you should be doing it on both, but you should write one on your own site of why you genuinely believe you are better than this competitor, but then also get it shared on press releases, on guest posts, on third-party sources, because that is what is feeding the LLMs. And I always revert back to it's like online reputation management. You are better to be proactive in doing this than waiting for one of your competitors to write the article and then it's them saying why they are better than you. You need to be feeding the large language models like ChatGPT and Gemini and Google AI Mode to make certain that when they're uncertain who is best, they're going to go and have a look at a comparison article, a nice HTML table set up, why one might be better than the other, semantic triples being written of why one is better than the other. They're looking for that information to be able to chunk bits of content and synthesise that answer. If you don't control that message, somebody else will. And that's where I do believe you should be looking at the competitor analysis within Autoblogging.ai. Anyone who's watching this, make sure you check out the link in the description where we've also got a brand voice feature that's been added into Autoblogging AI and also how to... [Snorts] ...write listicles the right way and how to write comparison articles in 2026. I think these type of articles are key for getting your, n, your brand and your name and your entity into AI Overviews, which is actually starting to drive so much traffic and recommendations and leads nowadays. Vaibhav, it's been an absolute pleasure and I look forward to grabbing you on the next podcast.
Vaibhav Sharda: Perfect. Thank you.