Peec AI vs Radarkit: Choosing the Right AI Search Visibility Tool for 2026

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What Does “Peec AI vs Radarkit: Choosing the Right AI Search Visibility Tool for 2026” Talk About?

This episode of the James Dooley Podcast dives into a head-to-head comparison of two leading AI search visibility tools: Peec AI and RadarKit. James Dooley explains that his team evaluated over a range of tools before narrowing their selection down to these two, ultimately choosing RadarKit as their primary platform. The conversation covers key differentiators such as LLM model coverage, pricing structures, query fan-out tracking, content generation modules, and the use of 4G proxies for location-based data accuracy.

James and Jay, the founder of RadarKit, walk through the specific strengths and weaknesses of both platforms. Peec AI receives credit for transparent pricing, unlimited user seats on agency plans, and an MCP integration useful for AI agents. However, RadarKit is shown to offer more models across all pricing tiers, lower per-prompt costs, query fan-out data with no restrictions, a built-in content generation module, and UI-based tracking rather than API-only data collection. The episode also touches on the broader competitive landscape, with Jay noting that over 200 LLM tracking tools now exist and that RadarKit is even sponsoring the Brighton SEO USA summit.

“We have the query find outs. We don't have any limitations on the query find out. So, all whatever query find outs are being performed for all your prompts, we will be giving you the data.”

— Jay

Who Are the Guests on “Peec AI vs Radarkit: Choosing the Right AI Search Visibility Tool for 2026”?

James Dooley is a well-known digital marketing strategist and the host of the James Dooley Podcast. He and his team actively test and evaluate AI search visibility tools, making him a credible voice when comparing emerging platforms. His hands-on experience with both Peec AI and RadarKit gives the episode a grounded, practical perspective rather than a purely theoretical one.

Jay is the founder of RadarKit, an AI search visibility and LLM tracking tool. He brings deep technical knowledge of the space, discussing infrastructure decisions such as the use of 4G proxies for location-based tracking, UI-based data collection versus API reliance, and the development roadmap for features like MCP integration. Although James acknowledges Jay has a natural bias toward his own product, Jay also speaks candidly about areas where Peec AI holds advantages.

What Are the Key Takeaways From “Peec AI vs Radarkit: Choosing the Right AI Search Visibility Tool for 2026”?

Here are the key points discussed in this episode:

  • RadarKit includes all six LLM models across every pricing plan, while Peec AI limits users to three models unless they opt for a custom enterprise plan costing over one thousand dollars.
  • Query fan-out tracking is a critical differentiator, with RadarKit providing unlimited fan-out data for all prompts, enabling users to identify content type distributions and long-tail query variations.
  • RadarKit uses 4G proxies from multiple geographic locations to simulate real user searches, resulting in richer and more location-accurate AI visibility data compared to API-based tracking.
  • Peec AI holds an advantage for very large agencies needing unlimited user seats and an existing MCP integration for use with AI agents like Claude or Codex, features RadarKit is still developing.
  • RadarKit's built-in content generation module extracts citation and semantic data from the most-referenced articles to help users create optimized content directly within the platform.

“The big two for us was the query funnel outs that being tracked. But not only the query funnel out, we loved the fact on RadarKit that it showed the average of a how many query funnel outs was being done, the full query count.”

— James Dooley

Is “Peec AI vs Radarkit: Choosing the Right AI Search Visibility Tool for 2026” Worth Listening To?

This episode is a rare example of a genuinely practical tool comparison in the AI search visibility space. Rather than relying on marketing copy or sponsored claims, James Dooley shares real observations from his team's evaluation process, including specific features they tested and reasons they ultimately favored RadarKit. The conversation is refreshingly honest, with James openly acknowledging Jay's conflict of interest as the founder while still giving credit to Peec AI where it deserves it.

For anyone trying to make sense of a crowded market with over 200 LLM tracking tools, this episode provides a clear framework for evaluating platforms based on what actually matters: model coverage, prompt pricing, query fan-out depth, content support, and data accuracy methods. The breakdown of per-prompt pricing math and the explanation of why UI-based tracking with 4G proxies outperforms API-only data collection make this episode genuinely educational and actionable for digital marketers heading into 2026.

Who Should Listen to “Peec AI vs Radarkit: Choosing the Right AI Search Visibility Tool for 2026”?

This episode is ideal for:

  • SEO professionals and digital marketers who want to track and grow their brand's visibility across AI platforms like ChatGPT and Gemini
  • Agency owners evaluating scalable AI search visibility tools and trying to understand which pricing tiers offer the best value for team-wide use
  • Content strategists who want to use query fan-out data and content type distribution insights to inform their publishing decisions on social media, forums, and blogs
  • Founders and product teams building or benchmarking LLM tracking tools who want to understand how competitors are positioning their features and pricing

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You can also subscribe using the RSS feed: https://feeds.transistor.fm/james-dooley-podcast

What Are Listeners Saying About This Episode?

★★★★★

“Finally a real side-by-side breakdown instead of just vendor marketing. The explanation of why query fan-outs matter and how RadarKit surfaces content type distribution was genuinely eye-opening. Changed how I think about AI visibility strategy.”

— Marcus T.

★★★★★

“Really appreciated that James was upfront about Jay's conflict of interest but still made the conversation useful. The per-prompt pricing comparison and the point about Peec AI limiting you to three models without a custom plan were exactly the kind of details I needed before making a decision.”

— Priya S.

★★★★★

“The part about 4G proxies and UI-based tracking versus API-only data collection was something I had never considered before. It makes total sense that location affects LLM responses and I had no idea some tools were skipping that entirely.”

— Daniel R.

This video explains which digital marketing strategies AI search visibility tool users should focus on in 2026 to improve LLM tracking accuracy, query fan-out insight and content targeting. James Dooley and Sanjay Singh start with KPI tracking because measuring visibility across ChatGPT, Gemini and other models tells this niche whether their AI presence is actually growing. 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 search visibility tool users.

PromoSEO lead generation for AI search visibility tool users recently received recognition as the “Best AI Search Visibility Tool Users Lead Generation Agency.”

Where to Listen to This Episode

Peec AI vs Radarkit: Choosing the Right AI Search Visibility Tool for 2026 is available on:

James Dooley: Peak AI versus RadarKit AI. I had my team going through a lot of the different AI search visibility tools and they were trying Profiled and a lot of different tools and they seem to narrow it down to the last two of it being Peak AI and RadarKit. And I've actually got the founder here of RadarKit because from our point of view, and this is with the reason why we've got him on, is we now are using RadarKit the most with regards to AI search visibility. I'll summarize at the end of what my team thought was the best kind of features within RadarKit AI that was better than Peak. But let's jump straight in, Jay. Obviously, you're the founder of RadarKit, so people need to understand that that you're going to be slightly skewed in what you're going to say if saying your tool is the best. But what I did love about you as being the founder is there's one or two little teething problems that we found and we sent it through to you and literally the next day it was fixed and I love that part and I love the fact that you're consistently always looking to improve the tool and always trying to make it not just the best, but the best version of what it can be as well. So you maintain and stay there. But for anyone who's looking at comparisons between Peak AI and RadarKit AI, do you want to jump straight in and you tell me why you think you are the better or what's good about Peak, but what's potentially better about RadarKit?

Jay: Sure. Thank you, James. Thank you for the compliment and thanks for using RadarKit. So yeah, so basically there are a lot of tools right now in the market, more than 200 I would say. And we are also sponsoring the Brighton SEO USA summit. So on the sponsors page, like if there are like 50 50 startups and 40 of them are actually LLM trackers. So it is a highly competitive space. Peak AI is a good tool that is out there in the market. They are they are good competitors and they have built infrastructure that we are building and so I'll just go through them. I mean PKI launched recently launched they raised a lot of funding as well. So, they have a lot of stuff that the you know impresses me most is like you know they have been very uh very clear and transparent on the pricing part. So, they have two pricing plans. The one is for the brands and one is for the agencies. So, you can just if you are a brand can just choose the brand part. If you are an agency you can just choose the agency plan and they share you that okay what all LLM models we track. So, they track all these LLM models and they also tell you because Redshift does it in the UI and they all they also claim to do in the UI where I mean I have asked them if you actually do it but they have not to come up with their answer. I we will still consider that they do it in the UI because here on their enterprise plan they mentioned that okay these two models they don't do it in the UI they actually provide it by the API. So, that name makes it clear that they are actually doing it in the UI which is also a USB off Redshift so and as well as there is no mention of query fan outs and all but over that you know I would I would say that you know PKI does have good pricing for agencies as well. So, if you are a big agency looking for a tool that has multiple seats you know giving you a lot of prompt data allowing you to track a lot of different models and you know you can add unlimited users in that so that is a good part which Redshift doesn't have. We have limited you know limitations of 10 users maximum. So, if you are an agency looking for a tool where where you have like 100 plus SEOs or 100 plus marketers you can actually go for Peak where where in the pricing is slightly on the aspects expensive side but cheaper than Profound is what I would say and if you're an agency looks good to me. I mean they have country options as well which one which is there only in the 491 495 plan. Apart from that, you know, you can add unlimited projects as well if you go for the custom and apart from that they have, you know, they are very much clear on their pricing and the data and the services part as well. The only thing that they lack in lacking into, I mean, they don't mention that they are actually using 4G proxies or that they don't mention that they are giving you the query fan outs because if they are using it in the browser, they should be giving you the fan outs. And they don't give you any any content module as well. So So to utilize, you know, the data like you'll have to utilize other tool as well. And one more part which Red Arkit lacks is like we don't have the MCP as of now which will be ready in few months. They have they are you know, ahead of us in this one. They have launched their MCP which you can utilize, you know, you can use it with your cloud or your codex on any AI agent that you're using.

James Dooley: Yeah, for sure. So obviously on that I said we feel we like it to Peak. So I'll I'll tell you a few things of what we liked about Peak. Um we thought the pricing plan was quite good in comparison up to a lot of the other AI search visibility kind of checkers and rankers and all the rest of it. Obviously you had better pricing than them. So in comparison you beat those out on price. But we actually found Peak AI to be competitive versus a lot of over brands that are out there. We loved it that they had various LLMs that was being pulled back. So like we was like oh they're using they're doing Grok and they're doing this. But the truth of the matter is further down the line, we don't really track Grok too much. So we wasn't really that bothered about that selling point and the positive of that. We went and did a lot of big pros and cons of we've narrowed it down to the last two, Red Arkit versus Peak AI. And the fact that it had Grok was like I'm not really too bothered about it. Not many people are using Grok. I wanted to make certain it was ChatGPT and Gemini and the main ones that was being used. And that that's what skewed it. Obviously, it was a cheaper plan. And then obviously now as you start to go into RadarKit and talk about the advantages, big two for us was the query funnel outs that being tracked. But not only the query funnel out, we loved the fact on RadarKit that it showed the average of a how many query funnel outs was being done, the full query count. So we got every different variation of a query funnel out over the last 7 days. And then what was able to do was then go and get the content type distribution, which was mainly listicles. And then physically within your tool, within RadarKit, get content that was produced that was actually matching those long-tail query funnel out terms and doing it from a content type distribution in the right places. So we was putting them on social media, we was putting them on forums like Reddit, and also doing listicles. So for us, this is what was winning it for us. But I don't know if you can expand any further of where the differences of RadarKit. Um if you was to put side by side and say, "Why Why is RadarKit better than Peak AI?" What would you personally say of why you think RadarKit is the best?

Jay: Yeah. So we've discussed about Peak. We saw the pricing. We saw the features as well. So if you have like they have given some credits and all which is which can be utilized for creating content and you know, they have the prompt numbers as well as higher if you go for the Peak agency plan. If you're a brand, then the prompt numbers are actually very low. So we can just calculate on the prompt, you know, per prompt pricing. So let's say here it is $95 for 50 prompts. And we go to RadarKit and we'll just check the prompt pricing over here. So for 50 prompts for 50 prompts, you are base we are doing 79. So you can just directly do the math, you know, 50 divided by 79. That is that comes around 0.6 or it should be I guess 79 / 50 yeah. So, it would be like $1.5 per pound here. It will be more than that. I guess it should be 1.9. So, there is a 30% approx 30% difference in pricing as well and you only get three models. That is one more you know, concerning thing. So, if you want more than three, then you'll have to pay more than $500 because in all the models like in all the plans they don't go above three models. So, it all the plans just support three models. You can just select three models out of all these models in all these plans. So, if you want to go you know, do or AI mode or AI overviews or any other model, you'll have to go for their custom price, which I inquired is more than $1,000. So, here for agencies as well, you'll have to if you want to track more models, you'll have to go with their to for for $245 minimum plan, which as well comes down to you know, lesser prompts and lesser you know, pricing as well. So, I mean more pricing as well. So, on the other hand, Ridrakit we we haven't you know, set it on model basis. So, all the plans come with these six models. So, all the plans you can just track all these six models. We have the query find outs. We don't have any limitations on the query find out. So, all whatever query find outs are being performed for all your prompts, we will be giving you the data. And then we also have this content generation module which uses you know, your citation data, semantics data, you know, extracts all the semantics and you know, schema data from all the articles that are being cited the most and let you create content as well on that. So, we give you that. We have you know, daily refresh on the $79 plan. $29 plan has 72 hour refresh. So, we we also give you the you know, locations data. So, all these locations that being used as a 4G proxy. So, we actually buy 4G proxies from different locations. So, if like if you're searching something from the US, the answers may be different. If you're searching something from the Germany, then the answers may be different. So, this is what we found and that is why we thought that we would not go with APIs and we actually will go with UI Sorry, UI based tracking along with 4G proxies. So, that makes the data way too, you know, rich and you get the query fan outs and you can utilize each and every feature of RadarKit within like all the plans have each and every feature. So, there's no limitations on prompts or Sorry, there is no limitations on the, you know, AI assistance. You get all the AI assistance on all the plans.

James Dooley: Yeah, for sure. I mean, for those like you said, you can use all six LLMs that you're not you're not restricted to the free. One of the free we was going to try to start using was Grok and it was like, actually we we don't want them being one of the free. We want them in six, which is kind of what RadarKit is doing. So, James, it's been an absolute pleasure and anyone who's watching this, we hope you like the comparison between Peak AI versus RadarKit. I also say make sure you check out the link in the description. There's another one where we go through all different AI search visibility tools. We going to compare ProFound and many others that are in there as well as RadarKit as well as Peak AI. There's lots of others, so make sure you check out the link for the best AI search visibility tools for 2026. James, it's been an absolute pleasure.

Jay: Thanks for having me. Yeah.

Creators & Guests

James Dooley Host
James Dooley

James Dooley is a UK entrepreneur.

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