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Hey everyone, Jay here from J A Tips
YouTube channel and today we will review
Peak AI. Peak AI is a AI search
visibility software that helps brands
track their prompts in the LLMs. So I
have signed up for it and while I'll
show you the sign up system. So here
when you sign up you have to just enter
your brand name then your brand website.
I have entered Zoho for an example. They
also give you to you know select the
location. So I'll not select anyone.
I'll just keep the default location as
United States. You can click next.
PKI keeps on you know it generates
AI-generated overview
Jay from J A Tips YouTube channel conducts a comparative analysis of PEEC AI, an AI search visibility software priced at $189 for three AI models, against RadarKit, positioning the latter as a more cost-effective alternative. PEEC AI enables brands to track their mentions across large language model (LLM) prompts, providing metrics including sentiment analysis (scored 0-100), source citations, and competitor tracking. The reviewer identifies a critical limitation: PEEC AI's onboarding generates prompts containing the brand name itself (e.g., 'what is the best Zoho product'), which artificially inflates visibility metrics rather than tracking authentic user search behavior. RadarKit differentiates itself through real-time browser agents that manually prompt LLMs, capturing whether web searches were performed—a distinction the reviewer considers essential for actionable citation data. The analysis reveals significant response variations between API-based and manual LLM prompting methods, with RadarKit tracking 70 citations compared to PEEC's 10 for identical queries.
AI visibility tools show dramatically different results depending on whether they use API calls or real-time manual prompting of LLMs, with responses varying significantly between the two methods for identical brand queries.
PEEC AI's default prompt generation includes brand names in the queries themselves (e.g., 'what is the best Zoho product for project management'), which creates artificially inflated visibility metrics that don't reflect authentic user search behavior.
Tracking whether an LLM performed a web search during response generation is critical for citation analysis, as only web-search-enabled responses generate actionable citation data that brands can influence through link placements.
RadarKit's real-time browser agent approach captured 70 citations for a single prompt compared to PEEC AI's 10 citations, demonstrating a seven-fold difference in data comprehensiveness between manual and API-based tracking methods.