BusinessMarkets, money & strategy
Creator demos RadarKit AI visibility tracker on one prompt, says forums and listicles drive AI citations
Julian Goldie shows RadarKit tracking one long-tail prompt across six AI search platforms. He reports citations on four of them and argues that forums, listicles and social posts drive AI visibility. Research on answer variability suggests single-prompt snapshots are weak evidence for strategy.
From the r/AISEOInsider (via last30days) article of October 19, 2026 and cited sources: RadarKit gives each prompt a visibility score, a rank, an average position, a sentiment rating, a flag for whether the model ran a web search, and a breakdown of cited content types. [2] [5]
SOURCES[2] Linked video: How an AI Visibility Tracker Showed Me What… youtube.com[5] RadarKit.ai Introduces LLM Visibility Tracker… markets.financialcontent.com
AT Pulse research deskPublished · Updated · 5 min read · AI-assisted analysisAI-assisted, not human-edited. Methodology Corrections Who owns this site
- What happened
- RadarKit gives each prompt a visibility score, a rank, an average position, a sentiment rating, a flag for whether the model ran a web search, and a breakdown of cited content types. [2] [5]
- Original source
- r/AISEOInsider (via last30days) article, independent perspective
- Brief by
- AT Pulse research desk AI-assisted; publisher and contact on the desk page
- When
- October 19, 2026 article published
- Covered
- Oct 20 edition
- Evidence
- 9 sources across 8 sites
- 1How an AI Visibility Tracker Showed Me What Content to…reddit.com
- 2Linked video: How an AI Visibility Tracker Showed Me What…youtube.com
- 3Search Engine Journal: AI recommendations change with…searchenginejournal.com
- 4arXiv: GEO: Generative Engine Optimizationarxiv.org
- 5RadarKit.ai Introduces LLM Visibility Tracker…markets.financialcontent.com
- 6arXiv: Don't Measure Oncearxiv.org
RisingHow it’s measured
YouTube video · 1.2K views · 12 likes
Reach blends public engagement (views, likes, comments, shares, stars) from the platforms where the story or its original source lives: YouTube, Hacker News, GitHub, Substack and similar. A video and the article written from its transcript share one score, taken from the video. Platforms with no data are left out rather than counted as zero, and the age of a story never lowers its score.
RadarKit gives each prompt a visibility score, a rank, an average position, a sentiment rating, a flag for whether the model ran a web search, and a breakdown of cited content types. It covers Perplexity, ChatGPT, Copilot, Gemini, Google AI Mode and AI Overviews. RadarKit's launch release says it collects answers through a real browser rather than model APIs. In the demo, the creator is cited on four of the six platforms, and the platforms differ on who they cite. [2] [5]
For the prompt 'best AI community for agency owners,' forums made up the largest share of citations, collection pages ranked third and social media fourth at 6.9%. Many of the winning sources were the creator's own: his subreddit and a listicle on his site that ranks his own communities in the top three. The video also promotes his paid audits and paid community. [2]
Independent work questions single-position rankings. In SparkToro's roughly 2,961 runs, AI assistants returned the same brand list less than 1% of the time. A separate paper argues that visibility should be measured as a distribution across repeated runs. RadarKit still reports rank and position, and the demo shows daily snapshots with no measure of variance. [3] [6] [9]
Studies show that AI answer lists change from run to run and that each platform cites different sources.
Read the full assessment
Before shifting content budgets, teams should measure how often they appear across many prompts and repeated runs, and test channel tactics on each platform.
RadarKit as an AI visibility tracker: a creator's single-prompt case study
Executive brief
The key finding in this story isn't about the tool itself. It's that one creator's six-platform "rank" for a single prompt is the kind of number independent research says you can't trust. A SparkToro/Gumshoe study found that AI assistants returned the same brand list less than 1% of the time across repeated runs (Search Engine Journal). In the Reddit post and video, creator Julian Goldie demos RadarKit on a very specific, low-volume prompt. He reports being cited on four of six AI platforms and argues that forums, listicles and social posts, rather than websites, drive the citations (video). He is a new user, and he sells AI SEO services.
What changed and event timeline
GEO formalized
Princeton-affiliated researchers introduced "Generative Engine Optimization." They reported that content changes could raise visibility in generative engine answers by up to 40%, with results varying by domain ().
RadarKit launches its LLM visibility tracker
A press release says the tool prompts ChatGPT, Gemini, Perplexity and Copilot through a real browser and an AI agent instead of APIs ().
SparkToro shows AI recommendation lists rarely repeat
About 2,961 runs on ChatGPT, Claude and Google AI produced identical brand lists in under 1% of cases and identical order in under 0.1% ().
Academic case for treating visibility as a distribution
"Don't Measure Once" argues that single observations of AI search visibility are unreliable and that visibility should be measured as a distribution across repeated runs ().
Creator demos RadarKit
The Reddit post and video show one prompt, "best AI community for agency owners," with a per-platform breakdown and a content-type split of the citations (;).
Capabilities and access
- No version number is published.
- Platforms shown in the video: Perplexity, ChatGPT, Copilot, Gemini, Google AI Mode and Google AI Overview (video).
- Metrics per prompt: visibility score, visibility rank, average position, sentiment, whether the model ran a web search, and the content-type mix of citations.
Read the full section
- Product: RadarKit's LLM Visibility Tracker. No version number is published.
- Platforms shown in the video: Perplexity, ChatGPT, Copilot, Gemini, Google AI Mode and Google AI Overview (video). The press release lists four of these (release).
- Metrics per prompt: visibility score, visibility rank, average position, sentiment, whether the model ran a web search, and the content-type mix of citations.
- Other features: page-level citation tracking, a local radar for local businesses, and agents for outreach, content, Reddit and chat (video).
- Update speed: new prompts take about 24 hours to show data (video).
- Pricing: not disclosed in the reviewed sources.
Technical analysis for researchers and developers
- Collection method: RadarKit queries consumer interfaces through a browser rather than model APIs (release).
- What the evidence requires: research supports measuring how often a brand appears across many runs rather than a single position (arXiv; SEJ).
- Small sample: Reddit's five citations equal a 5% share, which implies roughly 100 citations in total (video).
Read the full section
- Collection method: RadarKit queries consumer interfaces through a browser rather than model APIs (release). This can capture retrieval behavior that only appears in the UI. However, the sources don't document session state, location, number of samples per day or how scores are aggregated.
- What the evidence requires: research supports measuring how often a brand appears across many runs rather than a single position (arXiv; SEJ). The video shows daily snapshots of one prompt, with no confidence intervals.
- Small sample: Reddit's five citations equal a 5% share, which implies roughly 100 citations in total (video).
Claims and evidence
- Claim: checking ChatGPT yourself gives a personalized, biased answer (video). The creator's own case is anecdotal.
- Claim: cited on four of six platforms, with sentiment rated positive (video). The narration corrects itself on Gemini partway through (video).
- Claim: forums rank first among cited content types, collection pages third and social media fourth at 6.9% (video). No independent corroboration was found.
Read the full section
- Claim: checking ChatGPT yourself gives a personalized, biased answer (video). This is plausible: ChatGPT can use stored memories to rewrite search queries (Search Engine Land). The creator's own case is anecdotal.
- Claim: cited on four of six platforms, with sentiment rated positive (video). The narration corrects itself on Gemini partway through (video).
- Claim: forums rank first among cited content types, collection pages third and social media fourth at 6.9% (video). This covers a single prompt. No independent corroboration was found.
- Claim: Ahrefs and Semrush "don't give the data I need" (video). This is the creator's opinion, with no comparison shown.
Context and prior work
- GEO research treats being cited by a generative engine as something content creators can optimize for (arXiv).
- A secondary industry analysis of about 118,000 AI responses reports that only 11% of cited domains appear across multiple platforms (Whitehat SEO).
- In the SparkToro study, average visibility for top-three brands ranged from 64% to 73% across the tools tested (Communicate).
Read the full section
- GEO research treats being cited by a generative engine as something content creators can optimize for (arXiv).
- A secondary industry analysis of about 118,000 AI responses reports that only 11% of cited domains appear across multiple platforms (Whitehat SEO). That fits the per-platform differences shown in the video.
- In the SparkToro study, average visibility for top-three brands ranged from 64% to 73% across the tools tested (Communicate).
Limitations, safety and contested findings
- Ranks vs. frequency: Fishkin called AI "ranking position" tools "full of baloney" and urged buyers to look for publicly reviewable statistics (SEJ; Communicate).
- Self-referencing evidence: the winning sources include the creator's own subreddit and a listicle on his own site that puts his own communities in the top three (video; video).
- Commercial interest: the video promotes paid audits and a paid community (video). The creator also says he is still learning the tool (video).
Read the full section
- Ranks vs. frequency: Fishkin called AI "ranking position" tools "full of baloney" and urged buyers to look for publicly reviewable statistics (SEJ; Communicate). RadarKit still reports rank and position.
- Self-referencing evidence: the winning sources include the creator's own subreddit and a listicle on his own site that puts his own communities in the top three (video; video).
- Commercial interest: the video promotes paid audits and a paid community (video). The creator also says he is still learning the tool (video).
Business and practitioner implications
- Measure frequency, not rank. Track how often you appear across many prompts and repeated runs before reallocating content budgets (arXiv).
- Platforms draw on different sources, so a channel strategy (Reddit, listicles) should be tested on each one (Whitehat SEO).
- Before buying a tracker, ask how many samples it takes, how it controls session and location, and how it calculates variance.
Read the full section
- Measure frequency, not rank. Track how often you appear across many prompts and repeated runs before reallocating content budgets (arXiv).
- Check citation mixes per platform. Platforms draw on different sources, so a channel strategy (Reddit, listicles) should be tested on each one (Whitehat SEO).
- Ask vendors about methodology. Before buying a tracker, ask how many samples it takes, how it controls session and location, and how it calculates variance.
- Expect guidelines to matter. Seeding forums and publishing self-ranked listicles may work in the short term, but it raises authenticity and platform-policy questions that the reviewed sources don't address.
The source trail.
Sources (9)
How an AI Visibility Tracker Showed Me What Content to Create
Feed excerpt only. A transcript of the video linked from this page is supplied (linked video auto captions; https://www.youtube.com/watch?v=KCtr2TBhSTE); automatic text may contain errors.
reddit.comLinked video: How an AI Visibility Tracker Showed Me What Content to Create
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