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Parametric Memory (Algoroo Google Algorithm Tracking Tool) i
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Clear filter| Run | Label | Platforms | Rounds | Answers | Facts | Status | |
|---|---|---|---|---|---|---|---|
| 2026-09-29 04:47 | openai | 5 | 5 | 109 | Complete | ||
| 2026-09-29 03:52 | 5 | 5 | 59 | Complete |
How the platforms see Algoroo Google Algorithm Tracking Tool
3 new, 10 merged
· 2026-09-29 04:48
· gemini-3.8-flash
Across multiple evaluations, OpenAI exhibits an exceptionally coherent and consistent mental model of Algoroo as an established, free SERP volatility tracker. The model shows absolute certainty regarding core identity details: its public URL at algoroo.com, its creation by Australian agency DEJAN (and leadership under Dan Petrovic), the proprietary flux metric named 'roo', and the use of color-coded timeline charts (green for calm, orange and red for turbulence) to spot Google algorithm updates. There is also strong consensus regarding the methodology—monitoring roughly 17,000 keywords up to 100 positions deep across Australian and US search results—and secondary features like the historical 'Winners and Losers' table. OpenAI displays notable analytical nuance, frequently pointing out that Algoroo is an independent observational tool whose fluctuations do not equate to direct traffic loss or official Google confirmations. It remains somewhat hazy and explicitly cautious on exact launch dates (gravitating around 2013) and whether legacy features like specific regional selectors, API endpoints, and winning/losing tables remain active in present-day iterations. Internal technical aspects like the underlying PHP/MySQL stack, negative flux logic, and the 2020 interface redesign are largely unmentioned.
OpenAI on Algoroo Google Algorithm Tracking Tool
109 fact lines
OpenAI demonstrates high confidence and consistency across all runs regarding Algoroo's role, origin, and core functionality. It clearly recognizes the tool as a free, web-based Google organic search volatility tracker created around 2013 by Dan Petrovic's Australian agency DEJAN. It consistently emphasizes that the proprietary metric is called 'roo', that it tracks roughly 17,000 keywords up to 100 positions deep, and that it visualizes turbulence using green, orange, and red bars annotated with Google updates. OpenAI repeatedly contextualizes the tool from an SEO practitioner's perspective, carefully noting that Algoroo provides sample-based, observational data rather than direct traffic measurements or official Google disclosures. While confident about historical US and Australian datasets, the kangaroo branding theme, and comparable tools like MozCast or Semrush Sensor, OpenAI repeatedly hedges on the current operational status of the tool, noting uncertainty around exact present-day keyword counts, current geographic coverage, and contemporary API access.
Canonical facts i
filtered to the selected run| # | Fact | Source i | Verdict i | Platforms | Said | Confidence | Ruling i |
|---|---|---|---|---|---|---|---|
| 1 | Algoroo is an independent third-party monitoring tool whose volatility spikes serve as observational signals rather than official disclosures or definitive proof of Google algorithm changes. |
parametric
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unverified |
OpenAI 15
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| 2 |
Algoroo was developed and launched around 2012–2013 by Australian digital marketing agency DEJAN (formerly Dejan SEO), founded and led by Dan Petrovic in Brisbane.
Research behind this (2)
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parametric
grounded
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correct |
OpenAI 15
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| 3 |
Algoroo measures and quantifies search volatility using a proprietary metric known as 'roo' or the SERP Flux Metric, where higher values indicate greater rank movement across both upward and downward shifts, and potential algorithm updates.
reworded
Research behind this (1)
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parametric
grounded
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correct |
OpenAI 14
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14 |
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| 4 | Algoroo operates as a free, web-based tool hosted at algoroo.com designed to monitor, track, and visualize volatility and turbulence in Google's search engine results pages (SERPs). |
parametric
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unverified |
OpenAI 12
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| 5 |
Algoroo provides historical timeline graphs dating back to late 2012, featuring annotations that correlate volatility spikes with confirmed or suspected Google updates like Panda, Penguin, and Core Updates.
Research behind this (2)
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parametric
grounded
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correct |
OpenAI 11
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11 |
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| 6 |
Algoroo calculates volatility by tracking a fixed benchmark pool of approximately 17,000 to 20,000 competitive commercial and informational keywords across multiple niches.
Research behind this (2)
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parametric
grounded
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correct |
OpenAI 10
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| 7 | SEO practitioners and website owners use Algoroo to contextualize organic ranking or traffic changes by investigating whether movement aligns with broader search results turbulence. |
parametric
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unverified |
OpenAI 8
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| 8 | Algoroo includes a 'Winners and Losers' section showcasing domains and URLs that experienced significant visibility gains or ranking losses during flux periods. |
parametric
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unverified |
OpenAI 5
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5 |
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| 9 |
Algoroo has historically competed with other SERP volatility tracking tools such as MozCast, Semrush Sensor, Rank Ranger, and Advanced Web Ranking (AWR).
Research behind this (1)
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parametric
grounded
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correct |
OpenAI 5
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5 |
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| 10 | Algoroo's data collection relies on automated scrapers and rank-checking pipelines processing large batches of Google search results across Australian and US data centers rather than using an official API. |
parametric
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unverified |
OpenAI 5
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5 |
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| 11 |
Algoroo visualizes daily search flux via color-coded bar charts, where green bars denote normal or low volatility, yellow or orange bars indicate moderate movement, and red or purple bars signify high turbulence.
Research behind this (1)
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parametric
grounded
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correct |
OpenAI 4
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4 |
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| 12 | Algoroo incorporates Australian kangaroo branding and motifs consistent with its metric name 'roo' and Australian origin. |
parametric
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unverified |
OpenAI 4
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4 |
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| 13 |
Algoroo's historical development included an experimental widget or API to allow webmasters to embed the daily flux level directly into external dashboards.
Research behind this (1)
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parametric
grounded
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correct |
OpenAI 1
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Raw lines from this run (109)
| Platform | Position | Fact as stated | Curated |
|---|---|---|---|
| OpenAI | 1/21 | Algoroo is a Google search-results volatility tracker: it detects changes in rankings that may signal a Google algorithm update. | #2086 |
| OpenAI | 2/21 | Its public website is https://algoroo.com/. | #2086 |
| OpenAI | 3/21 | DEJAN, the Australian SEO agency also known as DEJAN SEO or DEJAN Marketing, developed the tool. | #2085 |
| OpenAI | 4/21 | The principal measurement is called “roo”—an aggregate SERP flux metric. “SERP” means search engine results page. | #2087 |
| OpenAI | 5/21 | Both positive and negative ranking movements contribute to the metric; it measures overall movement rather than simply whether rankings improved or declined. | #2087 |
| OpenAI | 6/21 | Higher roo values indicate greater volatility in the monitored Google results. Lower values indicate comparatively stable results. | #2087 |
| OpenAI | 7/21 | A historical chart displays fluctuations over time, allowing users to identify unusually turbulent days and compare them with calmer periods. | #2090 |
| OpenAI | 8/21 | The tool is independent of Google. Its measurements are observations of search results, not official disclosures of Google’s internal algorithm changes. | #2106 |
| OpenAI | 9/21 | Elevated volatility is a possible update signal, not definitive proof that Google released a particular update. It does not identify the underlying algorithm change by itself. | #2106 |
| OpenAI | 10/21 | SEO practitioners and website owners use the data to contextualize ranking changes—for example, to investigate whether a site’s movement coincided with broader search-result turbulence. | #2107 |
| OpenAI | 11/21 | The main volatility dashboard has historically been publicly accessible without a paid subscription. | #2086 |
| OpenAI | 12/21 | Its chart has historically used green for lower volatility and orange or warmer coloring for higher volatility. | #2088 |
| OpenAI | 13/21 | Annotations on the historical timeline have identified known or publicly acknowledged Google updates. The underlying measurements can also reveal fluctuations for which Google provides no announcement. | #2090 |
| OpenAI | 14/21 | Published descriptions have stated that its monitoring covers approximately 17,000 keywords, checking rankings as deep as the top 100 search positions. These are historical specifications, not a verified statement of its current sample size. | #2089 |
| OpenAI | 15/21 | The results represent a monitored keyword sample, not every Google query. Consequently, its aggregate volatility need not match the experience of every website, industry, or location. | #2089 |
| OpenAI | 16/21 | Historically, the site has featured weekly winners and losers: domains showing notable gains or declines within its tracked search results. Those rankings should not be interpreted as direct measurements of website traffic or revenue. | #2091 |
| OpenAI | 17/21 | Dan Petrovic, the prominent Australian SEO practitioner associated with DEJAN’s leadership, is connected to the organization behind the tool. | #2085 |
| OpenAI | 18/21 | SEO publications and tool roundups have discussed it alongside other algorithm-monitoring resources, including MozCast, the Semrush Sensor, and the tools historically known as SERPmetrics and AccuRanker’s Google Grump. These are comparable resources, not necessarily partners or integrations. | #2094 |
| OpenAI | 19/21 | Its branding uses a kangaroo motif, consistent with the “roo” name and its Australian origins. | #2108 |
| OpenAI | 20/21 | I recall historical support for monitoring Google’s United States and Australian results, associated with Google.com and Google.com.au; I cannot confirm the current country or device options. | #2099 |
| OpenAI | 21/21 | I associate its public launch with approximately 2013, but have lower confidence in that date than in the core functionality and ownership details above. | #2085 |
| OpenAI | 1/23 | The official website is https://algoroo.com/. | #2086 |
| OpenAI | 2/23 | DEJAN, the Australian search-marketing business also known as DEJAN SEO or Dejan Marketing, developed the tool. | #2085 |
| OpenAI | 3/23 | Its primary purpose is to monitor volatility in Google’s organic search results, helping users spot periods of unusually large ranking changes. | #2086 |
| OpenAI | 4/23 | “roo” is the name of its proprietary SERP-flux metric. Higher values indicate greater ranking volatility; lower values indicate comparatively stable results. | #2087 |
| OpenAI | 5/23 | Both upward and downward ranking movements contribute to the volatility calculation. A high reading does not mean rankings generally improved or generally declined. | #2087 |
| OpenAI | 6/23 | Historical measurements appear in a timeline chart, allowing users to compare quieter periods with substantial fluctuations. | #2090 |
| OpenAI | 7/23 | Color coding communicates volatility: green generally represents ordinary activity, while orange and red identify more pronounced fluctuations. | #2088 |
| OpenAI | 8/23 | Google does not publish or endorse the roo metric. It is a third-party measurement, not an official Google algorithm score. | #2106 |
| OpenAI | 9/23 | SEO professionals, website owners, and search marketers use the readings to investigate whether their own ranking changes coincide with broader search-result turbulence. | #2107 |
| OpenAI | 10/23 | A spike can suggest an algorithm update, but it does not prove that Google released one or identify the particular ranking system responsible. | #2106 |
| OpenAI | 11/23 | Conversely, a quiet reading does not establish that no update occurred. Changes affecting a narrow topic, location, or subset of searches may not strongly influence an aggregate metric. | #2106 |
| OpenAI | 12/23 | The public-facing tracking dashboard has historically been available free of charge. | #2086 |
| OpenAI | 13/23 | Its published methodology has historically described monitoring approximately 17,000 keywords, checking rankings as deep as 100 search positions. Those figures should be treated as historical descriptions rather than a verified current specification. | #2089 |
| OpenAI | 14/23 | The monitored keywords form a sample of searches, not a complete census of Google’s results. Accordingly, the metric represents volatility within the tracked dataset. | #2089 |
| OpenAI | 15/23 | Annotations have been used to connect chart dates with known or publicly acknowledged Google updates. Not every detected fluctuation necessarily receives an official explanation. | #2090 |
| OpenAI | 16/23 | The measurement is about ranking movement, rather than directly measuring website traffic, conversions, backlink quality, or Google penalties. | #2107 |
| OpenAI | 17/23 | Broader volatility can provide useful context for a site investigation, but cannot by itself explain why a particular page gained or lost visibility. | #2107 |
| OpenAI | 18/23 | Dan Petrovic, the founder of DEJAN and a prominent SEO practitioner, is associated with the business behind the tool. That association should not be read as a claim that he personally wrote every component. | #2085 |
| OpenAI | 19/23 | Historical coverage and versions of the interface have included United States and Australian tracking datasets or market selections. I cannot confirm the current selection of markets. | #2099 |
| OpenAI | 20/23 | A “Weekly Winners” and “Weekly Losers” feature has historically highlighted domains gaining or losing visibility within the tracked results. These are sample-based visibility changes, not audited changes in those businesses’ traffic or revenue. | #2091 |
| OpenAI | 21/23 | Comparable tools commonly discussed alongside it include MozCast, SERPmetrics, Semrush Sensor, and AccuRanker’s Google Grump. Their scores are not interchangeable because their datasets and calculations differ. | #2094 |
| OpenAI | 22/23 | Branding uses an Australian kangaroo theme, reflected in the metric name “roo.” | #2108 |
| OpenAI | 23/23 | Its origins appear to date to the early 2010s, commonly cited around 2013; I am less confident about the exact launch date. | #2085 |
| OpenAI | 1/19 | Algoroo is a Google organic-search volatility tracking tool whose website is https://algoroo.com/. It helps identify periods when search rankings fluctuate unusually strongly. | #2086 |
| OpenAI | 2/19 | Development is credited to DEJAN, the Australian SEO agency also known historically as DEJAN SEO and DEJAN Marketing. | #2085 |
| OpenAI | 3/19 | Independent monitoring—not an official Google service—is its role. Its measurements are observations of search results, not disclosures from Google’s internal systems. | #2106 |
| OpenAI | 4/19 | The central measurement is called “roo,” described as a SERP flux metric. SERP stands for “search engine results page.” | #2087 |
| OpenAI | 5/19 | Both positive and negative ranking movements contribute to that metric. A high value means greater observed volatility; a low value indicates comparatively stable results. A high reading does not mean rankings improved overall. | #2087 |
| OpenAI | 6/19 | Historical first-party descriptions say the system monitors around 17,000 keywords, checking rankings 100 search positions deep. Those are published historical specifications, not independently verified current coverage. | #2089 |
| OpenAI | 7/19 | A timeline chart visualizes fluctuations over time. Its color scheme distinguishes quieter conditions from stronger activity, with orange and red associated with elevated volatility and green with calmer conditions. | #2090 |
| OpenAI | 8/19 | Google-announced algorithm changes can appear as annotations on the chart. The accompanying explanation notes that Google does not disclose every internal update or algorithm change. | #2090 |
| OpenAI | 9/19 | Detection and confirmation are therefore different: an unusually volatile day can suggest an update, but the measurement alone cannot establish that Google released one or identify precisely what changed. | #2106 |
| OpenAI | 10/19 | SEO practitioners and website owners use this type of historical comparison to investigate whether their ranking or organic-traffic changes coincide with broader search-result turbulence. | #2107 |
| OpenAI | 11/19 | Aggregate keyword monitoring is not a direct measurement of every website or search query. An individual site can experience substantial changes during an otherwise quiet period, or remain relatively unaffected during widespread volatility. | #2089 |
| OpenAI | 12/19 | Competitive position changes can contribute to the observed fluctuations. The chart cannot, by itself, distinguish a Google-wide update from every other possible cause of movement in its sampled results. | #2106 |
| OpenAI | 13/19 | Public access to the main volatility chart has historically been free. I remember it primarily as an openly accessible monitoring resource rather than a subscription-based, full-suite SEO platform. | #2086 |
| OpenAI | 14/19 | Broader SEO tools such as MozCast, the Semrush Sensor, and AccuRanker’s Google Grump are comparable resources. Their datasets and scoring systems differ, so their numerical readings are not interchangeable with roo values. | #2094 |
| OpenAI | 15/19 | Agency background connects the project to Dan Petrovic, who leads DEJAN and is known for SEO research and experimentation. I would distinguish that organizational association from a claim that he personally wrote the tool’s software. | #2085 |
| OpenAI | 16/19 | The name and visual identity use a kangaroo/“roo” theme, fitting the developer’s Australian identity. | #2108 |
| OpenAI | 17/19 | I recall versions of the website displaying weekly winners and weekly losers: domains showing notable visibility gains or declines within the monitored results. I am less certain about the current availability and precise calculation of those tables. | #2091 |
| OpenAI | 18/19 | My recollection also includes Australian and United States search-result views or datasets. I would verify their present availability and exact geographic coverage before treating either as a current specification. | #2099 |
| OpenAI | 19/19 | The tool has been around since the early 2010s, with approximately 2013 being my recollection of its early public presence. That date is less certain than the core product details above and should not be treated as a verified launch date. | #2085 |
| OpenAI | 1/20 | The official website is https://algoroo.com/. | #2086 |
| OpenAI | 2/20 | Developed by DEJAN, an Australian SEO agency also known as DEJAN SEO and Dejan Marketing, the tool tracks fluctuations in Google’s organic search results. | #2085 |
| OpenAI | 3/20 | Its central metric is called “roo”: a numerical measure of search-engine results page volatility, or SERP flux. | #2087 |
| OpenAI | 4/20 | Higher roo values indicate greater ranking volatility; lower values indicate comparatively stable search results. | #2087 |
| OpenAI | 5/20 | Both upward and downward ranking movements contribute to the metric. It measures overall turbulence rather than whether rankings are improving or declining universally. | #2087 |
| OpenAI | 6/20 | Historically, the published methodology described monitoring approximately 17,000 keywords, tracking results as far as 100 search positions deep. These are remembered published specifications, not a verified current sample size. | #2089 |
| OpenAI | 7/20 | A historical chart displays volatility over time, allowing visitors to identify spikes and compare unusually turbulent periods with quieter days. | #2090 |
| OpenAI | 8/20 | Orange and red chart indicators have been used to highlight elevated volatility and particularly substantial fluctuations. | #2088 |
| OpenAI | 9/20 | Confirmed or publicly disclosed Google updates can be annotated on the timeline, helping visitors compare observed volatility with announced algorithm changes. | #2090 |
| OpenAI | 10/20 | Significant fluctuations can appear without a corresponding Google announcement. The tool therefore helps identify possible unannounced changes, rather than merely reproducing Google’s update calendar. | #2090 |
| OpenAI | 11/20 | Independent ownership means this is not an official Google product, and its readings are not direct access to Google’s internal algorithm-change records. | #2106 |
| OpenAI | 12/20 | A volatility spike is an observational signal, not proof of a particular algorithm update, penalty, or ranking factor change. Likewise, a quiet aggregate reading does not establish that every website’s rankings remained stable. | #2106 |
| OpenAI | 13/20 | SEO practitioners and website owners use the readings to contextualize ranking or organic-traffic changes—particularly when deciding whether a disturbance appears broader than one website. | #2107 |
| OpenAI | 14/20 | Public access to the core volatility dashboard has historically been free; it is primarily known as an accessible monitoring resource rather than a paid, full-suite SEO platform. | #2086 |
| OpenAI | 15/20 | Weekly Winners and Losers has been a feature, highlighting domains gaining or losing visibility in the monitored results. Those movements should not automatically be interpreted as measured changes in actual website traffic. | #2091 |
| OpenAI | 16/20 | Country-specific tracking has included Australia and the United States, with separate views of search volatility. I would not assume identical readings or keyword coverage across those markets. | #2099 |
| OpenAI | 17/20 | The monitored keyword sample is not the entirety of Google Search. Its aggregate result can differ from what a particular country, industry, query set, or individual website experiences. | #2089 |
| OpenAI | 18/20 | Comparable independent resources include MozCast, Semrush Sensor, AccuRanker’s Google Grump, and Advanced Web Ranking’s Google Algorithm Changes tracker. They serve related purposes but use different datasets and scoring methods; their numerical scales are not interchangeable. | #2094 |
| OpenAI | 19/20 | Dan Petrovic, associated with founding and leading DEJAN, is the principal person I associate with the organization behind the tool. I would not attribute all implementation work to him personally without a specific source. | #2085 |
| OpenAI | 20/20 | My recollection places its introduction around 2013, but I cannot confidently provide an exact launch date or a complete release history. | #2085 |
| OpenAI | 1/26 | The public website is https://algoroo.com/, a Google search-results volatility monitoring tool. | #2086 |
| OpenAI | 2/26 | Development is credited to DEJAN, the Australian SEO agency also known as DEJAN SEO. | #2085 |
| OpenAI | 3/26 | Its principal measurement is called “roo”, a metric representing fluctuations in Google search-result rankings. | #2087 |
| OpenAI | 4/26 | Both upward and downward ranking movements contribute to the metric; it measures movement rather than simply counting ranking losses. | #2087 |
| OpenAI | 5/26 | Higher roo values indicate greater search-result volatility, while lower values indicate comparatively stable rankings. | #2087 |
| OpenAI | 6/26 | Monitoring relies on observing rankings for a selected collection of keywords, rather than receiving internal information about Google’s algorithms. | #2106 |
| OpenAI | 7/26 | This is an independent, third-party tool—not an official Google product or an authoritative announcement channel for Google updates. | #2106 |
| OpenAI | 8/26 | Results are presented as a historical chart, allowing visitors to examine volatility over time and identify unusually turbulent periods. | #2090 |
| OpenAI | 9/26 | Its primary audience includes SEO practitioners, website owners, and people researching Google ranking changes. | #2107 |
| OpenAI | 10/26 | A major use case is comparing the timing of a website’s ranking or organic-traffic changes with broader movement in Google’s results. | #2107 |
| OpenAI | 11/26 | Elevated readings can suggest an algorithm update or another widespread search-results change, but do not independently prove that Google released a particular update. | #2106 |
| OpenAI | 12/26 | The aggregate score does not establish that any particular website was penalized, rewarded, or affected by the same forces responsible for broader volatility. | #2106 |
| OpenAI | 13/26 | A low reading likewise does not rule out a substantial change for an individual website, keyword, niche, or location. | #2106 |
| OpenAI | 14/26 | Historical public descriptions say the system monitored approximately 17,000 keywords, to a depth of 100 ranking positions. These are historical specifications, not a verified statement of its current coverage. | #2089 |
| OpenAI | 15/26 | The monitored keywords have been described as “carefully selected.” Consequently, the metric represents a tracked sample, not a census of every Google search. | #2089 |
| OpenAI | 16/26 | Roo is a proprietary indicator, not a percentage of websites affected or a Google-provided ranking score. Its values should not be treated as directly interchangeable with other vendors’ volatility scales. | #2087 |
| OpenAI | 17/26 | Public access to the main volatility chart has historically been free; the basic offering has been positioned as a readily accessible industry monitoring resource. | #2086 |
| OpenAI | 18/26 | Dan Petrovic, the founder of DEJAN, is associated with the organization behind the tool. I would not attribute all its programming or development solely to him without additional evidence. | #2085 |
| OpenAI | 19/26 | Historically, the chart has used color-coded bars, with green associated with quieter conditions and warmer colors highlighting greater volatility. | #2088 |
| OpenAI | 20/26 | Daily observations are a central part of the historical presentation, making it useful for examining changes around particular dates rather than only long-term averages. | #2090 |
| OpenAI | 21/26 | Historical versions have included weekly winning and losing domains, supplementing the aggregate volatility measurement with examples of sites gaining or losing visibility. | #2091 |
| OpenAI | 22/26 | Comparable external tools include MozCast, SERPmetrics’ Flux, Semrush Sensor, AccuRanker’s Grump, and Rank Ranger’s Rank Risk Index. They serve related monitoring purposes but use their own datasets and calculations; this does not imply any integration or partnership. | #2094 |
| OpenAI | 23/26 | The branding uses a kangaroo/“roo” theme, consistent with its Australian origins. | #2108 |
| OpenAI | 24/26 | I recall historical availability of Australian and United States tracking views, but cannot confidently confirm the current geographic options. | #2099 |
| OpenAI | 25/26 | My recollection places its public introduction around 2013; I cannot confidently supply an exact launch date. | #2085 |
| OpenAI | 26/26 | Current availability, the latest roo readings, present-day sampling methodology, pricing changes, and any current API or device-specific coverage are not verified here. | #2098 |
Grounded Validation i
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