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What the data tells us
Three findings stand out from this live test
01
Five-engine consensus
Infosecurity Magazine was recommended by Google AI Mode, ChatGPT, Microsoft Copilot, Claude and Google Gemini: 5/5 cross-platform consensus.
02
First-place consistency
The publication held an average brand position of 1.0 with zero positional variation across the five engines in the captured answers.
03
Visibility is not the same as citation ownership
Infosecurity Magazine achieved 100% platform coverage but 60% citation-backed presence, showing why the Index measures both recommendation visibility and first-party citation evidence.
How the top five were ordered
Overall AI Visibility Rank is not based on a hidden score. It is ordered transparently by: (1) Cross-Platform Consensus, then (2) Average Brand Position, then (3) visible own-domain citations, and (4) Brand Mentions as tie-breakers.
#1
Infosecurity Magazine
5/5 consensus
Positions: 1, 1, 1, 1, 1
#2
SC Media UK
4/5 consensus
Positions: 2, 2, 3, 4
#3
Computer Weekly
4/5 consensus
Positions: 7, 3, 2, 8
#4
Computing Security
3/5 consensus
Positions: 5, 5, 2
#5
Professional Security Magazine
2/5 consensus
Positions: 2, 5
100% Live Evidence
Watch the full live AI retrieval test
The video records the live five-platform testing session used for this Index entry. The screenshots below preserve each captured result as supporting evidence.
Five-platform screenshot evidence
Each screenshot is linked to the full-size evidence file. The same prompt was used across all five AI platforms.
Google AI Mode
Infosecurity Magazine #1; SC Media UK #2; Security Matters #3; followed by CSO Online, Intersec, The Register and Computer Weekly.
ChatGPT
Infosecurity Magazine #1; SC Media UK #2; Computer Weekly #3; followed by IT Security Guru, Computing Security, SecurityBrief UK and Intelligent CISO.
Microsoft Copilot
Infosecurity Magazine #1; Professional Security Magazine #2; City Security Magazine #3 in the primary evidence-based ranking.
Claude
Infosecurity Magazine first, followed by Computer Weekly, SC Media UK, Security Journal UK and Computing Security.
Google Gemini
Infosecurity Magazine first in the pure-cybersecurity group, followed by Computing Security Magazine, SecurityBrief UK and SC Media UK; further hybrid and enterprise outlets were also listed.
Platform-by-platform result summary
These are the recommendation orders visible in the captured answers. Where a response groups publications rather than numbering them, top-to-bottom display order is used for the Average Brand Position metric.
| AI platform | Visible recommendation order | Evidence note |
|---|---|---|
| Google AI Mode | 1 Infosecurity Magazine; 2 SC Media UK; 3 Security Matters; 4 CSO Online; 5 Intersec; 6 The Register; 7 Computer Weekly. | Seven publication recommendations are visibly surfaced. |
| ChatGPT | 1 Infosecurity Magazine; 2 SC Media UK; 3 Computer Weekly; 4 IT Security Guru; 5 Computing Security; 6 SecurityBrief UK; 7 Intelligent CISO. | The response also explicitly identifies Infosecurity Magazine, SC Media and Computer Weekly as the three especially important brands to watch. |
| Microsoft Copilot | 1 Infosecurity Magazine; 2 Professional Security Magazine; 3 City Security Magazine. | Graham Cluley and NCSC News are shown separately as additional resources, so they are not treated as primary trade-publication recommendations in the leaderboard. |
| Claude | 1 Infosecurity Magazine; 2 Computer Weekly; 3 SC Media UK; 4 Security Journal UK; 5 Computing Security. | NCSC is presented separately as a government-run resource, not a commercial trade publication. |
| Google Gemini | 1 Infosecurity Magazine; 2 Computing Security Magazine; 3 SecurityBrief UK; 4 SC Media UK; 5 Professional Security Magazine; 6 Security Journal UK; 7 City Security Magazine; 8 Computer Weekly; 9 The Register; 10 TechRadar Pro / ITPro. | Gemini groups the answer into pure cybersecurity, hybrid security and enterprise IT outlets; display order is used for position analysis. |
Other publication brands surfaced in the test
Beyond the top five, the five captured answers also surfaced SecurityBrief UK, Security Journal UK, City Security Magazine, The Register, Security Matters, CSO Online, Intersec / The Journal of International Security, IT Security Guru, Intelligent CISO and TechRadar Pro / ITPro. Their appearances remain part of the denominator used for Brand Mentions and Share of Voice where they meet the publication-eligibility rule.
Excluded from the publication leaderboard: NCSC News is a government resource, and Graham Cluley is presented by Copilot as an additional independent commentary outlet rather than one of its primary trade-publication recommendations.
Methodology and counting rules
This child study is permanent record NADX-UKBAIVI-001 and was conducted under NeuralAdX UK Business AI Visibility Index Research Protocol v1.0, effective from 19 August 2026. Protocol v1.0 records one dated retrieval run per platform for this study: the same exact prompt, five fixed AI platforms, five primary screenshots, the live screen-recorded session, an evidence ledger and the 14 locked metric definitions.
For the complete research framework — including the Index objective, Protocol v1.0, all 14 metric definitions, ranking method, evidence rules, limitations and study archive — visit the NeuralAdX UK Business AI Visibility Index methodology and study archive.
This is a dated live-retrieval snapshot, not a permanent claim about the market. AI answers can change because of model updates, retrieval changes, source indexing, freshness and run-to-run variation. The purpose of the Index is to document what the five tested systems returned for the same prompt on the stated test date. No fixed retest schedule is promised under Protocol v1.0.
Same prompt
The exact prompt was used across all five platforms: “Who are the best cyber security trade publications in the UK?”
Same dated test
The evidence is recorded as a 19 August 2026 retrieval snapshot and should be interpreted in that time context.
Brand mention rule
Count textual occurrences in the generated answer body. Exclude source chips, citation labels and formal reference lists to prevent source-heavy interfaces inflating mention counts.
Position rule
Use explicit rank where supplied. Where an AI answer is unnumbered, use the visible top-to-bottom recommendation order. Incidental mentions that are not presented as recommendations do not receive a ranking position.
Citation rule
Count only own-domain citations that are visibly attributable in the screenshots. Do not infer hidden sources behind +1/+2 controls or collapsed reference panels.
Citation page rule
Count exact distinct own-domain pages only where the evidence exposes enough URL detail. Use “At least 1 page” when one page can be confirmed but additional citation targets cannot safely be counted as separate pages.
Source diversity rule
Count distinct visible third-party source domains supporting the publication’s placement, excluding the publication’s own domain and unidentified hidden sources.
Overall rank rule
Order by recommendation consensus, then average position, then visible own-domain citations, then brand mentions. If all four ranking criteria are identical, the publications remain tied. This avoids an opaque black-box scoring formula.
Why Citation Coverage and Citation-Backed Presence match in this snapshot: every visible own-domain citation in these five screenshots occurs on a platform where the same publication is also surfaced. They are separate locked metrics because future tests can contain a cited domain without an explicit brand recommendation.
Research status
This child page is a proprietary observational research record produced independently by NeuralAdX Ltd. It is not official UK statistics, a university study or a peer-reviewed journal publication. No affiliation with or endorsement by the tested AI platform providers is implied.
The 14 NeuralAdX UK Business AI Visibility Index metrics explained
These 14 definitions are the measurement contract for Research Protocol v1.0. Their names, formulas and denominator rules are fixed so results can be compared consistently from one UK business sector study to another.
1
Overall AI Visibility Rank
The publication’s overall competitive position in this combined five-platform study. Protocol v1.0 orders brands first by Cross-Platform Consensus, then Average Brand Position, then visible own-domain Domain Citations, then Brand Mentions as the final tie-breaker. The Index does not use a hidden composite score.
2
Brand Mentions
Total eligible textual occurrences of the publication brand across the five generated answer bodies. Citation chips, source cards, reference lists and interface labels are excluded.
3
Share of Voice
Brand Mentions divided by total eligible Brand Mentions across all tracked publications in the complete five-platform study, multiplied by 100. This study recorded 63 eligible brand mentions in total.
4
AI Platform Coverage
The number and percentage of the five platforms on which the publication has a substantive presence at least once. The platform universe is always five.
5
Average Brand Position
Mean recommendation position across platforms that actually present the publication as an answer or recommendation. Incidental mentions are not assigned a ranking position. Where an engine is unnumbered, visible top-to-bottom recommendation order is used. Lower is better.
6
Position Consistency
Measures how much a publication’s recommendation position changes across the tested AI platforms. Very High means little or no movement, High means small variation, Moderate means noticeable variation, and Low means substantial variation. Lower variation means greater consistency. For reproducibility, Protocol v1.0 calculates the label using population standard deviation: Very High = 0.00–0.49, High = 0.50–0.99, Moderate = 1.00–1.99, and Low = 2.00 or higher.
7
Domain Citations
Total visibly attributable citations or source links to the publication’s own domain across the five captured responses. Hidden or unidentified sources are not guessed.
8
Citation Share
The publication’s visible own-domain citations divided by total visible eligible own-domain citations across all tracked publications in the complete study, multiplied by 100. The five screenshots contain 21 visibly attributable eligible own-domain citation instances.
9
Citation Coverage
Number and percentage of the five platforms that visibly cite the publication’s own domain at least once.
10
Average Citation Position
Mean visible order of the publication’s own-domain citation where ordering can actually be identified. Unordered, collapsed or hidden source sets are not assigned artificial positions. Lower is better.
11
Cited Pages
Number of distinct own-domain pages that can be confirmed from the evidence. If a citation is proven but the visible URL detail cannot establish additional unique pages, the study reports “At least 1 page” rather than an unsupported exact number.
12
Citation-Backed Presence
Number of the five platforms that both surface the publication and visibly cite its own domain, divided by five × 100. The denominator is always five: 1/5 = 20%, 2/5 = 40%, 3/5 = 60%, 4/5 = 80%, 5/5 = 100%.
13
Source Diversity
Number of distinct visible third-party domains supporting or contributing evidence around the publication’s placement, excluding the publication’s own domain and unidentified hidden sources.
14
Cross-Platform Consensus
Number of the five AI platforms that actually present the publication as an answer or recommendation: 5/5 = Very High, 4/5 = High, 3/5 = Moderate, 2/5 = Low, 1/5 = Very Low, 0/5 = No Consensus.
Permanent study record
Study identification and citation
This page is Study ID NADX-UKBAIVI-001 within the NeuralAdX UK Business AI Visibility Index and is governed by Research Protocol v1.0. The study identifier and dated evidence remain attached to this retrieval record even if the same sector is tested again later.
Suggested study citation
NeuralAdX Ltd. Best Cyber Security Trade Publications in the UK: Live AI Visibility Index. NeuralAdX UK Business AI Visibility Index, Study ID NADX-UKBAIVI-001, Research Protocol v1.0, 19 August 2026.
For the permanent framework, metric definitions and protocol governance, see the NeuralAdX UK Business AI Visibility Index methodology page.
Frequently asked questions
Which cyber security trade publication ranked #1 in this test?
Infosecurity Magazine ranked #1. It was recommended by all five tested AI platforms and appeared first in the visible recommendation order on Google AI Mode, ChatGPT, Microsoft Copilot, Claude and Google Gemini.
Does this mean Infosecurity Magazine will always rank first in AI answers?
No. This is a dated retrieval snapshot from 19 August 2026. Generative AI responses can vary over time and between runs, so the result should be read as documented evidence from this specific test.
Why are hidden ChatGPT or Copilot sources not counted as citations?
Because the Index is evidence-led. If a screenshot only shows a +1 or collapsed source control without exposing the underlying domain or URL, NeuralAdX Ltd does not guess which company received that citation.
Why can Cited Pages show “At least 1 page” instead of a larger exact number?
A screenshot can visibly prove that a publication domain was cited without exposing the destination URL well enough to determine whether two citation instances point to the same page. The wording “At least 1 page” preserves the evidence without overstating precision.
What is the difference between AI Platform Coverage and Cross-Platform Consensus?
Platform Coverage records whether the brand has a substantive presence in the generated answer on a platform. Cross-Platform Consensus is stricter: it records whether the platform actually presents the brand as an answer or recommendation to the prompt. A publication can therefore have substantive platform presence without receiving recommendation consensus.
Which UK cyber security trade publications were recommended by the most AI platforms?
Infosecurity Magazine had the strongest cross-platform recommendation coverage at 5/5. SC Media UK and Computer Weekly each achieved 4/5 recommendation consensus, Computing Security achieved 3/5, and Professional Security Magazine achieved 2/5 in this 19 August 2026 test.
How is the Overall AI Visibility Rank calculated in this Index?
Research Protocol v1.0 uses a transparent ordering sequence rather than an undisclosed score. Publications are ordered first by Cross-Platform Consensus, then by Average Brand Position, then by visible own-domain Domain Citations, and finally by Brand Mentions where another tie-break is required.
NeuralAdX Ltd UK Business AI Visibility Index · Study ID NADX-UKBAIVI-001 · Research Protocol v1.0 · Live retrieval snapshot dated 19 August 2026 · Results may change as AI systems, retrieval layers and source indexes evolve · No affiliation with or endorsement by the tested AI platform providers is implied.