UK Cybersecurity Engineer & Developer
Aidan Munns (hub22.uk) earns a Brand Analyzer score of 55 out of 100, placing it in the Early Stage tier among Technology brands, Other brands. Among 9683 Technology brands analyzed, Aidan Munns ranks in the 8th percentile (category average 69, leader 97). The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark. Dimension scores: Name Quality 86/100, Digital Presence 71/100, Visual Identity 85/100, Messaging Clarity 100/100, Trust Foundation 24/100, AI Discoverability 60/100, Brand Authority 7/100.
Aidan Munns (hub22.uk) is a UK-based cybersecurity engineer employed at CrowdStrike, where he specializes in API integrations and SIEM implementations. A self-taught developer, he also creates and maintains open-source tools that have accumulated over 300 GitHub stars and more than 40,000 Docker pulls. His work spans enterprise security solutions, penetration testing, and open-source development, serving enterprise clients requiring cybersecurity expertise.
| Brand Name | Aidan Munns |
|---|---|
| Domain | hub22.uk |
| Industry | Technology, Other |
| Main Competitors | Accenture (97/100), Apple (76/100), Atom (97/100), Docker (97/100), HP (97/100) |
Moz Domain Authority 3/100 vs category average 29 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "UK-based cybersecurity engineer at CrowdStrike (API integrations & SIEM). Self-taught developer; open-source tools with 300+ GitHub stars and 40K+ Docker pulls." (Meta description: 21 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot, ClaudeBot, Google-Extended - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on GitHub, Instagram; no detected presence on LinkedIn, X (Twitter), Facebook, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Aidan Munns scores 12/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Aidan Munns has a weak AI-visibility profile at 12/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (32/100) and its weakest is visibility (0/100). It benefits from open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and a low Moz Domain Authority of 3/100.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Aidan Munns and Accenture are competitors in Technology. Brand Analyzer scores Aidan Munns at 55/100 and Accenture at 97/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Aidan Munns official site
Aidan Munns's closest peers in the Technology category include Accenture (97/100), Apple (97/100), Atom (97/100), Docker (97/100), HP (97/100). These brands compete on similar audiences and were analyzed alongside Aidan Munns by Brand Analyzer.
Sources: Aidan Munns official site
Aidan Munns offers cybersecurity engineering services including API integrations, SIEM implementations, and penetration testing, delivered through his work at CrowdStrike. He also produces open-source tools available via GitHub and Docker, which have collectively received over 300 GitHub stars and more than 40,000 Docker pulls.
Sources: Aidan Munns official site
Aidan Munns has low AI-search visibility, scoring 12/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 14, recommendation 32). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Aidan Munns official site
Common alternatives to Aidan Munns include Accenture (97/100), Apple (97/100), Atom (97/100), Docker (97/100), HP (97/100). Each is a peer brand in the same category; compare their brand and AI-visibility scores on Brand Analyzer to choose the best fit.
Sources: Aidan Munns official site
Aidan Munns is a UK-based cybersecurity engineer and self-taught developer operating under the personal brand hub22.uk. He works at CrowdStrike, focusing on API integrations and SIEM implementations, while also developing and publishing open-source tools for the broader technical community.
Sources: Aidan Munns official site
Aidan Munns delivers enterprise cybersecurity solutions at CrowdStrike, including API integrations, SIEM implementations, and penetration testing. In addition to his professional role, he develops open-source tools that he publishes publicly, with his projects having earned over 300 GitHub stars and more than 40,000 Docker pulls.
Sources: Aidan Munns official site
Aidan Munns scores 32/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Aidan Munns official site
Aidan Munns can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Aidan Munns official site
Aidan Munns is known for his expertise in cybersecurity engineering, particularly API integrations and SIEM implementations at CrowdStrike, as well as for producing open-source tools that have gained notable traction, accumulating over 300 GitHub stars and more than 40,000 Docker pulls.
Sources: Aidan Munns official site
The primary audience for Aidan Munns's professional services consists of enterprise clients seeking cybersecurity solutions, particularly those requiring API integrations, SIEM implementations, and penetration testing. His open-source tools are used by the broader developer and cybersecurity community, as evidenced by the 300+ GitHub stars and 40,000+ Docker pulls.
Sources: Aidan Munns official site
Aidan Munns has gained recognition primarily through his open-source contributions, which have achieved over 300 GitHub stars and more than 40,000 Docker pulls. His professional background at CrowdStrike in API integrations and SIEM implementations also contributes to his standing in the cybersecurity and developer communities.
Sources: Aidan Munns official site
Ranked closest to Aidan Munns: Hoperun Information Technology (55/100), JMCO Technologies (55/100), Infinite Corp (55/100), Innostar Aerospace (55/100).
A step up - brands to learn from: Zindo (56/100), Zentis Intel (56/100).
Category leader: Accenture (97/100).