In-depth insights for practicing developers
ACM Queue (acm.org) earns a Brand Analyzer score of 65 out of 100, placing it in the Developing tier among Media & Entertainment brands, Technology brands, Education brands. Among 2070 Media & Entertainment brands analyzed, ACM Queue ranks in the 39th 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 88/100, Digital Presence 71/100, Visual Identity 90/100, Messaging Clarity 95/100, Trust Foundation 49/100, AI Discoverability 25/100, Brand Authority 50/100.
ACM Queue is a bimonthly computer magazine published by the Association for Computing Machinery (ACM), launched in 2003. It delivers expert analysis and in-depth articles on software engineering and computing, aimed at practicing technologists. The publication emphasizes rigorously reviewed, practitioner-focused content written by leading experts, bridging academic research and real-world software engineering practice. It targets software engineers, computer scientists, developers, and technology professionals seeking technical insight beyond mainstream tech news.
| Brand Name | ACM Queue |
|---|---|
| Domain | acm.org |
| Industry | Media & Entertainment, Technology |
| Founded | 2003 |
| Parent Company / Owner | Association for Computing Machinery (ACM) |
| Main Competitors | IEEE Software (83/100), Communications of the ACM, InfoQ (77/100), IEEE Spectrum, O'Reilly Media (92/100), The Morning Paper |
Moz Domain Authority 92/100 vs category average 41 / leader 100 - a strong backlink profile, so AI systems frequently 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 "ACM Queue delivers expert analysis and in-depth articles on software engineering and computing to help practicing technologists stay informed." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on X (Twitter), Instagram; no detected presence on LinkedIn, Facebook, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
ACM Queue scores 32/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
ACM Queue has a weak AI-visibility profile at 32/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (50/100) and its weakest is visibility (15/100). It benefits from a Wikidata knowledge-graph entry, a Moz Domain Authority of 92/100 and 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, thin schema.org structured data and no llms.txt to steer AI to its best pages.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
ACM Queue's main competitors include IEEE Software (83/100), Communications of the ACM, InfoQ (77/100), IEEE Spectrum, O'Reilly Media (92/100). These companies compete in the Media & Entertainment space for similar customers, offering comparable products or services.
Sources: ACM Queue official site
ACM Queue and O'Reilly Media are competitors in Media & Entertainment. Brand Analyzer scores ACM Queue at 65/100 and O'Reilly Media at 92/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: ACM Queue official site
Popular alternatives to ACM Queue include IEEE Software (83/100), Communications of the ACM, InfoQ (77/100), IEEE Spectrum, O'Reilly Media (92/100). Each is an established option in the Media & Entertainment space; the best fit depends on your specific needs, budget, and required features.
Sources: ACM Queue official site
ACM Queue is a bimonthly computer magazine published by the Association for Computing Machinery (ACM), founded in 2003. It provides expert analysis and in-depth articles on software engineering and computing, intended to keep practicing technologists informed about developments in the field.
Sources: ACM Queue official site
ACM Queue has limited AI-search visibility, scoring 32/100 on Brand Analyzer's AI visibility composite (visibility 15, trust 44, recommendation 50). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: ACM Queue official site
ACM Queue was founded in 2003. ACM Queue operates in the Media & Entertainment category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
ACM Queue publishes in-depth, expert-written articles on software engineering and computing topics. It bridges academic research and real-world practice by delivering rigorously reviewed, practitioner-focused content aimed at helping technology professionals stay current with industry trends and technical developments.
Sources: ACM Queue official site
ACM Queue scores 50/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Media & Entertainment options. Recommendation depends on crawlability, structured data, and category authority.
Sources: ACM Queue official site
ACM Queue offers a bimonthly magazine featuring expert-written articles and in-depth analysis on software engineering and computing topics, published both in print and online through ACM's platform.
Sources: ACM Queue official site
ACM Queue is published by the Association for Computing Machinery, a long-established professional and scientific computing organization, and its content is described as rigorously reviewed and written by leading experts in the field, which supports its credibility as a technical publication.
Sources: ACM Queue official site
ACM Queue 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: ACM Queue official site
ACM Queue is known for publishing rigorously reviewed, practitioner-oriented technical articles written by leading experts in computing, distinguishing it from mainstream tech news outlets by offering deeper, research-informed analysis for software engineering professionals.
Sources: ACM Queue official site
ACM Queue is used by software engineers, computer scientists, developers, and other technology professionals who seek in-depth technical analysis and insight into industry trends beyond what is offered by general tech news sources.
Sources: ACM Queue official site
Ranked closest to ACM Queue: Aaroka Technologies (65/100), Zhulong (66/100), ABOT HAMEIRI (65/100), Ai Prompt Editing (65/100).
A step up - brands to learn from: Vgames (71/100), VerradoWay (71/100).
Category leader: Boston.com (97/100).