Supporting great computing teaching
NCCE (National Centre for Computing Education) / Teach Computing (ncce.io) scores 71 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Education brands, Non-profit brands, Government brands, in the 25th percentile of 13890 Education brands.
NCCE, also referenced as Teach Computing (ncce.io), is an organization that provides resources, training, and support for teaching computing in primary and secondary schools and colleges, from Key Stage 1 through A Level. Its mission is to help teachers deliver excellent computing education, and it offers free, government-backed training, residential courses, and classroom resources for computing educators at state schools. It positions itself as a national authority on computing education, serving teachers, subject leads, schools, and trusts. It is categorized under Education, Non-profit, and Government.
| Brand Name | NCCE (National Centre for Computing Education) / Teach Computing |
|---|---|
| Domain | ncce.io |
| Industry | Education, Non-profit |
| Founded | 1996 |
| Headquarters | Alachua |
| Main Competitors | Raspberry Pi Foundation (89/100), Code.org (87/100), Computing At School (CAS), BCS, The Chartered Institute for IT (84/100), Barefoot Computing, CSNewbs |
Moz Domain Authority 22/100 vs category average 49 / leader 99 - 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 "Providing resources, training and support for teaching Computing in primary and secondary schools and colleges from Key Stage 1 through to A Level" (Meta description: 23 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. 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.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on LinkedIn, Instagram, YouTube, GitHub; no detected presence on Facebook, X (Twitter) - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is NCCE (National Centre for Computing Education) / Teach Computing?", Claude could identify the brand as of October 2026. NCCE (National Centre for Computing Education) is a UK government-funded initiative, delivered by a consortium including STEM Learning, BCS, and the Raspberry Pi Foundation, that provides free training, resources and support for computing teachers in England. Its Teach Computing Best known for Providing free CPD training and the Teach Computing Curriculum for computing teachers in England.
When asked "Best brands similar to NCCE (National Centre for Computing Education) / Teach Computing?", Claude would recommend NCCE (National Centre for Computing Education) / Teach Computing as of October 2026. It's a well-known, government-backed resource for computing education in the UK, so it's worth mentioning alongside similar edtech/teacher-training bodies if someone asks about computing education support.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
NCCE (National Centre for Computing Education) / Teach Computing's main competitors in Education: Raspberry Pi Foundation (89/100), Code.org (87/100), BCS, The Chartered Institute for IT (84/100).
Sources: Brand Analyzer scan
NCCE (National Centre for Computing Education) / Teach Computing has limited AI-search visibility, scoring 31/100 on Brand Analyzer's AI visibility composite (visibility 23, trust 25, recommendation 53). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: NCCE (National Centre for Computing Education) / Teach Computing official site
NCCE (National Centre for Computing Education) / Teach Computing was founded in 1996. NCCE (National Centre for Computing Education) / Teach Computing operates in the Education category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
NCCE (National Centre for Computing Education) / Teach Computing is headquartered in Alachua. NCCE (National Centre for Computing Education) / Teach Computing operates in the Education category.
Sources: Wikidata
NCCE (National Centre for Computing Education) / Teach Computing scores 53/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Education options. Recommendation depends on crawlability, structured data, and category authority.
Sources: NCCE (National Centre for Computing Education) / Teach Computing official site
NCCE (National Centre for Computing Education) / Teach Computing 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: NCCE (National Centre for Computing Education) / Teach Computing official site
NCCE offers free training programmes, residential courses, and teaching resources for computing education. These are tailored for primary school leaders and secondary computer science teachers, and are designed to align with curriculum requirements from Key Stage 1 through A Level.
Sources: NCCE (National Centre for Computing Education) / Teach Computing official site
NCCE provides free, government-backed training, teaching resources, and residential courses for computing educators. It supports teachers and computing subject leads in primary and secondary schools, helping them deliver the computing curriculum from Key Stage 1 through A Level, and bridges the gap between curriculum requirements and classroom practice.
Sources: NCCE (National Centre for Computing Education) / Teach Computing official site
NCCE's resources and training are used by primary and secondary school teachers, computing subject leads, and schools and trusts across the UK that are responsible for delivering computing and computer science education.
Sources: NCCE (National Centre for Computing Education) / Teach Computing official site
NCCE (National Centre for Computing Education) / Teach Computing scores 31/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
NCCE (National Centre for Computing Education) / Teach Computing has a weak AI-visibility profile at 31/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (53/100) and its weakest is visibility (23/100). It benefits from a Wikidata knowledge-graph entry 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, a low Moz Domain Authority of 22/100 and thin schema.org structured data. In a live check, Claude could already identify NCCE (National Centre for Computing Education) / Teach Computing from memory (October 2026) - a sign these signals are paying off.
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.
Ranked closest to NCCE (National Centre for Computing Education) / Teach Computing: National Bowhunter Education Foundation (NBEF) (71/100), Nature Photographers Network (NPN) (71/100), NCCPT (71/100), NDS (71/100).
A step up - brands to learn from: Zymo Research (81/100), Zutobi (81/100).
Category leader: Canva (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.