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Mark McNeece of 365i

Director at 365i

@bsolveit United Kingdom joined Jun 2015

365i.co.uk github.com/BSolveIT Slack: @Mark McNeece of 365i
    Teams Core AI Design Hosting

    Bio

    I have run 365i since 2001, building and hosting WordPress sites for UK businesses, with a focus on performance, stability, and keeping things simple for site owners.

    More recently I have been working on how AI systems discover and describe websites. I first published the term “AI Discovery Files” in December 2025 and wrote the specification that defines the ten file types, now maintained openly at ai-visibility.org.uk under CC BY 4.0. My AI Discovery Files plugin is the reference implementation.

    I like solving practical problems and building small tools that do one job properly.

    Interests

    I spend most of my time working with WordPress, hosting, and website performance, and I genuinely enjoy solving the small technical problems that make sites faster and easier to manage. I’m also interested in how AI tools are changing the way people find and understand websites.

    WordPress Origin Story

    I started with computing in 1992 and moved into web work as the industry formed, founding 365i in 2001. WordPress became the practical answer for clients who needed to manage their own sites, and I got progressively more interested in what was happening underneath: hosting, caching, why sites are slow, and what breaks at scale. Thirty years in, most of what I build still comes from a client problem that needed solving twice.

    Badges

    CODE
    1 badge
    Plugin Developer

    Current Job

    Director
    Present
    365i

    Recent impact

    Score weights high-impact work (commits, releases, approved translations, props) at 3x routine activity.

    Last 30 days
    6contributions
    high6
    medium0
    score18
    Last 90 days
    17contributions
    high17
    medium0
    score51
    Last 12 months
    95contributions
    high94
    medium1
    score283

    Team focus

    Across 3 teams, with no team-attributable contributions in the last 365 days

    Contributions

    Type
    August 2026
    Aug 14 Fri · 06:05
    Plugins high
    Committed [3646716] to Plugins SVN:
    Readme only, stable tag stays 2.1.2.
    Aug 14 Fri · 05:50
    Plugins high
    Committed [3646688] to Plugins SVN:
    Readme only, stable tag stays 2.1.2.
    Aug 13 Thu · 08:34
    Plugins high
    Committed [3644652] to Plugins SVN:
    Readme only, stable tag stays 2.1.2.
    Aug 13 Thu · 08:24
    Plugins high
    Committed [3644628] to Plugins SVN:
    Readme only, no code change, stable tag stays 2.1.2.
    Aug 13 Thu · 08:11
    Plugins high
    Committed [3644607] to Plugins SVN:
    Readme: tested up to <a class="wiki" href="http://plugins.trac.wordpress.org/wiki/WordPress">WordPress</a> 7.1; state AI Discovery Files specification conformance v1.11.0 and link the canonical spec. Readme only, no code change, stable tag stays 2.1.2.
    July 2026
    Jul 21 Tue · 16:16
    Plugins high
    Committed [3617434] to Plugins SVN:
    ai-discovery-files/tags/2.1.22.1.2: Serve AI Discovery Files from a pre-rendered cache before the …
    June 2026
    Jun 11 Thu · 09:59
    Plugins high
    Committed [3568620] to Plugins SVN:
    v2.1.1: Decode HTML entities in plain-text file output so quotes and ampersands reach AI systems as real characters
    Jun 11 Thu · 09:43
    Plugins high
    Committed [3568598] to Plugins SVN:
    v2.1.0: changelog wording tidy in readme.txt (no code changes)
    Jun 11 Thu · 09:41
    Plugins high
    Committed [3568589] to Plugins SVN:
    v2.1.0: Language declarations in all files, schema-valid ai.json/identity.json, spec Permissions/Restrictions sections in ai.txt, RFC 9309 robots-ai.txt, indexable responsive llms.html with checker link, Organisation Type and per-FAQ URL fields
    Jun 11 Thu · 08:15
    Plugins high
    Committed [3568480] to Plugins SVN:
    v2.0.2: robots-ai.txt crawler list updated to current tokens. Removes retired Claude-Web; adds Claude-User, Claude-SearchBot, OAI-SearchBot, Perplexity-User, Applebot-Extended. Applebot-Extended respects the training policy.