Service pillar
AI integration for WordPress
Senior B2B, EU jurisdiction, scoped per project.
Pricing is individual. I reply within one working day.
- BYOK default you hold the model contract
- EU residency editorial and customer data
- Opt-in workflow editorial review, no autopublish
- Token caps per-feature cost observability
What I ship
AI features wired into existing WordPress workflows. Editorial assistance, support fan-out, semantic search over the post archive, translation review, content classification. Every artefact carries provenance metadata (model, prompt version, retrieval source, editor reviewer). Token usage feeds observability with hard monthly caps per integration.
Why WordPress AI integrations break
The default plugin pattern in 2026 still hides token costs in subscription pricing or silently consumes the customer's keys without surfacing per-feature spend. The default LLM pattern still trains on whatever you send it unless you opt out per request. The default editorial workflow assumes the AI's draft is the final draft. Each of those defaults is wrong for a WordPress estate that has to defend itself in an audit, an editorial integrity review, or a budget review.
Who this is for
- Publishers running WordPress with editorial teams that want assisted, not replaced
- WooCommerce stores wanting semantic product search and AI-supported customer support
- Content sites with multilingual archives that need translation review at scale
- B2B SaaS using WordPress as marketing surface that wants RAG-grounded sales enablement
Engagement model
Senior B2B contracts on EU jurisdiction. Four-week typical first engagement. Pricing is individual. Quarterly review retainer available.
It can be given tasks that take hours, days, or weeks to complete, and then goes off and does those tasks autonomously. Frequently asked questions
How is this different from your AI-ready commerce service?
AI-ready commerce (Universal Commerce Protocol) is about making your storefront legible to shopping agents. AI integration is about embedding AI into your existing content operations, support, and search. Different buyers, different deliverables. Both can ship in the same engagement if scope warrants.
Bring-your-own-key or managed key?
Bring-your-own-key by default. Plugin authors silently passing token costs to site owners is a real friction point in the WordPress AI plugin market, and the right pattern is to let the customer hold the contract with Anthropic or OpenAI directly. I implement, the customer pays the model provider. Managed key is available when procurement explicitly requires it.
EU data residency and the AI Act?
Both Anthropic and OpenAI offer EU-routed inference. I default to EU residency for editorial and customer data. The 2025 EU AI Act baseline requires transparency about AI-generated content; every AI-assisted artefact gets provenance metadata and a public disclosure pattern. NIS2 and DORA scope the supplier register on top of that.
Can the AI publish autonomously?
I will not implement that. AI-assisted content goes through human editorial review by default. Customer-facing replies are draft-only. The pattern is opt-in suggestion plus editorial decision, not autonomous publishing. The cost of a wrong autonomous decision is higher than the cost of the editorial review.
What does 'retrieval-augmented' mean for a WordPress site?
It means the AI answers from your own content, not from the model's training data. I embed the existing post archive (and optionally documentation, knowledge base, product data) into a vector store. The AI retrieves the relevant passages at request time and grounds its answer in them. Hallucinations drop, citations improve, and your editorial team stays the source of truth.
Explore other WordPress services and knowledge base
Strengthen your business with professional technical support in key areas of the WordPress ecosystem.
Claude, OpenAI, and RAG inside WordPress with BYOK and EU residency.
Schema, UCP, and readiness for shopping agents.
Visibility in Google and AI answer systems.
Custom WordPress engineering and architecture.
Headless WordPress, Sanity, Strapi, and Contentful with Astro or Next.js.
Core Web Vitals, caching, and faster delivery.
Related categories
Supporting articles
How the WordPress Abilities API enables AI agents to discover and use WordPress capabilities programmatically. Build intelligent workflows with MCP servers, ChatGPT plugins, and Claude tools.
WordPress Playground now supports MCP (Model Context Protocol), letting AI agents like Claude and Gemini install plugins, run PHP, and manage WordPress directly in the browser. What this means for developers and agencies.
Metorik founder Bryce Adams told WP Product Talk that the company's MCP integration drew 500 users within days of a quiet preview launch, faster than any feature he has shipped in ten years. He also said customers churning out of Metorik have an average MRR 40 percent lower than retained ones, suggesting AI is taking the commodity use cases, not the core ones. GravityKit just open-sourced Block MCP for block-level WordPress edits. The pattern is clear: in 2026, the plugin that ships an MCP server is the one that compounds. The plugin that bolts a chat box onto its admin is the one that gets cannibalised.
Cluster reading
Production patterns
- AI-driven WordPress development: productivity guide
- WordPress 7.0 AI integration guide
- WordPress AI workflows and the Abilities API
Risk and economics
- Who pays for AI tokens in WordPress plugins?
- LLM hallucinations: the Xarumei brand experiment
- Ethics of AI content on WordPress
AI search and visibility
- AI / LLM visibility playbook (GEO)
- LLMO optimisation bot guide
- SEO for AI search: LLM citations guide
Adjacent services
Make AI assist your editors, not replace them
Tell me the use case and the data residency requirements. I reply within one working day.
Contact me