AI content infrastructure

Custom AI content agent — Claude-powered, in your voice, at agency scale

A useful content agent is not a ChatGPT prompt with a marketing budget. It is a JSON-output, schema-aware, validation-gated, voice-tuned production system that fits your CMS, your SEO architecture and your editorial standard. We build agents that have written 1,700+ shipped URLs across our own portfolio in three languages — and we ship one for you that does the same.

from $8,500 4–8 weeks
AI content agent: robotic arm writing on a holographic page above a dark desk
1,700+URLs generated and indexed across the portfolio
$0.04–$0.18Median per-page generation cost (Claude Sonnet + caching)
3Languages currently in production: English, Spanish, Portuguese
~2 daysTypical full-state batch generation time

What our agents do that generic LLM workflows do not

  • JSON output, not prose

    Every agent emits a strict JSON schema (title, meta_desc, h1, sections[], faq[], schema_block). The CMS imports it 1:1. No copy-paste, no markdown cleanup, no "regenerate the SEO title" loop.

  • Voice tuning

    Voice is captured from your existing best-performing pages: lexical fingerprint, sentence-length distribution, signature constructions, banned phrases. Encoded into a system prompt + few-shot exemplars.

  • Tier-aware logic

    Agents respect your tier strategy. A Tier 1 city gets a 1,200-word demographically-aware narrative; a Tier 2 city gets 600 words; a Tier 3 city gets a 200-word noindex stub. The agent does not over-write where Google does not want it.

  • Schema-aware output

    Each output declares its schema block (Article, LocalBusiness, FAQPage, Service) with valid @id graph. Schema is validated before the page is allowed to publish.

  • Validation pipeline

    Slug deduplication (LIKE %slug%), required-field checks, banned-phrase filters, hallucination flags (claims with numeric assertions are checked against approved sources), markdown stripping. A draft never reaches the live CMS without passing.

  • Cost discipline

    Sonnet 4.6 for production runs, Haiku 4.5 for short stubs and validation, with prompt caching. Median per-page cost on our portfolio: $0.04–$0.18.

Where a content agent fits in your stack

Three deployment shapes. We pick one based on volume and editorial workflow.

  • Embedded MVC agent

    For PHP/MVC sites we build, the agent runs in-process: a CLI command + cron entry that fills empty page slots, validates output, writes to the page model, and pings IndexNow. This is the model on Holiday Lights Decor.

  • Headless agent + your CMS

    For WordPress, Webflow, Shopify, Sanity, Contentful: agent runs on a separate worker, output is pushed via your CMS API. Editorial review fits between draft and publish.

  • Bulk one-shot

    For one-time builds (e.g., 500-city expansion), the agent runs to completion in a managed batch — typically 2–5 days for a full state — with QA samples reviewed before publish wave.

AI content pipeline: prompt to draft to schema to publish on a glowing assembly line
AI content pipeline: prompt to draft to schema to publish on a glowing assembly line

Build sequence

Four to eight weeks depending on output complexity, language coverage and CMS integration depth.

  1. Week 1

    Voice + content model. We capture your voice from top-performing pages, design the JSON output schema, and define the validation rules.

  2. Week 2

    Prompt engineering. Few-shot exemplars, slot-filled prompts, tier gates, banned-phrase library. Initial agent runs against test corpus.

  3. Week 3–4

    Pipeline. Output validation, slug dedup, schema validation, CMS integration, IndexNow + Indexing API ping. Cron or CLI orchestration.

  4. Week 5–6

    QA + tuning. Random-sample editorial review, voice corrections, factual-claim tuning, multi-language pass if applicable.

  5. Week 7–8

    Handover. Full-volume run, monitoring dashboard, prompt versioning in git, retainer optional.

FAQ

What clients ask about AI Content Agent (Custom)

Not when the voice tuning is done correctly. Our exemplar-driven prompts encode lexical fingerprint and sentence rhythm of your best human writing. Editorial review on the first 50 outputs typically catches 90% of remaining tells; iteration removes them.

Google's policy is "helpful content, regardless of how it's produced." Penalty risk comes from generic, low-substance generation — exactly what our validation pipeline catches. Our portfolio of agent-generated pages averages 95% Site Health on Semrush.

Yes. We have production agents writing in English, Spanish (AminoCore /pt/articles/ pipeline) and Portuguese with hreflang and translation_of relationships maintained.

You do. All prompts, validation code and CMS integration ship to your repo. We retain no exclusivity. The Claude API account is yours.

Numeric and named-entity claims are constrained to approved-source lookups (Census, GBP, your CRM, your CMS). When a claim cannot be verified, the agent writes around it rather than inventing. The validation step flags any unsupported assertion before publish.

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