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Large Language ModelsAI Coding AssistantsZenn AI/MLPublished: Oct 5, 2026, 22:00 JST

AI Orchestra: Claude Code writes SEO column, 3 layers guard quality

AI Orchestra: Claude Code writes SEO column, 3 layers guard quality

3 Key Points

  1. What happened

    AI Orchestra says its column is written by Claude Code, not people, and since starting SEO work in July 2026 it has ranked for Codex keywords, using rules, first-hand material, and pre-publish checks.

  2. Why it matters

    The company argues quality breaks down not because of weak writing, but because AI copies the most recent article when standards are undocumented, as its titles grew longer in one period.

  3. What to watch

    Whether the arrangement holds depends on the pre-publish script, where symbols, glossary mismatches, and title length fail the build; a second blog adds three sub-agents for privacy, facts, and first-hand evidence.

WHO IT HITSThis lands hardest on content teams and marketing leads who have AI draft SEO articles and are relying on a human reviewer as the last line of defense — the body's own approach replaces that review with a build-blocking script and sub-agents.

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Context & Analysis

AI Orchestra's design starts from a concrete failure it hit on day one: its first column article, published on July 3, 2026, carried raw Markdown symbols like ** into the live page, making it obvious at a glance that AI had written it. The fix was structural — a verification script that runs at the start of the build. Under the site's setup, pushing to main deploys straight to production, so an article that fails the check simply cannot appear. In a similar way, when the company left its title-length standard out of the documentation, each session modeled its title on the previous article, and titles crept longer article by article; the company then wrote the length standard into the documentation and added a machine check. These two episodes are why the article treats rules not as philosophy but as a place to put the things a machine cannot stop.

The three layers are wired together by feeding findings backward. A new notation inconsistency becomes a line in the glossary and in the NG list the verification script checks. A drift caused by a missing rule becomes a written standard value and, if it is machine-checkable, a new verification item. When a review flags an unfounded personal anecdote, the company treats that as a sign the material inventory lacked a usable concrete detail, and returns the topic to the inventory rather than using it in the article. The company splits labor by whether the answer is unique: closed symbols, fixed spellings, and title length go to a script because they give the same result every time, while reading-dependent judgments go to sub-agents, and on the second blog, three sub-agents review publication safety, factual accuracy, and whether first-hand claims are backed by evidence.

What the arrangement hinges on is whether the backward feed actually happens — if a stopped article is merely fixed and published, the same defect will return in the next article, which is the failure mode the company designs against. Whether that discipline holds across sessions is what the reader could reasonably watch for.

FAQ
Who actually writes AI Orchestra's column articles?
The article says the writer is not a person but Claude Code. The company started focusing on SEO in July 2026.
Which checks block an article from going live?
A build-blocking script errors on stray formatting symbols, glossary violations, and titles over the length limit, plus missing thumbnail images. Any violation fails the build, and a failed build does not deploy to production.

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