GPTMap

GPTMap Article Maintenance Guide: Re-testing, Version Sync, and Sunset

Publishing is the start, not the end. GPTMap's editorial standard for maintaining a published article: six-month re-test triggers, world-state sync, link health checks, and sunset/merge decisions.

TL;DR
Publishing is the starting line. GPTMap's editorial standard for already-published articles: a six-month hard re-test cycle plus event-driven triggers, world-state sync, link health, and explicit sunset/merge decisions. This article gives you a copyable maintenance SOP — turning a one-shot post into a durable, citable asset.
Article maintenance is the lifecycle of re-validating accuracy, refreshing metadata, and fixing stale references on already-published content, triggered on schedule or by events. GPTMap uses a six-month mandatory re-test cycle.

How to

  1. Detect whether it's time

    Six-month hard cycle, OR one of three event triggers (OpenAI major release / model or API deprecation / 404 in officialReferences). Either way, schedule the maintenance.

  2. Re-read and produce a change list

    Read the full article, list every claim that should have changed (price, version, API field, link). That's your change list.

  3. Bump three frontmatter timestamps

    updatedAt / lastTestedAt / lastReviewedAt — all set to today's ISO 8601. If the OpenAI model version changed, also bump openaiVersion.

  4. Edit body + append the update log

    Apply the change list to the body. If changes are large, rewrite a paragraph. Append a '## Update log' entry (newest first): date, action summary, fields bumped.

  5. Run the SEO/GEO mandatory checklist

    pnpm lint + typecheck + build; run the .agents/skills/add-content step 8 grep script and confirm head meta + JSON-LD all emit.

  6. Link health check

    Crawl all outbound URLs (curl or linkchecker), fix 4xx/5xx and wrong-redirect targets.

Publishing is the starting line. Below is GPTMap's editorial standard for maintaining a published article — turning one-shot content into a durable, citable asset.

1. Two triggers for maintenance

Schedule trigger (six months)

Six months is the hard floor. Going longer creates two compounding risks:

  • Code examples break: OpenAI rotates endpoints, SDK method names, parameter shapes — old code blocks no longer run as written.
  • AI summary engines demote: stale softwareVersion / lastTestedAt tell ChatGPT/Perplexity the source is outdated; citation weight drops.

Event trigger (overrides schedule)

Three events, any one of which kicks off immediate re-test:

  1. OpenAI releases a new major family (e.g. GPT-5.6)
  2. A model or API field used in the article is deprecated / retired
  3. A link in officialReferences goes 404 or is significantly rewritten

Event triggers outrank schedule triggers.

2. Re-test execution

The following sequence takes ~1 hour per article.

2.1 Re-read and produce a change list

Read the full article. List every claim that should have changed: price, version, API field, official reference. Read with skepticism — code you wrote six months ago probably doesn't run anymore.

2.2 Bump three frontmatter timestamps

FieldValuePurpose
updatedAttoday's ISO 8601schema dateModified
lastTestedAttoday's ISO 8601EEAT signal
lastReviewedAttoday's ISO 8601schema lastReviewed

If the OpenAI model version changed, also update openaiVersion — it auto-flows into the Article schema's softwareVersion, which AI summary engines use for freshness scoring.

2.3 Edit body + append update log

Apply the change list to the body. For large changes, rewrite a paragraph. Append a ## Update log entry at the end of the article:

## Update log

- 2026-08-08: GPT-5.6 family refresh — code examples re-tested, openaiVersion bumped to gpt-5.6
- 2026-02-12: Migrated links to developers.openai.com
- 2026-01-05: Initial publish

Newest first — gives readers a direct version signal.

2.4 Run the SEO/GEO mandatory checklist

Per .agents/skills/add-content step 8: title / description / canonical / robots / hreflang / OG / Twitter / JSON-LD (softwareVersion / applicationCategory / FAQPage / Breadcrumb / Person / Organization / mainEntityOfPage / image / citation / inLanguage / speakable) — all must emit. H1 = 1.

pnpm lint && pnpm build must pass.

Crawl all outbound URLs:

# Example: check every URL in the post's frontmatter
grep -oE 'https?://[^"]+' apps/web/content/posts/<slug>.zh.md | sort -u | xargs -I {} curl -s -o /dev/null -w "%{http_code} {}\n" {}

Fix or replace 4xx / 5xx; fix wrong-redirect targets.

3. Sunset decisions

Don't delete articles — that creates 404s. Three options:

OptionWhenImplementation
MergeContent is superseded by a new article301 redirect old URL to the new one
DraftContent is temporarily unsound but URL must not breakfrontmatter status: "draft" — page stays, falls back to default-locale content
Keep + warnHistorical content is still a citable assetTop-of-article "this content is outdated, see [new article]" notice; remains indexable

generateStaticParams is false by default, so to truly delete a page you must explicitly remove its slug from the code's static-params list.

4. The metadata signals your maintenance emits

4.1 Schema.org lastReviewed

When frontmatter has lastReviewedAt, GPTMap's Article schema emits a lastReviewed field. Google Quality Rater Guidelines treat "most recent human review" as an important E-E-A-T signal.

4.2 softwareVersion auto-updates

The openaiVersion field drives both:

  • Manual annotation in frontmatter (you write it)
  • softwareVersion in Article JSON-LD (schema emits it automatically)

Change it once, both update. That's why the SEO/GEO mandatory checklist includes "rendered HTML softwareVersion must match frontmatter openaiVersion byte-for-byte" — the consistency check catches drift.

CadenceTriggerScope
6 monthsScheduleAll published articles
ImmediateOpenAI major / API deprecation / 404 linkAffected articles only
QuarterlyLink health + cross-reference auditAll
ImmediateMajor security event (e.g. MCP protocol RCE disclosure)Affected articles

6. Common errors and troubleshooting

  • Six months pass, frontmatter untouched → AI summary engines mark as stale; citation weight drops.
  • Body updated, timestamps forgotten → schema doesn't change; search engines think you didn't maintain it.
  • Link rot unnoticed → users click into 404s; SEO score drops.
  • Article deleted outright → inbound link equity evaporates; future references dead-end.
  • World-state changed, related articles not synced → same fact contradicts itself across the site.

7. What's Next

  • The GPTMap editorial checklist: 12 steps to a publishable OpenAI article — the writing-stage counterpart
  • OpenAI Models Release Notes (Living Document) — example of a maintenance target
  • Deep Research prompt patterns — standard method for citation verification

Update log

  • 2026-08-08: Initial publish

Key points

  • Six months is the hard floor; any of three event triggers (major OpenAI release, deprecation, dead link) overrides it
  • On re-test, bump frontmatter updatedAt / lastTestedAt / lastReviewedAt — and softwareVersion auto-updates in the Article JSON-LD
  • Run link health at least quarterly: crawl all outbound URLs, fix 4xx/5xx and wrong-redirect targets
  • Don't delete articles — merge, mark draft, or annotate. Direct delete breaks inbound links
  • Append a '## Update log' block at the end of the article so humans and AI summarizers see the same version signal

Frequently asked questions

OpenAI's ecosystem moves fast: model renames (GPT-4o → GPT-5.6), pricing changes, API field deprecations, documentation moves. After six months without a re-test, code examples may break, and AI summary engines will treat the article as a stale source. Six months is the sweet spot: shorter is wasteful, longer misses the window.

Official references

Related articles

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GPTMap EditorialPublished 2026-08-08 5 min read
Test environment (EEAT)
Last tested: 2026-08-08
Model used: gpt-5.6