Intermediate · Level 2–4 · Tools: Google Search Console, SERP API, CMS, LLM
- Search Console
- Identify declining pages
- Analyze queries
- Analyze current SERP
- Find gaps
- Update content
- Republish
- Measure
Content decay is when a page that used to bring in steady traffic slowly loses it, usually over months. This workflow watches your Search Console data, flags those pages early, and works out what changed so you know what to fix.
Decay is sneaky because nothing actually breaks. Say a guide brought in 900 clicks a month. It drifts to 600, then 400, and nobody notices until someone asks why sign-ups from the blog are down. By then a competitor has published something fresher and taken your spot. Checking every page by hand each month isn't realistic once you have more than a few dozen. This workflow does the checking and only taps you on the shoulder when a page is genuinely slipping.
At a glance
- What it does: Catch pages that are slowly losing traffic and build a refresh plan backed by evidence.
- Difficulty: Intermediate. Needs a few connected data sources and some care with prompts and review steps. Build a beginner workflow first if you can.
- Automation level: Level 2–4 on the levels of SEO automation. In plain words: anything from a fixed chain of steps (Level 2) up to an AI agent choosing some of its own next steps (Level 4), depending on how far you take it.
- Steps: 8, from "Search Console" to "Measure".
What you'll need
Tools
- Google Search Console: Google's free tool that shows which searches your pages appear for and how many clicks they get.
- SERP API: a service that fetches live search results for any keyword, so your workflow can see who ranks.
- CMS: the system you publish pages with, like WordPress or Webflow.
- LLM: a large language model, the kind of AI behind ChatGPT, Claude and Gemini.
What goes in
- Search Console access
- At least six months of click history
- Live search results for each page's main queries
- The current text of your pages
What comes out
- A ranked list of decaying pages
- The queries each page is losing
- A short gap summary per page
- Refresh tasks for your team
How it works, step by step
- Search Console. Every week or month, it pulls clicks, impressions (how often you appeared in results) and average position for each page from Google Search Console.
- Identify declining pages. It compares recent weeks with an earlier period and flags pages whose clicks fell by more than a threshold you choose, like 25%.
- Analyze queries. For each flagged page, it finds which search queries lost the most clicks, so you know what the drop is really about.
- Analyze current SERP. It checks today's search results (the SERP) for those queries to see who's ranking above you now.
- Find gaps. An AI model compares your page with the pages that overtook it and lists what they cover that you don't.
- Update content. A person, or AI with a person reviewing, updates the page to close those gaps.
- Republish. The updated page goes live, ideally with a visible updated date.
- Measure. The workflow keeps watching that page for the next few weeks to see whether clicks come back.
A worked example
Say your "project management templates" guide lost 35% of its clicks over three months. The workflow flags it and shows the loss is almost all on one query: "free project management templates".
The current results show that every page now ranking above you offers downloadable templates. Yours doesn't, and three of its screenshots show an old version of your app. The refresh task lists those gaps. A writer adds downloads and new screenshots, and the page is republished. The workflow then keeps an eye on it and reports back each week on whether the clicks are recovering.
Where AI helps, and where it doesn't
- Explaining in plain words why a page is probably slipping.
- Comparing your page with the ones that overtook it and listing what's missing.
- Drafting a short refresh brief for whoever does the update.
AI shouldn't decide on its own that a drop is real. Seasonal dips, a Google update or a tracking glitch can all look like decay. And it shouldn't rewrite a page from scratch without someone approving it.
What to keep human
- A person decides which flagged pages are worth fixing first, based on what matters to the business.
- Any big rewrite gets approved by an editor before it goes live.
For more on deciding how much to hand over, see the SEO autonomy dial and what not to automate.
What can go wrong
- Seasonal dips or tracking glitches get mistaken for real decay.
- Pages that are doing fine get updated anyway, just because they were flagged, and sometimes end up worse.
Start small
Build only the first two steps. Once a month, pull clicks per page from Search Console into a spreadsheet and highlight any page that dropped more than 25% compared with the same months last year. That one report is useful on its own, and you can add query analysis and gap-finding once you trust it.