Beginner · Level 1–3 · Tools: GSC, Analytics, LLM, Sheets/BI
- Pull metrics
- Detect anomalies
- Draft narrative
- Human edit
- Distribute
This workflow builds your regular SEO report for you. It pulls the numbers, spots anything unusual, drafts a short written summary, and waits for you to edit it before it goes out.
For a lot of SEO people, the first working day of every month disappears into reporting. Export from Search Console, export from analytics, paste into slides, then try to explain why clicks went down a few percent. Priya used to lose most of a day to it, and her CEO mostly read the first paragraph. Automating the gathering leaves her time to write that first paragraph properly.
At a glance
- What it does: Send regular SEO reports people trust, with a short explanation of what changed and why.
- Difficulty: Beginner. A good first project. A no-code tool and a few connected accounts are usually enough.
- Automation level: Level 1–3 on the levels of SEO automation. In plain words: anything from single tasks on a schedule (Level 1) up to AI helping with judgement calls (Level 3), depending on how far you take it.
- Steps: 5, from "Pull metrics" to "Distribute".
What you'll need
Tools
- GSC: short for Google Search Console, Google's free tool that shows which searches your pages appear for and how many clicks they get.
- Analytics: your website analytics, such as Google Analytics, which shows visits and conversions.
- LLM: a large language model, the kind of AI behind ChatGPT, Claude and Gemini.
- Sheets/BI: a spreadsheet, or a BI tool (business intelligence dashboards such as Looker Studio).
What goes in
- Search Console and analytics access
- The handful of numbers your team actually cares about
- Last period's report, for comparison
- A list of who gets the report
What comes out
- An updated dashboard or sheet
- A short list of unusual changes
- A drafted written summary
- The final report, sent
How it works, step by step
- Pull metrics. On a schedule, it pulls the numbers you care about from Search Console, analytics and anywhere else you track them.
- Detect anomalies. It flags anything unusual (an anomaly), like a page whose clicks halved or a sudden jump in impressions for a new topic.
- Draft narrative. An AI model writes a short summary: what went up, what went down, and the likely reasons, based only on the data it was given.
- Human edit. You rewrite the summary with the context only you know: a launch, a site change, a new priority.
- Distribute. The finished report goes out by email, Slack or a shared dashboard.
A worked example
Say it's the first of the month. By 8 a.m., the workflow has updated your Looker Studio dashboard and flagged three things: clicks are down 6% overall, your pricing page lost half its traffic, and a new guide is already in the top ten for its main keyword.
The AI summary points out that last year showed the same dip at this time of year. You add one line about the pricing page, because you know it was redesigned last week, and send the report. It takes about 20 minutes instead of a day.
Where AI helps, and where it doesn't
- Spotting which changes are unusual enough to mention.
- Turning tables of numbers into a short, readable summary.
- Comparing this period with the same period last year.
AI only knows what's in the data. It doesn't know about the site redesign, the paused ad campaign or the product launch, so its explanations can sound confident and still be wrong. It should draft; a person should explain.
What to keep human
- A person writes or rewrites the summary for leadership, since that's the part people actually read.
For more on deciding how much to hand over, see the SEO autonomy dial and what not to automate.
What can go wrong
- The report fills up with numbers that look good but don't lead to any decision (vanity metrics).
Start small
Automate one number first. Every Monday, have the workflow email you last week's Search Console clicks compared with the week before, plus your top five pages. No AI, no dashboard. Add the written summary once you know which numbers people actually ask about.