The weekly monitoring rule
A weekly SEO/GEO monitoring workflow should answer one question: what should the team do next, based on evidence?
This is different from the data setup article. Data setup explains what to export from GSC, Bing Webmaster Tools, GA4, crawl tools, and AI visibility checks. Weekly monitoring turns those exports into a habit: review, diagnose, score, approve, implement, and follow up.
Hermes should not create a long report nobody reads. It should create a short action queue with owners, risk levels, evidence, and approval gates.
What the weekly loop looks like
Use a five-day rhythm:
| Day | Hermes job | Human job |
|---|---|---|
| Monday | Read fresh exports and create report | Check whether data is complete |
| Tuesday | Diagnose wins, risks, and top opportunities | Pick 1-3 actions |
| Wednesday | Prepare briefs, refresh plans, or QA notes | Approve or reject actions |
| Thursday | Support approved implementation | Make live changes manually |
| Friday | Log what changed and set follow-up checks | Confirm next review date |
Beginners can run this manually. Later, you can connect scheduled exports, cron, or notifications.
Step 1: create a weekly monitoring folder
/hermes-seo-agent
/weekly-monitoring
/2026-07-01
gsc.csv
bing.csv
ga4.csv
crawl.csv
ai-visibility.csv
weekly-report.md
action-queue.md
follow-up-log.md
/prompts
weekly-monitoring-prompt.md
/qa
weekly-monitoring-gate.md
Use one folder per week. This makes it easy to compare reports later.
Step 2: define the data freshness rule
A weekly report is only useful if Hermes knows the date ranges.
Create qa/weekly-monitoring-gate.md:
# Weekly monitoring data gate
- [ ] GSC export has a date range.
- [ ] Bing export has a date range or export date.
- [ ] GA4 export has a date range.
- [ ] Crawl export has a crawl date.
- [ ] AI visibility checks have platform and date checked.
- [ ] Missing files are marked missing.
- [ ] No metric is invented.
- [ ] The report separates evidence from interpretation.
Prompt:
Before creating the weekly report, review this week's folder against qa/weekly-monitoring-gate.md.
If the gate fails, return missing files, missing columns, and what the human should export.
Do not create recommendations from incomplete or unclear data unless the limitation is labeled.
This gate keeps the report from becoming confident nonsense.
Step 3: create the weekly monitoring prompt
Create prompts/weekly-monitoring-prompt.md:
You are the weekly SEO/GEO monitoring operator.
Read this week's folder:
/weekly-monitoring/[date]
Read the website context and approval rules.
Create a weekly report that includes:
1. Executive summary
2. Data sources reviewed
3. Top 5 positive changes
4. Top 5 risks
5. Top 10 action queue
6. GSC low-CTR opportunities
7. Bing crawl or indexing issues
8. GA4 organic quality issues
9. Crawl and technical issues
10. GEO visibility gaps
11. Follow-up from last week
12. Human decisions needed
For every action, include:
- URL or page
- Evidence
- Recommended action
- SEO impact
- GEO impact
- Conversion impact if available
- Risk level
- Owner
- Approval required
- Due date suggestion
Do not publish or edit live pages.
Do not invent missing data.
The report should put decisions before details.
Step 4: score actions consistently
Use one scoring model every week:
| Factor | Range | Meaning |
|---|---|---|
| Traffic opportunity | 1-5 | Demand, impressions, ranking proximity, or query growth |
| Conversion relevance | 1-5 | Connection to trial, demo, signup, lead, or sales intent |
| GEO potential | 1-5 | Chance to answer important AI search prompts |
| Technical urgency | 1-5 | Crawl, index, snippet, canonical, or error severity |
| Effort | 1-5 | Work needed, where 5 means hard |
| Risk | 1-5 | Chance of harming traffic, trust, compliance, or conversions |
Formula:
Priority score = Traffic + Conversion + GEO + Technical urgency - Effort - Risk
Prompt:
Score each recommended action with the weekly scoring model.
Return a sorted top 10 list.
If a score is based on judgment instead of data, label it "judgment".
The score is not perfect. It makes tradeoffs visible.
Step 5: use a report template
# Weekly SEO/GEO monitoring report
Date:
Website:
Prepared by: Hermes
Human reviewer:
Data ranges:
## Executive summary
- Main win:
- Main risk:
- Main technical issue:
- Main GEO gap:
- Recommended focus this week:
## Data sources reviewed
| Source | File | Date range | Status |
|---|---|---|---|
## Top 10 action queue
| Priority | URL | Evidence | Action | Owner | Risk | Approval | Due |
|---|---|---|---|---|---|---|---|
## Wins
| URL | Metric improved | Likely reason | Follow-up |
|---|---|---|---|
## Risks
| URL | Metric declined | Likely cause | Action |
|---|---|---|---|
## GEO visibility watch
| Prompt | Brand status | Cited URL | Gap | Action |
|---|---|---|---|---|
## Follow-up from last week
| Previous action | Status | Result | Next step |
|---|---|---|---|
## Human decisions needed
| Decision | Owner | Deadline |
|---|---|---|
Keep the report short enough to review in 15 minutes.
Step 6: create the follow-up log
Most teams forget to check whether last week's actions worked. Add a follow-up log.
# Follow-up log
| Date | URL | Action taken | Baseline metric | Review date | Result | Next step |
|---|---|---|---|---|---|---|
Hermes prompt:
Compare this week's data with the follow-up log.
For each previous action, report:
1. Whether the action was implemented
2. Whether the expected metric moved
3. Whether more time is needed
4. Whether the action should be expanded, reverted, or left alone
This turns monitoring into a learning loop.
Step 7: send a short notification
If Hermes supports messaging in your setup, keep notifications short.
Notification template:
Weekly SEO/GEO report is ready.
Main win: [one sentence]
Main risk: [one sentence]
Top action: [one sentence]
Approval needed: [yes/no, owner]
Report: [file path or URL]
Do not send the whole report into chat. Send the decision summary and link to the file.
Step 8: know what not to automate
Do not automate these in a beginner workflow:
| Action | Why |
|---|---|
| Publishing new pages | Needs editorial review |
| Updating live content | May introduce factual or brand errors |
| Changing title/meta at scale | Can hurt CTR or relevance |
| Submitting many URLs | Can create noise and repeated submissions |
| Changing robots/noindex/canonical | Technical risk is too high |
| Adding internal links in bulk | Needs relevance review |
Hermes can recommend. Humans approve.
Beginner example: one weekly action queue
| Priority | URL | Evidence | Action | Owner | Approval |
|---|---|---|---|---|---|
| 1 |
| 7,900 impressions, 1.3% CTR, position 6.1 | Refresh title and add template section | SEO editor | Yes |
| 2 |
| AI prompts mention competitors, brand absent | Add clearer use case and prompt examples | Product marketing | Yes |
| 3 |
| Clicks down 34% vs previous period | Create refresh plan | Content lead | Yes |
| 4 |
| New page, no internal links from hub yet | Add links from Hermes operator guide | SEO editor | Yes |
| 5 |
| Crawl export shows outdated schema warning | Technical QA review | Developer | Yes |
Five actions are enough. Weekly monitoring should reduce chaos, not create a new backlog nobody can finish.
Common mistakes
| Mistake | Why it hurts | Better approach |
|---|---|---|
| Reporting every metric | People stop reading | Lead with decisions |
| No owner | Tasks stall | Assign owner and due date |
| No approval column | Risk gets hidden | Add approval to every action |
| No follow-up | Nobody learns what worked | Maintain a follow-up log |
| Daily reports for small sites | Too much noise | Start weekly |
| No data gate | Bad exports create bad advice | Check files before diagnosis |
Auspia take
Weekly monitoring is where Hermes becomes an operator instead of a writer. The workflow is simple: read data, diagnose changes, rank actions, ask for approval, log outcomes.
The team should not judge the report by length. A good weekly report may be short. If it gives the team three evidence-backed actions and prevents one risky change, it did its job.
Start manually. Automate only after the weekly report is useful for four weeks in a row.
FAQ
How often should Hermes run SEO/GEO monitoring?
Weekly is enough for most teams. Daily monitoring creates noise unless you are managing a large site, migration, outage, or campaign.
What should be in the weekly report?
Include an executive summary, data sources, top 10 actions, wins, risks, GEO visibility watch, follow-up from last week, and human decisions needed.
Can Hermes run this with CSV exports?
Yes. CSV exports are the best beginner setup. Connect APIs later after the report format and approval workflow are stable.
Should Hermes automatically update pages from the report?
No. Hermes should prepare recommendations, briefs, refresh plans, or QA notes. Humans should approve live changes.
What is the difference between data supervision and weekly monitoring?
Data supervision is the system for collecting and interpreting GSC, Bing, GA4, crawl, and GEO data. Weekly monitoring is the operating cadence that turns that system into recurring decisions.
How do I know the weekly workflow is working?
It is working when the team can review the report quickly, pick a few actions, implement them safely, and check the result the next week.
Continue the Hermes SEO/GEO series
- Start here: Hermes SEO/GEO operator guide .
- Previous guide: How to build a Hermes SEO/GEO swarm workflow .
- Next guide: Hermes SEO/GEO quality gates .
- Closely related: How to connect Hermes to GSC, Bing Webmaster, and GA4 , Hermes SEO/GEO quality gates .
Sources used
- Hermes Agent documentation: https://hermes-agent.nousresearch.com/docs/
- Google Search Console Performance report documentation: https://support.google.com/webmasters/answer/7576553
- Bing Webmaster Tools help: https://www.bing.com/webmasters/help/
- GA4 engagement metrics documentation: https://support.google.com/analytics/answer/12195621
- [ ] GSC export has a date range.
- [ ] Bing export has a date range or export date.
- [ ] GA4 export has a date range.
- [ ] Crawl export has a crawl date.
- [ ] AI visibility checks have platform and date checked.
- [ ] Missing files are marked missing.
- [ ] No metric is invented.
- [ ] The report separates evidence from interpretation.
Author: Leo Harrington, SEO Analytics Translator for 500+ Executive Reports at Auspia. Leo writes about reporting, dashboards, and metrics that help teams make organic growth decisions.
