How to use Hermes for keyword clustering and a 90-day SEO/GEO content calendar

The useful output is not a keyword list

A keyword list is not a content strategy. It is raw material. The useful output is a plan that tells you which topics deserve pages, which pages should be updated first, which search intent each page serves, which GEO prompts the page should answer, and how those pages link to each other.

Hermes is useful here because keyword planning has many small decisions. It needs to clean duplicates, group similar queries, label intent, choose page types, avoid cannibalization, assign internal links, and turn everything into a calendar. A spreadsheet can store the plan, but Hermes can help you build it.

For beginners, the safest workflow is this:

Raw keywords -> Clean list -> Topic clusters -> Intent labels -> Page types -> GEO prompts -> Internal links -> 90-day calendar -> Human approval

Do not ask Hermes to publish pages from a keyword list. Ask it to create a content operating plan that a human can review.

What you need before clustering

You can start with a small dataset. Do not wait until you have perfect keyword data.

Put the files into your Hermes project:

/hermes-seo-agent
/context
brand.md
website.md
audience.md
/data
seed-keywords.csv
existing-pages.csv
gsc-performance-last-28-days.csv
/reports
/briefs
/calendar
/prompts

If you do not have SEO tool exports yet, create a simple seed-keywords.csv:

keyword,source,notes
seo dashboard,product,core product category
seo reporting template,sales call,customers ask for templates
google search console ga4,blog idea,common integration topic
ai search visibility checker,product,tool page topic
generative engine optimization,category,education topic

Step 1: clean the keyword list

Messy inputs create messy calendars. Start by asking Hermes to clean the list before clustering.

Create prompts/keyword-cleaning-prompt.md:

You are helping build an SEO/GEO content plan.

Read:
- /context/brand.md
- /context/website.md
- /data/seed-keywords.csv

Clean the keyword list.

Return:
1. Removed duplicates
2. Removed irrelevant keywords
3. Keywords that are too broad for this site
4. Keywords that may be high-risk or off-brand
5. Clean keyword list

For each removed keyword, explain why.
Do not create new article ideas yet.

A good cleaning output might say:

| Keyword | Decision | Reason |
|---|---|---|
| seo | Remove | Too broad for a beginner content plan. Use as category context only. |
| free analytics software | Keep with caution | Relevant, but may attract low-intent users. |
| enterprise data warehouse | Remove | Outside the product scope. |

This step prevents a common beginner problem: building content around every keyword that looks popular.

Step 2: create topic clusters

Now ask Hermes to group the cleaned list.

Cluster the cleaned keyword list into topic groups.

For each cluster, return:
1. Cluster name
2. Primary keyword
3. Supporting keywords
4. Search intent
5. Funnel stage
6. Existing page match, if any
7. New page needed: yes/no
8. Cannibalization risk
9. Business relevance score from 1-5

Do not recommend a new page if an existing page can be updated instead.

Use this cluster table:

| Cluster | Primary keyword | Supporting keywords | Intent | Funnel stage | Existing page | New page? | Cannibalization risk | Business relevance |
|---|---|---|---|---|---|---|---|---|

Intent labels should be simple:

If Hermes creates 40 clusters from 80 keywords, it is over-segmenting. Ask it to merge clusters that serve the same reader and intent.

Step 3: map clusters to page types

A cluster does not always need a blog post. Some clusters need a tool page, glossary page, comparison page, template page, product page, or refresh of an existing page.

Use this prompt:

Map each keyword cluster to a page type.

Allowed page types:
- Hub guide
- Supporting article
- Tool page
- Template page
- Comparison page
- Use case page
- Glossary page
- FAQ section
- Existing page refresh
- Do not create page

For each choice, explain:
1. Why this page type fits the intent
2. Whether it should be new or refreshed
3. Which page it should link to
4. Which page should link back to it
5. What approval is needed

Here is the decision logic:

Step 4: add GEO prompt angles

Now add the GEO layer. A keyword says what someone types into search. A prompt says what someone may ask an AI assistant.

For each cluster, ask Hermes to create prompt angles:

For each keyword cluster, generate GEO prompt angles.

Create prompts in these categories:
1. Definition prompt
2. How-to prompt
3. Comparison prompt
4. Recommendation prompt
5. Problem-solving prompt
6. Buyer decision prompt, if relevant

For each prompt, map:
- Target page
- Missing evidence
- Entities to define
- Answer block needed
- Table or checklist needed

Example output:

| Cluster | GEO prompt | Target page | Missing evidence | Answer block needed |
|---|---|---|---|---|
| GSC + GA4 reporting | How do I connect Google Search Console data with GA4 landing page reports? | /blog/gsc-ga4-seo-reporting | Example workflow, field list | Step-by-step setup summary |
| AI search visibility | What tool can check whether my brand appears in AI search answers? | /tools/ai-search-visibility-checker | Product use case, prompt examples | Short tool explanation + use cases |

This matters for content structure. The article should not only target a keyword. It should answer the questions an AI system might summarize.

Step 5: check cannibalization before making the calendar

Do not schedule new pages until Hermes checks for overlap.

Use this prompt:

Review the proposed clusters and page types for cannibalization risk.

Find:
1. Clusters that target the same intent.
2. Proposed pages that should be merged.
3. Existing pages that should be refreshed instead of replaced.
4. Keywords that should be secondary sections, not standalone pages.
5. Internal link relationships that clarify hierarchy.

Return a cannibalization risk table with recommended fixes.

Cannibalization table:

| Cluster A | Cluster B | Risk | Recommended fix | Final page decision |
|---|---|---|---|---|

Example:

This saves time. It is easier to merge ideas before anyone writes the pages.

Step 6: score each content opportunity

A 90-day calendar should not be sorted by search volume alone. Score by value and feasibility.

Use this scoring model:

Priority formula:

Search demand + Business relevance + GEO potential + Existing authority - Effort - Risk

Prompt:

Score each approved content opportunity.

Use these factors:
- Search demand: 1-5
- Business relevance: 1-5
- GEO potential: 1-5
- Existing authority: 1-5
- Effort: 1-5
- Risk: 1-5

Calculate priority score:
Search demand + Business relevance + GEO potential + Existing authority - Effort - Risk

Return a sorted table.
If data is missing, use "unknown" and explain the assumption.

Do not let Hermes hide assumptions. If search volume is unknown, the score should say unknown, not pretend to be precise.

Step 7: build the 90-day calendar

Now you can create the calendar. For most teams, 90 days should not mean 90 articles. It should mean a realistic mix of new pages, refreshes, templates, and technical improvements.

For a small team, start with 2-3 content actions per week:

Hermes prompt:

Create a 90-day SEO/GEO content calendar from the approved opportunity list.

Rules:
- Do not schedule more than 3 content actions per week for a small team.
- Mix new pages, refreshes, briefs, internal links, and QA tasks.
- Put high-business-relevance topics earlier.
- Put refreshes before duplicate new pages.
- Include approval checkpoints.
- Include the target internal link for each page.
- Include the GEO prompt angle for each page.

Return a weekly calendar table.

Calendar template:

| Week | Action | Cluster | Page type | Target URL | Primary keyword | GEO prompt angle | Internal link target | Owner | Approval gate |
|---|---|---|---|---|---|---|---|---|---|

Step 8: create briefs only for the first two weeks

Do not ask Hermes to write briefs for all 90 days at once. Markets change. Search results change. Your team will learn from the first few pages.

Ask for briefs only for the first two weeks:

Create content briefs for the first two weeks of the approved 90-day calendar.

For each brief, include:
1. Working title
2. Target reader
3. Search intent
4. GEO prompt intent
5. Page type
6. Primary keyword
7. Supporting questions
8. Entities to explain
9. Required sources or evidence
10. Recommended structure
11. Internal links
12. CTA or conversion path
13. Quality gate
14. Approval needed

Do not write full drafts yet.

This keeps the system flexible. A 90-day calendar is a planning tool, not a publishing prison.

Step 9: add a human approval gate

Before anything becomes a draft, review the calendar.

Use this approval checklist:

# 90-day content calendar approval checklist

- [ ] Each page has a clear search intent.
- [ ] Each page has a GEO prompt angle.
- [ ] No two pages target the same intent.
- [ ] Existing pages are refreshed before duplicate pages are created.
- [ ] High-business-relevance topics appear early enough.
- [ ] Each new page has an internal link target.
- [ ] Each page has a realistic owner.
- [ ] No high-risk claims are scheduled without source requirements.
- [ ] Publishing pace is realistic for the team.
- [ ] The first two weeks have briefs, not only titles.

Prompt Hermes:

Review the 90-day calendar against the approval checklist.

Return:
1. Pass/fail for each item.
2. Pages that should be merged.
3. Pages that should be delayed.
4. Missing internal links.
5. Missing evidence.
6. A revised calendar if needed.

The calendar is approved only after the human reviewer agrees.

Beginner example: a small B2B SaaS calendar slice

Here is a small example for a SaaS analytics company:

Notice the mix. It is not just new articles. It includes refresh, brief, draft, and internal link work.

Common mistakes

Auspia take

Hermes works well for keyword clustering because the job is not one creative leap. It is a sequence of small decisions: clean, group, label, map, score, schedule, approve. That is exactly the kind of work an agent can help with if the rules are clear.

The real win is not a prettier spreadsheet. The real win is fewer random pages. Every planned page should have a reason to exist, a search intent, a GEO prompt angle, an internal link role, and a human approval gate.

If a keyword cannot pass those checks, it probably should not become a page yet.

FAQ

Can Hermes do keyword research by itself?

Hermes can organize, expand, and classify keywords, but it still needs data. Start with seed keywords from your product, customer questions, GSC, SEO tools, paid search, sales calls, or competitor research.

Should every keyword cluster become a new article?

No. Some clusters should become sections inside existing pages. Some should refresh old content. Some should become tool pages, templates, glossary entries, or comparison pages. Some should be rejected.

How many pages should a 90-day content calendar include?

For a small team, 8-20 meaningful content actions may be enough. A content action can be a new article, refresh, brief, internal link update, template, or QA task. Do not measure the plan only by article count.

How does this help GEO?

Each cluster gets mapped to AI search prompts, entities, answer blocks, tables, and evidence needs. That makes the resulting content easier for AI systems to understand and summarize.

How do I avoid keyword cannibalization?

Ask Hermes to compare clusters by search intent, existing page match, and target URL before scheduling. Merge clusters when they serve the same reader need.

Should Hermes write all drafts after building the calendar?

No. Ask for briefs first, then draft only the approved pages. This keeps the workflow controlled and prevents low-quality bulk publishing.

Continue the Hermes SEO/GEO series

• Start here: Hermes SEO/GEO operator guide .
• Previous guide: How to connect Hermes to GSC, Bing Webmaster, and GA4 .
• Next guide: How to build a GEO prompt map from SEO keywords .
• Closely related: How to build a GEO prompt map from SEO keywords , How to use Hermes for internal linking and site architecture .

Author: David Sinclair, Topical Authority Strategist Across 500+ Topic Clusters at Auspia. David writes about topic clusters, authority building, coverage planning, and practical content systems for organic growth teams.