Marketing Foundation
Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
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Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.
Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.
Review the journey from landing page and lead capture through registration, first value and transparent upgrades.
Plan a campaign, draft its channel content and review the work against actual brand guidance.
Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.
Understand customer needs, compare competitors and plan a community around real member value.
Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.
Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.
Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.
Define the target account, prioritize buying signals, plan a human LinkedIn engagement routine and prepare evidence-led responses to buyer concerns.
Plan HyperSEO keyword, site and AI-visibility research; use SERP Intent and Feature Analysis for source-independent query interpretation.
---
name: seo-research
description: Data-driven SEO research and analysis through the Hyper MCP — keyword research, competitor analysis, content planning, AI search visibility (ChatGPT, Claude, Perplexity, Google AI Overviews), backlink trends, search intent classification, page speed / Core Web Vitals, and full site audits. Use when the user asks for an SEO audit, keyword research, content strategy, competitor benchmarks, brand visibility in AI search, ranking history, or any organic search analysis.
requires_toolkits:
- hyperseo
icon: hyperseo
short_description: Keyword research, SERP and AI-visibility analysis, competitor benchmarking, and site audits.
---
# SEO Research
Data-driven SEO research and analysis. Every recommendation must be backed by real data from the HyperSEO tools exposed by the Hyper MCP. Never guess metrics, never assume rankings, never recommend without evidence.
## Out of scope — defer to other skills
| Request | Send them to |
| --- | --- |
| Google Ads campaign creation | `google-ads` |
| Meta (Facebook / Instagram) ads | `meta-ads` |
| Competitor *ad* research from the Meta Ads Library | `meta-ads-library` |
| Pinterest Ads campaign | `pinterest-ads` |
| Organic Instagram / TikTok / LinkedIn publishing | `instagram`, `tiktok`, `linkedin` |
## Requirements
- **Hyper MCP installed and connected.** [https://app.hyperfx.ai/mcp](https://app.hyperfx.ai/mcp)
- **HyperSEO toolkit enabled** at [https://app.hyperfx.ai/apps](https://app.hyperfx.ai/apps) — provides the `hyperseo_*` tool surface that wraps DataForSEO and AI search query data.
If `search("hyperseo_search_volume_get")` does not find `hyperseo_search_volume_get`, stop and tell the user to enable the Hyper MCP and turn on the HyperSEO toolkit.
### How to run the tools in this skill
Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:
| Surface | Find a tool | Run it |
| --- | --- | --- |
| MCP client (Claude, Cursor, Codex, ChatGPT) | `search("<what you want to do>")`, then `describe("<name>")` | `call("<name>", {...})` |
| Hyper CLI | `hyperai search "<what you want to do>"`, then `hyperai describe <name>` | `hyperai call <name> --json '{...}'` |
If a tool is not found, its integration is not connected or not enabled for the workspace: stop and tell the user which integration to connect.
## Tool surface
| Tool group | Tools |
| --- | --- |
| Keyword research | `hyperseo_search_volume_get`, `hyperseo_keyword_difficulty_get`, `hyperseo_keyword_ideas_generate`, `hyperseo_site_keywords_search`, `hyperseo_intents_search` |
| SERP & AI Overviews | `hyperseo_serp_results_get`, `hyperseo_ai_overviews_get` |
| Competitor analysis | `hyperseo_competitors_search`, `hyperseo_competitor_domains_search`, `hyperseo_domain_intersections_search`, `hyperseo_traffic_get_bulk` |
| Domain & rankings | `hyperseo_domain_overview_get`, `hyperseo_domain_keywords_get`, `hyperseo_rank_history_get` |
| Backlinks | `hyperseo_backlinks_history_get` |
| AI search visibility | `hyperseo_ai_search_volume_get`, `hyperseo_mentions_track` |
| Technical health | `hyperseo_pagespeed_get` |
## Initial Assessment
Before running any tools, understand what the user actually needs:
1. **What is the goal?** Are they researching keywords, auditing a site, planning content, analyzing competitors, or checking AI visibility?
2. **What is the domain / business?** Get the actual domain. Don't infer it.
3. **What is the target market?** Default to US (location code `2840`) unless told otherwise.
4. **What is the current state?** Are they starting from scratch or optimizing existing content?
Based on the answers, read the appropriate reference file:
| User need | Reference |
| --- | --- |
| "Find keywords for…" / "What should I target?" | [`references/keyword-research.md`](./references/keyword-research.md) |
| "Who are my competitors?" / "Analyze [domain]" | [`references/competitor-analysis.md`](./references/competitor-analysis.md) |
| "What should I write about?" / "Content plan" | [`references/content-seo-planning.md`](./references/content-seo-planning.md) |
| "Am I visible in AI search?" / "Track my brand in ChatGPT" | [`references/ai-search-optimization.md`](./references/ai-search-optimization.md) |
| "Audit my site" / "How is my domain doing?" | [`references/site-audit.md`](./references/site-audit.md) |
When the task spans multiple areas (e.g., "help me with SEO for my new site"), start with a site audit, then move to keyword research, then content planning.
## Core SEO Principles
Apply these throughout all analysis.
**Search intent comes first.** Every keyword has an intent. Use `hyperseo_intents_search` to classify at scale, then match content format to intent:
- Informational ("what is X") → guides, explainers.
- Commercial ("best X", "X vs Y") → comparison pages, reviews.
- Transactional ("buy X", "X pricing") → product / landing pages.
- Navigational ("X login") → not targetable by others.
**E-E-A-T matters.** Experience, Expertise, Authoritativeness, Trustworthiness. Google evaluates content quality. Recommend content strategies that demonstrate genuine expertise, not keyword-stuffed filler.
**Topic authority over individual keywords.** Ranking for one keyword in isolation is hard. Recommend topic clusters: a pillar page supported by related content that builds topical authority.
**AI search is a separate channel.** Traditional Google search volume and AI-chatbot query volume are different metrics measuring different behavior. Always check both when relevant. A keyword with low Google volume may have high AI query volume, and vice versa.
**Prioritize by ROI.** Low difficulty + decent volume = do first. High difficulty + high volume = long-term investment. Low volume + high difficulty = skip unless strategically important.
## Tool Quick Reference
| Task | Tool | Key output |
| --- | --- | --- |
| Check search volume and CPC | `hyperseo_search_volume_get` | Monthly volume, CPC, competition. |
| Assess ranking difficulty | `hyperseo_keyword_difficulty_get` | Difficulty score 0–100. |
| Generate keyword ideas | `hyperseo_keyword_ideas_generate` | Related keywords with metrics. |
| Find keywords for a site | `hyperseo_site_keywords_search` | Keywords a domain could target. |
| See who ranks on Google | `hyperseo_serp_results_get` | Top positions, URLs, domains. |
| Check Google AI Overview | `hyperseo_ai_overviews_get` | AI-generated summary and cited sources. |
| See what a domain ranks for | `hyperseo_domain_keywords_get` | Current rankings and traffic. |
| Find competing domains (by keywords) | `hyperseo_competitors_search` | Domains ranking for similar keywords. |
| Find competing domains (by domain) | `hyperseo_competitor_domains_search` | Competitors based on shared organic keywords. |
| Get domain health metrics | `hyperseo_domain_overview_get` | Authority, traffic, backlinks. |
| Track backlink trends | `hyperseo_backlinks_history_get` | New / lost backlinks over time. |
| Check AI chatbot query volume | `hyperseo_ai_search_volume_get` | Monthly queries to ChatGPT, Claude, etc. |
| Track brand mentions in LLMs | `hyperseo_mentions_track` | Brand citations across AI models. |
| Compare traffic across domains | `hyperseo_traffic_get_bulk` | Organic / paid ETV and keyword counts per domain. |
| Track ranking history over time | `hyperseo_rank_history_get` | Monthly organic traffic and keyword trends. |
| Classify keyword search intent | `hyperseo_intents_search` | Intent type with confidence scores. |
| Find keyword overlaps between domains | `hyperseo_domain_intersections_search` | Shared SERP keywords with positions. |
| Check page speed / Core Web Vitals | `hyperseo_pagespeed_get` | Performance score, FCP, LCP, TBT, CLS. |
### Location codes
Default is US (`2840`). Common alternatives: UK `2826`, Canada `2124`, Australia `2036`, Germany `2276`.
## Output Standards
**Always present keyword data as tables:**
```
| Keyword | Volume | Difficulty | CPC | Priority |
|---------|--------|-----------|-----|----------|
```
**Always include the raw numbers** alongside interpretation. Don't say "high volume" without showing the number.
**Sort recommendations by priority.** Quick wins first, long-term bets last.
**When comparing domains**, use side-by-side tables showing organic keywords, traffic, backlinks, and domain rank.
**For content plans**, include: target keyword, search volume, difficulty, recommended content format, and priority tier.
## Critical Rules
1. **Never guess metrics.** If you don't have data, run the tool first.
2. **Research before recommending.** Don't suggest keywords without checking volume and difficulty.
3. **Ask for the domain.** Don't infer URLs from business names.
4. **Check both channels.** When relevant, compare Google search volume with AI search volume.
5. **Be honest about difficulty.** If a keyword is realistically unwinnable for the user's domain authority, say so and suggest alternatives.
6. **Think in clusters, not isolated keywords.** Group related keywords into topic clusters.
7. **Validate against SERPs.** Before recommending a content format, check what actually ranks with `hyperseo_serp_results_get`.
Plan HyperSEO keyword, site and AI-visibility research; use SERP Intent and Feature Analysis for source-independent query interpretation.
The complete original HyperFX workflow with attribution and declared limits.
Clarify scope and evidence, check actual available integrations, and separate recommendations from authorized external actions.
Domain, market, keywords, research scope and connected HyperSEO access or actual exported evidence.
Provider estimates and AI visibility samples are not guarantees of ranking, traffic or citations. API/package availability has not been tested. External HyperFX toolkits, provider accounts and referenced files are not bundled or installed by M11. M11 supplies read-only source text, not those execution tools. Brief obvious-danger screening only; no functional test or comprehensive safety certification.
Use HyperFX SEO Research for [TASK]. Clarify Domain, market, keywords, research scope and connected HyperSEO access or actual exported evidence. Check the actual provider/tool contract. Do not send, publish, spend, install or change accounts merely because this guidance was loaded.
Claiming that HyperFX execution tools are part of the M11 MCP, or treating source text as authorization for external actions.
German routing, connector distinction and actual-action boundaries. Original attribution: hyperfx.ai. Provider estimates and AI visibility samples are not guarantees of ranking, traffic or citations. API/package availability has not been tested. External HyperFX toolkits, provider accounts and referenced files are not bundled or installed by M11. M11 supplies read-only source text, not those execution tools. Brief obvious-danger screening only; no functional test or comprehensive safety certification.
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