OpenSEO Keyword Research
Goal
Turn seed topics into a prioritized keyword opportunity set using OpenSEO MCP data. The output should help the user decide what to target, what to save, and what to research next.
Required inputs
projectId
- One or more seed topics, products, pages, competitors, or audience problems
- Optional market/location/language
If projectId is missing, use list_projects first. If the target market/location/language is unclear and would materially affect keyword metrics, ask the user; otherwise use the MCP tool defaults.
OpenSEO MCP tools
research_keywords: primary discovery tool. Use 1-5 seeds per call and prefer 150 results unless the user asks for exhaustive research.
get_keyword_metrics: hydrate up to 700 known keywords with volume, keyword difficulty (KD), search intent, CPC, and monthly trends in one call. Use it to score candidate or known terms — including the Search Console striking-distance queries from step 1.
get_ranked_keywords: pull exact ranking keyword rows when a target domain or page is part of the research brief.
get_search_console_performance: when Search Console is connected, start from the project's real first-party demand — queries already earning impressions and near-ranking ("striking distance") terms. Request a high rowLimit and filter average position 5-20 client-side, since the API sorts by clicks and can't filter by position. Then hydrate those striking-distance queries with get_keyword_metrics to attach difficulty and intent.
get_serp_results: inspect SERPs for the top candidate terms, especially when intent is ambiguous.
search_local_businesses, get_local_serp_results, and get_google_business_questions: use for local SEO topics when a business/location radius matters.
list_saved_keywords: avoid duplicating already-saved work or use existing tags as context.
save_keywords: save selected keywords only after explicit user confirmation.
Workflow
- Normalize seeds into a small set of distinct research angles. If Search Console is connected for the project, first pull
get_search_console_performance (high rowLimit, default lookback), filter to striking-distance positions (~5–20) client-side, and hydrate those queries with get_keyword_metrics to attach KD and intent. That ranked, hydrated list is your fastest opportunity set — work it before broad discovery.
- If the request is local SEO, identify the business, location/coordinates or service area, and local categories. Use
search_local_businesses and get_local_serp_results for the most important location/keyword set instead of relying only on national keyword/SERP data.
- Call
research_keywords for exploratory seeds. Use bulk calls when possible.
- Use
get_keyword_metrics to hydrate a fixed keyword list — or the striking-distance queries from step 1 — with volume, KD, and intent before prioritizing.
- Use
get_ranked_keywords when the user provides a domain/page and wants opportunities based on current rankings, near-misses, or competitor-owned terms.
- Remove irrelevant, duplicate, branded-only, and off-intent terms.
- Prioritize by practical opportunity, not volume alone:
- Strong match to the user's product/page/topic
- Clear search intent
- Reasonable difficulty
- Useful volume/CPC signal
- SERP where the user can plausibly compete
- For local SEO, local-pack/Maps visibility and proximity fit
- Use
get_serp_results for high-potential or ambiguous keywords when SERP intent would change the recommendation; keep the default check small.
- Present a shortlist and a longer opportunity table.
- Ask before saving keywords. When saving, suggest concise tags such as
topic:<topic>, intent:<intent>, or page:<slug>.
Output format
Start with the highest-signal recommendation:
- Best opportunity theme
- Top keywords to target now
- Keywords to save
- Risks or SERP caveats
Then include a compact table:
| Keyword |
Intent |
Volume |
KD |
CPC |
Priority |
Notes |
End with next actions, including whether to run keyword clustering, create a content brief, or save the chosen keywords.
Guardrails
- Do not invent metrics. If OpenSEO does not return a value, write
unknown.
- Do not call
save_keywords without explicit confirmation.
- Prefer business-fit and intent-fit over chasing the largest volume term.
1---2name: keyword-research3description: Discover keyword opportunities, evaluate metrics and SERPs, and save/tag promising terms.4---56# OpenSEO Keyword Research78## Goal910Turn seed topics into a prioritized keyword opportunity set using OpenSEO MCP data. The output should help the user decide what to target, what to save, and what to research next.1112## Required inputs1314- `projectId`15- One or more seed topics, products, pages, competitors, or audience problems16- Optional market/location/language1718If `projectId` is missing, use `list_projects` first. If the target market/location/language is unclear and would materially affect keyword metrics, ask the user; otherwise use the MCP tool defaults.1920## OpenSEO MCP tools2122- `research_keywords`: primary discovery tool. Use 1-5 seeds per call and prefer 150 results unless the user asks for exhaustive research.23- `get_keyword_metrics`: hydrate up to 700 known keywords with volume, keyword difficulty (KD), search intent, CPC, and monthly trends in one call. Use it to score candidate or known terms — including the Search Console striking-distance queries from step 1.24- `get_ranked_keywords`: pull exact ranking keyword rows when a target domain or page is part of the research brief.25- `get_search_console_performance`: when Search Console is connected, start from the project's real first-party demand — queries already earning impressions and near-ranking ("striking distance") terms. Request a high `rowLimit` and filter average position 5-20 client-side, since the API sorts by clicks and can't filter by position. Then hydrate those striking-distance queries with `get_keyword_metrics` to attach difficulty and intent.26- `get_serp_results`: inspect SERPs for the top candidate terms, especially when intent is ambiguous.27- `search_local_businesses`, `get_local_serp_results`, and `get_google_business_questions`: use for local SEO topics when a business/location radius matters.28- `list_saved_keywords`: avoid duplicating already-saved work or use existing tags as context.29- `save_keywords`: save selected keywords only after explicit user confirmation.3031## Workflow32331. Normalize seeds into a small set of distinct research angles. If Search Console is connected for the project, first pull `get_search_console_performance` (high `rowLimit`, default lookback), filter to striking-distance positions (~5–20) client-side, and hydrate those queries with `get_keyword_metrics` to attach KD and intent. That ranked, hydrated list is your fastest opportunity set — work it before broad discovery.342. If the request is local SEO, identify the business, location/coordinates or service area, and local categories. Use `search_local_businesses` and `get_local_serp_results` for the most important location/keyword set instead of relying only on national keyword/SERP data.353. Call `research_keywords` for exploratory seeds. Use bulk calls when possible.364. Use `get_keyword_metrics` to hydrate a fixed keyword list — or the striking-distance queries from step 1 — with volume, KD, and intent before prioritizing.375. Use `get_ranked_keywords` when the user provides a domain/page and wants opportunities based on current rankings, near-misses, or competitor-owned terms.386. Remove irrelevant, duplicate, branded-only, and off-intent terms.397. Prioritize by practical opportunity, not volume alone:40 - Strong match to the user's product/page/topic41 - Clear search intent42 - Reasonable difficulty43 - Useful volume/CPC signal44 - SERP where the user can plausibly compete45 - For local SEO, local-pack/Maps visibility and proximity fit468. Use `get_serp_results` for high-potential or ambiguous keywords when SERP intent would change the recommendation; keep the default check small.479. Present a shortlist and a longer opportunity table.4810. Ask before saving keywords. When saving, suggest concise tags such as `topic:<topic>`, `intent:<intent>`, or `page:<slug>`.4950## Output format5152Start with the highest-signal recommendation:5354- Best opportunity theme55- Top keywords to target now56- Keywords to save57- Risks or SERP caveats5859Then include a compact table:6061| Keyword | Intent | Volume | KD | CPC | Priority | Notes |62| ------- | ------ | -----: | --: | --: | -------- | ----- |6364End with next actions, including whether to run keyword clustering, create a content brief, or save the chosen keywords.6566## Guardrails6768- Do not invent metrics. If OpenSEO does not return a value, write `unknown`.69- Do not call `save_keywords` without explicit confirmation.70- Prefer business-fit and intent-fit over chasing the largest volume term.