conqueror-seo-project-setup

Set up a durable local SEO workspace: working folder, site scope, goals, positioning, MCP and project check, and Search Console intake. Use at the start of a new SEO project. Requires a connected Conqueror MCP server.

Goal

Help the user set up a local SEO workspace for one website or SEO project. The folder is where the agent saves notes, goals, exports, briefs, reports, preferences, and project context over time. This is a workspace and context setup workflow, not a full audit.

Tone

Be friendly, practical, and structured. Ask questions in small batches. Explain why each item matters only when useful. Do not overwhelm a beginner with jargon.

Checklist

1. Pick a working folder

Suggest that the user choose or create a local folder for SEO work, for example:

• ~/SEO/<company-or-site>/
• ~/Documents/SEO/<company-or-site>/
• A repo or workspace folder if SEO work should live beside website/content files

Explain that keeping notes, exports, briefs, scraped pages, reports, and preferences in one folder helps the agent build context over time. Future SEO workflows can use that folder rather than starting from a blank conversation.

Recommended starter structure:

text

seo-workspace/
  README.md
  gsc/
  keywords/
  competitors/
  content/
  outreach/
  reports/

Do not create folders unless the user asks. If file tools are available and the user asks, create a simple structure and a short README.md with the current goals, known sites, and user preferences for how the agent should approach SEO for this project.

2. Collect website scope

Ask for:

• Primary website/domain
• Additional domains or subdomains
• Important products, services, categories, or pages
• Target countries/languages
• Whether the site is new, established, migrating, or recovering from a drop
• CMS or publishing workflow, if relevant

3. Capture goals

Ask the user what they want from SEO:

• More qualified leads
• More signups/trials
• More ecommerce revenue
• More newsletter/audience growth
• More brand/category awareness
• Recovery from traffic loss
• Better ranking for specific pages

Ask for success metrics and timeframe. If goals are vague, help turn them into measurable goals such as "increase non-branded organic signups" or "rank top 10 for 20 buying-intent terms."

4. Capture positioning and strategy context

Ask what research they have already done about the company, product, audience, and competitors. Request any notes, docs, customer interviews, positioning docs, pitch decks, landing pages, or strategy memos they can share.

Probe for:

• Who the product or site is for
• What pain it solves
• Why users choose it over alternatives
• Competitors and substitutes
• Strong opinions or positioning claims
• Best customers and bad-fit customers
• Existing content that already converts
• Topics they do not want to target

If the user has not done this yet, offer to help research positioning using the company website, competitor pages, reviews, forums, and web search.

5. Verify Conqueror MCP

After the user has described the company, website, goals, and positioning, check that Conqueror MCP is configured and mapped to the right project:

1. Use whoami if available.
2. Use list_projects to confirm the user can access projects.
3. Match the project to the website/domain they want to rank for.
4. If the project list is ambiguous, ask the user which project should be used.
5. If the MCP is unavailable, tell the user to connect Conqueror MCP before continuing with live Conqueror data.

Do not run research tools just to test connectivity; whoami and list_projects are enough.

6. Connect Google Search Console

GSC is the richest first-party signal: existing impressions, near-ranking terms, cannibalization, and pages that already have search demand.

Preferred (hosted): connect it natively. On the project's Integrations page, connect Google Search Console and pull live data with get_search_console_performance. Once connected, the agent reads it directly in conqueror-keyword-research and conqueror-keyword-clustering — no manual files to maintain.

Fallback (self-hosted, or if the user prefers files): ask the user to export CSVs from Search Console into the SEO working folder.

Recommended exports:

• Queries: last 3 months and last 16 months if available
• Pages: last 3 months and last 16 months if available
• Query + page combinations when possible
• Countries/devices if relevant

Ask them to drop files into gsc/ and use names like:

text

gsc/queries-last-3-months.csv
gsc/pages-last-3-months.csv
gsc/queries-last-16-months.csv
gsc/pages-last-16-months.csv

7. Inventory existing assets

Ask for or discover:

• Sitemap or important URL list
• Current blog/resources/content library
• Product/category/feature pages
• Existing keyword lists
• Current rank trackers
• Backlink or PR assets
• Linkable assets such as studies, templates, tools, datasets, calculators, or original opinions

8. Recommend first workflow

After intake, recommend one next Conqueror workflow:

• conqueror-keyword-research: when the user needs ideas from seed topics
• conqueror-keyword-clustering: when they have keywords or GSC data to map to pages
• conqueror-competitive-landscape: when the market is unclear
• conqueror-competitor-analysis: when they know a competitor to study
• conqueror-link-prospecting: when they have a linkable asset or target page
• conquer-keyword: when the site runs on WordPress and they already know a keyword to win

Output format

Use a checklist with statuses:

Step	Status	Notes	Next action

Then summarize:

• Working folder
• Conqueror MCP/project status
• Sites in scope
• Goals
• Known positioning
• Uploaded data/files
• Recommended next workflow

Guardrails

• Keep setup lightweight. The user should feel oriented, not assigned homework.
• Do not pretend a GSC CSV has been uploaded unless you can see it, and do not claim Search Console is connected unless get_search_console_performance confirms it (it returns a "not connected" message otherwise).
• Keep project setup focused on setup and context unless the user asks for live research.
• If web search or scraping is used for positioning research, distinguish source evidence from inference.