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/seo-ai-social-report

Generate one unified performance report that brings together SEO rankings, AI-search visibility (SE Ranking) and social engagement (Planable) — delivered as a short text summary in chat plus a self-contained interactive HTML report. Use this skill whenever the user wants a

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seo-skills
20632 skills1 MCP

Claude Code

$ npx -y skills add seranking/seo-skills --skill seo-ai-social-report --agent claude-code

SKILL.md

seo-ai-social-report.SKILL.md
name: seo-ai-social-report
description: >
  Generate one unified performance report that brings together SEO rankings, AI-search visibility
  (SE Ranking) and social engagement (Planable) — delivered as a short text summary in chat plus a
  self-contained interactive HTML report. Use this skill whenever the user wants a combined cross-channel
  report, or says things like "give me a full report across SEO and social", "how did we do this month
  across search and social", "combined SEO + AI + social report for [client]", "build a cross-channel
  dashboard", or "one report that covers rankings, AI visibility and social". Always activate when the
  request spans both search (SE Ranking) and social (Planable) in a single report.

Unified SEO + AI + social report

Most reporting forces clients to read three tools separately. This produces one view: search rankings and AI-search visibility from SE Ranking, social engagement from Planable, with quick text conclusions for the inbox and an interactive HTML report for the detail.

Prerequisites

  • **SE Ranking MCP** connected (a project gives the cleanest ranking trend; Data API history works without one).
  • **Planable MCP** connected, with the workspace and connected pages.
  • The user provides: domain + brand, market/country (default `us`), the Planable workspace, the reporting period (default: previous calendar month), and optionally competitors for share-of-voice.

Connector health check

Before doing anything else, verify both MCPs are reachable:

  • **SE Ranking:** call `DATA_getSubscription`. If it fails or returns an auth error, stop immediately and tell the user:

> "The SE Ranking connector isn't responding — please reconnect it before we continue. Setup guide: https://seranking.com/api/integrations/mcp/"

  • **Planable:** call `list_workspaces`. If it fails or returns an auth error, stop immediately and tell the user:

> "The Planable connector isn't responding — please reconnect it before we continue. Setup guide: https://help.planable.io/hc/en-us/articles/27538577098780-How-to-connect-Planable-MCP-to-your-AI-tools"

Only continue to the process steps below once both calls return a successful response.

Process

1. Scope

Confirm domain, Planable workspace, period, and competitors. Resolve the period to explicit start/end dates.

2. Pull SEO (SE Ranking)

  • **With a project:** `PROJECT_getSummary` and `PROJECT_getPositionHistory(site_id, type: avg_pos | visibility, date_from, date_to)` for the ranking trend; optionally reuse a finished audit (`PROJECT_listAudits` → `getAuditReport`) for a site-health number.
  • **Without a project:** `DATA_getDomainOverviewWorldwide` for the snapshot.
  • **Shortcut:** the AI overview call in step 3 (time-series view) already returns monthly `organic_traffic` / `overall_traffic` streams for the chosen country — you can reuse those for the organic-trend chart instead of a separate history call.

3. Pull AI search (SE Ranking)

  • `DATA_getAiSearchOverview(target, source, brand?)` with the default time-series view — brand presence, link presence, AI opportunity traffic, average position, plus monthly trend streams (including organic/overall traffic). If `previous` is `null`, treat it as a baseline — don't render the `change_percent` of 100 as growth.
  • `DATA_getAiSearchLeaderboard(primary, competitors[], source, engines[])` — share of voice vs competitors (only if competitors were provided). Query it narrowly (few engines/competitors per call) — it can time out on large requests.

4. Pull social (Planable)

  • `list_pages(workspaceId)` → page IDs.
  • `get_page_metrics_summary(workspaceId, pageIds, startDate, endDate)` — **account-level** audience/impressions/engagement-rate.
  • `get_post_metrics_summary(workspaceId, pageIds, startDate, endDate)` — **published-post** totals in the window. (Different scope from page impressions — keep them separate.)
  • `get_post_metrics(workspaceId, pageIds, ..., limit: 5)` — top posts.
  • `list_posts(...)` — posts published in the period (volume/cadence).
  • For a monthly social trend, call `get_page_metrics_summary` once per month bucket.

5. Write the quick conclusions (chat)

A ~10–15 line plain-text summary: the headline move in each of the three areas (SEO, AI search, social), then 2–3 specific callouts ("what moved", "what to watch"). This is the part most people actually read — make it sharp and number-led, no filler.

6. Build the interactive HTML report

Use the bundled template at `assets/report-template.html` as the starting point — it has the Planable colour palette, the card/section layout, and Chart.js (CDN) wired up, including a **dual-axis** trend chart. Populate it with the **real data** you pulled:

  • **KPI cards:** organic traffic, AI presence / share of voice, social impressions, engagement rate, posts — each with a real period-over-period change where you have one (leave the delta blank otherwise; never invent it).
  • **Trend charts (interactive):** ranking/organic trend, AI presence trend, social impressions & engagement. **When two series have very different scales** (e.g. organic traffic in the thousands vs AI opportunity traffic in the hundreds, or impressions vs engagement), plot them on a **dual axis** or in separate charts — don't squash them onto one axis or the smaller line flatlines.
  • **Share of voice:** a bar chart of brand vs competitors (omit if no competitors).
  • **Top posts** and **What moved / What to watch** — same callouts as the text summary.

Inline the data as JavaScript arrays in the file (no external data files, no `localStorage`). Save to the outputs folder as `{client}-{period}-cross-channel-report.html`, then share it with `present_files`. Validate the inline script parses (a quick `node --check`-style pass) before presenting.

Output

1. **Quick conclusions** — short text summary in chat (the numbers + 2–3 callouts). 2. **Interactive HTML report** — self-contained file, presented via `present_fi

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26 free, open-source Claude SEO skills for Claude Code, Claude Desktop, Cursor and any AI agent that supports Agent Skills and MCP.

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Questions about seo-ai-social-report.

Which coding agents can use seo-ai-social-report?
seo-ai-social-report installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.