SEOmatic Traffic Drop Diagnosis for Openclaw

SEOmatic Traffic Drop Diagnosis uses real Google Search Console data to explain organic traffic losses and prioritize evidence-based fixes.

minh42
v1.0.1
Oct 13, 2026
0
53
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install seomatic-traffic-drop

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install seomatic-traffic-drop using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is SEOmatic Traffic Drop Diagnosis?

SEOmatic Traffic Drop Diagnosis is an Openclaw Skills workflow for investigating declines in organic clicks, traffic, or rankings on a connected site. It compares performance with seasonal patterns, pinpoints the pages and queries responsible for losses, checks indexing and competitor signals, and distinguishes SEO problems from measurement issues.

The skill produces a data-backed verdict before recommending changes. Work can be staged as SEOmatic tasks when the connected plan supports it, but nothing goes live without the user's approval, and every change can be rolled back.

SEOmatic Traffic Drop Diagnosis Use Cases

  • Organic clicks or search traffic have fallen and you need to know whether the change is seasonal or a real loss.
  • Rankings or clicks dropped suddenly, and you want to identify the date and likely cause.
  • You need to find which site sections, pages, or search queries account for the largest click losses.
  • A technical change, migration, or redesign may have affected indexing or page content.
  • Search Console and GA4 numbers disagree, raising the possibility of a tracking or measurement issue.
  • You want to prioritize recovery work by potential clicks recovered and stage approved fixes through SEOmatic.

How SEOmatic Traffic Drop Diagnosis Works

  1. Confirm Search Console is connected. If it is not, stop and ask the user to connect it at https://app.seomatic.ai/connect/gsc; do not substitute guesses for Search Console data.
  2. Check gsc_insights seasonality across 16 months year over year, then compare the latest 28 days with the preceding 28 days using gsc_performance. Use the trend data to identify when the decline began. Treat very recent figures as provisional because Search Console data can lag by 2–3 days.
  3. Locate the loss with folder rollups and page- and query-level period comparisons. Identify the biggest click losers and compare their positions before and after the decline.
  4. Investigate likely causes. Check SERP features for queries where position held but clicks fell; inspect losing URLs for indexing, canonical, noindex, or fetch issues; review sitemap errors; and crawl leading affected pages for title, H1, or body changes.
  5. If GA4 is connected, compare organic sessions with Search Console clicks to help rule out measurement problems.
  6. Report a concise verdict that states the likely cause, confidence, date range, evidence, and anything that could not be checked. Rank recommended fixes by expected clicks recovered.
  7. If the user wants work staged and the plan permits it, check for duplicate tasks, create appropriate tasks, report their estimated costs, and wait for approval. Never approve on the user's behalf; verify task results before claiming a change was made.

SEOmatic Traffic Drop Diagnosis Setup

  1. Add the SEOmatic MCP server at https://app.seomatic.ai/api/mcp using the streamable HTTP transport and OAuth authentication. Alternatively, configure a Bearer API key beginning with smk_ from the SEOmatic AI Agents settings page: https://app.seomatic.ai/dashboard/settings?tab=ai-agents.
  2. Connect the site's Google Search Console account at https://app.seomatic.ai/connect/gsc. Search Console connection is required before diagnosis; if it is missing, stop and ask the user to connect it.
  3. Make the seomatic MCP server available to the agent. This skill declares no environment-variable or binary requirements.
  4. Search Console and page reads are free. SERP and backlink lookups use the free monthly allowance or AI credits. Staging tasks requires a paid SEOmatic plan and an API key with the agents:act scope; on a free key, describe the recommended fix instead of attempting to stage it.

No CLI installation command is specified by the skill; setup is performed through the SEOmatic MCP connection and account links above.

SEOmatic Traffic Drop Diagnosis Data Schema & Taxonomy

The skill reads data through SEOmatic MCP tools scoped to the connected site; it does not specify local generated files or a separate on-disk data format.

Data area Tool and actions Diagnostic purpose
Seasonality and insights gsc_insights: seasonality, sitemaps Compare 16 months year over year and identify sitemap errors.
Search performance gsc_performance: compare_periods, trend, folder_rollup, fresh Compare date ranges, locate the start of a decline, group losses by site folder, and check recent provisional data.
Indexing gsc_indexing: batch_inspect Inspect losing URLs for indexing status, canonicalization, noindex directives, and fetch errors.
Search results and competitors serp_competitors: features Check SERP features for queries where clicks fell despite steady position.
Page content site_pages: crawl Review titles, H1s, and body content on affected pages.
Analytics traffic_analytics: sources Compare GA4 traffic sources with Search Console performance when GA4 is connected.
Remediation tasks task_manage: list, create, get, decide Check for duplicates, stage fixes, inspect task results, and record a decision only after the user explicitly approves a specific task.

Staged tasks use targetKey for a full page URL or a content topic, a user-oriented title, and a rationale containing supporting numbers. Task types include content_refresh, ctr_fix (requires queries), index_request, and technical_fix. Each task provides an estimatedCost.label to quote to the user.

SEOmatic Traffic Drop Diagnosis Advanced Features

  • Separates seasonality from a genuine decline using a 16-month year-over-year comparison, helping avoid unnecessary fixes.
  • Combines period comparisons, daily trends, folder rollups, page and query losses, indexing checks, and competitor signals for a multi-angle diagnosis.
  • Accounts for Search Console's 2–3 day reporting lag and labels very recent data as provisional.
  • Cross-checks GA4 organic sessions against Search Console clicks when analytics is connected.
  • Ranks recommendations by potential clicks recovered and supports staging up to five remediation tasks when the plan and API-key scope allow it.
  • Uses an approval-first workflow: staged work does not run until approved, and the agent must verify task results before reporting a change.
  • Enforces evidence-based reporting: quote exact date ranges, do not invent metrics, and treat algorithm-update explanations as hypotheses unless the evidence supports them.
  • As an Openclaw Skills integration, connects through the seomatic MCP server using OAuth or a Bearer API key; the tools operate on the connected site, so the agent should not ask the user for a domain.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*