LEARN SEOKIT
Turn search data into decisions
A practical path from Search Console basics to repeatable SEO workflows in SEOKit. Learn the metric, open the matching report, and finish with a concrete action.
SEO fundamentals
Start here if Google Search Console and its core SEO metrics are new to you.
What is SEO and how does it work
How Google finds, stores and shows pages, what affects rankings, where to start and how to check the result in Search Console.
What is Google Search Console and how to use it
The free Google service explained: its main reports, how to add your site, what it does not show and why its numbers differ from Analytics.
Clicks and impressions in Search Console: the difference
How Google counts impressions and clicks, why more impressions is not the goal and how to read the four ways the two numbers move.
What is CTR: formula, average position and how to read them
The CTR formula, what average position means in Search Console, why one average can mislead and how to judge CTR against your own site.
How Google indexing works and what the Page indexing statuses mean
How to check whether a page is indexed, what Crawled, Discovered and other Search Console statuses mean and when not being indexed is fine.
Link building and brand building: what Google says and how to measure it
What the documentation says about links and brand, what counts as link spam, how to mark paid links and how to measure the effect.
Solve a real SEO task
Each workflow maps to reports that already exist in SEOKit.
SEO quick wins from Google Search Console: a 7-day checklist
A bounded seven-day plan: baseline, candidates, intent, one change and a queue of at most three tasks, with Google-sourced limits.
Striking-distance keywords: how to find them in Search Console
Four gates, a same-query click gap and the limits of the report: find queries near page one worth a test, without invented uplift.
Content decay: how to find it in Search Console and decide what to fix
Split an observed click loss into demand and performance, run four gates and choose refresh, consolidate, fix or leave.
Title tags: how to write them and rewrite them with Search Console data
What a title tag is, Google’s own rules for it and how to test one honest rewrite: four gates and a CTR gap, with no invented length rule.
Keyword cannibalization: how to find and fix it with Search Console
Tell real ownership conflicts from normal sibling pages with four gates and choose differentiate, merge, redirect or canonical, with Google’s own warnings.
How to improve organic CTR: titles, snippets and your own baseline
Build a baseline from your own site, size the click gap for one pair, learn what Google documents about snippets and run one bounded test.
Indexing issues: a technical audit from sitemap to URL Inspection
Turn one coverage total into a queue: define the working set, drop expected exclusions, inspect representative URLs and fix one cause at a time.
How to get indexed in Brave Search (and why Claude cites it)
Two discovery channels, the verification-fetch rules and robots.txt traps, with what Brave documents kept apart from what a code analysis found.
How to connect Search Console to ChatGPT: routes, limits and trust
What a connection really is, what OpenAI documents for developer mode and the API, Google row limits and how to check the numbers.
Connect Search Console to ChatGPT: five methods compared
Export, custom action, self-hosted server, hosted app and BigQuery compared by row limits, live data, who runs it and trust.
Validate an SEO change
Add an annotation, define an equal comparison window and use experiments or change-point reports to test the result.
Measure AI Overviews on branded queries
What Search Console can and cannot show about AI Overviews on brand searches, and how many queries to sample.
Run an AI agent on Search Console data
Ten rules for scopes, skills, secrets, untrusted pages and approvals, plus a call-budget check.
How to choose an SEO MCP server
Four questions for any server and what Google Analytics, Ahrefs, Semrush, DataForSEO, Screaming Frog and Chrome DevTools document about data, sign-in and limits.
Continuous SEO analysis with an AI agent
Data windows, a daily health check, weekly movers, monthly decisions, failure alerts and an output contract for scheduled reports.
SEO reporting from Search Console: four routes
Looker Studio, BigQuery export, the API and manual export compared by documented limits, why site and URL tables differ and how to reconcile a report.
AI tools for GA4 and Search Console: four layers
Google’s built-in AI, assistants, answer trackers and AI visits separated by what each measures, with documented limits and a page-level join.
Install OpenClaw skills and MCP servers safely
A vetting workflow from the documented commands: reading before enabling, name shadowing, lock files, transport settings and read-only tool filters.
ChatGPT apps and plugins for marketing data
What OpenAI documents: the four permission settings, what apps can see, training use by plan and a checklist before you connect.
Make analysis repeatable
Move from one-off checks to monitoring, reporting and shared decisions.
Build a monitoring routine
Use saved filters, annotations, index tracking and alerts so important changes surface automatically.
Join GSC and GA4
Keep Search Console clicks separate from Analytics sessions while using both sources to explain landing-page outcomes.
Share with a team
Invite users, share saved reports and export the right grain without exposing unrelated properties.
Use SEOKit from an AI client
Connect through MCP with explicit scopes and ask source-aware questions without copying credentials into prompts.
Ready to work with your own data?
Connect Search Console and use the same reports described in every learning track.