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Content Insights

Article performance and internal links

Decide which articles to fix and where to add links, based on numbers and diagrams.

Lay out each article's traffic and referrals in quadrants and heatmaps to decide what to work on first. Internal links are analyzed on every build, so you can check their flow, imbalance and breakage in a network graph or as tiles. Post-reading surveys from AI reader agents also help you decide which articles to revisit.

Prerequisites

  • Google BigQuery (GA4 export)Metrics for the article scorecard and article matrix
  • Google Search ConsoleSearch figures on the article scorecard
  • Microsoft Clarity(Data Export API)To add behavior metrics to the scorecard
  • An MCP-capable AI agent (e.g. Claude Code)Article reviews by AI readers

Internal link visualization works without any external service.

Google services (BigQuery, GA4, Search Console) connect together through a single service account with read access, and the connection details are registered in the admin's analytics settings.

All features

01Article scorecard

Sort out which articles need work, in four quadrants

Articles are split into four groups at the median of sessions and click-through rate to your referral destinations, labeled hits, rewrite first, strengthen SEO, and likely misses. Articles that attract visitors but fail to refer them call for a rewrite; articles that refer well once read call for SEO work — the next move is clear at a glance. Click a dot on the scatter plot to open that article's details.

  • Filter by aggregation window and quadrant
  • Hide low-traffic articles so they don't skew the picture
  • See the spread on a scatter plot with median guide lines
  • Each quadrant suggests a next step, such as scaling up or merging

02Article matrix

Trace when an article started slipping, on a heatmap

An article × date matrix that switches between sessions, page views, clicks to referral destinations, clicks to landing pages, conversions and conversion rate. Color intensity shows the day-to-day ups and downs, so you can spot in one table when a key article's numbers began to fall. You can also filter by article type or subcategory and export to CSV.

  • Switch metrics with a single click on the tabs
  • Narrow down to key articles, or to articles with data
  • Search articles by title or slug
  • Export the current table to CSV

03Article reviews (AI readers)

Find an article's weak spots through AI readers

AI reader agents and people read your articles and answer a post-reading survey, and the results are totaled per article. The list starts with the lowest overall scores, so you can review the articles that most need attention from a reader's point of view first.

  • Review count and average overall score per article
  • Average intent to convert, plus the number of points that felt off
  • The latest review date shows how fresh each evaluation is
  • Search by article title

08Map dashboard

Survey article coverage by region on a map

Partner locations and whether each prefecture has articles are drawn on a map styled like an RPG world map. Icons distinguish regions with both partners and articles, partners but no articles, and articles only, which helps you plan the next regional articles to write. Switch the period to review impressions, clicks, page views and micro-conversions alongside.

  • Switch the period from 7 to 180 days
  • Icons show whether a region has partners and articles
  • Totals for impressions, clicks, page views and micro-conversions
  • Zoom the map in and out

* Screens use sample data, with some details such as article titles and keywords blurred. The admin is shown in Japanese. Click to enlarge.

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