✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekView Charts for Frase

SleekView Charts reads the per-post Frase meta (topic score, brief id, target keyword) directly from wp_postmeta, and renders the optimisation backlog as Number, Pie, Bar and Area cards rather than a one-post-at-a-time meta box.

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SleekView Charts dashboard for Frase

One post, one score is not a programme

Frase lives mostly in the cloud, but its WordPress integration writes a small, useful trail on every post connected to a brief: a topic score, a target keyword and a brief id linking back to the Frase document. The standard editor shows that trail one post at a time. The Posts screen does not show it at all. After six months, the team has hundreds of optimised posts and no aggregate view of how well-optimised the catalogue actually is.

SleekView Charts reads the same meta keys directly. A Number card averages topic score across published posts. A Pie buckets posts into score bands (under 50, 50-70, 70-85, 85+). A Bar groups posts by target keyword cluster. An Area trends average score over time, which is the only honest way to tell whether the optimisation programme is improving the catalogue or just adding to it.

The aim is not to replicate Frase's research workspace. The aim is to surface, in WordPress, what Frase's WordPress integration already writes, and to render it as a dashboard editorial leads can govern from.

Workflow

Turn Frase's post meta into a dashboard

1

Pick the source posts

Choose the post types you connect to Frase briefs (usually post, sometimes a custom content type). SleekView surfaces standard columns plus the Frase meta keys (_frase_topic_score, _frase_brief_id, _frase_target_keyword) you can group by.
2

Compose the chart cards

Pick Number, Pie, Bar, Area, Line, Radar or Radial cards. Group by score band, target keyword, brief id, author or post_date, and aggregate as Count, Sum, Average, Minimum or Maximum.
3

Save and scope the dashboard

Name it ("Catalogue optimisation health", "Briefs in progress") and gate it by WordPress capability so writers, leads and SEO ops each see the slice they need.
4

Share with stakeholders

Send a read-only URL or export the filtered set to CSV. Monthly SEO reviews get a measurable catalogue score, not a stack of per-post screenshots.

Sample dashboard

Charts you can build from Frase data

Each card reads from the WordPress posts and meta Frase's connector writes. Mix them for a topic score dashboard, a brief queue cockpit or a keyword coverage view.
Number · Default

Average topic score

Single KPI averaging the Frase topic score across all published posts connected to a brief. The catalogue health number to anchor reviews on.
Average(_frase_topic_score)
Pie · Donut text

Posts by score band

Posts bucketed into under 50, 50 to 70, 70 to 85 and 85+. Surfaces how many posts are genuinely well optimised vs riding along under the radar.
Count group by score_band
Bar · Horizontal

Posts per keyword cluster

Posts grouped by Frase target keyword (or cluster). Reveals coverage gaps and over-served clusters before the next content sprint.
Count group by _frase_target_keyword
Area · Gradient

Average score over time

Time series of average topic score by publish month. The only honest test of whether the optimisation programme is improving the catalogue.
Average(_frase_topic_score) group by post_date

Comparison

Default Frase reporting vs SleekView Charts

Default Frase reporting

  • Frase reports per-brief and per-document, not per-WordPress-catalogue
  • WP Posts screen does not surface topic score, brief id or target keyword at all
  • No score band split or coverage view across the catalogue
  • No time series of average topic score by publish month inside WP
  • No way to share a read-only optimisation snapshot outside the brief workspace

SleekView Charts

  • KPI for average topic score across the WordPress catalogue
  • Pie split of posts into under 50, 50-70, 70-85, 85+ score bands
  • Bar of posts per target keyword cluster for coverage planning
  • Area trend of average topic score over time as a programme metric
  • Filters carry between table view and chart view on the same dataset

Features

What SleekView Charts gives you for Frase

Catalogue, not just one brief

Render every post connected to a Frase brief as Number, Pie, Bar and Area cards, so SEO leads see catalogue health rather than per-post scores in isolation.

Filters span table and chart

Filter to a single keyword cluster or a score band, and both the chart cards and the audit table stay in sync. Same meta, same dataset, two ways of reading it.

Share a read-only snapshot

Send stakeholders a URL of the optimisation dashboard or export the filtered set to CSV. Monthly reviews get a measurable score, not a vibe.

Audience

Who builds Frase charts dashboards with SleekView

SEO leads

Anchor monthly reviews on average topic score, watch the score band split for catalogue health and use the time series to confirm optimisation is compounding.

Content editors

Group posts per target keyword cluster to plan the next sprint, spot duplicated coverage and decide which underperforming posts deserve a Frase refresh.

Programme owners

Scope the dashboard to a single keyword cluster and report progress with a count, score band split and trend instead of per-post screenshots.

The bigger picture

Why optimisation needs a catalogue view, not a per-post view

Frase's per-post score is useful while a writer is working on that post, but optimisation programmes are catalogue-level questions. A team can ship dozens of well-scored posts and still have a catalogue average dragged down by older content that was never refreshed. The default WordPress admin records none of this.

The Posts screen has no column for topic score, no concept of a score band and no view of average score over time. SleekView Charts reads the same Frase meta the editor already writes, surfaces it as Number, Pie, Bar and Area cards, and turns a brief tool into a catalogue governance tool. SEO leads stop arguing about anecdote and start arguing about the average.

That is the only conversation worth having.

Questions

Common questions about SleekView Charts for Frase

The Frase meta keys written on each post by the WordPress integration (primarily topic score, target keyword and brief id), plus standard wp_posts columns like post_status, post_author and post_date. SleekView never calls Frase's API and never reaches into the cloud workspace.

 

No. Frase's workspace is where briefs and SERP research happen. SleekView Charts is where the WordPress catalogue is governed against those briefs once the posts ship. They cover different stages of the same workflow.

 

Yes. Group by post_date with an Area or Line card and aggregate Average on the topic score meta key. The trend is by publish month or week, which is the honest unit for an optimisation programme.

 

If no Frase meta is written to wp_postmeta there is nothing to chart. The dashboard exists for teams that already connect Frase briefs to WordPress posts. The richer the meta trail, the richer the dashboard.

 

Yes. The chart cards and the table view sit on the same dataset, so filtering to one keyword cluster or one score band narrows both surfaces at once. Writers can pivot from a chart band into the row-level audit without rebuilding the filter.

 

Yes. If the team connects Frase briefs to a knowledge base or a learning post type as well as standard blog posts, group the dashboard by post_type as a column or scope each card to one type. The cards adapt to the actual content model.

 

Yes. Any filtered set behind a chart card exports as CSV with the same columns the table view shows. SEO leads use this to share quarterly optimisation reports or to brief an external SEO consultant before a focused refresh sprint.

 

No. SleekView edits affect WordPress only, via standard hooks. The Frase document remains the source of truth for the brief itself, and changes to the WordPress copy do not flow back into the brief. WP is the system of record for what is published.

 

Pricing

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