SleekView Charts for Surfer SEO
SleekView Charts reads the Surfer meta written on each connected post (content score, target keyword, audit run id) directly from wp_postmeta, and renders the optimisation catalogue as Number, Pie, Bar and Area cards.
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A Surfer score per post does not answer programme questions
Surfer SEO's Content Editor and Audit run in the cloud. Its WordPress integration writes a small set of meta keys on each connected post: the content score, the target keyword and the audit run id. The Gutenberg sidebar shows that data for one post. The Posts screen does not surface it. Surfer's own dashboard reports on Content Editor and Audit usage, not on the WordPress catalogue that results.
SleekView Charts reads the same WordPress meta the Surfer integration writes. A Number card averages content score across published posts. A Pie buckets posts into score bands. A Bar groups posts by target keyword. An Area trends average score over publish month so the SEO programme has a measurable improvement curve, not a feeling.
We do not claim to surface Surfer's NLP terms, SERP analysis or audit recommendations. Those live in Surfer. SleekView reports on the WordPress slice: the scores and keywords the connector writes, plus the lifecycle the posts go through inside WP.
Workflow
Turn Surfer's post meta into a dashboard
Pick the source posts
Compose the chart cards
Save and scope the dashboard
Share with stakeholders
Sample dashboard
Charts you can build from Surfer SEO data
Average content score
Average(_surfer_content_score)
Posts by score band
Count
group by score_band
Posts per target keyword
Count
group by _surfer_target_keyword
Average score over time
Average(_surfer_content_score)
group by post_date
Comparison
Default Surfer reporting vs SleekView Charts
Default Surfer reporting
- Surfer reports per-document and per-audit run, not per-WordPress-catalogue
- WP Posts screen does not surface Surfer score or target keyword at all
- No score band split or coverage view across the live catalogue
- No time series of average content score by publish month inside WP
- No read-only optimisation snapshot to share outside Surfer's app
SleekView Charts
- KPI for average Surfer content score across the WordPress catalogue
- Pie split into under 50, 50-70, 70-85, 85+ score bands
- Bar of posts per target keyword for coverage planning
- Area trend of average score over publish month for programme reporting
- Same dataset behind the table and chart views, with shared filters
Features
What SleekView Charts gives you for Surfer SEO
Catalogue, not just one document
Render every post Surfer has scored as Number, Pie, Bar and Area cards, so SEO leads see catalogue health rather than per-post Surfer scores in isolation.
Filters span table and chart
Filter to a single keyword or score band and both the chart cards and the audit table narrow together. Same meta, same dataset, two surfaces.
Share a read-only snapshot
Send a stakeholder a URL of the catalogue dashboard or export the filtered set to CSV. SEO reviews get an aggregate, not a screenshot stack.
Audience
Who builds Surfer SEO charts dashboards with SleekView
SEO leads
Anchor monthly reviews on average Surfer score, watch the band split for catalogue health and use the time series to confirm the programme is compounding.
Content editors
Group posts per target keyword to spot duplicates, plan the next sprint and prioritise which underperforming posts deserve a Surfer audit pass.
Programme owners
Scope the dashboard to a single keyword cluster and report progress with a count, band split and trend instead of pasting Surfer screenshots.
The bigger picture
Why a per-post score is the wrong unit for an SEO programme
Surfer's per-post score earns its keep while a writer is closing a piece. After the post ships, the question becomes catalogue-level: average score across published content, score band distribution, coverage concentration by keyword, improvement over time. None of those questions get a real answer from the standard WordPress admin or from Surfer's own dashboards, because each tool is designed for the stage it owns.
SleekView Charts reads the same meta the Surfer integration writes, renders it as Number, Pie, Bar and Area cards and turns a per-post score into a programme metric. The conversation shifts from "this post scored 78" to "the catalogue averages 71 and is trending up two points per quarter". That is the conversation worth having.
Questions
Common questions about SleekView Charts for Surfer SEO
The Surfer meta keys written on each connected post (content score, target keyword, audit run id) plus standard wp_posts columns like post_status, post_author and post_date. SleekView never calls Surfer's API and never reaches into the Surfer cloud.
No. Surfer's Content Editor and Audit are where individual posts get researched and scored. SleekView Charts governs the WordPress catalogue those posts ship into. They are different stages, not competing tools.
Yes. Group by post_date with an Area or Line card and aggregate Average on the Surfer content score meta key. The result is the catalogue's score by publish month.
If no Surfer meta is written to wp_postmeta, there is nothing on the WordPress side to chart. The dashboard exists for teams that connect Surfer documents to WordPress posts via the integration. The richer the meta trail, the richer the dashboard.
Yes. The chart cards and the table view share the same dataset. A filter for one keyword, or for the under-50 score band, narrows both surfaces. Editors pivot from a chart into a row-level audit without rebuilding the filter.
Yes. Any filtered set behind a chart card exports as CSV with the same columns the table view would show. SEO leads use this for quarterly programme reporting or to brief external editors before a refresh sprint.
Yes. If the team uses Surfer on a knowledge base or learning post type alongside standard posts, group the dashboard by post_type or scope each card to a single type. The cards adapt to the content model.
No. SleekView edits go through standard WordPress hooks and affect WordPress only. The Surfer document remains the source for the optimisation recommendations. WP is the system of record for what gets published.
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