SleekView for ACF Content Analysis: scan results as filterable tables
ACF Content Analysis writes per-post scan results into wp_postmeta under namespaced keys, so the analysis lives on each post and never aggregates. SleekView aggregates those keys into one filterable table so editorial can clear warnings in bulk.
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Stop opening posts one by one to clear ACF analysis warnings
ACF Content Analysis runs Yoast or RankMath-style readability and SEO checks against the values pulled out of ACF fields and stores the results in wp_postmeta. Each post ends up with several analysis meta keys: focus keyword presence, field-length checks, internal-link counts, missing alt text, and so on. The post edit screen reads these keys back nicely for a single post, but the admin list shows none of them, so editors open every post to find out which ones still have warnings.
SleekView reads the analysis meta keys directly and pivots them into proper columns. Each post becomes one row with the scan score, the warning count, the focus keyword, and any missing-field flags shown side by side. Sort by score to find the worst-performing posts, filter by warning type to focus on a single problem, and inline-edit the focus keyword or alt-text fields through ACF's own update_field() so the analysis re-runs on save.
Saved views per role let editors see only the columns relevant to their slice: SEO leads track scores, content leads track warning counts, copy editors track readability flags. Combined with native columns like author, date, and post status, the table becomes the operational dashboard that the post edit screen never could.
Workflow
From per-post scans to one editorial table
Pick the post type
wp_postmeta and offers each as a candidate column.
Compose columns
wp_posts.
Save views per role
Clear in bulk
update_field(). The analysis hook re-runs and the score column refreshes in place without leaving the table.
Sample columns
Scan results across published posts
wp_postmeta (ACF Content Analysis namespaced keys) + wp_posts
| Post title | Focus keyword | Score | Warnings | Last scanned | Status |
|---|---|---|---|---|---|
| Studio launch guide | studio setup | 82 | 1 | Apr 21 | Good |
| Pricing comparison | pricing plans | 68 | 3 | Apr 19 | Needs work |
| Old changelog | 21 | 8 | Jan 04 | Critical | |
| FAQ rewrite | common questions | 76 | 2 | Apr 22 | Good |
Comparison
Default ACF Content Analysis admin vs SleekView
Default ACF Content Analysis admin
- Scan results are only visible on each post's edit screen
- No cross-post score or warning aggregation
- Bulk-clearing a single warning type across posts requires custom code
- Sort and filter on score or warning count are not available in the list table
- Stale scan results are invisible until someone opens the post
SleekView
- Pivot scan results into one sortable table per post type
- Filter by warning type, score range, or last-scanned date
-
Inline-edit focus keyword and alt-text via
update_field() -
Combine analysis columns with native
wp_postsfields - Save per-role views so SEO leads, editors, and copy editors see their slice
Features
What SleekView gives you for ACF Content Analysis
Score in a column
The analysis score from wp_postmeta becomes a sortable column. Find the lowest-scoring posts in seconds and route them for review.
Warning type filter
Filter by warning category (missing keyword, short field, missing alt) so each editor can focus on the slice they're responsible for clearing.
Re-scan on save
Inline edits go through ACF's update_field() which re-triggers the content analysis hook so the score updates without a page refresh.
Audience
Who uses SleekView for ACF Content Analysis
SEO leads
Track focus-keyword presence and score across the whole content library. Sort by score ascending to find the highest-impact posts to improve next.
Content editors
Clear missing-field warnings in bulk before publish. Inline-edit through ACF so the analysis re-runs and the warning count drops in place.
Editorial managers
Spot stale scans and unaudited posts using last-scanned filters. Saved views per author show who has cleared their queue and who needs help.
The bigger picture
Why ACF Content Analysis needs an aggregated view
Content analysis tools are most valuable when teams can see results across the whole content library, not just one post at a time. ACF Content Analysis runs perfectly well on a single post inside the editor, attaching scores and warnings to meta keys that the post edit screen renders back as a sidebar. The problem is everywhere else.
The admin list table shows none of the analysis columns by default, sort and filter on score or warning count do not exist, and bulk-clearing a single warning type across hundreds of posts requires custom WP-CLI work. SEO leads and content editors fall back to spreadsheets they maintain by hand, which means the analysis layer is doing real work that no one can see. SleekView reads the analysis meta keys and pivots them into a sortable, filterable, inline-editable table.
Score becomes a column, warning categories become columns, focus keyword becomes a column, and edits routed through ACF cause the analysis to re-run on save. The scoring engine stays where ACF Content Analysis put it; the operational view that turns scoring into editorial action finally lives in WP Admin.
Questions
Common questions about SleekView for ACF Content Analysis
ACF Content Analysis integrates with Yoast and RankMath. SleekView reads whichever engine wrote the results to wp_postmeta, so the source plugin choice does not change the table view. Both engines write their results to namespaced meta keys that SleekView can surface.
Yes. Edits route through update_field(), which fires the same save hook the post edit screen does, and the content analysis runs on that hook. The score and warning columns refresh inline once the analysis completes.
Yes. Each warning type stored in wp_postmeta becomes its own filterable column. Filter to posts with the 'short alt text' warning and clear them in one session without opening any other post.
Yes. Any post type configured for content analysis appears as a SleekView source. The columns available depend on the ACF field group bound to that post type and the analysis rules registered for it.
 
SleekView reads whichever values are currently in wp_postmeta. If the underlying analysis stores historic scores in additional meta keys, those become available as columns; if not, only the current score is shown.
Yes. SleekView records a conflict marker if two editors touch the same field on the same post within the same minute, and surfaces the marker as a warning in the cell. The most recent save wins and the conflicting edit is preserved as a comment on the post for review.
 
Scan results live in wp_postmeta and are covered by the standard WordPress personal-data export tool when they are attached to a user-owned post. SleekView's CSV export respects the current filters and column order.
Yes. WPML and Polylang attach translations as separate post records, and SleekView builds a column for the language code so editors can filter to one language at a time or compare scores across translations of the same source post.
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