SleekView for MarketMuse
SleekView reads wp_posts plus the MarketMuse meta keys (_mm_content_score, _mm_target_score, _mm_topic_model_id) and surfaces them as sortable, filterable, inline-editable columns rather than an Optimize sidebar.
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Two scores per post deserve two columns
MarketMuse's Optimize app gives a writer a content score and a target. Its WordPress integration writes both numbers, plus the topic model id, on the connected post. The Optimize sidebar surfaces them for one post. The Posts screen surfaces neither, which means the most useful pair of numbers MarketMuse produces never makes it into the WordPress admin where the catalogue lives.
SleekView reads wp_posts joined to wp_postmeta and exposes those MarketMuse keys as real columns. Show content score and target score side by side, sort by the gap between them, filter to one topic model and inline-edit reviewer-assignment meta across many rows.
Scope is honest: MarketMuse's Briefs, Optimize and topic research stay in MarketMuse. SleekView surfaces the WordPress-side data the integration writes and makes the catalogue operable as a list.
Workflow
How SleekView reads your MarketMuse data
Pick the source post types
Compose your column set
Save and scope the view
Edit inline and ship
Sample columns
A typical MarketMuse audit view
wp_posts + wp_postmeta (MarketMuse meta keys)
| Title | Content score | Target score | Topic model | Status | Updated |
|---|---|---|---|---|---|
| Account-based marketing intro | 38 | 42 | tm-abm-014 | Publish | Apr 22 |
| Email deliverability checklist | 26 | 40 | tm-email-021 | Publish | Apr 18 |
| Saas trial conversion guide | 14 | 38 | tm-conv-009 | Publish | Apr 11 |
| Demand gen vs lead gen | 30 | 41 | tm-demand-016 | Draft | Apr 24 |
Comparison
Default WordPress Posts vs SleekView for MarketMuse
Default Posts screen
- Posts screen does not surface content score, target score or topic model id
- No way to sort the catalogue by gap between content and target score
- Filtering limited to status, author and date, no topic model filter
- Bulk edit covers categories and author, not MarketMuse meta
- Refresh queues live in spreadsheets exported from MarketMuse's app
SleekView
- Surface _mm_content_score, _mm_target_score and _mm_topic_model_id as real columns
- Sort by gap to target in one click using both score columns side by side
- Filter to a single topic model or score band for refresh planning
- Inline-edit reviewer and status meta across many rows at once
- Save named per-role views with their own column sets
Features
What SleekView gives you for MarketMuse
Custom columns per view
SEO leads, writers and editors each get their own column set. One view foregrounds content and target score, another shows topic model and reviewer.
Inline-edit without opening posts
Update status, reassign editors, edit MarketMuse reviewer meta directly in the row. Bulk-update dozens of posts in seconds with save_post firing as expected.
Compose precise filters
Combine topic model, score band, status, author and date range. Save the filter as a named view ("Wide gap to target") your team reuses each sprint.
Audience
Who uses SleekView for MarketMuse
SEO leads
Sort the catalogue by gap to target, scan the widest-gap rows for refresh candidates and bulk-assign reviewers in one pass.
Content editors
Filter to one topic model to plan refreshes, surface duplicate topical coverage and pick which underperforming posts deserve an Optimize pass.
Programme owners
Scope the view to one topic model and export the filtered set to CSV for external editor briefs or quarterly programme reporting.
The bigger picture
Why gap to target deserves a column, not a sidebar
MarketMuse already ships the two numbers that matter on every connected post: a content score and a target score. The interesting metric is their gap, and the interesting unit is the catalogue, not the document. A site can ship dozens of well-optimised posts and still carry a long tail of wide-gap posts that the default Posts screen never surfaces.
SleekView reads both numbers from wp_postmeta, exposes them as columns and lets editors sort by the gap directly. The shift from per-document sidebar to catalogue list is what turns an Optimize score into a refresh queue.
Questions
Common questions about SleekView for MarketMuse
Standard wp_posts rows joined to wp_postmeta for the MarketMuse keys the integration writes (content score, target score, topic model id) plus standard wp_posts columns. SleekView never calls MarketMuse's API directly.
Yes. SleekView writes through wp_update_post and update_post_meta, so save_post, transition_post_status and notification hooks fire normally. Bulk operations iterate through the same path so side effects stay identical.
Yes. Add both content score and target score columns and the agent UI can derive a per-row gap (target minus content). Sort or filter on the derived column to surface the widest-gap posts without an external spreadsheet.
No. Optimize and Briefs are where individual posts get researched and scored. SleekView surfaces the WordPress catalogue those posts ship into and makes it operable as a list. Different stages of the same workflow.
Yes. The agent UI scans wp_postmeta for MarketMuse keys actually present in the install and lists them, so you pick from a real menu rather than guessing names.
Queries hit indexed wp_posts columns plus indexed meta-key joins. Filters and sorts ride those indexes; heavy aggregations are opt-in. The default list stays fast on installs with thousands of MarketMuse-connected posts.
If no MarketMuse meta is written to wp_postmeta, there is nothing on the WordPress side to surface. SleekView is built for teams that already connect MarketMuse documents to WordPress posts.
No. SleekView edits affect WordPress only via standard hooks. The MarketMuse document remains the source for the recommendation. WP stays the system of record for what publishes.
Pricing
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SleekAI
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SleekByte
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SleekMotion
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SleekPixel
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SleekRank
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SleekView
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