SleekView Charts for WordLift
SleekView Charts reads WordLift's entity custom post type, its schema_jsonld meta and the entity-to-post relations directly from wp_posts and wp_postmeta, and renders the graph as Number, Pie, Bar and Area cards.
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A knowledge graph is a population, not a single entity
WordLift is unusual among AI/SEO tools because it stores real data in WordPress. Entities live as their own custom post type (entity), each post carries schema.org JSON-LD as postmeta, and entity-to-post annotations are kept as standard wp_posts and wp_term relationships. The result is a WordPress-side knowledge graph that is genuinely on disk in WP.
SleekView Charts reads that graph directly. A Number card counts published entities. A Pie groups entities by schema.org type (Person, Organization, Place, CreativeWork, Product). A Bar groups posts by primary schema type. An Area trends entity creation over time so SEO leads can see whether the graph is growing or quietly frozen.
Honest scope: WordLift's natural language analysis, entity linking and cloud-side reasoning stay in WordLift. SleekView reports on what the plugin has already materialised in WordPress: the entity post type, the schema meta and the annotations. That is a real and useful data surface, far more substantial than most AI/SEO tools leave behind in WP.
Workflow
Turn WordLift's entities and schema 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 WordLift data
Published entities
Count
Entities by schema type
Count
group by entity_type
Posts per primary entity
Count
group by primary_entity
Entities added over time
Count
group by post_date
Comparison
Default WordLift admin vs SleekView Charts
Default WordLift admin
- Entity list shows title and type with no view of totals or schema split
- No visual breakdown of entities by schema.org type or relation density
- No time series of entity creation rate to spot a stalling graph
- Post-to-entity annotations stay invisible at any aggregate level
- No way to share a read-only graph health snapshot outside the WordLift admin
SleekView Charts
- KPI for published entity posts across the WordPress install
- Pie split of entities by schema.org type (Person, Organization, Place and more)
- Bar of posts grouped by their primary annotated entity
- Area trend of entity creation over time for graph health checks
- Same dataset behind the table and chart views, with shared filters
Features
What SleekView Charts gives you for WordLift
Graph health as a dashboard
Render the entity post type and schema meta as Number, Pie, Bar and Area cards. SEO leads see the shape of the knowledge graph, not just an entity list.
Filters span table and chart
Filter to entities of a specific schema.org type and both the chart cards and the audit table narrow together. Same data, two surfaces.
Share a read-only snapshot
Send a stakeholder a URL of the graph dashboard or export the filtered set to CSV. Quarterly graph reviews argue about counts, not vibes.
Audience
Who builds WordLift charts dashboards with SleekView
SEO leads
Track published entity counts as a KPI, watch the schema type split for balance and use the time series to confirm the graph is still growing rather than frozen.
Graph editors
Group posts per primary entity to find orphan entities, balance annotation coverage and decide which entities deserve enrichment before a schema audit.
Schema programme owners
Scope the dashboard to one schema.org type and report graph growth with a count, sub-type split and trend instead of clicking through the entity list.
The bigger picture
Why a knowledge graph needs a dashboard, not an entity list
Most AI/SEO tools leave almost nothing behind in WordPress, which makes a WordPress-side dashboard about them inherently narrow. WordLift is different. It materialises a real knowledge graph: an entity post type, schema.org JSON-LD on every annotated post and a network of relations that lives in standard WP tables.
That graph is exactly the kind of structured asset that deserves governance, and the default entity list is exactly the wrong surface for it. SleekView Charts reads the same posts and meta and turns the graph into a small dashboard: total entities, schema type split, posts per primary entity, entity growth over time. SEO leads stop arguing about whether the graph is healthy and start arguing about specific counts and trends.
That is what a structured-data programme should look like.
Questions
Common questions about SleekView Charts for WordLift
The WordLift entity custom post type plus the schema-related postmeta WordLift writes (entity_type, schema_jsonld, sameAs and friends), plus standard wp_posts columns like post_status, post_author and post_date. SleekView never calls WordLift's cloud API directly.
No. WordLift's entity recognition, linking and cloud-side reasoning are the source of the graph. SleekView Charts governs the WordPress-side surface those processes produce. They cover different stages of the same workflow.
Yes. Group by post_date on the entity post type with an Area or Line card and aggregate Count. The result is a clean monthly view of graph growth.
Yes, on the WordPress side. SleekView reads the entity post type and schema meta that the WordLift plugin writes regardless of plan tier. Cloud-side limits affect what gets written into WP, not what SleekView reports on top of it.
Yes. The chart cards and the table view share the same dataset. A filter for one schema.org type or for entities older than ninety days narrows both surfaces at once.
Yes. Any filtered set behind a chart card exports as CSV with the same columns the table view would show. Graph editors use this for quarterly graph audits and to brief external SEO consultants before a schema sprint.
Yes. WordLift annotates any post type its admin enables, and SleekView mirrors that. Group the dashboard by post_type as a column to see annotation coverage across blog posts, products and any custom content type.
Inline edits go through standard WordPress hooks (wp_update_post, update_post_meta). Edits to WordLift-written meta are persisted in WP but WordLift's cloud reasoning is the source of the underlying graph. Treat WP as the system of record for what is published and WordLift as the source for entity intelligence.
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