Your content.
Connected.
Intelligent.
Turn a collection of WordPress posts into a connected knowledge library. Understand your articles, link the right ideas, and help readers discover more.
Find the knowledge
inside every article.
Let AI surface the people, organisations, topics, and key points that give your content meaning.
Entities with context
Recognise meaningful mentions and their relevance to each post.
Topics that connect
Organise coverage into browsable topic archives, beyond ordinary tags.
The key points, at a glance
Generate concise five-point summaries and review them in your editor.
- AI can identify the subjects discussed in an article.
- Entity and topic analysis helps organise a content library.
- Semantic retrieval looks beyond exact keyword matches.
- Relevant internal links create paths to related coverage.
- Editors review the results and tune their linking rules.
Give every good idea
a path to the next one.
Build useful connections across your archive, with editorial controls that keep your linking strategy intentional.
Relevant links. In the flow of reading.
Connect entity mentions, topics, and meaningful phrases to useful destinations across your site.
A smarter way to explore your archive
As your publication grows, artificial intelligence can help readers move between ideas. Combining semantic search with editorial context makes existing coverage easier to discover.
What makes a link relevant?
Entity and topic relevance help identify useful destinations. Optional semantic linking compares the meaning of a phrase with indexed articles. You control thresholds, limits, exclusions, and presentation.
You set the rules.
Choose relevance thresholds and link density. Exclude content where needed, customise styling, and review semantic suggestions in Gutenberg or the Classic Editor.
Measure. Refine. Repeat.
Precomputed link maps and caching reduce repeated work. Click and impression analytics help you evaluate how readers use the connections you create.
A conversation with
your content library.
Help visitors find useful coverage through a configurable chatbot that retrieves your published articles.
Meaning meets freshness
Retrieval blends semantic similarity, entities, topics, and recency to rank coverage.
Your publication’s voice
Customise the name, greeting, colours, launcher, suggested topics, and article result count.
Responses use retrieved article context and your selected AI provider. Quality depends on the coverage and services you configure; article cards give readers a route to the sources.
Less fragmentation.
More editorial control.
Organise the knowledge
Manage entities and topics in dedicated dashboards. Merge duplicates, consolidate similar topics, and sync entities with WordPress taxonomy.
Work across the archive
Bulk processing, background indexing, pausable queues, link-map monitoring, and WP-CLI tools support larger content libraries.
See behind the results
Inspect AI calls, errors, timing, and available token usage. Review link analytics and diagnostics as you refine your setup.
Choose the intelligence
behind the experience.
Configure your preferred AI provider inside WordPress. NLP Wiz includes six provider integrations.
Want semantic features?
Add Vertex AI embeddings and a Pinecone or Qdrant vector store.
These optional services power vector indexing and retrieval. They require separate accounts and configuration, and may incur usage charges. Relevant content is sent to the external services you configure.
A clear path from
installation to discovery.
Configure
Activate NLP Wiz, connect an AI provider, and select the post types you want to process.
Analyse
Process sample articles. Review their entities, topics, and summaries before expanding.
Connect
Tune linking rules and build link maps. Add semantic services when you need them.
Discover
Enable the chatbot, refine its presentation, and evaluate how readers explore your coverage.
From concept to content.
DigitrendZ uses NLP Wiz to power its posts. Explore the publication to see the content in its real editorial setting.
Before you
get started.
Wiz Consults can help you choose a configuration and plan an editorial rollout.
Does NLP Wiz write new articles?
Its main purpose is to analyse and connect existing content. It generates summaries and chatbot responses, while your editorial coverage remains the foundation.
Is a vector database required?
Entities, topics, and summaries use your configured AI provider. Vector-based semantic features additionally require Vertex AI and a Pinecone or Qdrant vector store.
Can editors control the links?
Yes. Configure relevance thresholds, link limits, exclusions, and styling. Editors can also review semantic suggestions in Gutenberg or the Classic Editor.
Is the preview above a real screenshot?
No. It is an interactive interface simulation with sample data, created to explain the workflow. The chatbot panel is also illustrative and does not send messages.
How do I get access or a demonstration?
Contact Wiz Consults to discuss availability, hosting compatibility, service configuration, and a walkthrough for your website.
Your next great discovery
may already be on your website.
Bring your articles together with NLP Wiz. Let’s explore the right setup for your publication.
Built by Wiz Consults · Designed for WordPress publishers