Is the Internal Link Cluster Generator Worth It? Expert PLR Review & Verdict

GPT #1 creates the articles and the supporting content.
GPT #2 builds the link clusters and writes the cluster articles.

Both run deep web research first, so the content stays grounded.

You end with a complete cluster package you can deploy, sell, or hand to clients.

GPT #1 — AI Content Generator

Step 1 — Set the campaign target
Enter your niche, topic, and audience.
Choose the monetization goal, like AdSense.

Step 2 — Run deep web research
It researches the topic before writing.
It pulls angles, facts, and supporting points.
It uses that to prevent “AI filler” content.

Step 3 — Create the researched eBook
It writes a full eBook you can brand.
This becomes your authority asset.

Step 4 — Write 5 linked long-form articles
It generates five long-form posts around the same topic.
They’re built to connect, not drift.
Each one supports the main theme.

Step 5 — Create social promotion content
It generates 25 social posts for distribution.
These push attention back to your content.

Step 6 — Create YouTube packages
It generates 25 YouTube scripts and descriptions.
These give you fast video content angles.

Step 7 — Deliver the full package
You get the eBook, articles, and promotion assets.
You can deploy, bundle, resell, or giveaway.

Step 1 — Paste your main article
You drop in one main article.
That becomes the cluster “hub” content.

Step 2 — Convert the main article to clean HTML
It outputs clean HTML for publishing.
No messy formatting.
No broken structure.

Step 3 — Extract subtopics and gaps
It identifies what readers want next.
It pulls problems implied by the main article.

Step 4 — Run deep research for the cluster
It researches the full topic cluster.
It uses that research to avoid invented details.

Step 5 — Creates 5 supporting articles
Each supporting article solves a clear implied problem.
Each targets a distinct keyword cluster.
No overlap.
No duplicates.

Step 6 — Build the internal linking plan
It plans links from the main article to each support.
It also plans cross-links between supports.
Anchors stay descriptive and natural.

Step 7 — Write the 5 supporting long-form articles
It writes each article in full.
They match the hub topic and intent.

Step 8 — Add on-page structure that helps rankings
It includes a table of contents when needed.
It includes FAQ sections when relevant.
It includes checklists when helpful.

Step 9 — Add JSON-LD schema when appropriate
Schema goes inside proper script blocks.
It stays clean and publish-ready.

Step 10 — Insert internal-link placeholders
It embeds placeholders inside the main article HTML.
It shows exactly where each link goes.
You swap URLs when you publish.

Step 11 — Output the deployable cluster set
You get the hub HTML plus five supporting HTML pages.
You also get the linking placement baked in.