(LLMO) SEO indexing on XenForo 2.3.7

[Roiarthur]

What do you think of LLMO Pro JSON-LD

The ADD-ON is ready and test

I install LLMO Pro JSON-LD Fully Operational and Confirmed LLMO-Ready

After extensive testing, I can confirm that the Acme LLMO Pro JSON-LD 1.0.6 add-on is fully functional and perfectly suited for AI-driven (LLMO) SEO indexing on XenForo 2.3.7.

Combined with two complementary template scripts placed in the PAGE_CONTAINER, the add-on now provides a complete, standards-compliant semantic markup structure for LLM-optimized discovery.

Test Overview

The validation process was performed under PowerShell 7.5 using the official XenForo front-end as rendered to search engines.
A simulated Googlebot user agent was used to request the forum thread page directly from the server, ensuring only server-side JSON-LD output was analyzed (no JavaScript rendering involved).

Example command:
(Invoke-WebRequest -Uri "https://www.example.com/threads/sample-thread" -Headers @{"User-Agent"="Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)"}).Content |
Select-String '"@type"\s*:\s*"[^"]+"' -AllMatches |
ForEach-Object { $_.Matches.Value } | Sort-Object -Unique

This inspection revealed the following schema types:

DiscussionForumPosting — main entity of each thread (core SEO component)

Organization, Person, InteractionCounter, and WebPage — auxiliary structures identifying the site, author, and engagement metrics

plus, the two additional scripts introduced below.

 

[Roiarthur]

Understanding LLMO — The Next Step in SEO Evolution

The web is entering a new era of search. Traditional SEO (Search Engine Optimization) was built around how algorithms index, rank, and display websites. But as Large Language Models (LLMs) like ChatGPT, Gemini, and Claude begin to drive discovery, content now needs to be optimized not just for search engines, but for understanding.
This new discipline is called LLMO — Large Language Model Optimization.

From Keywords to Context

Classic SEO focuses on keywords, backlinks, and metadata.
LLMO focuses on context, structure, and meaning.

When an LLM crawls your site, it doesn’t just parse HTML — it builds a semantic map of what your content means. It uses structured data, schema.org markup, and relationships between entities (people, products, organizations, topics) to answer questions intelligently.

By optimizing for LLMs, your site becomes easier for AI systems to interpret, summarize, and recommend.

Key Advantages of LLMO
1. Future-Proof Visibility

Search results are no longer limited to the “ten blue links.” LLMs power AI overviews, smart snippets, and contextual recommendations.
Sites with clean semantic markup (via JSON-LD, Schema.org, and structured metadata) are far more likely to appear in these new “answer layers.”

2. Better Content Discovery by AI Agents

AI assistants and chat-based engines (like Bing Copilot, Google Gemini, or Perplexity) rely heavily on structured data.
LLMO ensures your pages are machine-readable, allowing LLMs to retrieve and quote your information accurately when generating answers.

3. Enhanced Trust and Credibility

Well-structured pages using JSON-LD markup clearly identify who wrote the content, when it was updated, and what entities it relates to.
This transparency improves credibility and helps AI models evaluate source reliability, a key factor in LLM-based ranking systems.

4. Increased User Engagement

By improving how your content is summarized and presented in AI-generated responses, LLMO can significantly increase your click-through rates.
If an AI assistant understands your page perfectly, it’s more likely to recommend your resource as the authoritative answer.

5. Stronger Knowledge Graph Integration

LLMO connects your site directly to the semantic web.
When your entities (brand, forum, people, products) are properly tagged with @type schemas, they can be linked into Google’s Knowledge Graph and similar systems used by large models for reasoning and association.

How to Implement LLMO

Adopt JSON-LD Schema Markup
Use Schema.org vocabulary to define your site structure (WebSite, WebPage, Organization, Article, DiscussionForumPosting, etc.).

Ensure Clean, Server-Side Injection
Data must be visible in raw HTML (not dynamically added by JavaScript).

Use Consistent Entity Definitions
Keep organization name, URLs, and social links consistent across all pages.

Validate Regularly
Test your structured data using Google’s Rich Results Test
or tools like PowerShell and CURL with Googlebot headers to confirm proper visibility.

The Bottom Line

LLMO is not replacing SEO — it’s extending it.
Where SEO tells search engines what your content says, LLMO tells AI systems what your content means.

Communities and websites that adopt structured data early will dominate AI-driven discovery. By preparing your XenForo forum with Acme LLMO Pro JSON-LD and complementary schema scripts, you’re not just improving search visibility — you’re ensuring your site is understood by the next generation of intelligent web crawlers.

 

[Roiarthur]

"I ran a check on my website using the LLMO addon to make sure everything was working properly—and it is! Zero errors."

 

[Roiarthur]

If someone waht to try it, here is my addon

 

[PhineasD]

If someone waht to try it, here is my addon

Cannot process src.zip: The archive does not appear to have a valid addon file as expected.

 

[Roiarthur]

Cannot process src.zip: The archive does not appear to have a valid addon file as expected.

Download the new version and upload the folder Acme in /src/addons/

Acme/LimoPro/ must be upload in src/addons/

 

[Roiarthur]

It works for me, just a message at the beginning of the installation that has no consequences

 

[Roiarthur]

I need to make some change