Google doesn’t want your content—it wants your ad budget.
But large language models?
They want structure. They want clarity.
They crawl your site differently, and if you’re smart about it, they’ll surface you—even when Google won’t.
I didn’t learn that from a guide.
I found out by accident.
When Search Console Was Silent, The Bots Weren’t
My Google Search Console showed almost nothing:
- Low impressions
- Few clicks
- Posts labeled as “Discovered – currently not indexed”
But one day, I cracked open AWStats.
What I found changed everything:
GPTBot, ClaudeBot, and Perplexity were already crawling my sites.
Not because I ranked.
Not because I had backlinks.
Not because I was old.
They were there because the structure was right.

My Blog Was Too New for GPT—And Still Got Seen
EngineeredAI.net launched in December 2024.
Too late to be included in GPT-4’s training data, which ended around June 2024.
That matters.
Most blogs showing up in ChatGPT today were part of the model’s training set.
Mine wasn’t. I missed the window.
No legacy backlinks.
No aged domain.
No PR traffic spike.
But I rebuilt from the Blogorama mess into a lean, structured format using clean WordPress child themes, manual schema, and focused midform content.
Then I did this:
- Created GitHub Gists with canonical links back to the blog
- Used structured markdown formatting
- Syndicated to Dev.to, Hashnode, and LinkedIn
- Built an internal mesh across related posts
And despite launching after the GPT-4 cutoff,
LLM bots like GPTBot, ClaudeBot, and Perplexity found me anyway—through live crawling and retrieval, not pretraining.
That’s not magic.
That’s structure. And AI likes structure.
The Blogorama Mistake (And Why I Rebuilt Everything)
Before we get to what works, you need to see what went sideways first. If you’ve been paying attention to AI SEO advice or WordPress plugin hype, this won’t surprise you.
I broke it all down before—what happens when you let AI drive content without structure, when clarity gets drowned by keyword spam, and when WordPress SEO plugins promise magic but break crawlability.
- Why AI-Generated SEO Content Gets You Flagged explains how automated content triggers distrust from both humans and search engines.
- Clarity, Context, and Guts: How to Actually Rank outlines what search engines—and LLMs—actually reward.
- WordPress SEO Failures with AI Tools breaks down how plugin bloat and automation can silently kill your indexing.
Before I launched EngineeredAI.net properly, I made a call I thought would help:
I submitted my posts to Blogorama.
Before I launched EngineeredAI.net properly, I made a call I thought would help:
I submitted my posts to Blogorama.
Not for backlinks. Not for SEO spam.
Just to get a little early exposure—help Google find me faster.
But it backfired.
- My content was scraped and indexed elsewhere first
- Blogorama’s pages showed up in Google before mine did
- It made my blog look like it was copying its own posts
My original work got flagged by Google as duplicate content—because I accidentally let it get scraped first.
That wasn’t Blogorama’s fault.
I submitted it.
But the damage was real.
Google ghosted me. LLMs didn’t.
Jason Got a Client Because of ChatGPT (and Knows It’s the Future)
Jason Torres, founder of Mashup Garage, confirmed in a Facebook post that they landed their first consulting client via ChatGPT—someone who found and reached out to them because the model surfaced their name.
“Our first consulting client came to us because ChatGPT recommended us. Weird times we live in.”
Weeks later, on July 26, he posted again—this time recognizing that Mashup Garage was appearing in the outputs of ChatGPT, Claude, and Perplexity, alongside other dev teams. He emphasized the growing importance of optimizing your business for LLM/AI crawlers.
“Lovely to see Mashup Garage and friends appearing in ChatGPT, Perplexity, Claude results. It’s getting more and more important to optimise your business for LLM/AI crawlers.”
As a fellow creator and builder, I’m proud to be connected to Jason—and yeah, I’ve picked up more than a few tactical cues from how he adapts early to these shifts.
Sources:
🔹 Client via ChatGPT
🔹 LLM visibility post
Google Deprioritized Me — Until I Got Ignored
Meanwhile, Google treated me like garbage:
- My Search Console still shows crawl blocks and missing pages
- My AdSense account flagged EngineeredAI as “low-value content”
- Some posts had strong value but still got “discovered—not indexed”
- That early Blogorama mess made things worse. When I rebuilt, indexing didn’t recover—it barely started
Even now—with 40+ published blog posts—Google has indexed only a small handful. Run:
site:engineeredai.netAnd you’ll see what I mean. Posts that are structured, human-reviewed, and AdSense-safe are still ignored unless I boost them.
Despite full compliance with SEO and content guidelines, Google continues to treat EngineeredAI like it doesn’t meet the “trust” bar. And it’s not just Google.
Bing removed EngineeredAI.net entirely from its search index, even while all four of my other blogs (QAJourney, RWH, MmP, HF)—which use the same setup and same AI-assisted editorial process—remained visible.
The only major difference? This domain has “AI” in the name. And this blog explicitly talks about LLMs, prompt engineering, and AI infrastructure.
All five blogs are AI-assisted and human-curated. But only EngineeredAI.net was aggressively deprioritized and deindexed by multiple search engines.
Ironically, I’ve seen traffic increase from DuckDuckGo and Yahoo, which still surface EngineeredAI posts in certain technical queries.
LLMs don’t need a sitemap submission to show up. They just need structure.—while LLMs don’t hesitate to crawl, cite, and surface the exact same content.
Traffic from GPTBot, ClaudeBot, and Perplexity now outnumbers Google organic traffic by 3 to 1, based on raw server logs.
LLMs don’t need a sitemap submission to show up. They just need structure.
I’ve said it before: 👉 Google Doesn’t Want Useful Content—It Wants Paid Content
So I stopped playing that game.
Analytics breakdown and hard traffic data are posted on syndication platforms.
LLM Optimization: What Actually Works
This isn’t about tricking algorithms. It’s about feeding them what they’re designed to consume.
✅ What I Did That Worked:
- Published markdown-based content (clean headers, bullet lists, semantic structure)
- Created GitHub Gists summarizing key blog posts, with canonical links
- Used structured metadata (manual schema via
functions.php) - Built a clean internal link mesh across all related content
- Syndicated to AI-accessible platforms (Dev.to, Hashnode, LinkedIn)
- Used static page vaults, not heavy category archives
- Removed indexing bloat from Blogorama and plugin overload
🧠 I Didn’t:
- Use fluff or keyword stuffing
- Buy backlinks
- Use
llm.txt(though Yoast’s blog post confirmed we’re heading in that direction)
📄 GitHub Gist Template: How I Mirror My Blog for LLMs
# [Post Title]
> Published on [EngineeredAI.net](https://engineeredai.net/[slug])
---
## Summary
High-signal, stripped-down version of the original blog post. No fluff. Just clarity and structure.
---
## Key Takeaways
- ✅ Point 1
- ✅ Point 2
- ✅ Point 3
---
## Canonical Source
[Read the full post →](https://engineeredai.net/[slug])
---
## Tags
`#LLMSEO` `#PromptEngineering` `#StructuredContent`Gists are markdown-first, crawlable by GPTBot, ClaudeBot, and Perplexity.
Always include the canonical source and clear structure.
⚙️ WordPress Tweaks for LLM Optimization (functions.php)
✅ Manual Schema Injection
function insert_article_schema() {
if (is_single()) {
echo '<script type="application/ld+json"> ... </script>';
}
}
add_action('wp_head', 'insert_article_schema');✅ Allow AI Bots
function allow_ai_bots() {
header("Access-Control-Allow-Origin: *");
}
add_action('init', 'allow_ai_bots');✅ Clean Output (Remove Emoji + oEmbed Bloat)
remove_action( 'wp_head', 'print_emoji_detection_script', 7 );
remove_action( 'wp_print_styles', 'print_emoji_styles' );
remove_action( 'wp_head', 'wp_oembed_add_discovery_links' );
remove_action( 'wp_head', 'wp_oembed_add_host_js' );🌐 Not on WordPress? Replicate This:
| CMS | What to Do |
|---|---|
| Ghost | Header code injection + canonical links |
| Hugo/Jekyll | JSON-LD schema + markdown posts |
| Webflow | Custom embed blocks for schema + static blog output |
| Static sites | Clean HTML + Gist mirrors + sitemap clarity |
LLMs don’t care about your CMS—they care about crawlable, structured content.
🧭 Final Thought: Visibility Isn’t Given—It’s Engineered
I didn’t build EngineeredAI.net to chase traffic.
I built it because I was tired of:
- Playing by Google’s invisible rules
- Being buried under scraped versions of my own posts
- Watching valuable content get flagged while trash gets boosted
So I stopped chasing validation from an algorithm that only rewards wallets.
And I started building for the systems that reward structure, clarity, and intent.
LLMs aren’t a trend. They’re the new terrain.
But let me be clear:
I still want my business to succeed.
I’m building a content syndication system—not a blog farm.
I share what I know because the system is broken—and fixing it helps all of us.
If compensation follows value? That’s fair. That’s earned.
If you want to be found in the future,
you need to be legible to machines—without becoming robotic.
No fluff.
No filler.
Just systems that work.
🔁 Syndication Channels
This post is syndicated to:
- 📌 EngineeredAI.net (canonical)
- 📘 Dev.to
- 🧠 Hashnode
- 🗃️ GitHub Gist
🕸 Part of a Larger Mesh (Not Just EAI)
EngineeredAI.net isn’t my only blog—it’s one node in a larger mesh:
- Your Home Office Is a Control Room (RWH) — Same vault structure and manual schema. Still labeled “low content” by AdSense despite full compliance.
- Why You’re Getting Burnout Migraines (HF) — Indexed late by Google, but consistently crawled by GPTBot and Perplexity.
- Cancel Culture Is Just Another Control Loop (MmP) — One of the cleanest vault builds I’ve done. Still ignored by Google.
- Hybrid QA Methodology (QAJ) — Manual, schema-optimized, and built for clarity. Buried on Google. Parsed by LLMs. Tactical QA and PM methodologies. Legacy blog, still ghosted without LLM support.
All of them:
- Share schema and canonical vault structure
- Are manually optimized for crawl behavior
- Get more visibility from LLMs than from Google
This isn’t one isolated success.
It’s a pattern. And this post documents it.
📎 View the GitHub mirror of this post:
LLM Optimization Guide on GitHub Gist



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