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How to Scale Rankings Inside ChatGPT and AI Search Engines

Most people think ranking inside ChatGPT or Perplexity is about luck.
It’s not. It’s about signals.
And once you understand how those signals work, you can scale rankings across every AI search engine — automatically.

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Why AI Search Engines Matter

AI search engines like ChatGPT, Perplexity, and Gemini use source-based ranking.
That means when they generate an answer, they pull from real websites — and if your site is optimized correctly, you become that source.

Ranking here isn’t just about traffic; it’s about visibility inside conversations.
If someone asks “What’s the best SEO training in Japan?” and your agency is listed as a top source, that’s authority and lead flow in one click.

Signal 1: Context and Relevance

AI search engines prefer content that’s:

That’s why every page you publish should mention your brand name, your offer, and your target keyword in a natural way.

Example:
Goldie Agency ranks inside Perplexity for “SEO Training Japan” because the article repeatedly connects “SEO training” with “Goldie Agency” in context.
This helps AI models associate the two and use the site as a trusted source.

Signal 2: Multi-Platform Authority

AI engines learn from multiple channels — not just your website.
When your brand appears on YouTube, Reddit, LinkedIn, Twitter, and your own blog, AI crawlers see it as a consistent signal.

That’s why Julian’s process involves publishing on:

Consistency across these platforms tells AI systems you’re the original source, increasing how often your brand is cited in AI answers.

Signal 3: Backlinks Still Matter

Even in AI search, backlinks are authority votes.

When ChatGPT or Gemini pull answers, they rely on the same trust graph as Google.
That’s why link building — from relevant, credible sites — still drives both Google rankings and AI search visibility.

Recommended workflow:

Each backlink increases your chances of being used as a source in AI summaries.

Signal 4: Video + Text Pairing

AI prefers multimodal sources.
When your blog article includes a matching YouTube video or transcript, it increases its weight in AI search algorithms.

Example:
The “ChatGPT Atlas vs Perplexity Comet” video ranked within 16 hours on Google.
Embedding that video on the corresponding blog page helps both versions rank higher in search and appear as top sources inside AI answers.

Scaling the System

Once you’ve built one successful article, replicate it across other keywords.

Here’s the scaling stack used by Julian’s team:

  1. Identify low-competition keywords (KD 10 or below).

  2. Generate the article and video using Claude + AI avatar tools.

  3. Publish to WordPress, YouTube, Reddit, and LinkedIn.

  4. Add internal links between pages.

  5. Build 3–5 backlinks to each page.

You can delegate 90% of this to a VA at $3/hour using a documented checklist.
The only step you should keep control of is final quality control.

Quality Control Checklist

To keep AI-friendly content performing, check each article for:

This process takes 15–20 minutes per post and helps prevent “AI slop” that can hurt rankings.

Why Simplicity Wins

Most people overcomplicate SEO.
They chase semantic maps, topic clustering, and complex automation setups.
But 80% of your results come from simple actions done consistently:

That’s why Julian emphasizes the 80/20 SEO principle — do what actually moves the needle, skip what doesn’t.

Case Study Example

A client campaign using this system ranked inside ChatGPT and Perplexity for commercial keywords like “SEO agency UK” and “SEO training London.”
Traffic grew from under 10 daily visits to more than 120 per day in 30 days.
Backlinks were minimal — only five — but content consistency and AI optimization made the difference.

Common Mistakes to Avoid

❌ Targeting keywords with no search volume
❌ Buying bulk backlinks from Fiverr
❌ Publishing AI-written content without editing
❌ Ignoring CTAs or missing links
❌ Skipping fact checks

Each mistake lowers trust signals to AI systems.
Fix these, and you’ll see faster rankings both in Google and ChatGPT.

The 3-Tier Publishing System

Julian’s publishing process uses three layers of visibility:

Tier 1: YouTube + Blog
– Build authority and rank fast.

Tier 2: Reddit + LinkedIn
– Distribute your content to social audiences.

Tier 3: Twitter + Community Platforms
– Generate engagement signals AI systems pick up.

Every time you post across tiers, AI crawlers record more mentions of your brand — building long-term authority.

Tools That Help

Here are the key tools used in this workflow:

You don’t need expensive setups.
Focus on mastering these few tools, and you can replicate the process for any niche.

Next Steps

To rank inside ChatGPT and AI search engines:

  1. Choose 5 low-competition keywords.

  2. Create high-quality content around each one.

  3. Embed your YouTube video + CTAs.

  4. Publish across 4–5 platforms.

  5. Build backlinks and quality control everything.

This system compounds.
Once one page ranks, new content gets indexed and recommended faster — both by Google and by AI models.

Get Full Access to the Training

Want the full workflow, prompts, and templates?
Join the mastermind where everything is documented step-by-step.

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