The Optimitor Method

The right levers,
in the right order.

Search success comes from knowing which problems to solve first and how they connect. This is our system.

Lever 01

Keyword strategy and opportunity mapping

Keywords segmented by commercial intent, competition, and traffic potential. Mapped to topic clusters. We model which queries your target customers are asking Google and AI platforms, then build a roadmap to capture them.

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Lever 02

Content structured for ranking and AI citation

Every article maps to the keyword strategy. But we go further: content is structured so AI platforms can extract it, attribute it to your brand, and cite it in recommendations. Direct answers under clear headings. Schema markup. Entity definitions. The format AI needs to recommend you by name.

Lever 03

Authority building through editorial placements

DR50+ backlinks from publications AI platforms already reference as trusted sources. These links tell both Google and AI systems: this brand is credible enough to rank and recommend.

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Lever 04

AI citation optimization

We monitor how ChatGPT, Perplexity, Claude, and Gemini respond to queries in your category. When a customer asks “who should I hire for X?” or “what’s the best solution for Y?”, we track whether your brand gets cited, what competitors are cited instead, and what content changes move the needle.

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Lever 05

Performance tracking and revenue attribution

Monthly reporting tied to traffic, rankings, AI citations, and revenue. Not vanity metrics. You see which articles drive leads, which backlinks moved rankings, and which AI platforms are citing your brand.

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Principles

What we believe based on the data.

Google and AI search are one connected system

When brands lose Google rankings, they lose ChatGPT citations within days. Perplexity removes their recommendations. AI Overviews cut them out. Treating them as separate problems is wasted money and wasted time.

AI recommends brands whose content is structured for extraction

When someone asks an AI for a recommendation, the model cites content it can parse and attribute. Clear headings, direct answers, structured data, and authoritative sourcing. If your content is not built this way, AI platforms cite your competitors instead.

Sequencing matters more than volume

Early on, content might matter more than links. Later, authority building might be the bottleneck. The companies that win sequence their investments based on where they are today. Compounding happens when you get the order right.

One client per niche

We do not work with two companies competing for the same keywords. Your niche is yours. If we already work with a competitor, we say so upfront.

How an engagement works

Phase 01

Discovery and baseline

We pull your rankings across Google and every AI platform. We test what ChatGPT, Perplexity, and Gemini recommend in your category today. The gaps show us where to start.

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Phase 02

Strategy and roadmap

Topic clusters mapped to commercial intent. Backlink targets. AI citation benchmarks. Quarterly KPIs. You approve everything before we write a word.

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Phase 03

Execution across all levers

Articles published. Backlinks placed. AI citations monitored. Every piece structured for both Google ranking and AI extraction. Weekly production cycles.

Phase 04

Measurement and adjustment

Monthly report: traffic, rankings, AI citations, revenue. What works gets scaled. What does not gets cut. Strategy adjusts based on what the numbers show.

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