Our Services

Two Engines of AI Visibility

AI assistants do not invent recommendations. They assemble them from what the rest of the web already says about you. We work both sides of that supply chain: the earned coverage models treat as authority, and the answer-shaped content they extract from.

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The Visibility Engine

One Brand, Every Answer Surface

ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok and Google AI Overviews each assemble their answers from a different mix of sources. Both engines feed all of them from the same body of work.

Your
Brand

Click any platform to trace the citation path.

The Two Engines

Where Recommendations Come From

One engine earns you authority. The other gives models something extractable to quote. Most brands need both.

Engine 01

LLM Seeding & AI Content

Strategic articles placed on publishers that AI models already read, written in the structures models extract from: direct answers, comparison tables, and specific numbers. When a model answers a buying question in your category it pulls from a small set of sources it trusts, and this is how your brand gets into that set with the reasoning attached rather than as a bare mention.

Typical output

10–30 publisher articles / month

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Engine 02

Digital PR & Interactive Campaigns

We build a campaign asset worth writing about, then pitch it until it earns coverage on titles like Forbes, Fortune and the New York Post. Earned coverage on a masthead does two jobs at once: it is the authority signal search engines weight most heavily, and it is what AI models reach for when a question calls for something more credible than a brand talking about itself.

Typical output

Interactive campaign asset + earned coverage

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Early AccessBrand Communities

A third engine, in limited early access: an official subreddit you own, built, seeded and grown for you. Community threads win the experience and opinion questions that press and articles cannot reach.

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Not Sure Which Engine You Need?

Send us your domain. We come back with where your brand currently shows up across AI assistants, where it does not, and which engine closes that gap fastest.

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