AI Search & Answer Engine Optimization NYC

The business challenge

A growing share of research now happens inside an AI assistant instead of a search results page. That assistant decides what to read, how to summarize it, and whether to cite the source — and most sites have done nothing to influence any of that. Traditional SEO helps, but it was built for a ranked list of blue links, not for a system trying to extract a direct answer.

The sites getting cited correctly right now are mostly getting it by accident. The gap is real and still cheap to close, because almost nobody has closed it yet.

What Golden Tefnut provides

We apply the specific, current technical work that makes a site legible to AI crawlers and answer engines — not a rebrand of ordinary SEO.

• An llms.txt file — a plain-language map of the site and how it should be characterized, for AI crawlers that support the emerging convention.
• An AI-crawler policy in robots.txt — explicit allow/deny rules for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended.
• FAQPage and structured data that answer engines can extract directly, rather than having to summarize prose.
• Content written to answer a specific question cleanly, since that is what gets quoted.

How the engagement runs

The technical foundation — robots.txt policy, llms.txt, structured data — is typically a two-to-three-week engagement. It’s a one-time build with periodic upkeep, not a recurring content commitment on its own.

This pairs naturally with SEO & content marketing for sites that want both traditional and AI-driven visibility, but it stands on its own for sites with a solid content base that just haven’t been made legible to AI crawlers yet.