Copy the formatted transcript to paste into ChatGPT or Claude for analysis
Metahan February 4th in Dubai. You are
sharing 11 ways to influence Chachi PT
and other LLMs things that you have been
reverse engineering obsessively for the
past year and I'm dying to know I'm
dying to know Metahan what are some of
the ways to influence LLMs?
Okay, this is the um hot topic at the
moment. You know, uh everyone is chasing
uh more traffic and conversion from LLMs
at the moment and of course uh CH GPT is
the hottest one. Uh so and I believe
Gemini is following it. But as we know
uh on the traffic site every time when I
uh open Google Analytics I always see
AI-generated overview
SEO expert Metahan discusses eleven methods for influencing ChatGPT and other large language models (LLMs) in 2026, based on extensive reverse engineering over the past year. Key strategies include building consensus through strategic brand mentions in listicles (effective within 24 hours), leveraging content freshness due to LLMs' recency bias, and utilizing structured HTML tables to overcome the 'lost in the middle' problem where LLMs struggle with long-form content context. Metahan emphasizes that AI visibility remains closely tied to traditional SEO fundamentals, as indexing on search engines is prerequisite for LLM citation. He recommends multi-platform content strategies across YouTube, Reddit, LinkedIn, and press release distribution to compete with multiple domains rather than a single website. The expert advocates for gathering hundreds of real user questions, creating topic clusters, and updating content within 6-month windows. Press releases through services like EIN Presswire and Brand Push effectively build entity connections and consensus.
Building consensus through brand mentions in 'best of' and 'top' listicles produces measurable AI visibility effects within the first 24 hours after indexing, making it one of the fastest-acting LLM optimization tactics.
LLMs exhibit a 'lost in the middle' problem where they struggle to process information in the middle sections of long documents, but structured HTML tables and semantic tags in these sections increase citation rates.
Content freshness functions as a booster score for AI visibility, with the last 180 days being particularly impactful due to LLMs' recency bias and tendency to append current year to search queries.
Multi-platform content strategies outperform single-domain approaches because they enable brands to compete with multiple domains in LLM rank fusion and query fanouts, rather than relying on one website alone.
How LLMs decide which brands get cited. How consensus is formed across the web. Why some brands dominate AI answers