How Beutler Ink Helps Brands with AI Visibility
Helping brands shape how AI describes them
As tools like ChatGPT and Google’s AI Overviews become default information sources, they rely heavily on high-trust platforms to increase the quality of their answers. Chief among them are Wikipedia and its less famous sibling, Wikidata.
Both are used in training foundational models, and Wikipedia is frequently accessed to augment information for responding to user queries. Meanwhile, other structured data sources like Schema.org and emerging standards like llms.txt are playing a growing role in shaping what AI tools surface—especially when they amplify signals from platforms like Wikipedia.
Why it matters
Much like SEO during the Google era, Answer Engine Optimization (AEO)* is about influencing what people see when they query AI tools. Outdated or imprecise information is frequently repeated across platforms. Additionally, missing or incomplete information creates a different disadvantage. Proactively managing your presence on these platforms can help improve accuracy, credibility, and visibility.
*Also referred to as Generative Engine Optimization (GEO) and LLM Optimization (LLMO), among other terms.
Our approach
We begin with an AI visibility audit across platforms like GPT-4o and Google AI Overviews, developed in consultation with you to reflect the questions your customers actually ask. We analyze tone, accuracy, completeness, and sourcing. Based on this audit, we recommend and can implement improvements to Wikipedia, Wikidata, and can assist your team with other structured data systems.