How Beutler Ink Helps Brands with AI Visibility
Brands turn to Beutler Ink to understand and improve how AI platforms describe them. We help brands improve how they’re represented in AI tools like ChatGPT—using Wikipedia, structured data, and insights into how these systems decide what to say.
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. Wikipedia is the most powerful signal in AI-generated content, while its lesser-known counterpart, Wikidata, helps answer factual queries.
Both are used to train large language models, and Wikipedia is frequently cited as a source in AI-generated answers. Meanwhile, other structured data sources, emerging standards like llms.txt, and forums like Reddit play a meaningful role in what AI tools surface and how they present information.
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 Outdated or imprecise information is frequently repeated across platforms.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.
Three ways to collaborate
-
Comprehensive
Our recommended AI visibility service includes a full audit of your brand’s presence across leading AI platforms, followed by strategic action on Wikipedia, Wikidata, and using structured data and LLM-specific techniques. We handle work on Wikimedia platforms directly and collaborate with your team on supporting content. This tier is best for brands seeking broad, coordinated improvements across both human-readable and machine-readable channels.
-
Wikipedia Only
For clients focused solely on Wikipedia, our traditional Wikipedia engagement service was the industry pioneer and is still the market leader. Whether updating an existing article, creating a new one, or handling a crisis situation, we provide strategy, content, and community engagement that aligns with Wikipedia best practices. This option is suited for brands with specific wiki needs, whether or not AI visibility is the primary goal.
-
Structured Data Only
This service focuses on the structured information that AI tools rely on behind the scenes—primarily Wikidata and other structured data platforms, plus application of emerging standards in LLM optimization. We conduct an audit, recommend updates, and assist with implementation. This tier excludes Wikipedia but is ideal for brands that want to improve AI accuracy and discoverability but who don’t yet meet Wikipedia’s content standards.
Our Approach
For any AI visibility or AEO engagement, we start with an audit to assess how your brand appears across ChatGPT, Google AI Overviews, and other platforms—analyzing tone, sourcing, and completeness. From there, we develop a platform-specific strategy, working on high-impact sites like Wikipedia and Wikidata, while advising your team on structured data and owned content.
How We Work
We approach AI visibility as an ongoing process, not a one-time fix. These systems are still evolving, so we take an open, test-and-learn approach: establish a benchmark, implement targeted updates, then monitor and adjust over time. Because AI visibility intersects with brand, comms, SEO, and even legal, we work collaboratively with your internal or external teams to ensure changes align across the board.
FAQs
-
Short answer: these are all terms for the same thing. More nuanced answer: these terms refer to different perspectives based on the fact that, more and more, people are getting their information not from traditional search, but from AI-generated answers.
AI visibility describes how and where your brand appears in AI-generated content.
AI reputation is focused on tone, framing, and how you’re being described.
AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are essentially identical terms, both borrowed from SEO. They describe efforts to influence the inputs AI tools rely on when generating responses.
LLMO (Large Language Model Optimization) is a more technical term, sometimes used by those working directly with model training or fine-tuning.
AIO (AI Optimization) is broader and can be used in marketing and non-marketing contexts.
Whatever term you prefer, the core idea is the same: AI tools are shaping public perceptions, and it's worth paying attention to how they describe you.
-
AI visibility is about how your brand appears in responses from tools like ChatGPT or Google’s AI Overviews. These tools are increasingly used as shortcuts for search, and what they say becomes what people believe. Managing that presence matters for trust, reputation, and influence.
-
Wikipedia is used for training and retrieval by most AI tools. Wikidata provides structured information that powers fact-based answers and knowledge panels. Improving both can help influence how AI describes your brand.
-
Yes. Even without a Wikipedia page, you may be eligible for inclusion on Wikidata, and we can also make other recommendations for your structured data and owned content. For new Wikipedia pages, we often recommend an earned media strategy if Notability is a barrier.
-
That usually means there’s not enough reliable information available. When AI tools don’t have strong signals, they often fill in the gaps often with confident-sounding but totally made-up answers. Strengthening the signals you control, like Wikipedia, Wikidata, and your structured or owned content, helps reduce that risk.
-
There is substantial overlap between optimizing for AI chatbots and traditional search engines, but also unique considerations and approaches. SEO helps you show up in search results. AI visibility helps shape what AI tools say when you do. The mechanics are different, and LLM-specific techniques are still being tested and developed.
Have a project you’d like to discuss?
Let’s talk about what AI is saying about your brand—and how to improve it.