The Business Guide to
This FAQ breaks down AI, large language models, and AI-powered search features in plain English—so you can understand what they are, how they work, and what they mean for your business and online visibility.
What is a LLM?
A Large Language Model (LLM) is an AI system trained on large datasets to predict text and generate human-like responses. This is the name given to a machine that can train on vast amounts of data, in order to predict the next likely word in a sequence of words, in order to simulate a human response to any query posed to it.
How Does AI or a LLM Work?
AI systems work by analyzing data using algorithms to find patterns and generate predictions or responses. They are instructed to scan troves of data by way of text, images, videos, etc. The AI model then processes this data using sets of rules called algorithms, which help identify patterns and correlations within this data. Once the patterns are established, the AI model generates decisions, predictions, or simple query answers; such as classifying an image, or generating a passage of text based on a prompt for which it has the data set with which to provide an adequate answer.
What Is Generative AI, and How Is It Different?
Generative AI is a type of artificial intelligence designed to create new content rather than simply analyze or categorize existing data. It can produce text, images, audio, and even code by learning patterns from the data it’s trained on. Traditional AI, on the other hand, focuses on recognizing patterns, making predictions, or performing specific tasks, such as classifying images or recommending products, without generating entirely new material. Examples of generative AI include ChatGPT for text, DALL·E for images, and MusicLM for music.
What Are AI Chatbots, and How Do They Work?
How Can My Content Appear in AI Summaries?
While there is no guaranteed way to appear in AI-generated summaries, websites with clear, well-structured, and informative content are more likely to be referenced. Using headings, bullet points, tables, images, and videos helps AI better understand your content. Topics that are widely discussed online tend to be summarized more often, while very niche subjects may appear less frequently.
How Is My Data Protected While Using AI?
What Are the Risks of AI Using My Data?
The main risk of AI training from your site is that it may misinterpret or inaccurately represent your content. AI-generated summaries can sometimes fill gaps with unrelated sources, like using a Wikipedia article about a similarly named business to supplement your profile. To protect your business, monitor how your information is represented, report any errors to the AI vendor, and provide authoritative, relevant content, such as social media pages, directory listings, dedicated landing pages, and credible articles to ensure accurate AI representation.
How Does an AI Train on Information?
AI systems are trained on large datasets collected from the web, which can include text, images, and structured data from publicly available sites. The AI analyzes patterns in language, structure, and content to learn how to generate summaries, answer questions, or make predictions. Training doesn’t rely on a single source; instead, AI aggregates information from multiple sources to produce answers. Note that not all AI models continuously update from the live web, and some may rely on snapshots of data collected during their training period.
How Do I Fix AI Errors About My Business?
AI-generated summaries can sometimes misrepresent or pull incorrect information about your business. To correct errors, report the issue to the AI vendor or platform displaying the summary, and provide authoritative information online, such as official website pages, social media profiles, business directories, and press coverage. Creating clear, structured content, like landing pages, FAQs, and articles also helps AI reference accurate sources. Regular monitoring ensures your business is represented correctly over time.
What is an AI Overview on Google?
Google’s AI Overview is an AI-generated summary of content that appears at the top of search results. It gathers information from multiple sources and summarizes it into a single answer, often including bullet points, sub-sections, and sometimes step-by-step instructions to help users complete a task. This Overview appears above the regular search listings. If Google can’t find enough sources to create a summary, the Overview may not appear.
How Do AI Overviews Work?
AI Overviews cite their sources with links at the end, allowing users to trace back the origin of the content, positioning those websites as authoritative sources. Bing offers a similar feature through Microsoft CoPilot, showing a summary box at the top of search results. However, AI Overviews are controversial because they can make dubious claims or conclusions and may reduce traffic to source websites, since users may get their answer directly from the Overview without visiting the original site.
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