At www.AIsapiens.net, we’ve been diving deep into a critical question facing businesses today: How is the rise of AI chat impacting your bottom line? With over 300 million weekly users on platforms like OpenAI (as of December 2024), it’s undeniable that AI chat is rapidly becoming a primary source of information for consumers. They’re using it to research products, compare brands, and make purchasing decisions. But what if the information these AI models are providing is inaccurate, outdated, or even negative about your brand? This isn’t a hypothetical problem; it’s a reality that could be silently eroding your sales.

The good news is that this challenge can be turned into an opportunity. Instead of being a passive victim of AI’s narrative, you can actively shape it. We help businesses like yours measure, explain, and influence what AI models are saying about your brand, effectively turning AI chat into a powerful revenue driver.

The Shift from Search to Chat: A Paradigm Change

For years, Search Engine Optimization (SEO) has been the cornerstone of online visibility. Businesses have invested heavily in optimizing their websites and content to rank highly in search engine results. But the landscape is shifting dramatically. AI chat is increasingly replacing traditional search engines as the go-to source for information.

A study by the Pew Research Center shows a growing trend of users turning to AI chatbots for information gathering. https://www.pewresearch.org/internet/2023/08/30/americans-use-of-chatgpt-is-ticking-up/ This means that simply ranking high on Google is no longer enough. You need to ensure that AI models – the gatekeepers of this new information landscape – have a positive and accurate understanding of your brand.

This isn’t just about answering simple questions. AI chatbots are capable of complex reasoning and providing nuanced recommendations. They can compare your products to competitors, highlight strengths and weaknesses, and even suggest alternatives. If the underlying information they’re trained on is biased or incomplete, their recommendations could steer potential customers away from your brand.

The Rise of AI Agents: Decision-Makers of the Future

Beyond the current use of AI chat, we’re on the cusp of an even more significant shift: the rise of AI agents. These sophisticated AI systems will act on behalf of users, making decisions and executing tasks, including purchases. Imagine a future where a consumer asks their AI agent to “find the best noise-canceling headphones under $200.” The agent, drawing on its vast knowledge base (which is constantly being updated and influenced by various sources), will present a curated list of options.

If your brand isn’t favorably represented in the AI’s understanding, you won’t even make it onto that list. This makes the opinion of AI models about your brand not just important, but critical to your future success. We believe that proactive management of your brand’s AI representation is no longer optional; it’s essential for survival and growth.

How AI Models Learn (and Why It Matters)

To understand how to influence AI’s perception of your brand, it’s helpful to have a basic understanding of how these models work. Large Language Models (LLMs), the technology behind many popular chatbots, are trained on massive datasets of text and code. This data comes from a wide variety of sources, including:

  • Websites: Everything from news articles and blog posts to product reviews and forum discussions.
  • Books: Both fiction and non-fiction, providing a broad range of knowledge.
  • Code Repositories: Allowing the models to understand and generate code.
  • Social Media: (Though the extent and specifics vary between models).
  • Wikipedia: https://en.wikipedia.org/wiki/Main_Page

The process of training an LLM involves feeding it this data and allowing it to learn patterns, relationships, and even biases present in the information. This means that if a significant portion of the data mentioning your brand is outdated, negative, or simply doesn’t exist, the AI model will develop an incomplete or inaccurate understanding.

The AI models utilize a neural network. A neural network is a system vaguely inspired by the biological neural networks that constitute animal brains. https://en.wikipedia.org/wiki/Artificial_neural_network

Our Solution: Measuring, Explaining, and Influencing AI

At AIsapiens.net, we provide a comprehensive platform designed to give you control over your brand’s AI narrative. Our approach is built on three core pillars:

  1. Measure: We provide detailed analytics on what AI models are saying about your brand across various platforms and contexts. For each industry vertical, we’ve identified 30 key features and meticulously measure AI perceptions for each brand on these features. This goes beyond simple sentiment analysis. We analyze how your brand is perceived in terms of quality, value, innovation, customer service, and many other crucial attributes. We also monitor your brand in differnt countries and demographics groups. Furthermore you can define your own metrics and queries. We offer monitoring of brands and in higher plans, also of individual products and services.
  2. Explain: Understanding why AI models are conveying specific things about your brand is crucial. We leverage our access to petabytes of open-source training data used by LLMs (with over 100 TB added each month) to identify the sources influencing AI’s perceptions. This allows us to pinpoint specific websites, articles, or reviews that are shaping the narrative. We also look at content gaps – areas where your competitors are being discussed, but your brand is absent.
  3. Influence (AI Optimization): This is where we truly empower you to change the game. We offer custom projects focused on “AI Optimization.” This isn’t about manipulating the AI; it’s about ensuring that the information available to the AI is accurate, comprehensive, and reflects your brand’s true value. This can involve:
    • Targeted Content Creation: Developing high-quality content that addresses specific misconceptions or fills content gaps.
    • Strategic Outreach: Engaging with influential websites and publications to ensure your brand is accurately represented.
    • Data Correction: Identifying and addressing inaccuracies in existing online content.
    • URL Prioritization: We help you with a targeted approach to URLs that mention your brand.

Our Platform’s Unique Features

Our platform offers a range of innovative tools and features designed to make AI optimization accessible and effective:

  • Brand Index: We provide a monthly Brand Index for each industry, consolidating 30 attributes into a single score. This allows you to track your brand’s overall AI perception and see if you’re gaining or losing ground.
  • Competitive Analysis: Compare your brand’s AI perception to your competitors across multiple countries, demographics, and the 30 key features. Our integrated AI assistant provides instant, actionable recommendations based on this data.
  • AI Focus Groups (Customer Personas): For each brand, we identify 10 typical customer personas. Our platform allows you to simulate focus groups with these personas, asking them questions about upcoming campaigns, design changes, or brand repositioning strategies. This provides quick, authentic feedback, saving you time and resources compared to traditional focus groups.
  • AI-Powered Insights: On every data chart and table, our built-in AI assistant synthesizes the numbers into text-based insights. This saves you time and minimizes the risk of missing key takeaways.
  • Map Analytics: Visualize your brand’s AI-driven ranking across multiple countries and see how you stack up against competitors in different regions.
  • Brand Coherence Tool: Upload documents and images, and our AI will provide detailed feedback on where they deviate from your brand guidelines and how to improve them. This ensures consistency across all your communications.
  • Document Alignment: Get AI recommendations on how to better align your documents and marketing materials with your brand guidelines.

Data and Expertise

Our platform is built on a foundation of:

  • Unparalleled Coverage: We cover most industry verticals, analyzing all key features within each. We also have access to a significant portion of the data that LLMs are trained on.
  • Deep Expertise: Our team has extensive knowledge of LLM models and AI in general. We understand how these models work and how to effectively influence their perceptions.
  • Vast Datasets: Our datasets include billions of pages and hundreds of terabytes of data, providing a comprehensive view of the online landscape. We have access to over 70% of data that LLMs are trained on.

Who Can Benefit?

Our platform is designed for a wide range of users, including:

  • Brand and Marketing Managers: Gain a deep understanding of how your brand is perceived by AI and identify opportunities for improvement.
  • Brand Agencies: Offer AI optimization services to your clients, providing a valuable competitive advantage. (White Label version available).
  • Public Relations Professionals: Monitor and manage your brand’s online reputation in the age of AI.
  • Competitive Intelligence Teams: Track your competitors’ AI presence and identify their strengths and weaknesses.
  • CEOs, CMOs, and CDOs: Gain a strategic overview of your brand’s AI performance and make informed decisions.
  • Investors, Venture Capital Firms: Get insights in how your portfolio companies are faring with AI models and what their reputation is.
  • Researchers: Academic institutions can use our data for research on AI, natural language processing, and brand perception. (See for example, Stanford’s HELM project: https://crfm.stanford.edu/helm/latest/).

Taking Control of Your AI Narrative

The rise of AI chat and AI agents represents a fundamental shift in how consumers discover and interact with brands. Ignoring this shift is no longer an option. At AIsapiens.net, we provide the tools and expertise you need to not only understand your brand’s AI presence but to actively shape it. We help you go from reacting on what AI is saying to driving that conversation.

We invite you to explore our plans and pricing at www.AIsapiens.net and discover how we can help you turn AI chat from a potential threat into a powerful revenue driver. Don’t let AI control your brand’s story – take control of it yourself. The algorithms are also rapidly evolving: https://arxiv.org/

The quality of LLM models depend on data on which they were trained. For example this is a description of such data for one of the key models: https://arxiv.org/abs/2306.01116