Have you discovered an AI chatbot telling a potential customer in Riyadh that your business offers a service you’ve never provided? Or perhaps it confidently quoted a price in Saudi Riyal that was completely wrong, costing you a valuable sale. This isn’t a rare glitch; it’s a growing challenge for brands across the Kingdom. If you feel powerless and are searching for how to prevent llm from making things up about my business, you are not alone. These AI "hallucinations" can quietly damage your reputation and erode customer trust without you even realizing it is happening.
But you can take back control of your brand’s story. This guide is designed to help you do just that. First, we’ll explore exactly why these advanced AI models invent false information. Then, we’ll provide a clear, step-by-step plan to proactively feed them the correct data about your products, services, and company details. You will learn actionable strategies to monitor your brand’s presence in AI conversations and ensure your narrative remains accurate, protecting your hard-earned reputation in the digital age.
Why LLMs Invent ‘Facts’ About Your Business (And Why It Matters)
A potential customer asks an AI assistant about your services, and it confidently provides an answer. The problem is, that answer might be completely wrong. Imagine an AI promising a client a 20% discount you don’t offer, or stating your delivery fee within Riyadh is 15﷼ when it’s actually 30﷼. This phenomenon, where an AI generates plausible but factually incorrect information, is known as a ‘hallucination.’ Understanding why this happens is the first step to prevent an LLM from making things up about your business.
The ‘Black Box’ Problem: How LLMs Learn
It’s important to recognize that LLMs are not databases designed for fact-checking. They are prediction models trained on vast, diverse datasets from the internet. Their core function is to predict the next most logical word in a sequence, not to verify the truthfulness of the statement they are building. This process is central to understanding what AI hallucinations are, and it highlights why a proactive strategy is essential if you want to prevent an LLM from making things up about your business. Furthermore, their knowledge is often limited by a ‘training data cutoff date,’ meaning they may not have your latest information. They can also easily confuse your business with another that has a similar name or operates in the same industry.
Common Sources of Misinformation
To effectively prevent an LLM from making things up about your business, you must first identify where it gets its incorrect information. These unreliable or outdated sources often include:
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Outdated Digital Assets: Old versions of your website, forgotten press releases, or previous product descriptions archived online.
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Third-Party Content: Inaccurate customer reviews, forum discussions, or blog posts that mention your brand with incorrect details.
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Data Scrapers and Directories: Aggregator sites or online business directories that may have scraped and stored incorrect or old information.
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Information Conflation: The AI may combine a fact about your business with a detail from a competitor, creating a hybrid, fictional offering.
The Real-World Cost of AI Hallucinations
These AI-generated fictions aren’t just minor errors; they carry significant costs for businesses in Saudi Arabia. A customer who was promised a non-existent feature will be disappointed, likely costing you a sale and leading to negative word-of-mouth. Your customer support team can become overwhelmed clarifying misinformation, wasting valuable resources. In the long term, a pattern of incorrect information damages your brand’s reputation and erodes customer trust. This makes learning how to prevent LLMs from making things up about your business a critical part of modern brand management.
Proactive Strategy: How to Feed AI the Right Information
When a Large Language Model (LLM) encounters sparse or conflicting information about your brand, it tends to fill the gaps with plausible-sounding, yet often incorrect, details. These inventions are not malicious; they are a byproduct of the model’s design. Researchers from the Harvard Kennedy School Misinformation Review have even developed a conceptual framework for studying AI hallucinations, classifying them as a new source of digital inaccuracy. The most powerful, long-term strategy is to build an unimpeachable data foundation that makes the truth easier for AI to find. This proactive approach is the best way to prevent an LLM from making things up about your business.
Your Website as the Single Source of Truth
Your official website is the cornerstone of any strategy to prevent an LLM from making things up about your business. It is the one place where you have absolute control over the narrative. Treat it as a definitive public record. Ensure every key piece of information is detailed, accurate, and kept meticulously up-to-date.
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Detailed ‘About Us’ Page: Clearly state your company’s mission, history, and leadership.
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Factual Product/Service Descriptions: Use clear, unambiguous language to describe what you offer.
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Knowledge Base: A blog or FAQ section answering common questions creates a repository of factual, helpful content.
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Accurate Contact Details: Verify your address, phone number, and operating hours for your locations in Riyadh, Jeddah, or elsewhere in Saudi Arabia.
The Power of Structured Data (Schema Markup)
Think of Schema markup as a set of digital "labels" you add to your website’s code. While invisible to users, these labels speak directly to AI crawlers and search engines, telling them precisely what your content means. This removes ambiguity, which is a critical tactic to prevent an LLM from making things up about your business. For example, using LocalBusiness schema clearly identifies your address and hours, while FAQ schema flags questions and their official answers, leaving no room for misinterpretation.
Optimize Your Digital Ecosystem
Your authoritative presence must extend beyond your domain. Consistency across the web reinforces the information on your primary website, creating a network of trust signals that AI models rely on. Key actions include:
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Google Business Profile: Claim and fully populate your profile. This is critical for local visibility in Saudi Arabia.
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Directory Consistency: Ensure your business name, address, and phone number (NAP) are identical across major directories like Yelp and essential local platforms like Maroof.
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Authoritative Records: Use official press releases for major announcements to create time-stamped, factual records.
By curating these owned assets, you build a digital footprint so strong and consistent that it becomes the most reliable source for any AI model. This is the fundamental way to prevent an LLM from making things up about your business.
Reactive Measures: Correcting Misinformation When You Find It
Even with a perfectly structured digital foundation, large language models can still generate incorrect information. When this occurs, the key is not to panic, but to execute a clear, strategic playbook. This reactive approach is a crucial part of a complete strategy to prevent LLMs from making things up about my business and protect your brand’s reputation in the Saudi market.
Providing Feedback to AI Model Providers
Your first, immediate action should be to report the error directly to the source. Most AI chat interfaces include a feedback mechanism, such as a ‘thumbs down’ icon. Using this feature flags the incorrect output for review. While this doesn’t offer an instant fix, this direct feedback is vital for retraining the model over the long term. It’s a simple step that contributes to a more accurate AI ecosystem for everyone.
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ChatGPT: Hover over the response and click the ‘thumbs down’ icon to provide feedback.
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Google Gemini: Click the three-dot menu on a response and select ‘Report a legal issue’ for serious issues or use the ‘Good/Bad response’ icons.
Creating Corrective Content
You cannot directly edit the AI’s knowledge base, but you can influence it by publishing authoritative content. If an AI falsely states your business in Jeddah has a 14-day return policy instead of 7, publish a clear blog post or FAQ page titled "Our Official Return Policy." This creates a new, indexable source of truth that search engines and future AI models can reference, effectively providing a counter-narrative to the misinformation.
Using PR and Social Media to Set the Record Straight
For significant misinformation that could impact your customers-like a false claim about product safety that might cost your business thousands of Riyals (SAR) in lost sales-a public response is necessary. Use popular platforms in Saudi Arabia like X (formerly Twitter) or Instagram to issue a clear, concise correction. For widespread issues, a formal press release can create a powerful, authoritative signal. Engaging directly with confused customers in the comments also helps rebuild trust and control the narrative.
The first step in any reactive strategy is detection. Consistently monitoring what is being said about your brand with tools like TrackMyBusiness.ai is essential to quickly find and address these issues before they spread.

The Critical Step: How to Monitor What LLMs Are Saying About You
You cannot fix problems you don’t know exist. While you may have robust monitoring for social media and Google search, large language models (LLMs) present a unique challenge. Conversations with AI chatbots are private and are not indexed by search engines, creating a significant blind spot for your brand’s reputation. Relying on chance to discover what these models are saying about your business is a risky strategy. To effectively prevent LLMs from making things up about your business, you need a systematic monitoring process.
Manual Spot-Checking: The Basic Approach
The simplest way to begin is by manually checking what major LLMs are saying. This provides a basic snapshot of your AI-generated reputation. To do this effectively:
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Regularly query major platforms like ChatGPT and Gemini about your business.
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Use diverse prompts, such as "What is [Your Business]?", "Tell me about their services in Riyadh," or "Does [Your Business] offer X?"
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Document the findings in a spreadsheet to track responses and identify changes over time.
However, this approach is not scalable. It is incredibly time-consuming and provides only a fragmented view, meaning you will inevitably miss critical mentions.
Why Automated LLM Mention Tracking is the Solution
A proactive strategy requires a more powerful solution. Specialized monitoring tools are designed to track mentions of your brand across LLM platforms at scale. These services automatically scan conversations for mentions of your company, products, and key executives, alerting you the moment new or incorrect information appears. This automated oversight allows you to move from a defensive position to an offensive one, giving you the intelligence needed to manage your brand’s narrative in this new digital landscape.
Take Control with TrackMyBusiness
Our platform is specifically designed to find mentions of your brand inside LLM conversations like ChatGPT. We provide the real-time insights you need to understand how AI is portraying your business to potential customers across Saudi Arabia. Stop worrying about the unknown and start actively managing your AI reputation. This is the most direct way to ensure you can correct inaccuracies and prevent LLMs from making things up about your business.
Start monitoring your brand in AI conversations today.
Take Control of Your AI-Driven Reputation
In the age of AI-driven search, leaving your brand’s story to chance is a risk no business in Saudi Arabia can afford. As we’ve explored, the key is a two-pronged approach: proactively feeding LLMs accurate, structured data about your company and consistently monitoring what they are saying. This combination of offense and defense is the most effective strategy to prevent llm from making things up about my business and protect your hard-earned reputation.
You don’t have to navigate this new frontier alone. TrackMyBusiness.ai is your essential partner, specialized in tracking brand mentions within LLM conversations. You can get real-time alerts and take immediate action. Protect your reputation in the new age of AI-driven search before misinformation spreads.
Don’t let AI control your brand narrative. Sign up for TrackMyBusiness.ai to monitor your mentions.
The future of your brand’s digital presence is in your hands.
Frequently Asked Questions
Will updating my website immediately fix what an LLM says?
Updating your website is a crucial first step, but it will not provide an immediate fix. Large language models are trained on vast snapshots of internet data. It may take weeks or even months for web crawlers to re-index your updated pages and for that new information to be incorporated into a future training cycle for the AI model. Think of it as a long-term strategy to provide accurate source material, not an instant correction.
Can I get my business information completely removed from an LLM?
Completely removing your business information from an LLM is nearly impossible. These models learn from the entire public internet, which includes news sites, review platforms, and government records. A better strategy is information management. By consistently publishing accurate and detailed information on your own website and other trusted platforms, you can influence the data pool that AIs use, making correct information more likely to be surfaced over outdated or incorrect data.
How often should I check what AI models are saying about my business?
For most businesses operating in Saudi Arabia, a monthly check is a good starting point. However, if your company is in a dynamic industry, currently running a major marketing campaign, or has recently undergone significant changes, checking on a weekly basis is advisable. Regular monitoring allows you to catch and address inaccuracies quickly, protecting your brand’s digital reputation before false information spreads and becomes more difficult to correct.
Does a single bad review cause an LLM to generate negative information?
A single negative review is unlikely to cause an LLM to generate consistently negative summaries on its own. These models analyze and synthesize information from a multitude of sources to determine overall sentiment. However, if there is very little other information available about your business, the weight of that one review could be magnified. The best defense is to ensure there is a healthy volume of positive and neutral information available across various reputable sites.
Is there a central database I can submit my business information to for all AIs?
No single, universal database exists for submitting your business information to all AI models. The most effective way to prevent LLMs from making things up about your business is to ensure your information is accurate and consistent across major online directories. This includes your Google Business Profile, industry-specific listings, and using structured data (Schema.org) on your own website. This creates a strong, verifiable signal for AI data crawlers.
Can I sue an AI company for making up false information about my business?
Pursuing legal action against an AI company in Saudi Arabia for generating false information is a complex and evolving area of law. Proving direct financial damages and establishing liability can be extremely difficult and costly. Legal consultation fees with a specialist lawyer could start from ﷼750 per hour. Before considering legal routes, the recommended first step is to use the feedback tools provided by the AI service to report the inaccurate information and request a correction.