| Key Takeaways: Large language models (LLMs) and AI assistants like ChatGPT, Gemini, Claude and Perplexity don’t have an edit button that lets you directly correct inaccurate business information in their responses. Fixing outdated AI data requires updating the sources the AI pulls from, including your own website, Google Business Profile, local listings and other third-party directories. • Regularly Audit Your AI Presence – Query major AI platforms using common user questions about your pricing, location, business hours and services to catch any inaccurate brand information. • Document Every Hallucination or Misinformation – Take screenshots, timestamps and save the specific prompts used to create an evidence trail for tracking fixes over time. • Trace the Sources AI Is Citing – Check real-time citations or run targeted search queries to pinpoint the specific sources causing the misinformation. • Correct the Outdated Information at the Source– Update your website, clean up directory listings, align your Google and Bing business profiles and add schema markup to establish a unified source of truth. • Create Fresh Content That Contradicts Outdated Data – Regularly publish up-to-date content on your site to provide AI systems with strong, recent signals that actively overwrite old data. • Establish Ongoing Cross-Platform Monitoring – Set a quarterly schedule to audit AI platforms and catch new hallucinations before they compound. |
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Your business details and main offerings may have changed over the years, but LLMs and AI assistants are still surfacing outdated information about your brand without you knowing it.
In the AI era, your brand’s absence in AI responses is simply a marketing issue, but an information error is a direct revenue problem. Gartner estimates that stale brand information costs organizations at least $12.9 million annually.
Each bounced email or disconnected phone number represents a missed sales opportunity. And when potential customers rely on tools like ChatGPT or Gemini for quick recommendations, surfacing outdated information, such as old pricing or business hours, creates instant friction and breaks trust before a prospect ever reaches your website.
Now, more than ever, knowing how to correct outdated business details in AI is critical to protecting your bottom line.
What You’ll Learn:
• Why Outdated AI Business Information Is a Serious Threat
• What Type of Information Does AI Get Wrong Most Often About Brands?
• Where AI Gets Your Business Information
• How To Correct Outdated Business Information in AI
• When to DIY vs. Bring In an Agency To Fix Your Brand Information in AI
• FAQs About Fixing Outdated Brand Information in AI
Why Outdated AI Business Information Is a Serious Threat
AI answers are rapidly becoming your brand’s first impression. When LLMs surface incorrect details about your business, customers may act on that information before they ever reach your website, resulting in lost leads and reduced trust.
The scale of this issue is far larger than most realize:
1. AI can present outdated information confidently. A study by the European Broadcasting Union (EBU) and the British Broadcasting Corporation (BBC) evaluated over 3,000 AI responses and found that AI assistants misrepresent information in 45% of cases. While this study focused on news content rather than business information, it illustrates a pattern: AI assistants surfaced inaccurate news content in almost half of responses evaluated.
The same study found that 31% of AI outputs contained serious sourcing problems, such as citing outdated pages or inventing citations, while 20% contained major factual errors, including hallucinated details and stale data.
2. Customers may lose trust in your brand. After reviewing more than 32,000 facts from LLMs, a survey on AI misrepresentation for businesses found that 9 in every 100 AI-generated facts were false.
The figure may sound small, but if AI repeatedly surfaces false or outdated information about your brand, this can create confusion and damage customer trust. For example, your website says customers have 30 days to return an item. A customer then asks AI and is told they have 14 days. When they speak with a human representative, they receive a different answer.
Now, the customer has received three different versions of the same policy. Instead of gaining clarity, that inconsistency can make them question your credibility.
3. Outdated information can easily spread across multiple AI platforms. If several LLMs access the same outdated web sources, the same incorrect business information can appear in multiple places. When this happens, customers have little reason to question the wrong AI-generated output.
Consider what happens when a prospect asks ChatGPT for your business address and receives incorrect information. Let’s say your law firm has recently moved to a new location. Your website and Google Business Profile now list your new office, but ChatGPT still directs prospects to your old address. They then follow the directions, arrive at your former office and discover that your firm is no longer there.
If they’re looking for legal help on a tight timeline, they may simply contact another law firm instead. Now, you just lost a potential client without knowing about it. Correcting these underlying data errors is essential to protect your reputation and prevent qualified leads from leaking to competitors.
What Type of Information Does AI Get Wrong Most Often About Brands?
LLMs and AI assistants often get basic brand information wrong, especially pricing (13.5%) and funding and financial details (10.9%), which can change frequently.
Let’s look at the data:
Because AI pulls information from many sources across the web, outdated or conflicting information can easily make its way into an answer. Even the relatively stable data, such as products and services (8.6%) and company history (6.9%), have an error rate of more than 1 in 20.
This happens when old directory listings or other outdated pages contain information that conflicts with your official website. AI may pick up those details and present them with complete confidence.
Where AI Gets Your Business Information
AI isn’t inventing knowledge. It’s reflecting information it’s already seen and actively pulling from live internet content, including websites and public listings, to verify what a company offers.
Each data source has its own strengths and weaknesses:
| SOURCE CATEGORY | WHAT IT INCLUDES | STRENGTHS | WEAKNESSES |
|---|---|---|---|
| First-Party Business Information | • Website pages | • 100% controlled by your business | • Does not instantly override old training data |
| Business Listings and Local Data | • Google Business Profile | • Fast update propagation for local queries (hours, address, phone number) | • Frequently neglected by business owners (especially Bing Places) |
| Third-Party Content and Public Mentions | • News articles | • Essential for recommendation queries (e.g., “Which is the best agency for…?”) | • Outdated news or old complaint threads can continue to influence AI summaries |
| Licensed or Proprietary Data | • Academic journals | • More structured and reliable | • Narrower in scope |
Because Gemini and other LLMs synthesize multiple data points on the fly, if these upstream data sources contain outdated or conflicting information, every AI platform inherits the same errors. Remember, AI is only as smart as its inputs. This means that the more accurate and consistent your brand information is across these sources, the better your chances of ensuring AI surfaces accurate data about your brand.
How To Correct Outdated Business Information in AI
There is no direct fix for inaccurate business information in AI. Because LLMs dynamically generate answers by evaluating patterns across training data and live retrieval indexes, you cannot submit a ticket or request a manual update from OpenAI, Anthropic, Google or Perplexity.
To prevent AI misinformation and support your broader AI search engine optimization (SEO) efforts, you must execute a source-level strategy:
| HOW TO CORRECT OUTDATED BUSINESS INFORMATION IN AI IN 6 STEPS 1. Audit AI responses about your brand. |
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STEP 1: Audit AI Responses About Your Brand.
Most business owners have never actually checked. That is the honest starting point, and it takes only a couple of minutes. Open Claude or ChatGPT and ask questions using the exact language our prospects use, like:
⮞ What time does [business name] in [city] open on weekends?
⮞ Where is [business name] located?
⮞ What is the phone number for [business name]?
⮞ Does [business name] offer [products or services you no longer offer]?
Document every discrepancy with screenshots and the exact prompts you used to establish a baseline. Pay particular attention to repeated errors. If several platforms give you the same old address or phone number, that’s a strong indication that the information exists in one or more shared upstream sources.
STEP 2: Trace the Inaccurate Business Information to Its Source.
Once you know what AI is getting wrong, work backward. Look at the sources cited in the AI answer. Other LLMs, such as Perplexity and Google AI Overviews, may display clickable inline citation numbers and source cards that link directly to their original sources, making this step easier.
With other AI systems, you may need to search for the specific incorrect text in standard web search engines to see where that originally lived. The error usually traces back to an abandoned directory profile or an old article.
This step is also where you may uncover an entity confusion problem. If another company has a similar name, AI may combine information about the two businesses. In that case, simply adding more content to your own website may not solve the problem. You need to make the distinction between the two businesses clear across the sources that mention them.
STEP 3: Fix the Upstream Sources.
Address the data decay at the root, starting with the sources you can control:
• Your Website: Check your website carefully for outdated information in places that are easy to overlook, such as your footer, About page, service pages, contact page and older blog posts. Make sure the same business facts are presented consistently throughout the site.
• Directory and Business Profiles: Reclaim and update your Google Business Profile, Bing Places (critical for Copilot), Yelp (a primary local data source for ChatGPT following its 2026 licensing deal with OpenAI), Apple Maps and platforms like G2, Capterra or Trustpilot.
• Third-Party Publishers: Reach out to owners of outdated comparison articles or industry roundups. Providing them with your current product specs or pricing improves the quality of their content and fixes inaccurate input for future AI crawls.
The goal is to create one consistent version of your business information across the web.
STEP 4: Create Fresh Content That Contradicts the Outdated Information.
For LLMs that retrieve live web content, content freshness is a significant factor in AI citation. A well-structured article updated two weeks ago may outperform a comprehensive guide published three years ago for queries where current information matters.
Prioritize refreshing statistics and data-heavy content and pages that currently rank but are not cited by AI. You can also publish fresh content when a significant change needs to be established. This might include:
✓ A location-change announcement
✓ An updated service page
✓ A current company About Us page
✓ A new FAQ addressing common customer questions
✓ An announcement about a new product or service
✓ Updated information about your team or leadership
Here are more ways to signal content freshness to AI systems:
• Update [dateModified] in your schema markup to reflect when the content was last revised.
• Add a visible “Last Updated” date near the top of the page.
• Request re-indexing in Google Search Console.
STEP 5: Use Available Feedback or Reporting Tools on Individual AI Platforms.
While in-platform feedback controls are not direct support tickets, they serve as signals that an AI answer contains inaccurate or outdated information. The process will vary by platform. Some AI tools may let you rate an answer or submit written feedback, while AI-powered search experiences may provide options for reporting inaccurate information or problematic sources.
For instance, you can click the thumbs-down icon below the AI-generated answer Google AI Mode or Perplexity if the response was wrong or unhelpful.
STEP 6: Monitor the AI Answers Over Time.
Don’t expect an AI answer to change as soon as you update a website or listing. The update could take days or weeks, depending on when the relevant source is crawled and how the platform processes the information. Instead of checking once and assuming the problem is solved, check your AI presence again every 30 to 60 days and look for three things:
1. Cited Sources: Has the AI started using newer or more authoritative sources?
2. Factual Accuracy: Is the AI now giving the correct business information?
3. Sentiment: Is the way AI describes your business changing, especially if older reviews or negative information were influencing the description?
The goal is to see whether the information AI presents about your brand is moving closer to the current reality.
Additionally, if you originally asked, “What are the business hours for [business name]?” and found that ChatGPT gave incorrect hours, ask the same question again at your next scheduled check. Using the same prompts makes it easier to compare the results over time.
When to DIY vs. Bring In an Agency To Fix Your Brand Information in AI
Deciding how to address incorrect AI-generated information about your business usually depends on the scope and severity of the problem. While minor errors can often be handled in-house with a few quick updates, deep misinformation across multiple platforms requires a more specialized approach.
| SITUATION | RECOMMENDED APPROACH | WHAT IS INVOLVED |
|---|---|---|
| Minor Edits (Wrong hours, updated phone number, single location change) | DIY (in-house) | • Claiming primary profiles (Google, Bing) • Updating your website copy • Adding basic schema • Fixing a handful of local directory entries |
| Deep Misinformation (Conflicting data across dozens of old directories, mixed-up brand identities) | Agency/Specialist | • Full entity audits • Large-scale citation cleanup • Custom schema architecture • Continuous data enrichment • Technical Generative Engine Optimization (GEO) |
Before deciding on your strategy, assess whether your team has the time and technical bandwidth to trace upstream sources and conduct all the technical AI search optimization required on an ongoing basis.
If your answer is no, hiring an experienced AI SEO agency is often the most efficient path forward. Fixing AI brand hallucinations isn’t a one-time task; it requires ongoing cross-platform monitoring, source-level data reconciliation, schema deployment and systematic tracking across multiple channels. An experienced AI SEO firm brings the tools and technical expertise needed to trace deep-seated data decay and continuously safeguard your revenue and brand reputation while your team stays focused on your core business.
At Thrive Internet Marketing Agency, we have the expertise and technology to get you cited in LLMs and deliver the insights you can act on. Let us help you take control of your brand’s narrative across the AI search ecosystem. Contact us today.
Frequently Asked Questions (FAQs) About Fixing Outdated Brand Information in AI
DOES AI JUST USE DATA FROM THE INTERNET?
No. While public online data is a major source for popular AI models, they also rely on other types of training and information sources. Depending on the AI system, these can include licensed or proprietary datasets, academic and commercial databases, publisher archives, human-created training data and other sources.
CAN AI KNOW INFORMATION THAT ISN’T ONLINE?
Yes. AI models can contain information that came from training data, including licensed or proprietary datasets and other material that may not currently be available on the web. A model may also have learned information from a webpage that has since been changed or removed. For businesses, this means that taking down an outdated webpage does not guarantee that an AI system will immediately stop surfacing the information. The old information may still exist in other sources or in a model’s training data.
WHICH SOURCES SHOULD I GO FIX FIRST?
Start with the primary records and high-weight citation sources that LLMs crawl most frequently, including your own website, Google Business Profile, Bing Places, major review platforms and directories. If an AI platform cites a particular source for the incorrect information, prioritize that source. The BBC/EBU research found that outdated sources can directly contribute to inaccurate AI responses, making source quality and freshness important parts of the correction process.
CAN I MAKE AI STOP USING AN OLD LISTING?
You can reduce the likelihood of an AI system relying on an old listing, but you generally cannot directly control whether a particular AI platform uses it. First, try to have the listing corrected or removed by the website that publishes it. Then make sure your own website and major business profiles contain the current information. If the old listing is still appearing in AI-generated answers, use any available feedback or reporting mechanism to flag the inaccurate information. Keep in mind that AI systems can take time to reflect changes. An old listing may continue to appear if it has been incorporated into training data or if the page remains accessible to systems that retrieve web content.
CAN I CONTACT OPENAI OR GOOGLE TO CORRECT INFORMATION ABOUT MY BUSINESS?
You can use the feedback and reporting options provided by individual platforms when available, but these should not be treated as a direct business-information correction service. The more important step is to correct the upstream source of the information. If an AI system repeats an old address from a directory, reporting the AI’s answer does not update that directory. Correct the directory, update your own website and business profiles, then use platform feedback as an additional signal.
HOW LONG DOES IT TAKE FOR LLMS TO STOP SURFACING OUTDATED DATA?
There is no fixed timeframe. The answer depends partly on where the outdated information came from and how the AI system obtains information. A system that retrieves information from the web may pick up a corrected page after it is crawled again. Information that came from older training data can persist much longer and may remain until a later model update or retraining cycle. That means you should retest rather than assume a correction has taken effect. Use the same prompts from your original audit after making your changes and record whether the outdated information still appears.
WHICH DIGITAL MARKETING COMPANIES ARE BEST AT OPTIMIZING FOR LLM SEARCH?
Look for a digital marketing company with specific experience in AI SEO and ChatGPT advertising, rather than an agency that treats AI search as a simple extension of traditional SEO. A capable agency like Thrive understands how to improve a brand’s visibility across AI-powered search experiences while also addressing the sources that influence how a business is represented.
WHY DOES AI GIVE DIFFERENT ANSWERS ABOUT MY BUSINESS THAN GOOGLE SEARCH DOES?
Google Search and AI assistants don’t necessarily use information in the same way. A traditional search results page can show several webpages or other results that you can review yourself. An AI assistant may combine information from multiple sources and generate a single answer from that information. Depending on the platform and query, it may also use retrieved web content alongside information from its underlying model. This can produce a different result from what you see in a standard Google search.
