Why AI Assistants Cite Your Old Pricing While Ignoring Your New Update

# Why AI Assistants Cite Your Old Pricing While Ignoring Your New Update

AI assistants often cite outdated information about your company because they were trained on a static snapshot of the internet, and they have no built-in mechanism to detect or prioritize your newer content over older versions of the same claim.

## Key takeaways

- AI models have knowledge cutoff dates; content published after training stopped won't appear unless the model has retrieval enabled. - When both old and new versions exist, AI assistants may cite the older one if it appeared in more training documents or was more widely linked. - You can't force a model to "forget" old information, but you can make new content so visible and authoritative that it becomes the default citation. - Auditing which version an AI cites requires testing the same query across multiple models and checking source attribution.

## The mechanics: why old information sticks around

AI assistants work in two modes: generation from training data, and retrieval-augmented generation (RAG), where they search the web or a knowledge base in real time. Understanding which mode is active—and when—explains why your pricing update doesn't immediately replace the old version.

### Training data has a cutoff date

ChatGPT's knowledge cutoff is April 2024. Claude's is early 2024. Gemini's varies by model. Any content you published after those dates won't appear in the base model's training data. If your pricing changed in June 2024, a model trained through April won't know about it unless retrieval is triggered.

### Retrieval doesn't always prioritize recency

When an AI assistant does search the web (or your site), it doesn't automatically rank results by publication date. It ranks by relevance, authority, and how often a claim appears across multiple sources. If your old pricing page was linked from industry directories, competitor comparisons, or archived reviews, it may score higher than your new pricing page—even if the new one is on your homepage.

### Multiple versions of the same claim create ambiguity

If both your old and new pricing pages are still live and indexed, an AI assistant may treat them as conflicting sources. In that case, it often defaults to whichever version appeared in more training documents or has more backlinks. Older content tends to accumulate more links over time, so it wins by default.

## Why this matters for your brand

When an AI assistant cites outdated information about you—especially pricing, feature availability, or positioning—it shapes how prospects understand your offer. A prospect asking Claude about your plans will get an answer that may be months old. If a competitor's information is fresher, the AI may cite them instead, even if your product is better.

This is different from a stale Google result. Google shows you a link; you can click and see the current page. AI assistants present information as fact, with a source attribution that may be buried or unclear. The reader rarely digs into whether the citation is current.

## How to audit which version AI is citing

Before you can fix the problem, you need to know what each AI is actually saying about you.

### Step 1: Test the same query across models

Ask ChatGPT, Claude, and Gemini the same question about your product. For example: "What are the pricing tiers for [Company]?" or "What features does [Company] include in their pro plan?"

Note the exact answer and any source attribution. Take screenshots.

### Step 2: Check the source URL and publication date

If the AI cites a source, visit that URL. Is it your current page, or an old version? Check the page's last-modified date (visible in the HTML or via a tool like the Wayback Machine). If the AI is citing a page you updated three months ago, you've found your problem.

### Step 3: Search for competing versions

Google your key claim (e.g., "[Company] pricing plans"). How many versions of this information exist online? If your old pricing page ranks higher than your new one, that's why the AI is citing it.

### Step 4: Test with QueryOn

[QueryOn's free AI Visibility Snapshot](https://queryon.tech/snapshot) lets you see in real time which of your pages are appearing in AI answers, and which claims are being cited. This gives you a baseline before you make changes.

## Concrete steps to force a citation refresh

You can't delete what's in a model's training data, but you can make your new information so visible and authoritative that it becomes the default citation.

### 1. Consolidate to a single, canonical source

If your old pricing page still exists, don't just hide it—redirect it (301) to your new pricing page. This tells search engines and web crawlers that the new page is authoritative. Over time, this reduces the chance that an AI's retrieval system will find the old version.

``` Old URL: yoursite.com/pricing-2023 New URL: yoursite.com/pricing Action: 301 redirect from old to new ```

### 2. Update internal links and anchor text

If your homepage, product pages, or help center link to pricing, make sure they link to the new page. Use descriptive anchor text like "current pricing" or "2024 plans" rather than generic "pricing." This signals to AI retrieval systems that the new page is the authoritative version.

### 3. Publish answer-first content that cites your new information

Create a blog post or FAQ that directly addresses the old claim and corrects it. For example:

**"We updated our pricing in [Month]. Here's what changed."**

Start with the new pricing, then explain the change. Link to your new pricing page. This gives AI assistants a fresh, authoritative source that explicitly mentions the update.

### 4. Get external validation

Reach out to industry directories, review sites, and analyst reports that may have cited your old information. Ask them to update their pages to reference your new pricing or features. Each external link to the new version increases its authority in AI retrieval systems.

### 5. Use schema markup to signal current information

Add [schema.org](https://schema.org) markup to your pricing page—specifically `PriceSpecification` and `dateModified`. This helps AI systems understand that the information is current and structured. Here's a simple example:

```html <script type="application/ld+json"> { "@context": "https://schema.org", "@type": "Product", "name": "[Your Product]", "offers": { "@type": "Offer", "price": "99", "priceCurrency": "USD" }, "dateModified": "2024-11-15" } </script> ```

### 6. Monitor and re-test

After making these changes, wait 2–4 weeks, then re-test the same queries in ChatGPT, Claude, and Gemini. Screenshot the results. You should see the new information appearing more frequently. If the old version still dominates, you may need to escalate—for example, by publishing a high-authority piece (e.g., a founder post or press release) that explicitly references the new information.

## The role of content versioning in AI answers

Unlike traditional search, where Google crawls and re-indexes pages continuously, AI assistants operate on a mix of static training data and periodic retrieval. This creates a lag. Your new content is real, but it hasn't yet become the "default" answer in the model's training data.

This is where [understanding how to optimize for AI answers](https://kavio.tech/blog) becomes critical. It's not just about publishing; it's about making your new content discoverable, authoritative, and clearly marked as current.

## Frequently asked questions

**Q: How long does it take for AI assistants to cite new information?**

A: It depends on the model and whether retrieval is enabled. If an AI uses live web search (like Perplexity or ChatGPT with web browsing), new content can appear within days. If it relies only on training data, you're waiting for the next model update, which can be months or years.

**Q: Can I contact OpenAI or Google to ask them to update their training data?**

A: Not directly. You can't submit a correction to a model's training data. However, you can use the feedback tools in ChatGPT or Gemini to flag incorrect information, and you can optimize your site to be more visible to retrieval systems (which is what the steps above do).

**Q: What if a competitor's old information is cited more often than mine?**

A: This is a citation authority problem. The competitor's old content may have more backlinks or appeared in more training documents. The solution is to build authority around your new content: publish answer-first pieces, get external links, and use schema markup. Over time, your new content will accumulate authority and become the default citation.

**Q: Should I keep my old pricing page live, or delete it?**

A: Redirect it, don't delete it. A 301 redirect tells search engines and AI systems that the new page is the authoritative version. Deleting it (404) can confuse systems and may cause the old cached version to rank higher.

**Q: How do I know if my content is "answer-ready" for AI?**

A: Answer-ready content starts with a clear, complete answer in the first sentence. It uses structured data (schema markup), includes lists and tables, and links to authoritative sources. It's designed to be quoted or cited directly by an AI assistant.

## Next steps

Start by auditing what AI assistants are actually saying about you right now. Use [QueryOn's free AI Visibility Snapshot](https://queryon.tech/snapshot) to see which of your pages are appearing in AI answers, and which claims are being cited. Then apply the steps above to consolidate around your new, authoritative version.

If you're managing multiple product updates or positioning changes, this becomes a continuous process. The brands winning in AI answers aren't just publishing content—they're actively managing how that content appears across ChatGPT, Claude, Gemini, and other assistants.