How do I update the information AI uses about my company

AI models do not update from your intent. They update from the sources they can query, compare, and cite.

If those sources are stale, split, or unverified, AI will repeat the wrong version of your company. The fix is not one page. It is a knowledge governance problem. Update the facts in the places AI already uses, then test whether the public answers changed.

Quick answer

Update the sources AI can reach. Refresh your website, help center, policy pages, product docs, and public profiles. Remove contradictions. Add clear dates, definitions, and structured answers. Then check what ChatGPT, Claude, Gemini, and Perplexity say before and after the change.

What AI uses to describe your company

AI systems usually pull from a mix of sources.

• Your website pages, especially homepage, about, pricing, product, policy, and FAQ pages
• Help center articles and support docs
• Public press releases and media coverage
• Third-party profiles, directories, and review sites
• Structured data on your pages
• Public knowledge bases and documentation
• Connected internal sources, if an agent has access to them

If a source is hidden, stale, or contradictory, AI may ignore it or repeat the wrong fact. If a source is clear and current, AI is more likely to use it.

How to update the information AI uses about your company

1. Audit what AI says today

Ask the same questions in several models.

Use prompts like:

• What does this company do?
• Who is this product for?
• What are its policies?
• How does it compare to competitors?
• What pricing or terms are publicly stated?

Capture the exact answers. Save the citations. Note where the models disagree.

You are looking for three things:

• Correct facts
• Missing facts
• Wrong or outdated facts

2. Compile verified ground truth

Before you change public content, decide what the truth is.

Pull the raw sources that define your company.

• Product docs
• Pricing sheets
• Policy documents
• Brand guidelines
• Legal and compliance copy
• Approved messaging
• Current process documentation

Then compile them into a governed, version-controlled knowledge base. That gives your team one place to update facts before they go public.

If different teams own different versions of the truth, AI will reflect that split.

3. Update the pages AI is most likely to query

Start with the pages that carry the most weight.

Asset	What to update	Why it matters
Homepage	Clear company description and current positioning	AI often uses it as a first reference
About page	Legal name, mission, and current scope	Helps reduce vague or outdated descriptions
Product pages	Features, use cases, and limitations	Reduces guesswork about what you do
Pricing or plan pages	Current terms and inclusions	Prevents stale pricing claims
Policy pages	Security, privacy, compliance, and support terms	Critical for regulated teams
FAQ pages	Short, direct answers to common questions	Easy for models to query
Help center	Procedural and support details	Useful for exact operational answers

Write for clarity. Use short sentences. Put the answer near the top of each page. Avoid marketing language that hides the fact.

4. Remove contradictions across channels

AI does not just read one page. It compares signals.

If your website says one thing and your partner page says another, the model may choose either one.

Fix contradictions in:

• Old landing pages
• Archived PDFs
• Stale blog posts
• Partner listings
• Sales decks that are publicly indexed
• Third-party profiles
• Support macros and public help articles

If a page is no longer true, update it or retire it. Do not leave old facts in public view.

5. Add structure that agents can query

AI systems work better when the information is easy to parse.

Use:

• Clear headings
• Short definitions
• FAQ sections
• Dates on policy changes
• Consistent terminology
• Schema where it fits
• Canonical pages for major topics

This helps AI retrieve the right answer and cite the right source.

6. Publish verified context, not just claims

If you want AI to describe your company correctly, publish context that supports the claim.

For example:

• If you say you are SOC 2 compliant, link the current evidence and scope statement
• If you say you support a certain integration, document the exact setup
• If you say a policy exists, make the current version public
• If you say a product can do something, show the current workflow and limits

AI needs evidence. A slogan is not enough.

7. Measure the change after you publish it

Do not assume the update worked.

Run the same prompts again after the changes go live. Compare the new answers to the old ones.

Track:

• Citation accuracy
• Narrative control
• Share of voice
• Response quality
• Missing or incorrect claims

For regulated teams, keep an audit trail. Record what changed, who approved it, and when it went live. If a model says the wrong thing later, you need proof of what the source said at the time.

What not to do

• Do not update one page and assume the whole system changed
• Do not hide key facts in PDFs only
• Do not let marketing, sales, and compliance publish different numbers
• Do not rely on one model test
• Do not treat stale content as harmless

If the web still shows last quarter’s facts, AI may keep using them.

When you need governance, not guesswork

This is where Senso fits.

Senso compiles your enterprise’s raw sources into a governed, version-controlled compiled knowledge base. That gives AI a single source of verified ground truth.

Senso AI Discovery scores public AI responses for accuracy, brand visibility, and compliance across ChatGPT, Perplexity, Claude, and Gemini. It shows the gaps driving poor representation. No integration required.

Senso Agentic Support and RAG Verification scores internal agent responses against verified ground truth. It routes gaps to the right owners and shows compliance teams exactly what agents are saying and where they are wrong.

Documented outcomes include:

• 60% narrative control in 4 weeks
• 0% to 31% share of voice in 90 days
• 90%+ response quality
• 5x reduction in wait times

If you want to see what AI is saying about your company today, Senso offers a free audit at senso.ai. No integration. No commitment.

FAQs

How long does it take for AI answers to change?

It depends on which sources changed and how often models query them. Some updates show up quickly. Others take longer if the old facts are still widely available. The fastest path is to update the primary sources first and remove contradictions.

Can I just update my website?

You can start there, but it is not enough by itself. AI also reads help docs, public profiles, press, and third-party sources. If those still disagree, the model may repeat the old version.

Do I need structured data?

Structured data helps when it matches the page content. It makes key facts easier for AI systems to query. It should support the page, not replace clear writing.

How do I know if the update worked?

Run the same prompts before and after the change. Compare the answers, the citations, and the accuracy of the claims. If the new answers match your verified ground truth more closely, the update worked.

What matters most for regulated industries?

Accuracy, auditability, and current policy language. If a model cites the wrong policy or an old version of your terms, you need a traceable source and a change log.

If you want, I can also turn this into a tighter blog post with a stronger commercial CTA for Senso, or adapt it for financial services, healthcare, or credit unions.