How do I update the information AI uses about my company

AI systems do not pull company facts from one master record. They blend your website, help docs, product pages, policies, press coverage, directories, and any connected knowledge base. If those sources conflict, ChatGPT, Gemini, Claude, and Perplexity can repeat the old version. To change what AI says about your company, update the sources it already reads, remove contradictions, and then verify the response against verified ground truth.

Quick answer

Update the pages AI cites most first. That usually means your homepage, about page, product pages, help center, pricing page, policy pages, and public profiles. Then check whether ChatGPT, Gemini, Claude, and Perplexity show the new facts.

If they do not, the problem is usually one of three things. A source is missing. A source still says the old thing. Or the model is pulling from a third-party page that you have not corrected yet.

How AI gets information about your company

AI answers usually come from a mix of sources.

• Owned content. Your website, help center, docs, blog, and policy pages.
• Structured signals. Clear page titles, headings, metadata, and schema.
• Third-party sources. News coverage, directories, review sites, partner pages, and analyst content.
• Connected knowledge bases. Internal systems that an agent can query.
• Model-specific retrieval. Each AI surface may favor different sources.

That is why one edit does not fix every result. AI visibility is a source problem first. It is not a copy problem alone.

How to update the information AI uses about your company

1. Audit what AI says right now

Ask the same question in multiple AI systems. Use the exact wording a buyer, customer, or reporter would use.

Capture four things for each answer.

• The wording.
• The cited source.
• The date or version.
• The error type.

Common error types include outdated pricing, wrong product positioning, stale policy language, and missing context.

2. Pick a source of truth for each topic

Do not let every team publish its own version of the facts.

Set one canonical source for each topic.

• Product facts.
• Pricing.
• Security and compliance.
• Company bio.
• Policies.
• Support guidance.

If internal agents answer from scattered raw sources, compile them into one governed, version-controlled knowledge base. That keeps the answer tied to one verified ground truth.

3. Update the pages AI is most likely to cite

Start with the pages that matter most to customers and compliance teams.

• Homepage.
• About page.
• Product pages.
• Pricing page.
• Help center.
• Policy pages.
• Release notes.
• Leadership bios.

Use plain language. State the fact directly. Add dates when the information changes often. If something is time-sensitive, say so.

4. Remove contradictions across channels

AI systems notice conflict.

If your website says one thing and your help center says another, the model may use either one. If your sales deck says one thing and your policy page says another, the inconsistency can show up in the answer.

Make sure these sources match.

• Website.
• Knowledge base.
• Support docs.
• Sales materials.
• Internal policy docs.
• Public profiles and directories.

5. Fix the third-party sources that still point to the old story

A lot of AI answers depend on public web sources you do not own.

Update the places that commonly show up in citations.

• Industry directories.
• Partner pages.
• Newsrooms.
• Analyst profiles.
• Review sites.
• Public FAQs.
• Press releases.

If a third-party page still has the wrong fact, AI may continue to repeat it even after you update your site.

6. Add structure where the answer needs precision

AI handles clear structure better than vague copy.

Use:

• Short definitions.
• Question and answer sections.
• Tables.
• Version numbers.
• Dates.
• Explicit policy language.
• Source links.

This helps AI systems find and reuse the right passage. It also helps people verify the answer.

7. Verify the change after publishing

Do not assume the update worked just because the page changed.

Re-run the same prompts after your edits go live. Compare the new answers with the old ones. Check whether the source changed. Check whether the wording changed. Check whether the model now cites a current page.

If the answer is still wrong, the issue is usually one of these.

• The page is not visible enough.
• The old page still exists.
• A third-party source is stronger.
• The model is using a different retrieval path.

What to update first by scenario

If AI is wrong about...	Update first	Why
Product features	Product pages and release notes	These pages should carry the clearest current facts
Pricing	Pricing page and sales FAQ	Direct pricing statements are easy for AI to cite
Policies	Policy pages and help center	Current policy language matters more than marketing copy
Company bio	About page and leadership bios	These pages anchor company identity
Brand position	Homepage and category pages	AI often summarizes from positioning language
Compliance claims	Governance pages and approved statements	Regulated topics need verified wording

When Senso fits

If you need proof, not guesswork, Senso helps.

Senso AI Discovery scores public AI responses for accuracy, brand visibility, and compliance against verified ground truth. It identifies the specific content gaps driving the wrong answer. That matters when marketing and compliance need the same narrative in public AI results.

Senso Agentic Support and RAG Verification does the same for internal agents. It scores every agent response against verified ground truth, routes gaps to the right owners, and shows where the answer drifted.

Teams use Senso when they need a governed, version-controlled knowledge base instead of scattered raw sources. In regulated industries, that difference matters. Senso has helped teams reach 60% narrative control in 4 weeks, 0% to 31% share of voice in 90 days, 90%+ response quality, and 5x lower wait times.

Common mistakes to avoid

Trying to edit the model directly

You usually cannot push one correction into every AI system. You need to change the sources the system reads.

Updating only the homepage

AI often cites help docs, product pages, and third-party pages. A homepage edit alone is usually not enough.

Leaving old pages live

Stale pages create conflict. If a page is outdated, update it or remove it.

Writing in vague marketing language

AI works better with direct claims than broad positioning copy.

Ignoring compliance review

If the topic involves policy, pricing, medical claims, financial claims, or security language, get approval before publishing.

How long does it take?

It depends on where the wrong information lives.

• Owned pages can change quickly.
• Help docs and knowledge bases can change quickly if they are well structured.
• Third-party pages take longer.
• AI answers may lag behind your update until the source is re-crawled or re-indexed.

If you need a fast read on what is driving the wrong answer, a baseline audit helps.

FAQs

Can I update what ChatGPT says about my company directly?

Not directly. You update the sources ChatGPT and other systems use, then verify whether the answer changes.

Why does AI still show old information after I updated my site?

The model may still be citing an older page, a third-party source, or a conflicting statement on another part of your site.

What is the fastest way to improve AI visibility for my company?

Start with the pages AI cites most often. Fix the wrong facts. Remove contradictions. Add explicit, source-backed statements.

Do I need a knowledge base for this?

If your company has multiple teams, changing policies, or internal agents that answer questions, yes. A governed compiled knowledge base makes the source of truth consistent.

How do I know the answer is correct?

Check the cited source. Compare it to verified ground truth. If the answer cannot be traced to a current source, it is not ready for regulated use.

If you want a baseline audit, Senso offers one at senso.ai with no integration and no commitment.