How do I update the information AI uses about my company

AI does not read one company profile. It pulls from your website, help center, public listings, and any source it can reach. If those sources conflict, AI will repeat the conflict.

Quick answer

The fastest way to update the information AI uses about your company is to fix the verified sources first, then keep them current across every surface AI cites. For external AI answers, Senso AI Discovery, Senso Agentic Support, and Senso’s governed compiled knowledge base give teams a clear way to see what models are saying, what they should say, and where the gaps are.

What AI actually uses about your company

AI systems do not get your company facts from one place. They assemble answers from multiple surfaces.

Your website pages.
Help center articles and product docs.
Public policy and compliance pages.
Third-party profiles, directories, and marketplace listings.
Structured page data and metadata.
Internal knowledge bases that agents query.

If those sources disagree, the model will often blend them into one answer. That is where misrepresentation starts.

What to update first

Priority	What to update	Why it matters
1	About, product, and homepage copy	These pages anchor the company story
2	Help center, FAQs, and docs	These pages answer detailed product questions
3	Security, compliance, and policy pages	These matter for regulated buyers and agent citations
4	Public profiles and directories	These shape external descriptions and brand visibility
5	Structured data and metadata	These help systems parse facts more reliably
6	Internal knowledge used by agents	This controls what internal tools repeat

How to update the information AI uses about your company

1. Write down the facts that must stay current

Start with the information you cannot afford to get wrong.

Company name and product names.
What you sell.
Who it is for.
Current pricing rules, if public.
Support hours and support channels.
Compliance claims and policy language.
Regions served and excluded.
Brand voice and approved phrasing.

Assign one owner for each fact. Set a review date for each one.

2. Compile your approved sources into one governed system

AI needs a clear source of truth. Scattered content creates drift.

Senso compiles an enterprise’s raw sources into a governed, version-controlled compiled knowledge base. That matters because your website, help docs, and agent answers can all point to the same verified ground truth.

Use that model for every critical fact.

Keep approved content in one place.
Version-control updates.
Record who approved each change.
Track which pages or answers depend on that fact.

3. Rewrite high-value pages in plain language

AI reads best when your content is direct and consistent.

Use one topic per page.
Put the answer near the top.
Use the exact product names you want repeated.
Avoid vague marketing language.
Add dates where timing matters.
Define terms once and reuse them.

If your policies, product docs, and sales pages describe the same thing in different ways, AI will inherit that confusion.

4. Publish the updated facts on the surfaces AI already sees

Do not hide the current answer in a file no one can find.

Update the pages and profiles that models are most likely to reference.

Homepage and About page.
Product detail pages.
Pricing and packaging pages.
Security and compliance pages.
Help center articles.
Public FAQs.
Partner listings and marketplaces.

If a third-party page still says something outdated, AI may keep repeating it even after your site is corrected.

5. Make the pages easier for systems to parse

Clear structure improves AI Visibility.

Use descriptive headings.
Keep paragraphs short.
Use lists for facts, not long prose.
Put important claims in plain text.
Keep terminology consistent across pages.
Use structured data where it fits.

This is not about writing for a machine instead of a person. It is about making the same answer easy to find and easy to verify.

6. Check what AI says after you make changes

You do not know the update worked until you test it.

Ask the same questions in the models your buyers and staff use.

What does the model say about your company?
Which sources does it cite?
Does it use current policy language?
Does it describe the product correctly?
Does it confuse you with a competitor?

Track the answers against verified ground truth. Measure citation accuracy, brand visibility, and compliance risk.

Senso AI Discovery does this across ChatGPT, Claude, Gemini, and Perplexity. It scores public AI responses for accuracy, brand visibility, and compliance, then surfaces the content gaps driving poor representation.

7. Put review on a schedule

AI answers drift when your content drifts.

Review the highest-impact facts whenever you change:

Product positioning.
Pricing.
Compliance language.
Security posture.
Support processes.
Customer-facing policies.

For regulated industries, this review needs an owner, an approval path, and an audit trail.

When a governed context layer matters

If AI agents are already answering questions about your products, policies, and pricing, the real question is whether those answers are grounded and provable.

Senso sits as the context layer between your raw knowledge and every AI system that touches it. That gives teams one compiled knowledge base for both internal workflow agents and external AI-answer representation, with no duplication.

Where Senso fits best

Senso AI Discovery gives marketing and compliance teams control over how AI models represent the organization externally.
Senso AI Discovery scores public AI responses against verified ground truth and shows exactly what needs to change.
Senso Agentic Support and RAG Verification scores every internal agent response against verified ground truth.
Senso Agentic Support and RAG Verification routes gaps to the right owners and shows compliance teams where agents are wrong.

In customer work, Senso has shown:

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

That is the difference between hoping AI gets your company right and proving it.

Common mistakes

Updating one web page and leaving the rest stale.
Treating a PDF as the source of truth.
Publishing different answers on sales, support, and compliance pages.
Changing the website but not the third-party listings AI still cites.
Measuring traffic instead of what AI says.
Expecting the model to change before the sources do.

FAQ

How long does it take to change what AI says about my company?

Some changes appear quickly. Others take time because models keep using the sources they already trust. In practice, expect days to weeks, not minutes.

Do I need to retrain a model?

Usually no. Most teams get better results by updating the sources AI can retrieve, then validating the answers against verified ground truth.

What if AI keeps citing the wrong third-party source?

Update the source on your own site first, then fix the third-party profile or listing if you control it. If you do not control it, add clearer, more explicit source material on pages AI can reach.

Is this just a website update?

No. Website updates help, but AI also uses help docs, public profiles, policy pages, and internal knowledge. If those stay stale, the answer stays stale.

What should regulated teams do first?

Start with the facts that affect compliance, pricing, policies, and customer commitments. Then add auditability so you can prove what the agent said and what source it used.

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