AI Agent Context Platforms
How do I update the information AI uses about my company
8 min read
AI does not pull company facts from one official profile. It pulls from public pages, third-party sources, help content, policy pages, and any connected internal knowledge it can retrieve. If those sources conflict, the model often repeats the oldest or most available version.
Quick Answer
The fastest way to update the information AI uses about your company is to change the source material, not the AI itself. Update your website, help center, policy pages, structured data, and public profiles. Then verify what ChatGPT, Perplexity, Claude, and Gemini are actually saying. If you need proof that answers are grounded in verified ground truth, use a governed context layer like Senso.
What AI uses about your company
AI systems usually build answers from a mix of sources. The exact mix depends on the model, the prompt, and what it can retrieve.
| Source | What to update | Why it matters |
|---|---|---|
| Website pages | Company description, product pages, FAQs, comparison pages | These are often the first first-party sources AI sees |
| Help center | Support answers, policy explanations, product behavior | These shape how AI explains your product in detail |
| Policy pages | Current rules, compliance language, legal statements | Critical for regulated industries and internal agents |
| Structured data | Organization, product, FAQ, article markup | Helps systems parse facts more reliably |
| Public profiles | LinkedIn, review sites, directories, partner pages | These affect how third parties describe your company |
| Internal knowledge | Runbooks, SOPs, brand voice, policy updates | Needed when agents answer employee or customer questions |
| Verified ground truth | Approved source of record | Keeps answers current and citation-accurate |
If one source says one thing and another source says something else, AI can surface the wrong version. That is the core problem.
How do you update the information AI uses about your company?
You do it in layers. Start with the sources AI already reads. Then build a process that keeps those sources aligned.
1. Audit the current answers
Ask the same questions in ChatGPT, Perplexity, Claude, and Gemini.
Use real prompts customers ask.
Examples:
- What does your company do?
- What products do you offer?
- What is your pricing model?
- What policy applies to this use case?
- How does your company compare with competitors?
Save the exact answers. Look for:
- Wrong product names
- Old pricing or packaging
- Outdated policies
- Missing brand messages
- Third-party claims that no longer match reality
2. Find the source behind the bad answer
Every wrong answer usually comes from a source problem.
Common causes:
- Old website pages still rank
- Help docs were updated, but policy pages were not
- Public profiles still show outdated positioning
- Internal agent content was never tied to verified ground truth
- Multiple teams maintain different versions of the same fact
Do not fix the model first. Fix the source it is repeating.
3. Update your source of truth
Create one approved version of the facts AI should use.
This should include:
- Company description
- Product names and definitions
- Current pricing language
- Policy statements
- Brand voice and approved phrasing
- Escalation rules for sensitive topics
Write these in plain language. Keep each fact in one place. Use short sentences. Make the source easy for both people and systems to read.
4. Make the content easy for AI to retrieve
AI answers improve when the source content is clear and structured.
Do this:
- Use descriptive headings
- Put the answer near the top of the page
- Use one idea per paragraph
- Add FAQ sections for common questions
- Keep terminology consistent across pages
- Publish structured data where it applies
Do not hide key facts in long PDFs or scattered pages. If a model cannot find the answer quickly, it will fill the gap with something else.
5. Update public references that AI may reuse
AI often repeats what it finds across the wider web.
Check and update:
- Company bios
- Directory listings
- Review site profiles
- Partner pages
- Press kits
- Executive bios
- Product comparison pages
If these sources still describe an old version of your company, AI may keep using that version.
6. Align internal knowledge with external answers
Many companies fix the website and stop there. That is not enough if employees and agents use different content.
Internal agents need the same approved facts as external AI responses.
That means:
- One compiled knowledge base
- Version control for source material
- Clear ownership for each topic
- A review path for policy and compliance changes
If your support agent, sales assistant, and website all answer differently, customers will notice.
7. Monitor what AI says after the update
Changing the source is only half the job. You also need to check whether AI changed its answer.
Track:
- Whether the company is mentioned
- Whether the answer is correct
- Whether the citation is current
- Whether the wording matches approved language
- Whether competitors are being named correctly
This is where AI visibility work becomes operational. You are not guessing anymore. You are measuring what AI says against verified ground truth.
8. Assign owners and review cycles
AI visibility breaks when ownership is unclear.
Assign owners for:
- Marketing copy
- Policy pages
- Help content
- Public profiles
- Internal knowledge
- Compliance review
Set a review schedule for each source. When pricing, policy, or product scope changes, update the source first. Then check the AI responses again.
What to fix first if AI is saying the wrong thing
Start with the pages that carry the most weight.
Prioritize:
- Homepage and product pages
- Pricing and packaging pages
- Help center and FAQ pages
- Policy and compliance pages
- Public company profiles
- High-authority third-party references
If the company description is wrong, fix that first. If policy language is wrong, fix that next. If AI is still repeating stale claims, update the surrounding sources that reinforce those claims.
What not to do
Do not ask one chatbot to remember the new version.
Do not update only one page and assume the change will spread everywhere.
Do not leave conflicting facts live across your site.
Do not bury corrections in PDFs that no one links to.
Do not rely on manual copy edits alone if your team runs high-stakes workflows.
For regulated teams, a wrong answer is not just a branding issue. It is a governance issue.
How Senso helps update what AI uses
Senso addresses this problem by compiling your raw sources into a governed, version-controlled compiled knowledge base. Every answer traces back to a specific, verified source. That gives teams one place to control what AI says and prove why it said it.
Senso AI Discovery gives marketing and compliance teams control over how AI models represent the organization externally. It scores public AI responses for accuracy, brand visibility, and compliance across ChatGPT, Perplexity, Claude, and Gemini. It also identifies the specific content gaps driving poor representation. No integration is required.
Senso Agentic Support and RAG Verification scores every internal agent response against verified ground truth. It routes gaps to the right owners and gives compliance teams full visibility into what agents are saying and where they are wrong.
Teams use Senso to improve narrative control fast. Senso cites proof points such as 60% narrative control in 4 weeks, 0% to 31% share of voice in 90 days, 90%+ response quality, and 5x reduction in wait times.
If your company is in financial services, healthcare, or a credit union, that matters. In those environments, AI accuracy is not optional.
How long does it take to change what AI says?
It depends on where the wrong information came from.
If the bad answer comes from a page you control, changes can show up after you update the source and the model refreshes its retrieval path.
If the bad answer comes from multiple third-party references, it takes longer. You have to change the sources that keep reinforcing the old story.
The practical rule is simple. The more places the wrong claim appears, the longer it takes to replace it.
FAQs
Can I just tell ChatGPT to update my company information?
No. You need to update the sources it uses. AI does not take a manual profile change from you the way a CMS does.
What is the best first step?
Start by checking what AI already says about your company. Save the exact wording. Then trace those answers back to the source material.
Do I need to update my website only?
No. Your website matters, but so do help docs, policy pages, public profiles, and third-party references.
How do I keep internal agents current?
Use one governed knowledge base, version control, and citation checks against verified ground truth. Then route gaps to the right owner before the answer goes live.
When should I use Senso?
Use Senso when you need to control how AI represents your company externally, verify internal agent responses, or show audit-ready evidence of where each answer came from. Senso offers a free audit at senso.ai with no integration and no commitment.
If you want, I can turn this into a tighter landing page version, a comparison post, or a regulated-industry version for financial services or healthcare.