AI Search Visibility · GEO
Keep your brand current — and cited — in AI search.
Knowledge Company finds outdated claims, verifies the correct information, publishes approved updates, and measures how ChatGPT, Gemini, Perplexity, Copilot and Google AI represent your company.
Send us one URL. We come back with the claims that have drifted, ranked by how much they matter.
Stale claims found
Sources verified
Pages ranked by impact
Audit snapshot
Verified
61%
Needs review
22%
Stale
17%
1,284
Claims scanned
218
Need attention
The audit
What you get back in five working days.
Send one URL. We scan every factual claim on the domain, check it against what is true today, and hand you the list ranked by what it costs you.
Stale claims by type
Pricing
34
Metrics
28
Features
21
Links
12
Comparisons
9
Where those claims surface
ChatGPT
46%
Perplexity
38%
Google AI
31%
Gemini
24%
Copilot
19%
Pages ranked by impact
01
/pricing
Old plan tiers quoted in 3 comparison answers
94
02
/integrations
12 of 32 integrations missing from the page
81
03
/customers
Customer count 4 years out of date
67
04
/blog/why-we-built-this
Positioning contradicts the current homepage
52
05
/docs/api
Two deprecated endpoints still documented
38
One URL is enough to start
Illustrative output. Your numbers will look different.
The problem
AI search can only use the knowledge it finds.
Your company changes continuously. Your published content does not.
01
Pricing changes, but comparison articles retain the old price.
02
New features launch, but older pages omit them.
03
Customer metrics improve, but AI systems keep finding the old numbers.
04
Product positioning evolves, but contradictory descriptions remain online.
05
Competitors publish newer evidence and win the citation.
Share of published claims still accurate
100%
88%
71%
54%
41%
Nothing was edited in this period. The page did not change — the company did.
Key idea
Being absent from AI answers is a visibility problem. Being represented inaccurately is a knowledge problem. Knowledge Company solves both.
Before and after
One claim, corrected end to end.
The same sentence, before we touched it and after it was verified.
Before
“Supports 12 integrations”
Published in 2024
AI repeats outdated information
Knowledge Company
Detects that the verified count is now 32
Connects the claim to product data
Routes the correction for approval
After
“Supports 32 integrations”
Updated and verified in 2026
Search engines receive the current version
Claim example
Outdated
Current claim
Supports 12 integrations.
Source of truth
Supports 32 integrations.
Suggested update
Supports 32 integrations — verified against product data.
Effect of one correction · illustrative
Same URL, same page, one verified claim replaced. Citation rate measured over the eight weeks either side of the update.
34%
Before
61%
After
Every correction carries its source, its owner, its approval history, the date it was updated, and every page where the same claim appears.
How it works
From stale claim to stronger AI visibility.
One loop, run continuously, with a person approving anything that matters.
You have read the method. Now see it run on your own pages.
We will run the first pass ourselves and walk you through what we found.
Measurement
Prove what changed.
What the dashboard reports once the loop has been running.
01
AI citation and mention rate
02
Competitive share of voice
03
Accuracy of AI answers
04
Percentage of claims currently verified
05
Average age of unverified claims
06
Time from source change to published correction
07
AI referral traffic, leads and revenue
Dashboard preview
Sample data
AI citation rate · % of tracked prompts
12
W1
15
W2
14
W3
19
W4
24
W5
28
W6
31
W7
36
W8
Competitive share of voice
Your brand
38%
Competitor A
27%
Competitor B
21%
Competitor C
14%
92%
Claims currently verified
34 days
Average age of unverified claims
2.1 days
Source change to published correction
From citation to pipeline
Answers citing you
3,120
Baseline
AI referral sessions
1,810
58% of citations
Qualified leads
214
11.8% of sessions
Opportunities
41
19% of leads
Every stage is reported against the pre-audit baseline, so the effect of a correction is attributable rather than assumed.
A freshness score is a diagnostic, not the result. What you are buying is citations, accurate recommendations and revenue.
Where we differ
GEO monitoring tells you that you are losing. Knowledge Company helps fix why.
Most tools in this category report the symptom. The repair is the part nobody owns.
AI visibility tracker
Shows whether your brand appears.
Content generator
Produces additional pages.
SEO platform
Tracks rankings and technical performance.
Knowledge Company
Finds stale claims, verifies corrections, publishes updates and measures their effect.
Key idea
We optimise claims — not merely prompts or pages.
Evidence
Why freshness matters in AI search.
Three findings that explain why recency changes what AI systems retrieve and repeat.
Relative age of cited content
AI-cited URLs
74
Google organic
100
AI-cited URLs were 25.7% newer than the organic results for the same queries.
Models preferring recent content
M1
M2
M3
M4
M5
M6
Every model tested preferred the recent version of otherwise identical content.
Freshness is not changing a date. It means making a substantive, verified improvement to the information AI systems retrieve.
Who it is for
Built for teams whose facts move faster than their pages.
The pattern is the same everywhere: the company changed, the archive did not.
Before you ask
The questions that decide this.
Do you rewrite our content?
No. We propose the smallest correct change and route it to whoever owns the page. Nothing publishes without an approval.
What counts as a source of truth?
Your product data, approved documents, analytics or CRM — whatever you already treat as authoritative. We check against that, not against the open web.
Will editing pages hurt our rankings?
We keep the URL, the publish date and the structure. A substantive, verified update is what search systems reward; the risk sits with leaving the page wrong.
Do you need access to our CMS?
Not for the audit. Publishing in place needs a connection, and we scope that only after you have seen the findings.
How is this different from a visibility tracker?
A tracker tells you your share of voice is falling. We find the claims causing it, verify the replacements and publish them.
What if we disagree with a correction?
Then it does not ship. Every proposed change carries its source so the owner can judge it in seconds rather than re-researching it.
Also available for
Start with your website
Find out what AI search is learning from your outdated content.
Send us your website. Knowledge Company will identify stale claims, citation gaps and the pages most worth refreshing.
No install, no CMS access needed for the audit

