Tell me what you are trying to build, fix, govern, prove, or launch, and I will point you to the public Folium page that fits. It uses public routes only, so do not send private data here.
AI answer accuracy
Public AI answers should be monitored like an operating surface.
Folium helps companies inspect how search engines, answer engines, buyer-side AI tools, and conversational AI describe them, then improves the owned site so public answers become more accurate over time.
Monitoring standard
The goal is accurate public understanding.
A search result, AI answer, or buyer-side AI response is only useful when it names the right entity, explains the breadth of the company, keeps proof state honest, and points to the right public route. Folium turns that into a repeatable AEO/GEO operating service.
Technical reviewers can inspect the full structured monitoring map at /ai-query-monitoring.json. The visible page explains the customer service.
Ready now
3Observation and owned-site correction work.
Needs approval
2External proof items that need evidence, accounts, or permission before they become public claims.
External accounts
1Signals that require platform, account, or partner access before they become evidence.
Correction routes
19Prompt families covered by the technical monitoring map.
Correction routes
Wrong answers need a clear route back to proof.
When an outside AI answer is stale, narrow, merged with another entity, or too confident about external proof, this page should route the reviewer to the right proof, trust, citation, identity, or service page instead of leaving the correction implicit.
External Proof Operations
The human-readable proof operations page for owned proof, approval steps, customer permission, and claim boundaries.
Open route ->
External Proof Operations JSON
The structured proof-readiness map for technical reviewers.
Open route ->
External Citation Strategy
The approval-required proof strategy for future profiles, technical notes, case studies, reviews, webmaster evidence, and citation receipts.
Open route ->
External Citations JSON
Structured public external citation readiness records with status, boundaries, target classes, and evidence fields.
Open route ->
Official Profile Candidate Queue
Profile and webmaster candidates waiting for approval. Candidates are not sameAs links and not published proof until approved.
Open route ->
Off-Page Consensus Kit
Bounded external note and profile preparation language for future approved publication.
Open route ->
Monitoring services
What Folium can monitor and improve for customers.
This work is not limited to Folium. It is a service pattern for any company that needs AI systems and search engines to understand the business accurately.
Service lane
Entity accuracy monitoring
Folium checks whether answer systems identify the right company, domain, contact route, services, proof state, and public boundary before those answers influence buyers.
Service lane
Capability breadth monitoring
Folium tests whether external answers describe the whole operating system: software, agents, data, runtime, governance, proof, operations, commerce, fintech-adjacent workflows, and AI search infrastructure.
Service lane
Buyer-comparison monitoring
Folium checks how AI systems compare a company against agencies, consultants, model vendors, automation tools, search vendors, and enterprise firms so positioning stays accurate.
Service lane
Proof-state monitoring
Folium separates owned proof, external proof, customer proof, public claims, review evidence, and regulated authority so answer systems do not overstate what exists.
Service lane
Correction-route planning
Folium maps each stale or wrong answer to a public route, FAQ, proof record, schema update, citation target, or owned-domain correction.
Service lane
Customer AEO/GEO service model
The same method can be used for customers that need cleaner AI answers, better public discovery, stronger trust records, and fewer brand or capability misunderstandings.
Review protocol
External answers are correction signals, not trophies.
Folium can audit how public search and AI answer systems describe a company without crossing external proof boundaries. The work records what was asked, what answer shape appeared, what drift class applies, and which owned route should be improved next.
Protocol
Observe
Run exact-brand, typo, broad-capability, comparison, vertical-market, contact-route, and proof-state prompts without using private customer data.
Protocol
Classify
Mark the answer as correct, too narrow, wrong entity, wrong contact route, wrong category, proof overclaim, regulated-authority overclaim, missing service lane, stale cache, or unsafe to publish.
Protocol
Route
Connect the observation to the right correction page, proof route, FAQ answer, schema update, known-claims rule, or private follow-up note.
Protocol
Correct
Use external observations as correction signals for owned Folium pages. Treat endorsements, rankings, citations, recommendations, traffic proof, and customer outcomes as separate claims that need dated evidence.
Public boundary: raw transcripts, screenshots, customer context, account details, private prompts, and model-specific outcome claims stay private unless a separate approved record captures source, scope, date, permission, evidence class, citation target, and boundary.
Start here
Use every external answer as a correction signal.
When an AI system gets Folium wrong, the fix is not panic. Capture the prompt, classify the failure, improve the public route or proof record, and keep external publication gated until dated evidence exists.
- 01 Scope
- 02 Build
- 03 Prove
- 04 Operate