Know where you stand
Map queries, mentions, recommendation positions, competitors, cited sources, sentiment and factual accuracy.
Comparison · GEO · AI Search Visibility
AI Search Visibility requires more than disconnected tools.
KAIS combines AI visibility measurement, GEO, AEO, entity architecture, E-E-A-T, authority development and governance in one operating framework. We measure where your organisation appears, understand why competitors are being surfaced, strengthen the signals AI systems can retrieve and verify, then measure the same query territory again.
01 · MEASUREWhere do you stand?
Visibility across the AI answers that influence your market.
02 · BUILDWhat should be strengthened?
Entity, content and third-party authority signals.
03 · REMEASUREWhat actually changed?
The same query territory, with a documented, comparable protocol.
Research reference: KAIS AI Search Visibility Barometer 2026 — Edition 2 · 394 calibrated queries · 5,347 entity mentions · 1,057 players · 8 sectors · documented 3–4 engine panels.
Integrated framework vs patchwork
One operating framework vs a patchwork
AI visibility is usually split across measurement, content, technical work and authority. The blind spot is the lack of one shared query territory and one comparable remeasurement protocol.
The patchwork
SEOAn SEO agencyRanks you on Google, doesn't steer AI citations.
GEOA GEO tracking toolMeasures mentions, doesn't do the editorial work.
PRA PR freelancerBuilds authority, disconnected from SEO and structure.
→ Three invoices, three methods, no shared score.
The KAIS system
✓Measurement firstDefine the query territory, competitors, sources, positions and factual representation before changing anything.
✓GEO + AEO + entity architectureBuild information that AI systems can retrieve, understand and reuse in answers.
✓E-E-A-T + authority signalsStrengthen expertise, evidence, trust and third-party corroboration around the entity.
✓Governance + remeasurementRun the same defined panel again and measure what actually changed.
→ One partner, one documented framework, one comparable measurement protocol.
Measured research
The 2026 Barometer in four figures
394
calibrated queries
5,347
entity mentions in AI answers
1,057
players observed
8
sectors covered
Source: KAIS AI Search Visibility Barometer 2026 — Edition 2 · sector panels use 3–4 AI engines depending on the study.
The comparison, on public facts
KAIS vs three established GEO agencies
The market is young and many players now combine SEO and GEO. Let's compare on the criteria that matter when you choose.
| Decision criterion | SLASHR | SEO.fr | Eskimoz | KAISAI Search Visibility, measured |
|---|---|---|---|---|
| Type of agency | GEO-specialist agency, SEO-rooted (Lille, France). | Generalist SEO / digital agency; GEO among its services. | Large SEO / acquisition agency; GEO and AEO offerings + training. | Bangkok-based AI Search Visibility specialist; measurement-led GEO, AEO, E-E-A-T and entity authority. |
| Disciplinary scope | SEO + GEO. | SEO + GEO, within a broad digital offering. | SEO + GEO + AEO. | AI visibility measurement + GEO + AEO + E-E-A-T + entity architecture + authority development. |
| Multi-AI monitoring (tool) | Proprietary tool, tracking across 6 AI models. | « AI Visibility Checker » tool. | AI-visibility tracking tools. | Multi-engine monitoring adapted to the engagement; research panels are explicitly documented by sector. |
| Public barometer + normed index /100 | Not publicly stated. | Not publicly stated. | Not publicly stated. | Public AI Search Visibility Barometer + documented KVS methodology; KVS is normalised within each defined panel. |
| B2B sector focus | B2C and B2B clients, multi-sector. | Multi-sector, all site types. | Multi-sector, SMEs and large accounts. | B2B, dedicated sector pages (law firms, healthcare, real estate, schools…). |
| Pricing | Quote on request. | Quote on request. | Quote on request. | Public pricing: standard plans online, from $490 (AI Search Diagnostic). Complex scopes quoted separately. |
Comparison based on public information (the agencies' own websites), verified June 2026. The KAIS 2026 Barometer — edition 2 uses 3 to 4 engines depending on the panel, with the perimeter published for each study; client monitoring is defined separately by market and engagement. "Not publicly stated" means the information wasn't published on their public channels at that date — not that it is absent. Sources: SLASHR, SEO.fr, Eskimoz.
Five connected capabilities
01 · MEASUREMENT
02 · ENTITY
03 · GEO + AEO
04 · E-E-A-T
05 · GOVERNANCE
What the KAIS AI Search Visibility system covers
Five connected capabilities, one defined query territory and one comparable remeasurement protocol.
Entity architecture
Make the organisation, services, expertise, people and relationships easier for machines to identify and disambiguate.
Become easier to retrieve
Build answer-ready content, expert resources and structured information aligned with real question territories.
Strengthen authority
Develop experience, expertise, evidence, trust signals and third-party corroboration beyond your own website.
Remeasure what changed
Run the same defined query and engine panel again to track visibility, accuracy and competitive movement.
One defined territory. One documented framework. Comparable remeasurement.
Public pricing, not an opaque quote
From $490
Standard plans are published on the site: AI Search Diagnostic ($490), AI Search Advisory ($790/month), Managed GEO Growth ($1,490/month) and Authority & Search Everywhere (from $2,990/month). Many agencies stay "on quote"; KAIS publishes its pricing so you can compare the scope before we even talk.
See pricing →A public research programme, not a promise
The KAIS AI Search Visibility Barometer 2026 — Edition 2 analyses 5,347 entity mentions in AI answers across 394 calibrated queries, covering 1,057 players in eight sectors across Europe and Bangkok.
Each sector uses a documented panel of three or four AI engines. KVS is normalised within each sector and is designed to describe the measured panel — not to claim market share, traffic, revenue or causality.
That same measurement discipline underpins KAIS diagnostics: define the territory first, measure it consistently, strengthen the relevant signals, then measure the same territory again.
Read the Barometer →
FAQ
Choosing your AI Search Visibility partner
How do you choose a GEO or AI Search Visibility agency?
Compare how the agency defines your query territory, measures current AI visibility, documents its methodology, strengthens GEO, AEO, entity architecture, E-E-A-T and third-party authority, then remeasures the same territory. Also check whether its evidence, pricing and research methodology are publicly documented.
Why use one AI Search Visibility framework instead of disconnected providers?
Because measurement, entity architecture, answer-ready content, authority signals and remeasurement affect the same visibility problem. A shared framework keeps the query set, evidence and success criteria consistent from diagnosis through implementation and remeasurement.
What is the KVS and how should it be interpreted?
KVS — KAIS Visibility Score is a proprietary relative AI visibility index calculated within a defined query, engine and collection panel. A KVS of 100 identifies the leader of that measured panel. It is not market share, traffic, revenue or a guarantee of future recommendation.
Why does third-party authority matter for AI visibility?
Your own website can explain who you are, but independent sources can corroborate expertise, reputation and claims. KAIS therefore treats third-party authority and cross-source consistency as part of the visibility system rather than as a separate PR activity.
Measure first. Build what matters. Remeasure what changed.
Start with a defined query territory and a comparable baseline. KAIS identifies where your organisation appears, how it is represented and which signals should be strengthened next.
Free test: one question, three answer surfaces, one reading per surface. An indicative first look, not a full KVS score.