KAIS helps real estate companies, brokerages, property advisers and developers measure and strengthen how they are found, understood and represented across AI search — especially in high-value, international and trust-sensitive markets.
AI search adds another discovery layer alongside Google, property portals, social platforms and referrals. KAIS does not treat this as a replacement for SEO. We measure where your brand appears, which sources shape those answers, where information is inconsistent, and which improvements are worth prioritising.
The methodology is particularly suited to real estate businesses whose value depends on expertise, market knowledge, reputation and cross-border trust.
Multi-agent and specialist firms that need consistent visibility across locations, property categories and buyer profiles.
Buyer-side, investment, relocation and advisory businesses where expertise and verifiable authority matter.
Developers and project brands that need clear entity architecture, source consistency and market-specific content.
Cross-border and high-value property businesses operating across languages, jurisdictions and source ecosystems.
Define the query territory, engine panel, competitors and repeated readings. Track KVS together with citation, prominence, source and accuracy signals.
Improve retrieval, entity clarity, market architecture, high-value pages, structured data and evidence across first-party sources.
Develop useful market assets, expert content, third-party authority and source coverage where the measurement shows genuine opportunity.
Maintain a stable measurement protocol, monitor misinformation and coordinate multilingual or multi-market changes over time.
Generated answers vary by engine, retrieval layer, model state, location and query context. KAIS therefore works with documented panels and comparable readings. We do not sell guaranteed citations, rankings or recommendations.
KVS is a proprietary relative visibility index within a defined query and engine panel. It is not market share, traffic or probability of winning a client.
We analyse the domains and source types that recur in measured answers so authority work is based on evidence rather than generic backlink quotas.
Where analytics and CRM data allow it, AI referral traffic, enquiries and qualified opportunities can be tracked separately from visibility metrics.
AI visibility is influenced by how clearly the company, its markets, services, people and evidence are represented across its own site and credible third-party sources. KAIS starts by measuring the queries that matter, then improves entity clarity, content retrieval, authority signals and source consistency. No optimisation can guarantee inclusion in a generated answer.
Different AI search surfaces use different retrieval systems, source sets and ranking logic. A company may be well represented in one engine and absent in another. KAIS therefore measures a fixed, documented panel and compares repeated readings rather than relying on a single answer.
Core facts should be explicit and consistent: legal brand name, markets served, property categories, services, office locations, languages, advisers or agents, credentials, contact details and editorial ownership. Important commercial claims should be supported by verifiable first-party or independent sources.
Appropriate Schema.org markup can help machines interpret entities and page purpose, but markup alone does not create authority or guarantee citations. It should support accurate page content, clean site architecture and consistent public information.
No. Search engines, AI answer systems, maps, portals, social platforms and direct referrals coexist. Technical SEO and indexable content remain important inputs. GEO and AEO extend the strategy to the way generative systems retrieve, compare, summarise and cite information.
The useful panel depends on the business model. It can include discovery queries, location and neighbourhood questions, buyer or investor comparisons, property-type searches, service questions, relocation scenarios, due-diligence questions and branded or competitor-comparison queries. The panel is fixed before comparative measurement.
Each market should have an explicit entity and content architecture rather than a collection of loosely translated pages. KAIS maps market, language, service and audience combinations, then keeps core brand facts consistent while allowing local expertise and sources to differ where necessary.
Yes. The methodology is suited to businesses where trust, expertise, source quality and high-value decisions matter. The scope can cover brokerages, property advisers, developers and other professional real estate services across European and Asian markets.
AI search systems may rely on sources beyond a company's website. Relevant independent media, recognised directories, professional profiles, research, market reports and other credible references can strengthen how an entity is understood. KAIS analyses which sources actually recur in the measured answers before recommending authority work.
Original research can be useful when it is genuinely informative, methodologically clear and maintained over time. Market reports, transaction insights, neighbourhood analysis or buyer guides can create authoritative material for clients, journalists and retrieval systems. Publishing volume alone is not a visibility strategy.
Expertise should be attributable to identifiable people and supported by substantive material: signed analysis, market commentary, transaction or project experience that can be disclosed, clear biographies, specialist pages and consistent external profiles. KAIS focuses on evidence and retrieval quality rather than keyword repetition.
KAIS uses a documented query panel and repeated readings across a defined set of AI search surfaces. The KVS is a relative visibility index used alongside share of voice, citation frequency, prominence, source patterns, sentiment or accuracy and, when available, AI referral traffic and qualified commercial outcomes.
No. KVS is a proprietary relative visibility index within a defined measurement panel. It does not represent market share, probability of winning a client, traffic or revenue. Those outcomes must be measured separately.
There is no universal timetable because results depend on the starting position, the engines, the market, technical constraints, content quality and third-party authority. KAIS commits to a defined scope, implementation priorities and comparable measurement—not to a guaranteed citation date.
AI Search Advisory is designed for organisations that already have internal marketing, SEO, content or agency resources and need measurement, strategy and prioritisation. Managed GEO Growth adds execution: priority page improvements, authority assets, entity work, source development and recurring measurement.
Yes. For many established real estate firms, KAIS works as the specialist AI Search layer. We can provide measurement, strategy, briefs and quality control while existing teams execute, or take responsibility for a defined managed workstream.
The Sprint is a six-to-eight-week foundation engagement. It typically covers baseline measurement, entity and technical diagnosis, priority obstacle removal, optimisation of selected high-value pages, authority assets, appropriate structured data and before-and-after readings. The exact scope is fixed before work starts.
KAIS public international pricing starts with a free AI Visibility Test, a $790 AI Visibility Snapshot and a $1,690 AI Search Diagnostic. GEO Foundation Sprints start at $6,900. Ongoing AI Search Advisory starts at $2,200 per month and Managed GEO Growth at $4,500 per month. Scope, market count and regulatory complexity can increase the engagement level.
No. Generated answers are variable and controlled by third-party platforms. KAIS guarantees the agreed methodology, measurement protocol, deliverables and implementation scope; it does not guarantee a ranking, citation, recommendation or commercial result.
Start with measurement. A free AI Visibility Test provides a narrow initial signal. The AI Visibility Snapshot is designed for a compact benchmark, while the AI Search Diagnostic provides a broader query panel, repeated readings, competitor analysis and a prioritised roadmap.
The entry products establish the baseline before implementation. Larger international or multi-market scopes move into Advisory, Managed GEO Growth, Authority or Enterprise programmes.
Start with a narrow visibility test, or use the Diagnostic when you need a documented multi-engine baseline and prioritised roadmap.