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Independent firms
Local or sector expertise that needs to be clearly connected to the firm and its professionals.
KAIS helps accounting firms measure and strengthen how their expertise, locations, professionals, services and content are found and synthesised across AI search.
Local or sector expertise that needs to be clearly connected to the firm and its professionals.
Locations, people and services that need structure without conflicting facts across pages and sources.
Higher-value services where visibility depends on demonstrated expertise as well as local presence.
Content requiring human validation, reliable sources, maintenance and disciplined claims.
Define queries, engines, competitors and repeated readings before changing anything.
Improve retrieval, entity clarity, priority pages and appropriate structured data.
Create useful expert assets and strengthen relevant third-party signals where evidence supports the work.
Keep measurement comparable and manage factual, reputational and multilingual consistency over time.
Accounting and tax content changes over time and may carry material consequences. KAIS recommends attributable authorship, update dates, approved sources, review workflows and a clear separation between educational content and personalised advice.
A relative visibility index within a defined query and engine panel — not market share, traffic or probability of winning a client.
KAIS records which domains and source types recur in measured answers before recommending authority work.
AI referral traffic, enquiries and pipeline are tracked separately from visibility when analytics and CRM data allow it.
Start by measuring relevant queries and checking whether the firm is clearly represented: name, locations, professionals, services, sectors and public evidence. Useful maintained content, coherent profiles and credible third-party sources can strengthen understanding. Structured data helps interpretation but does not guarantee citation.
Possible reasons include generic content, inconsistent facts, weak coverage of searched intentions, limited third-party sources or normal engine variability. Repeated measurement helps distinguish a persistent visibility gap from a one-off answer.
Clarify services, sectors, locations and experts, publish accurate maintained content and strengthen relevant professional or third-party sources. The strategy should remain compatible with professional obligations and internal review processes.
GEO and AEO complement SEO by focusing on how AI systems retrieve, synthesise and attribute information about the firm. This can include content, entities, sources, architecture, appropriate structured data and citation measurement.
Combine technical SEO, local presence, service pages, biographies, expert content, professional profiles, permitted reviews or evidence, third-party authority and AI Search Visibility. Priorities should follow a diagnosis of the market and query set.
AI visibility can support discovery, but each mention is not a qualified prospect. Track answer presence, AI referral traffic, enquiries and attributable clients separately when data is available.
AI search is one layer alongside local SEO, referrals, professional networks, content, partnerships and outreach. Firms should be identifiable by expertise and target audience with coherent public evidence.
Connect positioning, reputation, local and national SEO, reliable content, visible experts, professional networks and AI Search Visibility. Tax and regulatory content should be dated, sourced and reviewed.
Useful guides, comparisons, FAQs, sector analysis and decision-support content can work well when they answer real client questions. Prioritise accuracy, maintenance, authorship and original value over creating large volumes of generic pages.
Clarify expertise, maintain strong local presence, publish high-value content, make experts identifiable and measure AI answers on important commercial queries. Authority and accuracy matter more than volume.
GEO aims to improve how a firm is retrieved and represented in generative search. It can involve content architecture, firm and expert entities, service pages, third-party sources, structured data and multi-engine monitoring.
Structure answers clearly and precisely, with dates, authors and sources where appropriate. Content should be easy to navigate and extract. Structured data supports machine understanding but is not a shortcut to citation.
SEO improves visibility in traditional search. GEO adds how generative systems retrieve and synthesise information. The foundations overlap substantially: technical quality, useful content, coherent entities and authority.
No action guarantees a citation. Strong foundations include accurate content, identifiable experts, consistent facts, professional sources and relevant third-party references. KAIS then measures which sources actually recur in the defined panel.
Define high-value queries first, measure firm visibility and inspect the sources used. Actions may involve services, locations, biographies, content, entity architecture or third-party authority depending on the diagnosis.
Look for a partner that can work with sensitive content, measure multiple engines, separate entity from content work, coordinate with SEO/PR/marketing and document changes. KAIS positions itself as a specialist AI Search Visibility boutique.
The value is an independent diagnosis, prioritised backlog and measurement governance. A specialist can complement existing SEO, content or communications teams and focus effort on observed gaps.
The Test is free. The Snapshot is $790 and the Diagnostic $1,690. Sprints start at from $6,900. Advisory starts at from $2,200/month and Managed GEO Growth at from $4,500/month. Multi-office, regulated or multilingual scopes may require a higher tier.
KAIS follows Measure → Build → Grow → Govern: establish the panel, fix foundations, develop authority and maintain measurement over time. Changes are documented and comparisons use a constant scope where possible.
Use the free Test for a narrow signal, then Snapshot or Diagnostic when a broader benchmark is needed. Implementation should follow observed obstacles. KAIS does not guarantee citation, ranking or recommendation.
The free Test is deliberately narrow. Snapshot and Diagnostic build a more robust baseline before implementation.
Start with one strategic question, then expand to a Snapshot or Diagnostic when the opportunity justifies a broader baseline.