Classic searchQuery → ranked results → click
Primary evidence includes impressions, rankings, clicks and organic sessions.
We help ambitious service brands become easier to discover, understand and choose across AI-assisted search—from site structure and content to authority and measurement.

Discovery changed
Traditional search can rank a page. AI-assisted systems may retrieve, synthesize, mention and cite sources—then a person may visit directly, through a referrer or later branded search.
Classic searchPrimary evidence includes impressions, rankings, clicks and organic sessions.
AI-assisted discoveryMeasure mentions, cited mentions, source diversity, observable referrals and leads separately.
Nexus AI Visibility Framework
Each component strengthens how your brand is discovered, understood, trusted and chosen.
Strengthen a core part of AI-assisted discovery.
Strengthen a core part of AI-assisted discovery.
Strengthen a core part of AI-assisted discovery.
Strengthen a core part of AI-assisted discovery.
Strengthen a core part of AI-assisted discovery.
Connect visibility to visits, enquiries and leads.
How we work
Inputs: markets, queries, competitors. Deliverable: evidence baseline. Typical time: 10–15 days. Done when every observation is reproducible.
Inputs: facts, offers, proof. Deliverable: priority commercial cluster. Typical time: 3–6 weeks. Done when pages are accessible and extractable.
Inputs: approved credentials and sources. Deliverable: corroboration map. Typical time: 4–8+ weeks. Done when source records are consistent and verified.
Inputs: analytics, CRM and test log. Deliverable: separated dashboard. Ongoing. Done when a controlled referral and lead can be traced.
Measurement preview
A clear view of how visibility develops into qualified website visits and enquiries.
Verified client path
The public case documents the sequence: launch state, implemented changes, observed AI discovery and a first-party lead record within the first month. It does not convert one lead into a universal performance promise.
Review the evidence standardServices
01You cannot improve AI visibility if mentions, citations, referrals, crawler activity and leads are mixed into one score.
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02Important service pages often contain attractive copy but lack extractable answers, entity relationships and decision-ready proof.
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03A brand can describe itself clearly and still remain hard to verify because independent corroboration is weak or inconsistent.
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04Crawler hits, human visits from AI tools and leads influenced by AI are different events and must be reported separately.
Explore service →Engagement ladder
Exact pricing depends on markets, languages, query-set size, implementation depth and analytics access.
Automated technical signals for one public URL. No live AI-platform queries.
Scope confirmed after baselineManual query sample, source review and prioritized evidence pack.
Scope confirmed after baselineOne priority offer rebuilt and measured end to end.
Scope confirmed after baselineEntity, content, authority and attribution work across a defined market.
Scope confirmed after baselinePlatform coverage
Live checks · search evidence · referral analytics
Live checks · search evidence
Live checks · citation evidence · referral analytics
Live checks · search evidence · referral analytics
Availability varies by market, account and date. Names identify measurement surfaces and do not imply partnership.
Resources
A practical definition of GEO, its limits and how it complements search.
Updated 13 Jul 2026 · Dmytro Vorobiov · 5 min readA decision-focused comparison without declaring traditional search obsolete.
Updated 13 Jul 2026 · Dmytro Vorobiov · 4 min readA careful model of retrieval, synthesis and source presentation.
Updated 13 Jul 2026 · Dmytro Vorobiov · 4 min readThe three signals teams most often mix up.
Updated 13 Jul 2026 · Dmytro Vorobiov · 4 min readA first-party analytics setup for ChatGPT, Perplexity, Copilot and other observable referrers.
Updated 13 Jul 2026 · Dmytro Vorobiov · 4 min readA clean separation of bots, fetchers, users and conversions.
Updated 13 Jul 2026 · Dmytro Vorobiov · 3 min readFAQ
Generative Engine Optimization is the practice of improving how AI-assisted search systems can retrieve, understand and verify a brand and its evidence.
SEO focuses on search-result visibility. GEO adds generated-answer visibility, citations and the evidence path from AI discovery to a human referral or lead.
AEO focuses on eligibility for direct answers. It overlaps with GEO, but GEO also covers entity corroboration, cited synthesis and AI-referral measurement.
Scope can include ChatGPT, Google AI experiences, Perplexity and Bing Copilot using live checks, search evidence and first-party referral analytics. Availability varies by market.
No. Generated answers are variable and controlled by third parties. We guarantee transparent work and evidence, never placement.
A diagnostic typically takes 10–15 business days. A focused pilot usually takes 3–6 weeks; larger programs are scoped in 90-day cycles.
Brand visibility, cited visibility, qualified website visits, enquiries and confirmed leads—mapped to the goals agreed for the project.
We connect relevant AI-assisted discovery with website activity and enquiry data, using the analytics already available to your team.
Approved service facts, markets, competitors, proof, analytics access when available and a clear owner for factual review.
Markets, languages, commercial clusters, query-set size, implementation depth, authority work and analytics complexity.
The first priority is local services, followed by professional services and B2B SaaS with established offers and real subject-matter evidence.
Yes. GEO should reuse sound technical SEO and content operations while adding source eligibility, entity verification and AI-specific measurement.
Start with evidence
The free check examines technical access, semantic signals and machine-readable files. It does not pretend to query every AI platform.