Every Zennith engagement follows the same three-phase structure: Audit, Build, Compound. Each phase opens and closes with a structured AI query audit: a defined battery of target queries run against ChatGPT, Perplexity, and Google AI Mode to measure citation share before and after. You are buying a documented shift in AI representation, not effort.
01
Audit
See exactly where you stand.
5 to 7 business days
Deliverables
- +Citation share baseline across ChatGPT, Perplexity, and Google AI Mode
- +20 target queries tested for your specific vertical and geography
- +Competitor citation analysis: who is appearing where you are not
- +Technical GEO audit: schema gaps, entity graph completeness, content structure
- +Bayesian Brain channel assessment: which of your current channels the model predicts will exceed target
- +Priority action list ranked by citation impact
Outcome
You leave the Audit knowing exactly where you are invisible to AI, which competitors are winning those queries, and what the highest-leverage interventions are.
02
Build
Deploy the infrastructure.
60 to 90 days
Deliverables
- +Full JSON-LD schema implementation across all pages (Organisation, Service, Person, FAQPage, industry-specific types)
- +Entity graph architecture: Wikidata entry, cross-platform entity validation, sameAs network
- +Answer-first content production for the 10 highest-value target queries
- +Authority signal seeding: earned media outreach to 3 to 5 vertical trade publications
- +Bayesian Brain budget model: posterior distribution analysis of your channel mix
- +Phase-Gate Citation Audit at 30 and 60 days to measure citation share improvement
Outcome
You leave the Build phase with a fully deployed GEO infrastructure, measurable citation share improvement, and a Bayesian model governing your budget allocation.
03
Compound
Infrastructure compounds. Campaigns do not.
Ongoing quarterly
Deliverables
- +Quarterly State of AI Search report for your vertical (original data, distributed to trade publications)
- +Earned media placement: 2 to 3 editorial mentions per quarter in vertical publications
- +Citation share monitoring: monthly audit of 20 target queries across all AI platforms
- +Bayesian Brain refinement: model updated with new performance data each quarter
- +Authority Web expansion: new cross-referencing sources added to the entity graph
- +Quarterly strategy review: citation share progress, competitive analysis, next-quarter priorities
Outcome
Citation frequency grows every month. The infrastructure built in Phase 02 does not stop working when you stop paying. It compounds. Each quarter adds new authority signals that AI engines use to verify and cite your brand.
Minimum Engagement
Zennith works with a small number of clients at any time to ensure the depth of engagement each vertical requires. The minimum engagement is a Phase 01 Audit, which can be completed as a standalone project or as the entry point to a full Build and Compound engagement.
Engagements are scoped individually based on the number of target queries, the number of verticals, and the competitive density of the market. The starting point is always the same: a Free AI Visibility Audit that shows you exactly where you stand before any commercial conversation begins.