Foundation
Technical SEO & Site Architecture
Crawl architecture, robots.txt and sitemap configuration for AI bots, Core Web Vitals (LCP, INP, CLS) against 2026 thresholds, mobile performance, JavaScript rendering analysis, and internal linking structure. The layer that determines whether search engines and AI crawlers can access, parse, and trust the content on a site. Without this, every other layer underperforms regardless of quality.
All engagements
Foundation
GEO & AEO Implementation
Schema markup (Organization, FAQ, HowTo, Article, LocalBusiness, Product), structured data implementation and testing, answer-first content formatting (inverted pyramid, question-based headings, direct answer + depth structure), LLMrefs and LLMs.txt configuration, and platform-specific optimization for ChatGPT, Perplexity, Google AI Overviews, Gemini, and Microsoft Copilot. GEO — Generative Engine Optimization — is the practice of building content and technical infrastructure so AI systems select and cite a brand when synthesising answers. AEO — Answer Engine Optimization — ensures content is structured so AI extracts it as the direct answer. Both are required; neither works without the other.
All engagements
Authority
Entity Authority Building
Knowledge Graph optimization — ensuring the brand exists as a recognized, distinct entity in Google's knowledge graph. Wikipedia and Wikidata presence establishment and maintenance, where notability criteria are met. NAP (Name, Address, Phone) and brand information consistency across the web, with specific attention to the domains and platforms that AI systems weight most heavily as citation sources. AI systems cite sources they recognize as authoritative entities — this is what builds that recognition over time.
All engagements
Content
Expert-Sourced Content Strategy
Interview-based content built around information gain — not AI-generated filler. The methodology: identify the specific questions buyers are asking AI systems, interview the client's subject matter experts to extract answers that AI cannot generate from training data, structure that expertise into citable, answer-optimized content. One long-form piece per month at entry tier; two to three pieces at growth and enterprise tiers. Content that an LLM could have produced does not get produced. If the sentence could be guessed, it gets cut.
All engagements
Growth
Conversion Architecture & CRO
Funnel analysis from AI-sourced traffic to conversion, landing page structure and hierarchy optimization, CTA testing, friction identification, and micro-conversion tracking configuration in GA4. Traffic sourced from AI citations converts at higher rates than traditional search traffic — the conversion layer exists to capture that value rather than let it bounce. Includes quarterly conversion reporting tied to revenue attribution.
Growth & Enterprise
Growth
Email Lifecycle & Marketing Automation
Full customer journey architecture built on first-party data — not newsletters. Onboarding sequences, mid-funnel nurture flows, reactivation campaigns, post-purchase retention, and lifecycle triggers based on behavior signals. The goal is a system that compounds over time: each contact who enters the list becomes more valuable with each touch, rather than being batched and blasted to the point of churn. Built on the client's existing platform (HubSpot, Klaviyo, ActiveCampaign, or equivalent).
Growth & Enterprise
Strategic
Paid Media Strategy
Channel allocation, budget sequencing, audience architecture, and creative strategy advisory — not campaign management. The insight from GEO and organic work informs paid targeting: which queries are driving AI citations, which buyer segments are researching via AI, and how paid and organic can reinforce each other rather than duplicate effort. Platform-specific media buying is handled by the client or a separate specialist; Meridian Search provides the strategic direction that makes that spend more efficient.
Enterprise only