Search & Performance Growth

Generative Engine & Answer Optimization (GEO)

Structure your pages, entity graphs, and passage vectors to earn factual citations across ChatGPT, Perplexity, Claude, and Google AI Overviews.

Generative Engine Optimization prepares your digital brand for conversational search engines and answer bots. We audit your retrieval-augmented generation (RAG) profile, verify server logs for AI crawler activity (GPTBot, ClaudeBot, PerplexityBot), and refactor long-form content into focused 200 to 400 word semantic capsules that models cite directly. With nested JSON-LD schema markup, Wikidata alignment, and third-party citation seeding on trusted review hubs, we protect your brand against zero-click traffic loss.

⏱ Timeline4 to 8 Weeks implementation; 3 to 6 Months compounding citation velocity
🛡 Delivery ModelAudit sprint + recurring retainer
Core Tech Stack:OpenAI ChatGPTAnthropic ClaudePerplexity AIGoogle AI OverviewsJSON-LDSchema.orgWikidataFastAPI

By Ramzi Ahmad, founder

Typical timeline: 4 to 8 Weeks implementation; 3 to 6 Months compounding citation velocity. Quoted after a free call, with the price fixed in writing before work starts.

Proven Engineering Workflow

How Zebeh Executes This Service: Step-by-Step

No black-box ambiguity. Transparent sprint milestones with direct engineering review at every phase.

01

RAG Audit & Telemetry Verification

We analyze your server logs for AI crawler access and measure current citation presence across primary foundation models.

Stage 1 Milestone
02

Entity Graph & Passage Engineering

We refactor web content into semantic 200-400 word chunks and deploy nested JSON-LD schema with Wikidata reconciliation.

Stage 2 Milestone
03

Authority Seeding & Citation Building

We systematically earn authoritative mentions across key review hubs and publishers indexed by retrieval pipelines.

Stage 3 Milestone
04

Telemetry Tracking & Drift Remediation

We monitor Share of Model, citation sentiment, and prompt displacement, recalibrating content as models update.

Stage 4 Milestone
Scope of Work

Exact Deliverables Included in the Agreement

Everything you receive upon completion. Zero hidden charges, zero surprise omissions.

Deliverables in the agreement
Diagnostic RAG audit evaluating retrieval probability across ChatGPT, Claude, Perplexity and Google AI Overviews
Comprehensive server log analysis verifying crawler bot access, crawl rates and token ingestion
Nested JSON-LD schema implementation defining Organization, Service, Product and FAQPage entities
Entity linking and disambiguation with Wikidata, Google Knowledge Graph and industry directories
Restructuring long-form web content into modular, self-contained semantic answer capsules
Implementation of llms.txt and llms-full.txt machine-readable documentation endpoints
Third-party citation strategy to build mentions on high-authority sources cited by answer engines
Deployment of automated Share of Model monitoring across targeted buyer query sets
Quarterly vector embedding reviews and prompt shift analysis

Who It’s For

Ideal Client Profile

Enterprises, B2B software companies, medical clinics, and established service businesses that want to be cited as authoritative answers in AI assistants.

Prerequisites to Start:Valid business registration, clear service offering, and 30 minutes for initial technical discovery.

Measurable Business Impact

Client outcomes

Clarity & Specifications

Frequently Asked Questions

How does Generative Engine Optimization differ from traditional SEO?+

Traditional SEO focuses on keyword ranking positions and blue-link clicks in Google search. Generative Engine Optimization structures your content into modular semantic passages and nested entity graphs so conversational models like ChatGPT, Claude, and Perplexity synthesize and cite your business as the direct, authoritative answer to commercial user questions.

What is Share of Model (SoM) and how is it measured?+

Share of Model measures how frequently and favorably your brand appears across conversational AI query sweeps compared to your direct competitors. We query foundation models with hundreds of realistic customer buying prompts on a scheduled weekly cadence, tracking citation frequency, sentiment polarity, and recommended product features.

Why do answer engines cite third-party sources instead of brand websites?+

Foundational models rely on retrieval-augmented generation pipelines that prioritize independent validation over direct marketing claims. Studies indicate that over eighty percent of generative search citations originate from neutral third-party publishers, technical documentation, and customer review hubs, making external citation building essential.

How quickly do GEO optimizations generate visible citations?+

Server-side crawler indexing and passage refactoring take effect within two to four weeks as AI crawler bots process your updated structure. Measurable citation frequency and consistent Share of Model visibility typically compound across three to six months as underlying model indexes refresh.

How much does this cost?+

Every project is quoted after a free 30-minute consultation call, because precise scope and architecture drive cost. Zebeh operates with transparent pricing across three tiers: Starter for single-location businesses, Advanced for growing or multi-branch operations, and Custom for custom platforms. You receive a fixed, binding written quote with guaranteed milestones and deliverables before any work begins, and ongoing infrastructure maintenance is billed on a predictable monthly retainer.

How this page is put together

The scope, timeline and questions come from projects we have delivered. Any figure on this page comes from a linked case study and is the figure the client reported to us. We do not list prices because each project is quoted after a free call, with the price fixed in writing before work starts.

Ask about geo & answer engines

A short question is enough. We reply by email, usually within one working day.

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