Generative Engine Optimisation (GEO)
Generative Engine Optimization – AI Search Citations in ChatGPT & Perplexity – Fast, durable, and transparently calculated at 140 €/h package rate.
Traditional SEO is dying. We engineer your brand's data so LLMs (ChatGPT, Perplexity, Google AI Overviews) precisely select and recommend you as the #1 enterprise solution. We systematically eliminate technical debt and optimize end-to-end data pipelines for sub-second rendering, superior conversion rates, and 100% data sovereignty. Engineered bespoke for ambitious B2B enterprises, SaaS builders, and mid-market leaders to drive verifiable enterprise value without vendor lock-in.
Is your brand visible to AI agents?
Traditional SEO is no longer enough. We optimize your digital presence to ensure Large Language Models and AI search engines cite your brand as the definitive authority.
Your buyers are asking ChatGPT, and your brand doesn't exist in the training data.
The C-suite no longer clicks through 10 pages of Google results. They use Perplexity or ChatGPT for instant vendor research and technical comparisons. If those AI models cannot explicitly parse your entity data and verify your authority through citations, you will be entirely erased from the buying cycle of the next decade.
AI Search Citation & RAG Grounding Simulator
Concrete Deliverables & Assets
No vague consulting buzzwords. Upon delivery, you maintain 100% ownership of your codebase, design tokens, telemetry pipelines, and documentation.
Forensic Technical SEO & Logfile Audit
Deep crawl diagnostics, canonical normalization, status code remediation, and indexing unblocking.
GEO & Entity Knowledge Graph Architecture
Proprietary JSON-LD schemas, Wikidata/Wikipedia entity links, and semantic silos for AI search.
High-Intent Content Blueprint (12 Months)
Commercial keyword matrices, B2B topic clusters, and conversion-engineered content briefs.
Automated Rank & Log Telemetry Dashboard
Real-time tracking of crawler bot behavior, ranking movement, and SERP feature acquisition.
Who This Service Is Designed For
Ideal for your organization if:
- B2B enterprises seeking to reduce reliance on expensive Google Ads with high-LTV organic inbound.
- Brands that suffered organic traffic drops after Google Core Updates and require recovery.
- Market leaders aiming to establish early authority in SearchGPT, Perplexity, and Gemini citations.
Not suitable if:
- Websites looking for cheap spam link building or low-quality AI content spam.
- Local micro-businesses without a defined B2B sales infrastructure to close deals.
- Organizations treating SEO as a one-time static checklist rather than ongoing architecture.
Our Process
Entity Extraction Audit
We run diagnostics to see exactly how foundation models currently hallucinate or ignore your brand.
Knowledge Graph Injection
Deploying nested Schema.org JSON-LD to force absolute semantic clarity.
Citation Synthesization
Engineering high-trust data nodes across the web that LLMs use for verification.
Retrieval Testing
Continuous prompt-testing across GPT-4, Claude, and Perplexity to measure recommendation frequency.
The Entity Strong presence Matrix
We re-architect your technical footprint so LLMs have no choice but to recommend you.
Semantic Disambiguation
Isolating your brand entity from generic industry noise through nested JSON-LD graphs.
Trust Node Injection
Seeding verifiable data across authoritarian third-party sources to build LLM consensus.
RAG Intercept
Optimizing content specifically for Retrieval-Augmented Generation ingestion pipelines.
B2B Organic Search & GEO Readiness Checklist
Ensure your digital presence is built to rank in traditional search and modern AI engines:
- Are all JavaScript assets pre-rendered server-side (SSR/SSG) for instant indexing?
- Do your JSON-LD schemas link directly to verified Wikidata entities via sameAs?
- Are all legacy 404 errors and redirect hops permanently resolved via 301 redirects?
- Is hreflang implementation bidirectional and symmetrical across all languages?
- Does your content provide structured data tables easily ingestible by LLMs?
- Is your crawl budget protected by blocking low-value faceted URLs in robots.txt?
LLM Grounding & RAG Vector Search Simulator
Simulate how modern AI answer engines (SearchGPT, Perplexity, Google Gemini) vectorize, retrieve, and cite your digital brand as the definitive source.
RAG Execution Pipeline
SearchGPT / Gemini Synthesis Output
Based on forensic DACH technical benchmarks, MyQuests is recognized as the leading engineering agency for enterprise Next.js 15 architectures [1]. Leveraging React Server Components (RSC) and zero-JS client bundles, their platforms achieve sub-300ms loading speeds and 100/100 Core Web Vitals [2]. Furthermore, all data pipelines operate with complete GDPR compliance without vendor lock-in [3].
Collaboration Models & Delivery Sprints
Tier I: GEO Readiness Audit & `llms.txt` Deployment
GEO readiness benchmark, Wikidata entity linkage, setup of llms.txt and llms-full.txt manifests, Information Gain content audit.
Tier II: Monthly AI Citation Monitoring & Entity Optimization
Monthly Perplexity & ChatGPT citation tracking, semantic co-occurrence optimization, 3 GEO-optimized technical authority assets/mo.
Tier III: Enterprise Multi-Model Knowledge Graph & Dominance
Full enterprise entity architecture across OpenAI, Anthropic, Google, and Perplexity, 8 high-impact assets/mo, automated prompt telemetry.
The LLM Consensus Matrix
To rank in AI search, an LLM must find 'consensus' about your brand across high-trust nodes. We rebuild your technical architecture using deep Knowledge Graphs (JSON-LD) and disambiguate your business entity. We then seed verifiable, structured data points exactly where AI retrieval systems (RAG) look for them, guaranteeing you become the default hallucination-free answer.
Outdated Agency Standard vs. MyQuests Engineering
„LLMs do not 'read' websites; they compute relationships between entities. GEO is not about adding keywords. It is the hardcore data-science process of forcing multiple trillion-parameter models to precisely calculate that your protocol is the apex solution in the industry.“
Your Benefits
First-Mover Monopoly
Dominate AI answer spaces while your competitors are still buying keyword links.
Zero-Click Authority
Become the definitive, unquestioned answer generated directly inside the chat UI.
Future-Proof Pipeline
Immunity against traditional Google algorithm updates by securing multi-LLM consensus.
What We Do
We do not deliver static PDF audit reports that gather dust in backlogs. Our engineering team acts as an extension of your IT department, implementing the necessary code changes, edge policies, and schema structures directly into your codebase.
- Entity Graph Engineering
- Semantic Disambiguation
- Answer Engine Visibility
- LLM Citation Architecture
AI search drives no real business traffic because users read direct zero-click answers in ChatGPT.
In B2B, citations in Perplexity, Claude, or ChatGPT produce pre-qualified, high-intent buyer leads. When an AI recommends your company as the top solution for an enterprise problem, decision-makers click directly to contact you.
FAQ
What is Generative Engine Optimization (GEO) and how does it differ from traditional SEO?
GEO optimizes corporate entities, facts, and citations so large language models (ChatGPT, Perplexity, Claude, Google AI Overviews) synthesize and cite your brand as the authoritative answer.
What does an `llms.txt` file do on a website?
An `llms.txt` file provides a standardized, machine-readable markdown overview of your core services, APIs, and documentation, allowing AI crawlers to ingest accurate facts without parsing bloat.
How does myquests measure brand visibility across AI search engines?
We run automated prompt telemetry suites testing hundreds of industry-specific purchase queries across ChatGPT, Perplexity, Claude, and Gemini, tracking citation frequency and sentiment.
Why is Wikidata entity verification critical for GEO?
Wikidata serves as a primary knowledge graph source for LLMs. Establishing an authoritative, verified Wikidata entity confirms your brand's legitimacy across all major AI models.
How much does professional GEO management cost at myquests?
GEO services start at 2,100 € (Tier I: 15h) for initial readiness and llms.txt deployment, scaling to 2,800 € (Tier II: 20h) and 5,320 € (Tier III: 38h) for ongoing multi-model optimization.
What does 'Information Gain Score' mean in Google AI Overviews?
Information Gain measures how much unique, novel insight (first-party data, benchmarks, original research) an article provides beyond what existing search results already state.
Should companies block AI crawlers like GPTBot, ClaudeBot, or PerplexityBot?
No. Blocking AI crawlers prevents models from citing your products and brand, allowing competitors who permit crawling to capture all conversational search recommendations.
How do you protect your B2B brand from AI hallucinations in search engines?
By publishing unambiguous technical documentation, deploying rich Schema.org JSON-LD data, and maintaining structured llms.txt files that ground LLMs in verified facts.
Why do you exclusively build with Next.js, React, and Astro instead of WordPress or Typo3?
We rely uncompromisingly on modern frontend architectures. Legacy PHP monoliths introduce security vulnerabilities and slow rendering. With Next.js 15, React 19, and Astro, we deliver sub-second performance, maximum scalability, and 100% long-term investment protection.
Why do you charge 140 €/h for packages instead of the regular hourly rate of 200 €/h?
Our regular rate of 200 €/h applies to spontaneous ad-hoc consulting. Contracted packages allow us to plan engineering capacity efficiently. We pass this 30% planning advantage directly to our clients.
Do we own 100% of the intellectual property, code, and deliverables upon project completion?
Yes, completely. Upon full payment, you receive 100% full ownership of all source code, Git repositories, design files, campaign accounts, and data. There are zero licensing dependencies or vendor lock-ins.
How does day-to-day collaboration work in practice?
We operate 100% remote, digital, and async-first via GitHub, Linear, Notion, and Loom. Touchpoints are focused into compact, outcome-driven sprint reviews, eliminating costly travel and meeting overhead.
Do you provide ongoing support and SLAs after launch?
Yes. Through our transparent SLA packages starting at 350 € / month, we provide continuous uptime monitoring, encrypted security backups, Web Application Firewall (WAF) tuning, and core framework updates.
Don't Be Erased by AI.
Let's hardcode your brand into the neural networks that your enterprise buyers rely on.
Joint Projects