Generative Engine Optimisation (GEO)
Visibility in AI Answers & Search (Generative Engine Optimisation)
When business leaders ask modern AI assistants for industry solutions, your company is recommended as a verified answer (Generative Engine Optimisation, ChatGPT, Perplexity & Google AI Overviews). We structure your digital assets and domain authority so language models comprehend your exact capabilities and cite your brand as an authority (LLM Citation Architecture, Semantic Entities & Schema.org JSON-LD).
Is your brand visible to AI agents?
Traditional SEO is no longer enough. We optimise your digital presence to ensure Large Language Models and AI search engines cite your brand as the definitive authority.
Buyers increasingly use AI assistants to source vendors—your brand must be structured for machine retrieval.
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.
“Generative AI search engines do not parse web pages like traditional keyword crawlers; they evaluate semantic relationships across entities and knowledge graphs. Generative Engine Optimisation (GEO) focuses on structuring your organisation's expertise, data, and authority so that AI assistants such as ChatGPT, Claude, and Perplexity reliably reference your brand as a primary source (knowledge graph engineering, entity mapping & semantic citations).”
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
Optimising content specifically for Retrieval-Augmented Generation ingestion pipelines.
AI Search Citation & RAG Grounding Simulator
Concrete Deliverables & 100% IP Ownership
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.
Measurable Benchmark Telemetry
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.
Engagement 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 Optimisation
Monthly Perplexity & ChatGPT citation tracking, semantic co-occurrence optimisation, 3 GEO-optimised 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.
Our 4-Step Engineering 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.
Frequently Asked Questions (FAQ)
What is Generative Engine Optimisation (GEO) and how does it differ from traditional SEO?
What does an `llms.txt` file do on a website?
How does myquests measure brand visibility across AI search engines?
Why is Wikidata entity verification critical for GEO?
How much does professional GEO management cost at myquests?
What does 'Information Gain Score' mean in Google AI Overviews?
Should companies block AI crawlers like GPTBot, ClaudeBot, or PerplexityBot?
How do you protect your B2B brand from AI hallucinations in search engines?
Why do you exclusively build with Next.js, React, and Astro instead of WordPress or Typo3?
How are your project and package prices structured?
Do we own 100% of the intellectual property, code, and deliverables upon project completion?
How does day-to-day collaboration work in practice?
Do you provide ongoing support and SLAs after launch?
Position Your Brand as a Trusted Answer Across Modern AI Engines.
Let's hardcode your brand into the neural networks that your enterprise buyers rely on.
Joint Projects