What is GEO and how does it differ from traditional SEO?

Traditional SEO focuses on blue-link rankings on search results pages. Generative Engine Optimization (GEO) focuses on making your business information, technical markup, and content easy for AI answer engines (such as ChatGPT, Perplexity, Claude, and Google AI Overviews) to synthesize, quote, and cite as an authoritative source.

How do you help AI assistants cite our business?

We engineer structured data (Organization, Service, FAQPage schema), establish clear brand entities, clean up technical crawl access (robots.txt, llms.txt, server-rendered content), and format direct answers that models can reliably quote with high confidence.

How long does it take to see results from GEO work?

Search engines with live AI features like Perplexity and Google AI Overviews pick up crawlable structured content within four to eight weeks. Foundation models that rely on periodic training cycles or external knowledge graphs reflect changes over several months.

Can GEO work alongside our existing SEO strategy?

Yes. GEO complements SEO. Strong technical foundations, accurate schema, fast rendering, and authoritative factual answers benefit classic search engine rankings just as much as AI answer engines.

Do you offer GEO as a one-time audit or an ongoing service?

Both. We offer a one-time GEO audit and implementation sprint, or an ongoing monthly retainer where we track AI citation performance, refresh content, and expand your entity presence as AI engines update.

GEO & AI Search Visibility

Generative Engine Optimization (GEO) by Vasilkoff: structured schema, entity clarity, and crawlable content that helps ChatGPT, Perplexity, and Gemini cite your business.

See our work:

Automated Sales Workflow: Real Estate Case Study→Housekeeper World→Vasilkoff.info - AI Project Estimator & Chat Support Web App→

Search habits are shifting. Potential clients increasingly ask tools like ChatGPT, Perplexity, Claude, and Gemini for direct supplier recommendations, receiving curated answers rather than a page of search links. When an AI assistant answers a question in your sector, your business either appears as a cited recommendation with accurate details, or it gets left out entirely in favour of competitors whose data is easier to parse.

Generative Engine Optimization (GEO) is the technical and editorial discipline of making your business legible to AI answer engines. Instead of chasing keyword repetition or opaque backlink schemes, GEO focuses on machine-readable entity definitions, verified structured data, crawlable content, and direct factual answers that language models can quote with confidence.

Why Vasilkoff approaches GEO from an engineering perspective

Many marketing agencies approach GEO by applying traditional SEO tactics with new terminology. At Vasilkoff, we approach the problem from the engineering side because we build and operate the underlying AI pipelines ourselves.

Production self-hosted LLMs: We deploy and run self-hosted open-weights models in production. As detailed in our breakdown of self-hosted LLM control and privacy, we operate inference and retrieval pipelines directly. That hands-on experience gives us practical insight into how models retrieve context, score document relevance, and extract answers.
Model Context Protocol (MCP) integrations: MCP has emerged as an open standard for connecting AI assistants to live external data sources. We have shipped MCP integrations in production environments, such as our work connecting AI tools to document standards described in Navigating PDF Standards with Decodocs and MCP.
Engineered structured data: Machine-readable markup is not an optional add-on in our workflow. Schema.org data, FAQ schema, Organization, and Service entities are built directly into our site architectures by default.

When you work with us, you work directly with senior software engineers who can inspect your server configuration, adjust rendering pipelines, and write valid schema into your repository.

What our GEO service covers

1. AI readiness and citation audit

We assess how visible your business currently is across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. We test queries your prospective clients use, identifying where your brand is cited accurately, where it is overlooked, and where models hallucinate details about your pricing or capabilities.

2. Entity and structured-data engineering

AI models rely heavily on semantic web standards and knowledge graphs to confirm facts. We implement clean, validated Schema.org markup across your website:

Organization and LocalBusiness entities with consistent identifier links (Wikidata, LinkedIn, corporate registries)
Service and Product schemas detailing your exact deliverables and operational locations
FAQPage schema with concise, factual answers formatted for machine extraction
BreadcrumbList and Article markup that provides explicit contextual hierarchy

3. Content structured for citation

We adjust key landing pages and documentation to follow formats that language models prefer to extract:

Direct-answer lead paragraphs that answer core questions in two to three sentences
Structured comparison tables, feature specifications, and clear service boundaries
Verifiable claims supported by cited sources and internal case study links

To maintain a continuous flow of reviewed, search-ready drafts across your channels, see our AI trend research and content automation service.

4. Technical foundations for AI crawlers

AI systems cannot cite content they cannot crawl or parse. We audit and repair technical bottlenecks:

Clear crawler permissions in robots.txt for GPTBot, PerplexityBot, ClaudeBot, and Google-Extended
Deployment of a well-maintained llms.txt and llms-full.txt file outlining key services and company facts
Server-side rendering (SSR) or static HTML generation so content is visible without client-side JavaScript execution
Fast response times and clean HTML hierarchies without bloated DOM trees

For deeper crawl repairs and server speed improvements, explore our technical SEO audit and fixes and website speed and performance optimization.

5. Citation monitoring and iterative updates

AI engines and their underlying search indexes change frequently. We track how your brand surfaces across key queries, identify emerging citation patterns, and update your structured data and documentation as answer engines evolve.

Who this is for

This service is designed for established businesses, B2B firms, and software companies that already invest in search presence, but notice that AI assistants either ignore them or provide outdated answers. It is especially valuable for service providers whose buyers use ChatGPT or Perplexity to research vendors before booking a call.

If you are planning your wider web budget and delivery timelines, our 2026 guide to website costs in Cyprus and outsourcing guide cover the groundwork.

Pricing and engagement

We work on a transparent basis at our flat rate of $39 per hour, or under defined milestone budgets for structured audits and implementation sprints.

Initial GEO Audit & Action Plan: Typically requires fifteen to twenty-five hours of engineering work depending on site scale, covering crawler access, entity validation, AI prompt benchmarking, and template remediation tickets.
Implementation Sprint: We apply the schema, crawler directives, llms.txt, and content restructuring directly in your repository or CMS over one to three weeks.
Monthly Citation Retainer: Ongoing monitoring, schema maintenance, and content iteration from $1,200 per month.

Full details on our commercial terms, team models, and billing structures are on our pricing page.

Proof

Our approach is validated through real-world projects where structured data, technical speed, and model integrations deliver measurable outcomes:

Vasilkoff.info: Our own client onboarding and AI intake tool, built on serverless infrastructure with strict entity definitions, self-hosted LLM endpoints, and structured content that AI assistants cite accurately.
Automated Real Estate Sales Workflow: An integrated n8n and OpenAI pipeline that parses structured property listings and qualifies buyer requests with verified facts rather than generic guesses.
Housekeeper World: A marketplace platform with clean semantic schema and location-based entities, ensuring services and listings are indexed cleanly by traditional search engines and AI discovery tools alike.

Related services

Technical SEO audit and fixes resolves crawl errors, canonical mismatches, sitemap issues, and indexation problems
Website speed and performance optimization improves Core Web Vitals, caching, and server response times
AI trend research and content automation maintains a reliable pipeline of reviewed, high-quality content
Secure AI backend and API key protection protects your proprietary endpoints, keys, and rate limits
Bilingual AI customer support bot provides on-site assistance grounded in your verified business knowledge

Next step

Send us your website URL and two or three questions you expect prospective clients to ask AI assistants about your market. We will run an initial citation check and identify where your current technical setup is helping or hurting your visibility. Discuss your GEO project with our team.