About Daniel Shashko - GEO Strategist

Building the Future of Search Visibility

I’m Daniel Shashko, a GTM strategist and AI automation specialist focused on one mission: making brands discoverable in the age of AI-powered search. While most marketers are still optimizing for blue links, I help companies claim territory in ChatGPT, Perplexity, Gemini, Google AI Mode, Copilot, and every AI model reshaping how people find information.

My approach sits at the intersection of traditional SEO expertise and cutting-edge AI intelligence. I build systems that track, measure, and optimize how AI models perceive and recommend brands – combining deep technical implementation with strategic marketing insight.

What I Do

GEO/AEO Strategy

Generative Engine Optimization and Answer Engine Optimization – the new frontier of search. I develop comprehensive strategies to ensure your brand is cited, recommended, and referenced by AI models across every platform.

AI Automation

Custom automation pipelines, MCP servers, web scraping systems, and intelligent workflows that turn manual marketing processes into scalable, data-driven operations. Built with Python, TypeScript, and modern AI APIs.

Technical SEO

Schema markup, site architecture, Core Web Vitals, crawl optimization, and structured data strategies that give search engines (and AI models) the structured signals they need to understand and recommend your content.

My Approach

I believe in building tools, not just recommendations. Every strategy I develop comes with the infrastructure to execute, measure, and iterate. That means custom dashboards, automated tracking, and real-time visibility into what’s working and what’s not.

I also believe in open source. My most impactful tools are freely available on GitHub because the entire industry benefits when we share methodology and raise the bar together. The GEO/AEO Tracker (66 stars, 27 forks) and Grounding Citation Analysis projects represent this philosophy in action.

150%+ Average organic growth

50+ Brands optimized

6 AI models tracked

Open Source Projects

GEO/AEO Tracker

Open-source, local-first AI visibility intelligence dashboard. Track your brand across 6 AI models (ChatGPT, Perplexity, Gemini, Copilot, Google AI Mode, Grok) with zero vendor lock-in. Features 13 analysis tabs, SRO pipeline, parallel batch processing, and full mobile responsiveness.

66 stars | 27 forks | TypeScript + Next.js | View on GitHub

Grounding Citation Analysis

Sentence-level analysis of 42,971 AI citations across Google AI Mode, Gemini, ChatGPT, Perplexity, Copilot, and Grok. Decodes #:~:text= URL fragments to reveal exactly which sentences Google quotes. The first reproducible study to exploit text fragments at scale.

4 stars | Python + Jupyter | View on GitHub

Let’s Work Together

Whether you need a complete GEO/AEO strategy, custom AI automation tools, or technical SEO infrastructure, I’d love to hear about your challenges. I work with growth-stage companies and enterprise teams who want to lead in AI search visibility.

Book a Strategy Call

Frequently Asked Questions

What is GEO/AEO and why does it matter?

GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) focus on making your brand visible in AI-powered search results – ChatGPT, Perplexity, Gemini, Google AI Mode, and others. As more users get answers from AI models instead of traditional search results, brands that aren’t optimized for AI citation risk becoming invisible to a growing audience.

How is this different from traditional SEO?

Traditional SEO optimizes for ranking in blue link results. GEO/AEO optimizes for citation and recommendation by AI models. The ranking factors are different: AI models prioritize structured data, clear expertise signals, factual density, and authoritative sourcing. I build strategies that cover both traditional and AI search simultaneously.

What kind of results can I expect?

Typical clients see 150%+ improvements in organic visibility within 6 months. For AI search specifically, we track citation frequency, sentiment, and positioning across 6 AI models with custom dashboards that show exactly where your brand appears and how to improve.

Do you work with companies of all sizes?

I primarily work with growth-stage startups and mid-market companies who are serious about owning their category in AI search. My approach is hands-on and strategic – I build the tools and infrastructure, not just slide decks.

What tools and technologies do you use?

My stack includes Python for data pipelines and automation, TypeScript/Next.js for dashboards and tools, web scraping tools for data intelligence, and custom MCP (Model Context Protocol) servers for AI integration. Everything I build is designed for scale, reliability, and measurable ROI.