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Domino Effect Lab
Our Mission

Generative Engine Optimisation and AI visibility for businesses that want to be found, cited, and recommended in AI-generated answers.

 

Domino Effect Lab Ads is an Ireland-based AI visibility and Generative Engine Optimisation agency. We help businesses understand how AI systems currently see them, where they are missing, and what to change so they can appear more accurately and more often in AI-generated answers.

 

As search shifts from clicks to answers, traditional visibility is no longer enough on its own. Customers now ask AI assistants for recommendations, comparisons, and summaries before they ever visit a website. Our work helps businesses adapt to that shift with a practical mix of diagnostics, technical fixes, content structure, and ongoing improvement.

What We Do

We help businesses improve how they are understood and represented across AI-powered search and answer systems.

Our work includes:

  • AI visibility diagnostics
    We assess whether AI assistants can find your business, how accurately they describe it, and where competitors are being recommended instead.

  • Technical and structural fixes
    We improve the parts of your web presence that affect AI understanding, including entity consistency, schema, answer blocks, and source clarity.

  • Content and authority optimisation
    We strengthen the content, signals, and supporting assets that help AI systems retrieve, trust, and cite your business.

  • Measurement and improvement
    We baseline what answer engines say about your brand today, then track change over time using practical visibility metrics.

Products and Reports

Our current product and research suite includes:

Intelligence and diagnostic products

  • AI Visibility Footprint Scanner
    Maps where your brand appears across important web sources and shows which AI models can see your business, which cannot, and where the biggest gaps are.

  • The AI Pulse Visibility Scorecard
    Measures how accurately and prominently AI assistants represent your brand across platforms such as ChatGPT, Google Gemini, and Perplexity.

  • Hallucination Risk & Brand Safety Audit
    Detects when AI assistants fabricate or distort information about your business, then classifies the risk and provides corrective actions.

  • Rival Radar: AI Competitive Visibility Report
    Compares how your business and a selected competitor appear inside AI search and answer systems, using the same scoring model side by side.

  • AI Source Index Research Report
    A free research report that maps how major AI models weigh different content types when building knowledge about brands.

Content and authority products

  • FAQ Schema
    Generates grounded FAQ content and ready-to-deploy FAQPage schema based only on what a website actually says.

  • txt.llm
    Creates a structured brand-truth file designed to give AI systems a cleaner, verified source of truth for your company.

  • Brand Message Multiplier
    Optimises key brand messaging for multiple channels, helping businesses adapt one core message across website, blog, LinkedIn, search, and social formats.

Who We Help

We work with businesses that rely on online discovery, trust, and recommendation.

This includes:

  • Small and medium-sized businesses

  • Professional services firms

  • Recruitment agencies

  • Consultants

  • Hotels and tourism operators

  • Local service businesses

  • SaaS and digital businesses

  • Marketing and digital strategy teams

How Our Process Works

Our approach is designed to be simple, repeatable, and measurable.

1. Facts first

We start by building a clear and consistent source of truth for the business. That means aligning the facts that AI systems rely on across your website, structured data, and public sources.

2. Baseline visibility testing

We test how major AI systems currently describe your business using realistic prompts and a fixed methodology. This creates a baseline for mentions, citations, sentiment, visibility gaps, and competitor presence.

3. Retrieval and structure fixes

We improve the parts of your web presence that affect how search engines and answer engines retrieve and interpret your content. This includes crawlable structure, schema, FAQ support, answer-first formatting, and entity consistency.

4. Content and authority improvements

We strengthen the content layer so your business is easier to quote, easier to trust, and easier to recommend. This includes clearer terminology, stronger support content, and better alignment across the sources AI systems use.

What makes Domino Effect Lab Ads different

Domino Effect Lab Ads was founded by AI engineers and built around the real mechanics of how AI answers are formed.

That means we focus on:

  • Prompt-based testing, not guesswork

  • Measurable baselines, including citation frequency, share of voice, and sentiment

  • Multi-model coverage, across platforms such as ChatGPT, Google Gemini, Claude, Grok, and Perplexity

  • A full pipeline, from visibility diagnosis through structural fixes and content improvement

  • Technical clarity, explained in plain English and tied to practical action

Company Facts

Official company name: Domino Effect Lab Ads
Website: www.dominoeffectlabads.com
Email: info@dominoeffectlab.com
Location: Trident House, Naas, Kildare, Ireland
Founded: 2021
Co-Founders: Lia Brusilovsky and Shay Weiss
Positioning: AI visibility and Generative Engine Optimisation for businesses that want to be found and cited in AI-generated answers

Proof Points

  • A structured product suite covering visibility diagnostics, hallucination risk, competitive comparison, schema, brand-truth assets, and content support

  • A practical methodology built around baseline testing, source analysis, and measurable change

  • Research and educational assets that explain how answer engines select, trust, and cite brands

  • Internal campaign capability that turns one strong article into a multi-platform content programme with QA built in

Why This Matters Now

AI systems are becoming part of the buying journey. When someone asks an AI assistant for a recommendation, shortlist, or summary, your business needs to be present, accurate, and credible.

If you are not part of the answer, you may not be part of the decision.

Visionary Team

Lia Brusilovsky Headshot

Lia Brusilovsky, Co-Founder

Lia brings a wealth of experience in consulting and startup operations, with a background spanning public-sector IT delivery, software team leadership, and startup execution from inception through exit. She has also led validation and go-to-market work.

Shay Weiss Headshot

Shay Weiss, Co-Founder

​Shay brings over 20 years of experience across architecture, engineering, and product delivery. His work includes AI engineering and a technical focus on how large language models retrieve, reason, and can be influenced, giving Domino Effect Lab Ads a strong engineering-led foundation.

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