Be Found in AI Search
SEO for AI: track, optimize, and automate your visibility across ChatGPT and other AI search engines.
EZY.AI is an AI search visibility platform. We discover the natural-language prompts customers use, optimize your site and knowledge graph for those prompts, and automate the actions that lift your rankings in AI answers. Then we track your position versus competitors and show exactly what to do next.
Why AI search matters (and how EZY.ai helps)
Generative engines (ChatGPT, Perplexity, Gemini, Copilot) answer questions in natural language and cite sources. Classic SEO alone won't get you cited. EZY.ai gives you AI optimization sometimes called SEO for AI or Generative Search Optimization (GSO) so your brand is selected, cited, and recommended.
Track
See where you appear for real prompts ("best mezcal in France", "AI visibility software", etc.), across ChatGPT and other AI search engines.
Optimize
Close gaps in schema, entities, Wikidata, and on-page content that influence AI rankings and citations.
Automate
Ship fixes faster with automation modules: schema, sitemaps, entity creation, Q&A pages, topic briefs, and more.
Report
Benchmark vs. competitors, get an AI Visibility Score, and receive a prioritized action plan.
Multi-Model Compatibility
EZY.ai connects with the foundational LLMs such as Perplexity, Google AIO, and Grok, delivering flexible AEO optimization and deeper insight across multiple AI ecosystems.
How EZY.ai works (4 steps)
Discover prompts
We surface the common search terms (natural-language prompts) that potential customers already use to find brands like yours.
Build your AI profile
Using those prompts, EZY.ai builds a structured profile for your website and brand (entities, schema, citations, and supporting content) so AI engines can understand and trust you.
Automate improvements
Our automation modules (formerly 'widgets') implement fixes: schema, robots, sitemaps, entity creation, topic briefs, and Q&A pages so you can move fast without agency overhead.
Measure & iterate
Get an AI Visibility Score, track prompt-level rankings and citations, compare against competitors, and follow a living checklist of actions.
Core features
Prompt Tracker
Track real natural-language prompts across AI search engines, with citations and 'who's mentioned' timelines.
Core Terms Discovery
Find the AI search terms customers actually use to reach products like yours.
Entity & Knowledge Graph Manager
Create and maintain clean entries for your brand, products, and people (schema.org, Wikidata, sameAs links).
Schema & Robots Auditor
Validate JSON-LD, robots.txt, sitemap.xml, and site signals AI engines rely on.
Content Playbooks
AI-generated topic clusters, briefs, and FAQs based on ranking data and entity gaps.
AI Visibility Score
One metric that blends presence, citations, and coverage across AI engines.
Competitor Radar
See who gets cited, for which prompts, and why.
Reports & Alerts
Weekly summaries, deltas vs. competitors, and action items.
Who it's for
Brands & SMBs
that want to be discoverable in AI search without a big agency.
Marketing teams
that need a single view of prompts, citations, and actions.
Agencies
that want scalable GSO (Generative Search Optimization) delivery.
Frequently asked questions
What is 'SEO for AI'?
It's optimization for how AI systems choose, cite, and summarize sources covering prompts, entities, schema, and content that AIs understand.
Does EZY.ai replace classic SEO?
No. We complement it. Technical SEO and fast, helpful content still matter; AI optimization adds entity clarity, prompt coverage, and citation strategy.
Which AI engines do you track?
We focus on major AI search engines (e.g., ChatGPT, Perplexity, Gemini, Copilot). Coverage expands over time.
What's the AI Visibility Score?
A single metric that blends where you appear, how often you're cited, and how completely your entities & schema are covered.
About EZY.ai
EZY.ai builds software for AI search visibility. We believe brands should be discoverable in generative answers not just classic links. Our platform tracks real prompts, clarifies your entities and schema, and automates the actions that increase your chances of being cited by AI.
Founding team
James Mackie
Launched fivepounds.com in 2004- success was due to SEO optimisation bringing "congestion charge" above transportforlondon.gov. In 2004 James built Appiam IT Services, offering SEO, backend web development (SAP, ORACLE, C++) and network infrastructure support to its clients, James sold the company in 2008. In 2009 James built the most reliable Cloud desktop platform in Europe; VESK. and exited in 2015 for 8 figures. James began coding when he was 12 years old when his Grandad bought him an Amstrad personal computer for his twelfth birthday.
Adnan Kabbani
Adnan Kabbani is a Software Developer with a BSc in Computer Science from the Lebanese American University. Having started coding at a young age, he has built a strong foundation in both backend and frontend development. His work spans multiple sectors, including banking technology, AI automation, and crypto solutions. Beyond fintech, he has developed Microsoft AI add-ins, advanced data automation pipelines, and smart integration systems for AI-powered platforms.
Khodr Badih
Khodr Badih is a PhD candidate in Strategy and Analytics at Bayes Business School and teaches at Imperial College and Bayes. He holds a background in theoretical physics from Imperial College and the University of Toronto. His research focuses on using NLP in Strategy research. He has worked on projects in various sectors including HR analytics, fintech among others.
Rishabh Tiwari
Rishabh Tiwari is a Senior AI Engineer with a BTech in Electronics and Communication Engineering. He specializes in designing and deploying AI-driven systems with a strong focus on large language models, intelligent automation, and data-intensive platforms. With a solid engineering foundation, he has built end-to-end AI solutions spanning model integration, backend architecture, real-time APIs, and scalable web applications. His work emphasizes performance optimization, system reliability, and practical AI adoption in production environments.
Our approach
We have spent a lot of time researching which areas should be managed and maintained to ensure the best optimization for LLMs- an area that is constantly and rapidly evolving. We've built Widgets for each area that is important for LLM optimization, for example; Reddit Presence, Voice Command Optimization, Auto Blog, Wikidata Update, and for some of the more basic Widgets- LLMS.txt. Robots.txt and Schema.
EZY.ai manages all of the above, creates the data, manages and suggests optimizations so you don't need to manage every single web page and JavaScript element for every client manually.
James Mackie founded and ran an SEO company back in 2003 which he exited from in 2009 and the team is made up of Theoretical Physicists, Statistical and Deep-Learning PhDs from Imperial, London.
We built EZY by researching each optimization strategy, based on the results we built our own proprietary deep-learning models that sit on top of the LLMs- the issue with LLMs being that they will give 3 different answers if you ask the same question 3 times. We use Deterministic logic to ensure we write the correct Robots.txt content, the correct Schema data, rather than just asking GPT, or Perplexity to write it for us.