Ithy is the world's first AI aggregator it runs your question through every major AI model simultaneously and delivers one stunning, sourced, interactive article in under 60 seconds. Here is the most complete guide to how it works, who it is built for, and why it consistently outperforms every individual AI on the market.
There is a question that anyone who uses AI tools seriously has asked at some point: which AI is actually the best? ChatGPT is fluent and fast. Claude reasons deeply and carefully. Gemini has fresh access to Google's index. DeepSeek surprises with its analytical depth. Perplexity cites its sources. Every tool has genuine strengths and every tool has blind spots.
The honest answer is that no single AI model is best at everything. The strengths are distributed. The question is not which one to trust it is how to get all of them working together at the same time.
That is the problem Ithy was built to solve. Ithy is the world's first true AI aggregator. Instead of asking you to choose one AI and hope it covers everything, Ithy sends your question to multiple leading AI models simultaneously including GPT-4o, Gemini, Claude, DeepSeek, and others — and synthesizes all of their responses into a single, beautifully structured, interactive article. The result is an answer that is more accurate, more comprehensive, and more nuanced than any individual model could produce on its own.
The benchmark data backs this up. Ithy has achieved the #1 score on the GPQA benchmark Graduate-Level Google-Proof Questions and Answers a test designed to measure AI performance on questions so difficult that even expert humans struggle to answer them correctly. Ithy outperforms OpenAI, Google, and Anthropic's flagship models on this benchmark. Not because it is a smarter model, but because it combines the smartest models.
In this complete guide, I am going to walk you through everything: what Ithy actually is, how its two research modes work, what the interactive article format looks like in practice, how it compares to ChatGPT and Perplexity AI, who it is built for, what its limitations are, and exactly how to use it to get the most powerful research output currently available from any AI tool on the internet.
🤖 What Is Ithy? The World's First AI Aggregator Explained
Most people, when they first hear about Ithy, assume it is just another AI chatbot with a slightly different interface. It is not. The distinction matters and it is worth understanding clearly before anything else.
A standard AI tool like ChatGPT, Claude, or Gemini is a single model. When you ask it a question, one AI answers it. That AI has a particular training dataset, a particular architecture, particular strengths, and particular weaknesses. You get one perspective, filtered through one model's particular way of understanding the world.
Ithy is architecturally different. When you ask Ithy a question, it does not route your query to one model. It routes it to multiple models simultaneously and then applies its own synthesis layer to combine, cross-reference, and reconcile their responses into a single unified output. Think of it less like asking one expert a question and more like convening a panel of the world's best experts, having each of them answer independently, and then producing a synthesis document that draws on all of their insights while eliminating the contradictions and gaps.
This is why the platform's tagline "What happens when you combine every AI?" is not marketing hyperbole. It is a literal description of the technical approach. And the results, as the GPQA benchmark confirms, are measurably better than any single model can achieve.
Fast Company described Ithy as "Gemini Deep Research on steroids." The Intelligence called it a supertool that "brings ChatGPT, Gemini, and Perplexity together." Texas Tech University has included it in their official AI research tools guide. Over 100,000 articles have been created on the platform, trusted by more than 50,000 users at top companies and academic institutions worldwide.
⚔️ Ithy vs. ChatGPT vs. Perplexity vs. Gemini: A Genuine Comparison
Before choosing any AI research tool, you need to understand what each one actually does well and where each one falls short. Here is an honest, detailed comparison of Ithy against the three most popular alternatives.
| Feature | ChatGPT | Perplexity AI | Gemini | Ithy |
|---|---|---|---|---|
| AI Models Used | GPT-4o Models only | Switchable single model | Gemini Models only | ✅ All models combined |
| Answer Format | Chat text | Cited paragraphs | Chat text | ✅ Full interactive article |
| Charts & Visuals | Limited | Minimal | Basic | ✅ Built-in charts, videos, buttons |
| Deep Research Speed | 5–30 minutes | 2–5 minutes | 5–15 minutes | ✅ Under 60 seconds |
| Benchmark Performance | Top tier (single model) | Strong | Top tier (single model) | ✅ #1 GPQA score |
| Shareable Output | Chat link only | Basic share | Limited | ✅ Full shareable article URL |
| URL as Source Input | Limited | Yes | Limited | ✅ Paste URLs directly |
| Free Tier Value | Moderate | Generous | Generous | ✅ Points-based rewards |
The critical thing to understand from this comparison is that Ithy is not competing with ChatGPT or Gemini on a model-versus-model basis. It is operating at a different level entirely. It uses those models as inputs and adds an aggregation and synthesis layer on top that produces output none of them can match individually. The competition is not really between Ithy and ChatGPT. It is between using one AI and using all of them at once.
🚀 How to Use Ithy: A Complete Step-by-Step Guide
Ithy is designed to be immediately usable without any technical knowledge or onboarding. But like all powerful tools, understanding how it works at a deeper level unlocks significantly better results. Here is the complete guide to using it effectively from your first session.
Step 1: Understand the Two Research Modes
The first decision you make on Ithy is which research mode to use. This is not a superficial choice the two modes produce qualitatively different outputs and are optimized for different types of questions. Getting this right from the start makes a significant difference in the quality of what you receive.
Fast Research is Ithy's quick-answer mode. It delivers a response in seconds rather than minutes, making it ideal for questions that need a rapid, reliable answer rather than exhaustive depth. Use Fast Research for fact-checks, definitions, quick comparisons, simple how-to questions, and any query where you need an answer in under 30 seconds. Despite its speed, Fast Research still draws on multiple AI models and produces a more comprehensive response than a standard ChatGPT or Gemini reply.
Deep Research is where Ithy's aggregation approach really demonstrates its power. When you select Deep Research, Ithy deploys multiple AI researchers simultaneously each drawing on different models and source material and then synthesizes all of their outputs into a single, fully structured, interactive article. Critically, this process completes in under one minute. That speed advantage over competing deep research tools which can take five to thirty minutes is not a minor convenience. It fundamentally changes how you can use deep research in your daily workflow.
🧠Start Your First Ithy ResearchStep 2: Write Questions That Get the Best Results
Ithy responds best to natural language questions written with context and specificity. The years of habit built around writing compressed keyword strings for Google Search actively work against you here. The more information you give Ithy about what you need, who you are, and what the output should look like, the more precisely it can calibrate its synthesis across multiple models.
Here is the difference in practice:
The second prompt gives Ithy enough context to filter its synthesis across all models toward your specific situation. The result will be dramatically more useful than a generic best-of list.
You can also use the Shift + Enter keyboard shortcut to add new lines to your prompt without submitting useful for structuring multi-part questions before sending. And you can paste any URL starting with https:// directly into the input field, instructing Ithy to use that page as a primary source in its research.
Step 3: Read the Interactive Article Output
When Ithy delivers its response, what you receive is not a chat bubble. It is a fully formatted, interactive article the same format you would expect from a professionally researched blog post or report, but generated in real time from the synthesis of multiple AI models.
A typical Ithy Deep Research article includes: a structured introduction summarizing the key findings, multiple H2 and H3 headings organizing the content into navigable sections, comparison tables where relevant, data visualizations and charts generated from the information in the answer, inline citations linking to original sources, and embedded video references where video content is relevant to the topic.
Each article generated by Ithy is assigned a unique public URL that you can share directly with anyone. The article is readable by anyone with the link, making Ithy's output immediately usable for professional communication sharing research with colleagues, referencing in emails or reports, or publishing as a basis for content creation.
Step 4: Use the Points System to Unlock Pro Features
Ithy operates on a points-based reward system that is genuinely unusual in the AI tools market and worth understanding before you start using the platform. Every question you ask earns you points. More complex, harder questions earn more points than simple ones. Points accumulate in your account and can be redeemed to unlock Ithy Pro features and other rewards.
Signing up for a free account immediately gives you bonus points enough to run several Deep Research queries without spending anything. This means the most capable features of Ithy are accessible from your first session, without needing to enter payment details or commit to a subscription. The points system essentially turns the natural process of using the tool into a progression toward more advanced access.
🛠️ Four Real-World Scenarios Where Ithy Changes Everything
Theory is useful. But the real test of any AI tool is what it actually does for the specific tasks people need to accomplish. Here are four realistic scenarios where the difference between using Ithy and using a standard single-model AI tool is most dramatic.
Scenario 1: Writing a Comprehensive Research Report
Imagine you are a marketing manager who needs to write a report on the current state of influencer marketing for your leadership team. The report needs to cover market size data, emerging trends, platform comparisons, ROI benchmarks, and strategic recommendations all with credible sources.
With a standard AI tool, you would need to run multiple separate queries, manually assemble the pieces, verify the sources yourself, add formatting, and then still worry about whether the single model you used has a complete or current picture of the topic. With Ithy Deep Research, you ask one well-structured question and receive a complete article with all of those components sourced, formatted, and shareable in under one minute.
Scenario 2: Comparing Technical Options Before a Decision
You are a developer choosing between three cloud hosting providers for a new application. You need to compare pricing, performance benchmarks, geographic availability, support quality, and specific feature sets relevant to your stack.
This is exactly the kind of multi-dimensional comparison where single-model AI tools fall short. Each model has different training data, different recency on pricing information, and different depth on technical specifications. Ithy's aggregation approach combines what each model knows including the most recently indexed information from web-connected models and produces a comparison table and analysis that is more complete than any individual model could generate.
Scenario 3: Academic Research and Literature Review
A graduate student needs to write a literature review on the cognitive effects of social media use in adolescents. They need to identify the key studies, summarize the major findings, note areas of academic consensus and ongoing debate, and cite their sources.
The resulting article gives the student a structured, cited foundation for their literature review in minutes rather than hours covering findings from multiple AI models that each contribute different research to the synthesis.
Scenario 4: Content Creation at Scale
A content creator or SEO professional needs to produce high-quality, well-researched articles consistently. Each article needs to be comprehensive, accurately sourced, and structured for readability. The bottleneck is research time finding credible sources, cross-referencing data, and assembling the structure before a single word of the actual article is written.
Ithy collapses this research phase entirely. Each Deep Research output is already structured as an article with headings, sections, sources, and supporting data. The content creator can use this as a research foundation, then add their own voice, examples, and editorial judgment on top. What previously took two to three hours of research per article now takes under five minutes.
🔥 The 4 Core Features That Define the Ithy Experience
Beyond the general concept of AI aggregation, Ithy has four specific features that collectively define its user experience and separate it from every other research tool currently available.
1. True Multi-Model Aggregation
Ithy does not just give you access to multiple AI models. It runs your query through them simultaneously and applies a synthesis layer that combines their outputs, resolves contradictions between them, and produces a unified answer that draws on the strengths of each.
This is why the GPQA benchmark result matters. It is not a marketing claim it is a measurable demonstration that combining multiple models produces objectively better answers than relying on any single one. Claude's reasoning plus Gemini's web knowledge plus GPT-4o's fluency plus DeepSeek's analytical depth equals something greater than the sum of its parts.
2. Interactive Article Format
Every Ithy response is a fully structured, interactive article not a chat response. This distinction has real practical consequences. Articles have navigable headings, comparison tables, data visualizations, embedded video references, and a format that is immediately readable and shareable.
The chat format that dominates other AI tools was designed for back-and-forth conversation. It is a poor container for complex, multi-dimensional research answers. Ithy's article format is designed specifically for research output and the difference in readability and usability is immediately apparent when you compare the two side by side.
3. URL and Document Sourcing
Paste any URL directly into the Ithy search bar a specific article, a research paper, a competitor's website, a legal document and Ithy incorporates that page as a primary source in its research synthesis. You can paste multiple URLs at once.
This feature transforms Ithy from a general research tool into a document analysis and comparison platform. Instead of asking Ithy what it knows about a topic, you can show it the specific documents you want it to analyze, compare, or summarize and it will apply its multi-model synthesis to that material directly.
4. Shareable Research Articles
Every article generated by Ithy is automatically assigned a unique public URL that anyone can read. This is a feature most people overlook but it changes the professional utility of the tool significantly.
Instead of copy-pasting AI output into an email or document, you can share a direct link to a fully formatted research article. Colleagues see the same structured, sourced output you generated. For teams, agencies, and researchers, this shareable format makes Ithy output immediately usable as a communication and collaboration tool, not just a personal research aid.
⚠️ What Ithy Does Not Do An Honest Assessment
Every tool has limitations, and understanding Ithy's is as important as understanding its strengths. Here is an honest account of the scenarios where Ithy may not be the right choice or where you should supplement it with other tools.
It is not a conversational tool. Ithy is optimized for research queries that produce article-format output. If you need a back-and-forth conversation refining ideas iteratively, brainstorming, creative writing with multiple revision rounds ChatGPT or Claude's conversational interface is more appropriate. Ithy's strength is delivering a comprehensive answer to a well-defined question, not iterating through open-ended dialogue.
Complex code generation is not its primary use case. For writing, debugging, and explaining code, single-model tools like Claude or GitHub Copilot which are specifically optimized for code will generally perform better than a research-oriented aggregator. Ithy can explain technical concepts and compare frameworks effectively, but hands-on code generation is better served by dedicated coding AI tools.
The points system requires some management. Because Ithy operates on a points model for its most advanced features, heavy users will need to manage their point balance. Harder questions earn more points, which offsets usage but users who run many queries daily may need to evaluate whether Ithy Pro is appropriate for their usage level.
Output quality depends on question quality. Ithy's aggregation approach amplifies the quality of a well-structured question but a vague or poorly defined query produces a broader, less targeted output. The more precisely you define what you need, the more precisely Ithy can synthesize toward it. This is true of all AI tools, but it is especially pronounced with Ithy because the synthesis layer is calibrating multiple model outputs simultaneously.
Frequently Asked Questions
Here are the most detailed answers to the questions people ask most often when discovering Ithy for the first time.
Is Ithy actually free, and what does the free tier include?
Yes Ithy has a genuinely usable free tier. Creating a free account immediately gives you bonus points, and you earn additional points with every question you ask. The points system means your access grows with your usage rather than being capped arbitrarily. The free tier includes access to both Fast Research and Deep Research modes. Ithy Pro, unlocked through the points system or a paid subscription, provides access to additional models, higher usage limits, and premium features. The platform's model is designed so that casual and moderate users can get significant value without ever paying and heavier users have a clear path to expanded access.
Which specific AI models does Ithy aggregate?
Ithy aggregates responses from the world's leading AI models, including those from OpenAI (GPT-4o), Google (Gemini), Anthropic (Claude), Meta (Llama), and DeepSeek including the recently added DeepSeek V3.1 Thinking model. The platform continuously updates its model roster as new models are released and benchmarked. Rather than choosing between these models, Ithy runs your query through multiple simultaneously and applies its synthesis layer to combine the best of all their outputs. The specific models engaged for any given query depend on the research mode selected and the nature of the question.
What does the #1 GPQA benchmark score actually mean in practice?
GPQA stands for Graduate-Level Google-Proof Questions and Answers. It is an academic benchmark designed to test AI performance on extremely difficult questions the kind that require doctoral-level domain expertise and cannot be answered by simple web searches. Questions on the GPQA benchmark are so difficult that even PhD-level domain experts answer them correctly only about 65% of the time. Ithy's aggregation approach combining and cross-referencing multiple model outputs consistently achieves higher GPQA scores than any individual model, including the flagship models from OpenAI, Google, and Anthropic. In practical terms, this means Ithy is measurably more reliable on complex, nuanced, expert-level questions than any single AI you could use instead.
How does Ithy handle source citations and accuracy?
Ithy's web-connected models pull from live sources and include citations in the output articles. The aggregation approach also provides a natural error-checking mechanism when multiple models are synthesized, claims that are consistent across models receive higher confidence weighting, while claims that appear in only one model's output are treated with more caution. This does not make Ithy immune to errors, but it significantly reduces the hallucination risk that affects all single-model AI tools. For high-stakes content medical, legal, financial you should always verify key claims against the cited primary sources. But the overall accuracy level, especially on well-documented topics, is consistently higher than single-model alternatives.
Can I use Ithy for content creation and SEO articles?
Yes content creation is one of Ithy's strongest practical use cases. The Deep Research article format is already structured with headings, sections, and supporting data, providing a comprehensive research foundation that would normally take hours to assemble manually. SEO professionals and content creators typically use Ithy to generate a fully researched, structured first draft, then layer in their own voice, original insights, specific examples, and editorial judgment before publishing. The combination of multi-model synthesis and article-format output makes this workflow significantly faster than manual research plus single-model AI drafting. Ithy handles the research architecture; the human creator adds the perspective and originality.
How does Ithy compare to Perplexity AI for research?
Both tools are designed for research rather than conversation, and both provide sourced answers but they differ significantly in architecture and output format. Perplexity AI queries the live web through a single underlying model at a time (though users can switch between models), and delivers cited paragraph-format answers. Ithy simultaneously queries multiple AI models, adds its own synthesis layer, and delivers a fully structured interactive article with charts, visual elements, and shareable URLs. For most research tasks, Ithy produces a more comprehensive, more visually organized, and more immediately usable output. Perplexity remains excellent for quick sourced answers and real-time news queries. The two tools complement rather than replace each other for serious research workflows.
Final Verdict: Ithy Is the Most Significant Step Forward in AI Research Tools Since ChatGPT Launched
When ChatGPT launched in late 2022, it changed how millions of people interact with information. For the first time, you could ask a question in natural language and receive a coherent, useful answer from an AI without needing to construct a search query, open multiple tabs, or synthesize information from different sources yourself.
Ithy represents the next step in that evolution. The insight at the core of Ithy that combining multiple AI models produces better output than any single model is both obvious in retrospect and genuinely difficult to execute well. The benchmark results, the user growth, and the coverage from Fast Company, The Intelligence, and major academic institutions all suggest that Ithy has executed it well.
The interactive article format, the under-60-second Deep Research speed, the URL sourcing feature, the shareable output, and the points-based access model all come together to create a research tool that is genuinely more capable than anything else currently available for the tasks it is designed for. It is not perfect no tool is and for conversational use cases or hands-on code generation, single-model tools retain specific advantages. But for research, analysis, comparison, and comprehensive question answering, Ithy is the most powerful option on the market right now.
The free tier makes it risk-free to find out for yourself. Sign up, earn your bonus points, and run your first Deep Research query on a topic you are actively working on. The result will tell you everything you need to know about whether this is the tool your workflow has been missing.
👇 Have you tried Ithy yet? How does its Deep Research compare to your current AI workflow? Drop your experience in the comments I read every one.
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