Deep Research
Next-generation autonomous research agent with multi-stage analysis, dual-provider search, and full source citations.
Deep Research Technology
At the core of our service is cutting-edge autonomous research technology that combines the capabilities of modern language models with deep data analysis methodology.
Chain-of-Thought Reasoning
Step-by-step logical decomposition runs across all 6 pipeline stages — from planning to editorial. Each conclusion is derived from explicit evidence chains, never assumed.
Dual-layer Grounding
Google Search integration at planning stage for strategy context + multi-source reader and reranker for deep extraction from 50+ sources at search stage.
Cross-validation
Every fact is classified: confirmed (multi-source), single-source, or disputed. Nothing reaches the report without explicit evidence status.
Multi-agent Pipeline
6 specialized stages: Planning + Deep Search (parallel) → Source Extraction → Evidence → Structure → Generation → Editorial. Each stage validates its output.
3 AI Providers
Choose your research engine at the confirmation step. Different providers offer different depth, speed, and token cost.
Built-in Research
Integrated multi-stage pipeline: planning, source extraction, evidence analysis, structure, generation, and editorial — all in one orchestrated flow.
Perplexity Deep Research
Autonomous AI researcher with real-time web access, verified source citations, and deep multi-step analysis. Ideal for thorough, well-sourced reports.
Google Deep Research
Full-scale autonomous research agent powered by Google. Analyzes 50+ sources with multi-step reasoning, supports file attachments, and handles follow-up questions.
How It Works
Planning + Deep Search
20%Google-grounded planning builds the research strategy and section structure. Autonomous deep search runs in parallel — iterative research producing an initial evidence report.
Source Extraction
40%Multi-source search fetches sources per section in your chosen search language. Reader extracts full content, Reranker selects top-5 most relevant per query.
Evidence Analysis
65%LLM extracts and classifies facts from all sources: confirmed, single-source, or disputed. DeepSearch findings merged with web sources for complete coverage.
Structure + Generation
85%Blueprint with length targets designed first. Then sections generated sequentially with your chosen tone (neutral / formal / expert / personal) and citation style.
Editorial Review
100%Final stage audits for overconfident claims, adds SEO metadata (title, description, keywords), and compiles the full verified source list.
Configure Your Research
After submitting your query, a confirmation panel lets you fine-tune every aspect of the research before it starts.
Focused research with balanced depth. Best for clear, well-defined topics.
Extended source coverage with deeper cross-validation. Recommended for complex topics.
Exhaustive multi-round search with maximum source coverage. Mission-critical research.
Search Language
Set query language independently from the report language. Search in English for broader coverage, receive the report in Russian.
Citation Style
Numbered references [1] for academic / editorial format, or inline hyperlinks for web content.
Domain Boost
Prioritize trusted sources: arxiv.org, scholar.google.com, reuters.com. These appear first in source reranking.
Domain Exclude
Block low-quality or irrelevant domains from source analysis entirely.
Domain Restrict
Limit research to approved domains only — for compliance, competitive intelligence, or tight focus.
Tone
Neutral · Formal · Expert · Personal · Friendly — controls vocabulary, sentence structure, and voice across all generated sections.
How to Write a Query
Research quality directly depends on query formulation. The more context you provide — the more accurate the result.
Features
Multi-stage Analysis
6 sequential + parallel stages with typed handoffs. Planning, Deep Search, Extraction, Evidence, Structure, Generation, Editorial.
Current Data
Real-time extraction via multi-source reader + reranker. No stale training data — only fresh, verified sources in your chosen language.
Full Citations
Every fact linked to primary source. Choose numbered [1] or inline hyperlinks — both styles include direct URLs.
Process Transparency
Watch the AI's thought process in real time: which sources are being analyzed, which hypotheses are being tested, which conclusions are being formed.
Provider Choice
Built-in (50 tok), Perplexity Deep Research (400 tok), or Google Deep Research (1000 tok) — choose depth and budget at confirmation.
Adaptive Depth
Standard (~15 min), Enhanced (~30 min), Maximum (~60 min) — match effort to task urgency for the built-in provider.
Search Control
Separate search language, domain boost/exclude/restrict, tone, citation style — all configurable at the confirmation step.
Use Cases
Marketing Analysis
Market research, competitive analysis, trend identification, niche and audience evaluation. Data for strategic decisions.
Academic Research
Literature review, factual base collection, hypothesis testing, analysis of existing research on the topic.
Business Analytics
Due diligence, technology scouting, risk assessment, regulatory environment analysis, best practices research.
Content Production
Factual base for articles, expert content preparation, statistics and quotes collection from primary sources.
Comparison with Regular AI Chat
| Regular chat | ⚡ Deep analysis | |
|---|---|---|
| Response time | Instant | 5-60 minutes |
| Data source | Model's trained knowledge | Current internet |
| Citations | None | Numbered or inline links |
| Analysis depth | Surface-level answer | Multi-level report |
| Fact verification | No | Confirmed / single-source / disputed |
| Transparency | Black box | Visible process |
| Customization | None | Provider · Effort · Language · Domains · Tone |
Frequently Asked Questions
Start Your Research
Go to the main page and describe your topic in the chat. The AI agent will automatically determine that you need deep analysis.
Try it →