Write a Deep Research Report
Literature discovery, evidence checking, citation integrity and synthesis into a defensible report.
This workflow produces a deep research report that is thoroughly sourced, citation-verified, and logically coherent. The combination of tools works synergistically: Perplexity provides a rapid, broad exploration of the topic with web sources; Elicit narrows to relevant scientific literature; Consensus synthesizes what the peer-reviewed research collectively says; Scite validates the context and integrity of citations; NotebookML organizes and deepens understanding of your own document collection; finally, Claude crafts the report with long-context reasoning. This stack is designed for researchers, analysts, and students who need a defensible report with traceable evidence.
The workflow, step by step
- 1
Explore the topic with deep research
PerplexityUse Perplexity's deep research mode to get a broad overview from the web, complete with citations. This step quickly reveals key questions, terminology, and high-level sources, saving hours of manual searching.
Hand-off → A set of initial research questions, key terms, and a list of highly cited web pages and articles.
- 2
Identify relevant scientific papers
ElicitElicit specializes in finding academic papers based on your queries, extracting claims and summaries. It outperforms general search in precision for scholarly literature.
Hand-off → A prioritized list of papers with abstracts, extracted claims, and relevance scores.
- 3
Synthesize findings from peer-reviewed literature
ConsensusConsensus aggregates answers from multiple studies, showing agreement or disagreement. It provides a quick meta-analysis of what the research community says about your key questions.
Hand-off → A synthesized summary of consensus (or gaps) on key points, with direct links to supporting papers.
- 4
Verify citation context and evidence
SciteScite classifies how papers cite each other (supporting, contrasting, mentioning). Use it to confirm that your key claims are backed by proper evidence and to detect citation misrepresentation.
Hand-off → A report on citation integrity: which claims are supported, contradicted, or need further verification.
- 5
Organize and deep-dive into your sources
NotebookLMUpload all collected papers and notes into NotebookLM. It answers questions strictly from your sources, helping you connect ideas and identify gaps in your argument.
Hand-off → A structured set of notes, answers, and an outline synthesizing all source material.
- 6
Draft the final report
ClaudeClaude's long context and nuanced reasoning allow it to produce a well-structured, coherent report from your outline and notes. It excels at creating logical flow and clear argumentation.
What this stack costs per month
- Perplexityfreemium, pricing not published
- Elicitfreemium, pricing not published
- Consensusfreemium, pricing not published
- Scitefrom $20/mo
- NotebookLMfreemium, pricing not published
- Claudefreemium, pricing not published
Computed from each vendor's published monthly prices as we last verified them — tap a tool for its full pricing breakdown and price history.
All tools in this stack
Perplexity
Source-cited AI answer engine for live web research, file analysis, premium data...
4.6
搜索研究与知识管理
Perplexity has a free Standard tier for basic cited search. The main paid individual plans are Pro at $20/month and Max at $200/month. Education Pro is $10/month for verified students and educators. Enterprise pricing is per seat: Enterprise Pro is $40/seat/month or $400/seat/year, while Enterprise Max is $325/seat/month or $3,250/seat/year. Perplexity API usage is separate from web subscriptions and is billed by API request, token usage, tool invocation, sandbox session, and embeddings tokens.
Elicit
AI research assistant for searching papers, generating cited reports, and automa...
4.4
搜索研究与知识管理
Elicit has a free Basic plan, separate Academic and Industry price ladders, monthly and yearly billing, and a custom Enterprise plan. API access starts on Pro. Yearly billing materially reduces the displayed per-user monthly equivalent. The pricing page observed on 2026-07-08 also showed an Academic yearly Plus label that reads "Per user/year" while billing $132 annually; this entry records the displayed annual billing rather than normalizing it silently.
Consensus
AI research workspace for searching, synthesizing, and organizing evidence from ...
4.4
搜索研究与知识管理
Consensus has a free individual tier, paid Pro and Deep individual tiers, a Teams plan for organizations up to 200 seats, Enterprise custom pricing, and an application-only Search API. The official pricing page currently displays annual-equivalent individual pricing: Pro $12/mo billed $144 annually and Deep $45/mo billed $540 annually. The official team pricing page displays Teams at $20/seat/mo billed $240 annually and Enterprise as custom. The Help Center article last updated April 30, 2026 still lists Pro as $15/month or $120/year, and Deep as $65/month or $540/year. Because both are official sources, this record preserves the discrepancy rather than silently normalizing it.
Scite
AI research platform for academics that verifies papers through Smart Citations,...
4.2
搜索研究与知识管理
The official pricing page shows three self-serve paid plans plus Enterprise. Monthly billing starts at Basic $20/month, Pro $50/month, and Team $100/month for two included users. Annual billing lowers the effective monthly price to Basic $12/month billed $144 annually, Pro $40/month billed $480 annually, and Team $80/month billed $960 annually. Enterprise is quote-based. The pricing FAQ says the free trial lasts 7 days and then enrolls the user into the plan selected at trial start unless canceled before the trial ends.
NotebookLM
Source-grounded AI research assistant that turns user-provided documents, videos...
4.5
搜索研究与知识管理
NotebookLM does not currently present a standalone consumer-only paid price in the official pages reviewed. The official upgrade paths are Google AI plans, Google Workspace plans or add-ons, and Google Cloud enterprise licensing. NotebookLM Standard is free with a Google account or qualifying Workspace access. In the United States, Google AI Plus is $4.99/month, Google AI Pro is $19.99/month, and Google AI Ultra starts at $99.99/month with a second $199.99/month tier. Google Workspace Business editions have official per-user prices, and Google Cloud enterprise pricing is quote-based.
Claude
AI thinking partner for writing, research, coding, data analysis, file work, and...
4.8
通用助手与模型平台
Claude offers a Free plan, Pro at $20/month or $200/year, Max at $100/month for 5x Pro capacity or $200/month for 20x Pro capacity, Team Standard at $20/seat/month annually or $25 monthly, Team Premium at $100/seat/month annually or $125 monthly, Enterprise from $20/seat plus usage at API rates, an Education plan with institution pricing, and API pricing by model tokens and add-on services.
References behind this workflow
The specs, official docs and benchmarks this workflow leans on — read these before you commit, so every step rests on the source, not on hearsay.
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents - Evaluating LLM-based agents for autonomous research tasks.
In contrast, PubMed’s classification system also involves human indexers who apply the standardised Medical Subject Headings (MeSH) (van Buskirk, \APACyear1984)…
DeepResearch Bench addresses the absence of a comprehensive benchmark for systematically evaluating Deep Research Agents (DRAs). Our benchmark consists of 100 PhD-level…
Hand-reviewed primary sources — official documentation, published benchmarks, research and standards bodies only. No listicles, no affiliate links. Links last checked 2026-07-07.
Frequently asked questions
How much does this full workflow cost?
Perplexity, Consensus, and Claude have free tiers; Elicit and Scite require paid subscriptions (around $10-20/month each). You can start with free tiers for a one-time report, but full use of all features will cost roughly $30-50 per month if you need unlimited access.
Can I use free alternatives?
Yes: replace Elicit with Semantic Scholar (free, but less structured), Consensus with Google Scholar's 'cited by' and manual reading, Scite with manual citation checking, and NotebookLM with any shared document tool. However, you'll lose efficiency and depth.
Where should I start if I have no experience?
Begin with Perplexity to define your topic and gather initial sources. Then use NotebookLM to upload those sources and test your understanding before moving to paid tools. This gives a quick win without upfront cost.
What common mistake should I avoid?
Skipping the Scite step. Many researchers assume all citations are valid, leading to weak arguments. Always verify citation context to avoid citing papers that actually oppose your point.
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