Cited research with inline sources
Perplexity Sonar Pro (under the hood) gathers 5-10 sources with inline citations, then Claude synthesizes them into a structured brief.
AI SearchUse case
AI for research — 2026
Use multi-model AI for cited research, source synthesis, fact-checking, and deep-dive reports — without doom-scrolling 20 tabs.
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Research workflows split into three phases: (1) gathering sources from the live web, (2) reading long documents (papers, contracts, reports), and (3) synthesizing into a deliverable. Each phase has a different optimal AI. Single-vendor tools cover one phase well — Perplexity is great at gathering, ChatGPT is okay at all three but excels at none. The pages below show how to chain models per phase for higher-quality output and lower cost.
Pain points with single-vendor AI
- •Perplexity is great for sourcing but bad at long-form synthesis.
- •ChatGPT browses the web but doesn't cite as cleanly as Perplexity.
- •200-page PDFs hit Claude's free context limit; Gemini handles them but you don't subscribe to Gemini.
- •Different models give different answers — no easy way to spot disagreement.
- •Citation reliability varies wildly between vendors and is hard to verify.
How researchers, analysts, students, journalists use Vincony
Analyze a 200-page PDF
Gemini 3 Pro (2M token context) ingests the whole document in one shot. Ask for executive summary, clause-by-clause comparison, or specific quotes.
Compare Chat → Gemini 3 ProFact-check a contested claim
Multi-model consensus queries 3 different models with web access. Inconsistent answers signal something to investigate further.
Fact CheckerSpot hallucinations before citing
Cross-check any AI answer with the Hallucination Detector — the AI-output tab inside Verify — which flags claims that disagree with the cited sources.
Verify → Hallucination Detector tabSynthesize 20 papers into a literature review
Research Synthesizer — the Research tab inside Multi-Model — accepts URL or PDF inputs and produces a structured comparison with consistent citation formatting.
Multi-Model → Research Synthesizer tabSample prompts that work
Prompt
"Find peer-reviewed research from the last 18 months on the effectiveness of [GLP-1 agonists] for [non-diabetic weight loss]. Summarize with citations."
Why this prompt
Cited sourcing — Perplexity Sonar Pro returns 5-10 sources with proper citation density.
Recommended model
Perplexity Sonar Pro (via AI Search)
Prompt
"I've attached the 280-page Section 230 reform draft. List clauses that conflict with the EU Digital Services Act — quote exact text."
Why this prompt
Long-document comparison. Gemini 3 Pro's 2M context handles both documents at once.
Recommended model
Gemini 3 Pro
Prompt
"Three AI articles disagree about Nvidia's 2026 revenue. Which has the most defensible citations, and what's the consensus number?"
Why this prompt
Source-quality reasoning. Consensus Engine queries 3 models and surfaces which sources actually back each number.
Recommended model
Consensus Engine
Prompt
"Summarize these 8 academic papers (attached) into a literature review section in IEEE format with proper citations."
Why this prompt
Multi-source synthesis. Research Synthesizer + Claude Opus 4.5 for natural academic prose.
Recommended model
Research Synthesizer + Claude Opus 4.5
Recommended Vincony plan
Pro ($24.99/mo) or Power ($54.99/mo)
Pro covers most researchers. Bump to Power if you frequently use Sonar Pro (3 credits/query adds up) or generate 5,000+ words/day.
Start free — 100 creditsOne subscription. Right model for every task.
Vincony bundles GPT-5, Claude, Gemini, Perplexity Sonar Pro, DeepSeek, Mistral, and 750+ other models on one $0/month account. Pick the model per task — pay only for what you use.