AI Research Tools 2026: Elicit, Consensus, Perplexity Pro, and What I Use for Different Jobs
“AI research” means different things depending on who’s asking. A student writing a thesis needs different tools than a marketer doing competitor analysis. After three months of using Elicit, Consensus, and Perplexity Pro for actual research tasks, here’s the breakdown.
The 30-second answer
- Elicit for academic literature review. Searches papers, summarizes findings, lets you query studies.
- Consensus for evidence-based questions (“does X cause Y?”) with academic citations.
- Perplexity Pro for general research with current web sources.
These are not interchangeable. The tool depends on the job.
Pricing (June 2026)
| Tool | Free tier | Paid | What you get |
|---|---|---|---|
| Elicit | 5 monthly queries with full features | $12/mo (Plus) | More queries, paper-specific extractions |
| Consensus | 20 queries/mo | $9/mo (Premium) | Unlimited queries, GPT-4 synthesis |
| Perplexity Pro | Limited Pro searches/day | $20/mo (Pro) | Unlimited Pro searches, file uploads |
All cheaper than ChatGPT Plus. None of them replace a chat AI for general work — they’re complement, not substitute.
What Elicit does well
Targeted paper search. Type a question. Elicit returns relevant academic papers with structured summaries (what was the population, intervention, outcome, etc).
Extract data across papers. Upload 10 papers. Ask “what were the sample sizes?” and Elicit pulls the answer from each as a table. Saves hours of manual reading.
Built for systematic reviews. If you’re doing a structured literature review, the workflow is purpose-built.
Filters out preprints, retracted, low-quality. You can constrain to peer-reviewed only.
Use case I tested: I wanted to understand the current evidence on “does intermittent fasting improve metabolic health in non-obese adults?” Elicit returned 12 papers, extracted intervention details and outcomes into a table, flagged 2 papers as the strongest evidence. 20 minutes vs probably 3 hours manually.
What Elicit can’t do
Current events. Papers take months to publish. For anything happening this year, Elicit is the wrong tool.
General questions. “How do I write a good product launch email?” — Elicit will return academic papers on marketing communication. Not what you need.
Web content. Doesn’t search blogs, news, company sites.
What Consensus does well
“Does X cause Y?” questions. Built around the literal “what is the consensus” framing. Returns papers with their conclusions and a synthesized answer about agreement/disagreement in the literature.
Conversational interface. Easier to use than Elicit for someone who isn’t trained in academic research.
Free tier is genuinely usable. 20 queries/mo can cover casual users without paying.
Use case I tested: “Does standing desk usage actually improve productivity?” Consensus returned the synthesized view — “Studies show mixed results, most rigorous studies find small or no effect on productivity but measurable health benefits.” Then 8 papers cited. Clear, honest, useful.
What Consensus can’t do
Deep extraction across many papers. Where Elicit pulls structured data from 10 papers, Consensus shows you the top 8 and their conclusions. Less power for systematic reviews.
Non-academic content. Like Elicit, Consensus only searches academic databases. Industry reports, blog posts, news — not covered.
What Perplexity Pro does well
Current information with citations. “What are the recent funding rounds for AI startups in 2026?” — Perplexity searches the live web, returns answers with clickable citations to news articles, company blogs, etc.
General research questions. “Compare hosting options for a static site.” Perplexity returns synthesized answer pulling from multiple current sources.
File upload + analyze. Upload a PDF. Ask questions about it. Perplexity reads and answers. Useful for analyzing a single report deeply.
Pro mode = better models. GPT-4o, Claude 3.5 Sonnet, etc. under the hood, depending on what you select.
What Perplexity can’t do
Deep academic review. It searches the web — not curated academic databases. Will find papers if they’re on Google Scholar, but you’ll miss preprints and paywalled work.
Multi-paper extraction. Can’t extract structured data from 20 papers like Elicit can.
Conversation depth. Multi-turn refinement is okay but feels less natural than ChatGPT or Claude.
My actual workflow
Academic / scientific research (intermittent fasting study, meta-analysis on X, etc.):
- Start with Elicit to find relevant papers and extract data.
- Use Consensus to verify “is there consensus on this?”
- Read top 3-5 papers directly to form my own view.
Business / industry research (competitor analysis, market sizing, technology adoption):
- Start with Perplexity Pro for current web sources.
- If I need deeper, upload PDFs from key reports to Perplexity for analysis.
- Cross-check key claims by clicking through to sources.
Quick fact checks (single questions like “what’s the average open rate for B2B newsletters?”):
- Perplexity Pro every time. Cites a current source within seconds.
What I stopped using
Google Scholar alone: too much manual reading. Wikipedia for serious research: it’s the starting point, not the source. Asking ChatGPT for citations: hallucination rate too high; the citations are sometimes plausible-sounding but fake.
The combined cost question
Running all three: $12 (Elicit) + $9 (Consensus) + $20 (Perplexity Pro) = $41/mo. That’s significant.
What I actually pay: Perplexity Pro ($20/mo) + Elicit free tier (5 queries lasts most months).
Consensus’s $9 was hard to justify when its overlap with Elicit + Perplexity is real. For a researcher doing serious academic work, the $9 is easy to justify. For me, it isn’t.
How to pick for your work
If you’re a student, academic, or anyone doing serious literature review: Start with Elicit free. Upgrade if you exceed 5 queries/mo. Add Consensus if you need more conversational use.
If you’re a knowledge worker doing business/marketing/competitive research: Start with Perplexity Pro. Skip the others until you have a specific academic need.
If you’re a doctor, researcher, or scientist: Elicit Plus + Consensus Premium is worth the $21/mo. Skip Perplexity if you don’t need general web research.
If you’re just curious and learn from the web: Perplexity free tier is enough. Don’t pay yet.
The bigger picture
In 2026, “researching” no longer means “Google + 30 tabs.” AI tools do the first pass. But they don’t do the verification. The skill that matters now is reading citations critically — knowing which sources are trustworthy, which aren’t, and when a tool is making something up.
The fastest researcher in 2026 isn’t the one with the most expensive subscriptions. It’s the one who knows which tool to reach for and how to verify what it says.
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