# Consensus vs Teaming

Consensus records 6,014,388 monthly visits with -1.2% month-over-month growth and Freemium pricing. Teaming records 944 monthly visits with +926.1% growth and Free Trial, Paid pricing.

| Metric | [Consensus](https://openaitools.app/tool/consensus) | [Teaming](https://openaitools.app/tool/teaming) |
| :--- | :--- | :--- |
| Website URL | https://consensus.app | https://www.teaming.com |
| Categories | AI Search Engine, AI Research Tool, AI Papers, AI Article Summarizer | AI Review Generator, AI Coaching, AI Meeting Assistant, AI Report Generator |
| Pricing Model | Freemium | Free Trial, Paid |
| Monthly Visits | 6,014,388 | 944 |
| MoM Growth Rate | -1.2% | +926.1% |
| Primary Market | United States | Brazil |
| Direct Visits | 2,918,713 | 358 |
| Review Score | 4.7 | 4.1 |
| Saved Count | 31 | 1 |
| Supported Platforms | Website | Website |

## Consensus

Consensus works like a scholarly search engine supercharged by AI. Instead of returning a flat list of PDFs, you ask a natural-language research question and Consensus extracts claims from relevant papers, then shows you what the studies actually find. A Consensus Meter summarizes the weight of evidence for yes/no questions, so you can see at a glance whether scientists largely agree, disagree, or remain divided.

The platform indexes hundreds of millions of peer-reviewed papers spanning medicine, biology, psychology, economics and more. Answers link straight back to the source studies, and you can filter by study design, journal quality, sample size and publication year to separate stronger evidence from weaker signals. Features like Deep Search, Topic Synthesis and Skills let researchers build a working knowledge base over time rather than starting from scratch on every query.

Consensus is designed for researchers, clinicians, students and analysts who need trustworthy signals from the scientific record without drowning in irrelevant results. A free tier gives limited AI-powered searches each month, while paid plans unlock unlimited use, advanced filters and deeper synthesis.

**Pricing & Plans:** Freemium. A free tier offers a limited number of AI-powered searches per month; paid individual plans unlock unlimited searches and advanced research features, with discounted student pricing and team/enterprise options.

- **Evidence-grounded answers:** Ask a research question in plain language and get answers synthesized from peer-reviewed studies, with each claim linked to its source paper.
- **Consensus Meter:** A visual summary shows how the scientific literature leans on a yes/no question, indicating agreement, disagreement or mixed evidence.
- **Powerful filters:** Narrow results by study design, sample size, journal quality, publication year and more to prioritize high-quality evidence.
- **Topic synthesis and Deep Search:** Aggregate findings across many studies into structured summaries that map what is known and where the gaps are.
- **Research workspace:** Save papers, organize sources and build a persistent knowledge base for literature reviews and ongoing projects.

**Strengths:** Answers cite real peer-reviewed papers, so claims are verifiable; Consensus Meter makes it easy to gauge scientific agreement at a glance; Rich filters help separate high-quality evidence from weaker studies; Fast, clean interface designed around research workflows

**Limitations:** Free tier caps the number of AI-assisted searches per month; Coverage is strongest for STEM and health fields, lighter for some humanities topics; It guides you toward sources but is not a substitute for reading full papers

[Profile (Markdown)](https://openaitools.app/tool/consensus.md)

## Teaming

Opre, which grew out of the performance-management platform originally launched as Teaming, replaces episodic annual reviews with continuous, automated insight into how a team actually works. It attends your 1:1s and team meetings, summarizes what was discussed, detects tasks and topics, and gradually builds profiles of each person's working style so managers can lead with context instead of guesswork.

The product is built around three audiences. Managers get AI performance reviews, personalized feedback, difficult-conversation guides and suggested 1:1 topics. Direct reports get private task lists, goal tracking and visibility into their own working style. HR teams get aggregated team-health analytics, performance metrics and mentoring workflows that scale across the organization.

Opre is a commercial SaaS product from Meetingful, Inc. with a published per-employee plan of $25 per employee per month billed annually, which includes all features for every employee, and an entry point via a 14-day free trial. Custom per-manager and company-level pricing is available for larger organizations that need consolidated invoicing and analytics.

**Pricing & Plans:** Free 14-day trial. Published plan is $25 per employee per month billed annually with all features included; per-manager and custom company pricing is quoted on request.

- **AI-generated performance reviews:** Generate complete, objective performance reviews and forecasts in a single click, based on your team's actual work and communication rather than last-minute recollection.
- **Meeting intelligence:** Opre listens to 1:1s and team meetings to produce note summaries, key points organized by topic, suggested agendas and automatically detected tasks.
- **Working styles and DiSC:** Personal work-style and leadership profiles built on the DiSC assessment, plus team strength and blind-spot analysis.
- **Team health and OKRs:** Anonymous team surveys across seven dimensions of team health, plus a team task manager and goals/OKR tracking with automated performance highlight reels.
- **Privacy and security:** Full privacy controls keep 1:1 conversations private, audio and video files are not stored, and meetings can be marked internal or external.

**Strengths:** Turns real meeting and work data into reviews, so performance feedback isn't guesswork; Covers managers, employees and HR in one platform rather than disconnected tools; Strong privacy stance — 1:1 conversations private, no stored audio or video; Free 14-day trial makes evaluation low-risk

**Limitations:** Priced per employee per month, which adds up for larger teams; Requires connecting meetings and communications before insights become useful; Annual billing required on the published per-employee plan; Some advanced analytics and HR features are gated behind custom company pricing

[Profile (Markdown)](https://openaitools.app/tool/teaming.md)

## Frequently Asked Questions

### How do Consensus and Teaming compare in monthly traffic?

Consensus has 6,014,388 monthly visits, while Teaming has 944. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Consensus has a month-over-month growth rate of -1.2%; Teaming has +926.1%.

### How does pricing compare?

Consensus: Freemium. Freemium. A free tier offers a limited number of AI-powered searches per month; paid individual plans unlock unlimited searches and advanced research features, with discounted student pricing and team/enterprise options. Teaming: Free Trial, Paid. Free 14-day trial. Published plan is $25 per employee per month billed annually with all features included; per-manager and custom company pricing is quoted on request.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Covers general web sources alongside academic papers, but lacks specialized scientific synthesis metrics and consensus ratings. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 2 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | Completely free access to a massive scholarly index, but offers less automated natural-language evidence synthesis than Consensus. | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 3 | [Kagi Search](https://openaitools.app/tool/kagi-search) | 4,647,605 | +3.2% | Free Trial, Paid | A paid, ad-free search engine that answers to its users | [.md](https://openaitools.app/tool/kagi-search.md) |
| 4 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | Provides deeper PDF reading and interactive literature analysis tools, but is less focused on quick evidence aggregation. | [.md](https://openaitools.app/tool/scispace.md) |
| 5 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | Performs advanced systematic review data extraction and evidence synthesis, but has a more complex interface than Consensus. | [.md](https://openaitools.app/tool/elicit.md) |
| 6 | [Jenni](https://openaitools.app/tool/jenni) | 1,498,133 | +5.2% | Freemium | The AI workspace where researchers read, write, and cite with every claim traceable to its source | [.md](https://openaitools.app/tool/jenni.md) |
| 7 | [Rayyan](https://openaitools.app/tool/rayyan) | 1,116,437 | +7.9% | Freemium | AI-assisted systematic review software for screening, extraction, and evidence synthesis at scale | [.md](https://openaitools.app/tool/rayyan.md) |
| 8 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | Tracks how papers are cited with Smart Citations to gauge reliability, but features a less direct Q&A synthesis. | [.md](https://openaitools.app/tool/scite.md) |
| 9 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Excellent for visual citation mapping and literature discovery, but lacks automated paper Q&A and evidence synthesis. | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 10 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Visualizes research connections through interactive graphs for literature discovery, but does not provide direct Q&A synthesis. | [.md](https://openaitools.app/tool/connected-papers.md) |

---
Source: https://openaitools.app/compare/consensus-vs-teaming

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)