# Rayyan vs SOMA

Rayyan records 1,116,437 monthly visits with +7.9% month-over-month growth and Freemium pricing. SOMA records 0 monthly visits with 0% growth and Freemium pricing.

| Metric | [Rayyan](https://openaitools.app/tool/rayyan) | [SOMA](https://openaitools.app/tool/soma) |
| :--- | :--- | :--- |
| Website URL | https://www.rayyan.ai | https://soma.science |
| Categories | AI Research Tool, AI Productivity Tools, AI Project Management, AI Workflow | AI Research Tool, AI Knowledge Graph, AI Healthcare, AI Productivity Tools |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 1,116,437 | 0 |
| MoM Growth Rate | +7.9% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 677,880 | 0 |
| Review Score | 4.5 | 4.2 |
| Saved Count | 1 | 5 |
| Supported Platforms | Website | Website |

## Rayyan

Rayyan is a dedicated platform for systematic literature reviews and evidence synthesis, used by more than a million researchers at tens of thousands of institutions across over 190 countries. Rather than being a general reference manager, it maps directly onto the standard review pipeline: importing references from multiple sources, organizing them into a library, inviting collaborators with defined roles, deduplicating the corpus, and then working through title and abstract screening followed by full-text screening with conflict resolution.

The AI layer centers on ResearchPilot, which provides zero-shot relevance ratings, an AI Analyzer, an AI Reviewer, and automated data extraction designed to be dramatically faster than manual workflows. Rayyan also ships a Systematic Auto-Resolver that can deduplicate up to 200,000 references based on your own protocol in a single action, plus a mobile app that lets reviewers screen studies on the go or even offline. Small productivity touches like programmable hot keys and randomized data sampling help teams divide large workloads without losing coordination.

Beyond screening, Rayyan covers the back half of a review too. Teams define structured data extraction fields, apply PICO frameworks to structure evaluation, capture study-level data, assess Risk of Bias with dedicated tooling, and generate PRISMA flow diagrams for publication. A strong emphasis on auditability and transparency means every decision is traceable and reproducible. An API is available to extend Rayyan beyond the interface, and pricing runs from a generous free tier for basic use up to enterprise plans for institutional research programs.

**Pricing & Plans:** Free forever for basic use with no credit card required, making core screening and deduplication accessible to individual researchers. Paid and enterprise plans unlock advanced capabilities such as ResearchPilot, Risk of Bias, and institutional features; pricing details are available on the site and through sales.

- **Automatic deduplication:** The Systematic Auto-Resolver deduplicates up to 200,000 references using your own inclusion and exclusion protocol with one click.
- **ResearchPilot AI:** ResearchPilot delivers zero-shot relevance ratings, an AI Analyzer, an AI Reviewer, and auto-extraction to speed up search, screening, and data capture.
- **Screening and conflict resolution:** Work through title, abstract, and full-text screening with inclusion and exclusion tagging, conflict resolution, and blinded reviewer modes.
- **Data extraction and PRISMA reporting:** Capture structured study data with configurable extraction fields, apply PICO frameworks, and export results with auto-generated PRISMA diagrams.
- **Collaboration and scalability:** Randomly sample subsets, divide workloads, manage roles, and screen offline via the mobile app, with full audit trails for reproducibility.

**Strengths:** Covers the full systematic review workflow from import to PRISMA export; ResearchPilot AI speeds up search, screening, and extraction; Deduplicates up to 200,000 references from your own protocol; Offline-capable mobile app for screening anywhere

**Limitations:** Full-text screening workflows still demand significant reviewer time; Some advanced AI capabilities are aimed at enterprise and institutional plans; Requires structuring your review protocol to get the most from automation

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

## SOMA

SOMA tackles a familiar bottleneck in biomedical research: the volume of published studies grows faster than anyone can read, and the useful signal is scattered across thousands of papers that each describe one or two variables. SOMA ingests that literature, uses language models to extract the factors, exposures, biomarkers and conditions each study discusses, and records the relationships between them. The result is a graph you can navigate rather than a folder of PDFs you have to grep.

In practice, you start from a question — say, a medical condition or a lifestyle factor — and follow the graph outward. SOMA shows you which related factors have been studied in connection with it and, importantly, points back to the papers behind each link. That source linkage is what keeps the tool honest: the graph is a map of what the literature claims, and the underlying studies are still the evidence.

SOMA is aimed at researchers, analysts and students who need to get oriented in an unfamiliar corner of the biomedical literature quickly. It is a discovery and synthesis aid, not an oracle — its graphs surface candidate associations, and interpreting whether a link is causal, correlational or spurious remains a human job.

**Pricing & Plans:** SOMA is listed with a freemium model: a free entry point with paid plans for heavier use. Exact quotas and plan prices were not verifiable during this check — confirm current details on the official site.

- **Entity and relationship extraction:** SOMA parses published studies and pulls out the factors, exposures and outcomes they discuss, so you can examine the evidence base without reading every paper in full first.
- **Knowledge graph of biomedical findings:** Extracted relationships are organized into a connected graph, letting you start from one condition or factor and follow the links outward to related variables.
- **Source-linked evidence:** Each relationship in the graph is tied back to the studies that reported it, so you can open the source paper and judge the evidence yourself.
- **Question-driven exploration:** Search across study relationships to see which factors have been investigated together and where findings cluster or conflict.
- **Open literature focus:** Built around open-access biomedical literature, making large-scale literature review more tractable for teams and individual researchers.

**Strengths:** Turns scattered biomedical findings into an explorable graph; Cuts the time needed to orient in an unfamiliar research area; Links relationships back to the underlying source papers; Focused on open-access literature

**Limitations:** Site reliability issues — the public domain was unreachable during our checks; Coverage is strongest in biomedicine; other research domains are thinner; Extracted relationships and association graphs are hypotheses, not clinical proof; You still need domain expertise to interpret links and judge causality

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

## Frequently Asked Questions

### How do Rayyan and SOMA compare in monthly traffic?

Rayyan has 1,116,437 monthly visits, while SOMA has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Rayyan has a month-over-month growth rate of +7.9%; SOMA has 0%.

### How does pricing compare?

Rayyan: Freemium. Free forever for basic use with no credit card required, making core screening and deduplication accessible to individual researchers. Paid and enterprise plans unlock advanced capabilities such as ResearchPilot, Risk of Bias, and institutional features; pricing details are available on the site and through sales. SOMA: Freemium. SOMA is listed with a freemium model: a free entry point with paid plans for heavier use. Exact quotas and plan prices were not verifiable during this check — confirm current details on the official site.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | A free, AI-powered academic search engine for 240M+ papers across every scientific field | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 2 | [Consensus](https://openaitools.app/tool/consensus) | 6,014,388 | -1.2% | Freemium | AI academic search engine for peer-reviewed science | [.md](https://openaitools.app/tool/consensus.md) |
| 3 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | AI research platform for reading, understanding and writing scientific papers | [.md](https://openaitools.app/tool/scispace.md) |
| 4 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | AI research assistant for evidence-based literature review and synthesis | [.md](https://openaitools.app/tool/elicit.md) |
| 5 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | Offers powerful citation analysis and smart citation metrics, but is less tailored for full PRISMA systematic review workflows. | [.md](https://openaitools.app/tool/scite.md) |
| 6 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Map the literature around the papers you love—free | [.md](https://openaitools.app/tool/researchrabbit.md) |
| 7 | [Connected Papers](https://openaitools.app/tool/connected-papers) | 750,576 | +3.1% | Freemium | Explore the academic literature as a visual graph of related papers | [.md](https://openaitools.app/tool/connected-papers.md) |
| 8 | [Paperguide](https://openaitools.app/tool/paperguide) | 371,972 | -2.9% | Freemium | AI-native workspace for literature reviews and auditable systematic reviews | [.md](https://openaitools.app/tool/paperguide.md) |
| 9 | [Scholarcy](https://openaitools.app/tool/scholarcy) | 195,058 | +4.6% | Freemium | Summarizes academic papers into interactive flashcards, but misses comprehensive systematic review screening pipelines. | [.md](https://openaitools.app/tool/scholarcy.md) |
| 10 | [Paper Digest](https://openaitools.app/tool/paper-digest) | 97,202 | -7.1% | Freemium | Generates automated summaries of academic literature, but lacks Rayyan's collaborative team screening and evidence extraction tools. | [.md](https://openaitools.app/tool/paper-digest.md) |

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Source: https://openaitools.app/compare/rayyan-vs-soma

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