ToolMage
Connexion
Consensus
Apprentissage · 5.7M visites mensuelles

Consensus est un moteur de recherche alimenté par l'IA, conçu pour la recherche scientifique. Il parcourt plus de 200 millions d'articles évalués par des pairs pour fournir des réponses synthétisées et fondées sur des preuves aux questions des utilisateurs, faisant gagner du temps aux chercheurs, étudiants et professionnels en extrayant les principales conclusions directement de la littérature scientifique.

VS
STORM
Apprentissage · 4.2K visites mensuelles

STORM est un prototype de recherche en IA de l'Université de Stanford qui automatise la génération de rapports complets, de type Wikipédia, sur n'importe quel sujet. Il prend en charge la curation interactive des connaissances, permettant aux utilisateurs de guider le processus de recherche, de modifier les plans et de produire efficacement des articles bien structurés et cités.

Consensus vs STORM : prix, fonctions et trafic

Comparez Consensus et STORM selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

Consensus Aperçu du produit

Consensus est un moteur de recherche alimenté par l'IA, conçu pour la recherche scientifique. Il parcourt plus de 200 millions d'articles évalués par des pairs pour fournir des réponses synthétisées et fondées sur des preuves aux questions des utilisateurs, faisant gagner du temps aux chercheurs, étudiants et professionnels en extrayant les principales conclusions directement de la littérature scientifique.

Preview

STORM Aperçu du produit

STORM est un prototype de recherche en IA de l'Université de Stanford qui automatise la génération de rapports complets, de type Wikipédia, sur n'importe quel sujet. Il prend en charge la curation interactive des connaissances, permettant aux utilisateurs de guider le processus de recherche, de modifier les plans et de produire efficacement des articles bien structurés et cités.

Preview

Detailed feature comparison

FeatureConsensusSTORM
Catégorie principaleApprentissageApprentissage
Ajouté2025-08-102025-08-15
TarificationFreemiumGratuit
Site officielconsensus.appstorm.genie.stanford.edu
Type de produitSite webSite web
Performance data
Note utilisateurNon vérifiéNon vérifié
Commentaires00
Visites mensuelles5.7M4.2K
Croissance mensuelle-2.5%Non vérifié
Favoris98128
DetailsVoir les détailsVoir les détails

Consensus vs STORM monthly traffic

Compare Consensus and STORM by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Consensus vs STORM monthly traffic comparison, Consensus currently shows 5.7M visits and STORM shows 4.2K; Consensus has about 1,375.7 times the visible traffic of STORM, an absolute difference of about 5.7M visits. This reflects visible reach, not feature quality or paid users.

Only Consensus has complete third-party traffic details; STORM uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

Consensus monthly traffic:

Latest traffic

Visites mensuelles
5.7M
Durée moyenne
4:32
Pages par visite
4.37
Taux de rebond
38.7%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 3.5M Visites mensuelles
  • 2026/1: 3.9M Visites mensuelles
  • 2026/2: 4M Visites mensuelles
  • 2026/3: 5.1M Visites mensuelles
  • 2026/4: 5.9M Visites mensuelles
  • 2026/5: 5.7M Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇮🇩Indonesia35.36%2M
🇺🇸United States29.41%1.7M
🇵🇪Peru12.81%735.4K
🇮🇳India11.61%666.5K
🇩🇪Germany10.81%620.6K

Sources de trafic

Source typePercentageTraffic
Direct85.92%4.9M
Référence12.3%706.1K
E-mail1.78%102.2K

Mots-clés

concensusconsensusconsensus aielicitgoogle scholar

STORM monthly traffic:

Latest traffic

Visites mensuelles
4.2K
Traffic-based selection guidance: The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Usage comparison

Compare the core capabilities of Consensus and STORM

Consensus Core features

Apprentissage
Médecine
Écriture
Revue de Littérature

STORM Core features

Apprentissage
Assistant d'écriture
Gestion des connaissances

Use cases

Consensus Use cases

revue de la littérature
Recherche
Recherche académique
Moteur de recherche IA
analyse de données
fondé sur des preuves
vérification des faits
Chercheurs
Articles scientifiques
étudiants

STORM Use cases

revue de la littérature
Recherche
Rédaction académique
Recherche automatisée
Création de contenu
Conservation des connaissances
Synthèse des connaissances
Génération de rapports
Stanford

Consensus vs STORM:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Consensus vs STORM comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Consensus is primarily listed under “Apprentissage”, while STORM is primarily listed under “Apprentissage”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Pricing (Consensus: Freemium; STORM: Free); Monthly visits (Consensus: 5.7M; STORM: 4.2K); Favorites (Consensus: 98; STORM: 128); Website (Consensus: consensus.app; STORM: storm.genie.stanford.edu); Added (Consensus: 2025-08-10; STORM: 2025-08-15). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Consensus vs STORM monthly traffic comparison, Consensus currently shows 5.7M visits and STORM shows 4.2K; Consensus has about 1,375.7 times the visible traffic of STORM, an absolute difference of about 5.7M visits. This reflects visible reach, not feature quality or paid users.

Only Consensus has complete third-party traffic details; STORM uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.

The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Product positioning, use cases, and roles

Consensus and STORM currently overlap in shared categories: Apprentissage; shared tags: revue de la littérature et Recherche. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Consensus's unique categories/tags are Médecine, Écriture, Revue de Littérature, Recherche académique, Moteur de recherche IA, analyse de données, fondé sur des preuves et vérification des faits; STORM's are Assistant d'écriture, Gestion des connaissances, Rédaction académique, Recherche automatisée, Création de contenu, Conservation des connaissances, Synthèse des connaissances et Génération de rapports. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Consensus has no verified rating, 0 comments, 98 favorites, and 90 likes;STORM has no verified rating, 0 comments, 128 favorites, and 120 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Consensus first

Put Consensus on the priority trial list when the task aligns with “Apprentissage” and especially Médecine, Écriture, Revue de Littérature, Recherche académique, Moteur de recherche IA et analyse de données. This follows recorded positioning and does not imply unlisted capabilities are absent.

Consensus also currently records: pricing is freemium, product type is website, 5.7M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate STORM first

Put STORM on the priority trial list when the task aligns with “Apprentissage” and especially Assistant d'écriture, Gestion des connaissances, Rédaction académique, Recherche automatisée, Création de contenu et Conservation des connaissances. This follows recorded positioning and does not imply unlisted capabilities are absent.

STORM also currently records: pricing is free, product type is website, 4.2K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Consensus and STORM, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

FAQ comparative

How should I choose between Consensus and STORM?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.