Open Knowledge Maps VS Deep Search
Compare Open Knowledge Maps VS Deep Search, what is the difference between Open Knowledge Maps and Deep Search?
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Summarize
Open Knowledge Maps summarize
Open Knowledge Maps Landing Page
Deep Search summarize
Deep Search Landing Page
Compare Details
Open Knowledge Maps details
| Categories | AI Search Engine, AI Research Tool, AI Map Generator, AI Knowledge Graph, AI Papers |
| Open Knowledge Maps Website | https://openknowledgemaps.org?utm_source=toolify |
| Added Time | July 21 2024 |
| Open Knowledge Maps Pricing | -- |
Deep Search details
| Categories | AI Search Engine, AI Assistant, AI Lead Generation, AI Recruiting |
| Deep Search Website | https://www.deepsearch.bio?utm_source=toolify |
| Added Time | July 03 2026 |
| Deep Search Pricing | -- |
Comparison of usage
How to use Open Knowledge Maps?
Users can start their literature search by entering a research topic. The platform then generates a visual overview, allowing users to explore relevant papers and identify key concepts. Users can refine their search by specifying the time range, document types, and metadata quality.
How to use Deep Search?
To use DeepSearch, enter a person's name into the search bar. You can add optional details like location, company, or job title to narrow down the results. Once you pick the right person from the matching profiles, the tool will generate a structured profile and an AI summary with linked sources that you can explore further using follow-up questions.
Compare Pros between Open Knowledge Maps and Deep Search
Core features of Open Knowledge Maps
- Visual overview of research topics
- Discovery of relevant papers
- Identification of important concepts
- AI-based search engine
- Customizable search filters (time range, document types, metadata quality)
Core features of Deep Search
- AI-enriched people profiles aggregated from fragmented public signals
- Verified, linked sources for every claim in the generated brief
- Multi-source collection including social profiles, professional background, location, education, and web mentions
- Candidate matching to differentiate between people with colliding names
- Follow-up chat feature to ask targeted questions about roles, projects, or public mentions
Compare Use Cases
Use cases for Open Knowledge Maps
- Researchers exploring a new field
- Students conducting literature reviews
- Professionals seeking an overview of scientific knowledge
- Organizations embedding discovery tools into their systems
Use cases for Deep Search
- Recruiters conducting pre-outreach research on passive candidates to find their full public footprint quickly
- Founders preparing for investor and partner meetings with multi-source context in minutes
- Analysts and operators mapping markets privately without notifying the subjects of the search
Different Plan between Open Knowledge Maps and Deep Search
Open Knowledge Maps
Sorry, there are no data
Deep Search
$7.99/week
Starting subscription plan for access to DeepSearch features.
Open Knowledge Maps's traffic
Open Knowledge Maps is the one with 69.3K monthly visits and 00:01:07 Avg.visit duration. Open Knowledge Maps has a Page per visit of 3.26 and a bounce rate of 41.52%.
Visit Over Time
| Monthly Visits | 69.3K |
| Avg·visit Duration | 00:01:07 |
| Page per Visit | 3.26 |
| Bounce Rate | 41.52% |
Deep Search's traffic
Deep Search is the one with 63.0K monthly visits and 00:01:03 Avg.visit duration. Deep Search has a Page per visit of 3.00 and a bounce rate of 26.40%.
Visit Over Time
| Monthly Visits | 63.0K |
| Avg·visit Duration | 00:01:03 |
| Page per Visit | 3.00 |
| Bounce Rate | 26.40% |
Geography
The top 5 countries/regions for Open Knowledge Maps are:Indonesia 45.23%, United States 6.03%, Brazil 4.59%, Vietnam 3.37%, Germany 2.88%
Top 5 Countries/regions
 | 45.23% |
 | 6.03% |
 | 4.59% |
 | 3.37% |
 | 2.88% |
Geography
The top 5 countries/regions for Deep Search are:Indonesia 56.77%, India 21.80%, United States 14.45%, Philippines 1.78%, Pakistan 1.49%
Top 5 Countries/regions
| 56.77% |
 | 21.80% |
| 14.45% |
 | 1.78% |
 | 1.49% |
Traffic Sources
The 6 main sources of traffic to Open Knowledge Maps are:vs_sourcesSearchOrganic 46.75%, Direct 39.92%, vs_sourcesGenAi 5.54%, Referrals 4.55%, vs_sourcesSocialOrganic 2.70%, vs_sourcesSocialPaid 0.55%, Mail 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%
vs_sourcesSearchOrganic | 46.75% |
Direct | 39.92% |
vs_sourcesGenAi | 5.54% |
Referrals | 4.55% |
vs_sourcesSocialOrganic | 2.70% |
vs_sourcesSocialPaid | 0.55% |
Mail | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
Traffic Sources
The 6 main sources of traffic to Deep Search are:vs_sourcesSearchOrganic 82.05%, Direct 14.32%, vs_sourcesGenAi 2.63%, Referrals 1.00%, Mail 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%, vs_sourcesSocialOrganic 0.00%
vs_sourcesSearchOrganic | 82.05% |
Direct | 14.32% |
vs_sourcesGenAi | 2.63% |
Referrals | 1.00% |
Mail | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
vs_sourcesSocialOrganic | 0.00% |
Which is better: Open Knowledge Maps or Deep Search?
Open Knowledge Maps might be a bit more popular than Deep Search.As you can see, Open Knowledge Maps has 69.3K monthly visits, while Deep Search has 63.0K monthly visits. So more people choose Open Knowledge Maps. So the odds are that people will recommend Open Knowledge Maps more on social platforms.
Open Knowledge Maps has an Avg.visit duration of 00:01:07, while Deep Search has an Avg.visit duration of 00:01:03. Also, Open Knowledge Maps has a page per visit of 3.26 and a Bounce Rate of 41.52%. Deep Search has a page per visit of 3.00 and a Bounce Rate of 26.40%.
The main users of Open Knowledge Maps are Indonesia, United States, Brazil, Vietnam, Germany, with the following distribution: 45.23%, 6.03%, 4.59%, 3.37%, 2.88%.
The main users of Deep Search are Indonesia, India, United States, Philippines, Pakistan, with the following distribution: 56.77%, 21.80%, 14.45%, 1.78%, 1.49%.
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