We found 38 YouTube channels similar to CARTO
Both target AI-driven geospatial analysis and spatial data science, sharing high search overlap on queries like AI geospatial analysis and AI agents geospatial, with Matt Forrest showing deeper content overlap (78%) that aligns with CARTO's focus.
Both cover AI geospatial analysis and geospatial workflows; their search overlap is moderate (35%) but content is strong (85%), indicating they attract a similar audience with more workflow-oriented material than CARTO.
Both align on AI geospatial analysis and spatial data science, with Esri Events capturing a broad geospatial audience via high-search queries and CARTO-like content around geospatial tools (content 77%).
Both focus on AI geospatial analysis and location intelligence, sharing substantial audience interest through similar queries and producing content that overlaps with CARTO's geospatial tooling discussions.
Both compete for attention on AI geospatial analysis and geospatial AI tools, with Google Research showing broad search interest matching CARTO’s topic space and complementary technical content.
Both address geospatial AI tools and urban modeling geospatial topics, sharing a significant audience around geospatial tooling and enterprise-scale cloud GIS, as reflected in their query overlap.
32 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 54% | Bunting Labs | 81% | 2.0K | 14% | 3 |
| #8 | 54% | IBM Technology ▶ | 78% | 1.6M | 18% | 6 |
| #9 | 53% | ArcGIS | 73% | 85.3K | 22% | 13 |
| #10 | 52% | Bilawal Sidhu | 77% | 117K | 16% | 3 |
| #11 | 52% | Geospatial World ▶ | 82% | 79.8K | 8% | 5 |
| #12 | 51% | Esri Industries | 77% | 26.9K | 12% | 9 |
| #13 | 51% | Open Geospatial Solutions | 76% | 60.1K | 14% | 7 |
| #14 | 51% | Geospatial Analysis | 80% | 18.2K | 6% | 3 |
| #15 | 50% | Google Maps Platform | 76% | 47.1K | 10% | 6 |
| #16 | 50% | Kinetica | 75% | 1.1K | 12% | 4 |
| #17 | 50% | Geospatial Professional Network (formerly URISA) | 79% | 1.6K | 5% | 1 |
| #18 | 49% | Geospatial Solution | 77% | 5.5K | 7% | 3 |
| #19 | 49% | Databricks | 74% | 154K | 12% | 8 |
| #20 | 49% | GeoDa Software | 78% | 15.2K | 6% | 3 |
| #21 | 49% | Python Italia | 68% | 4.6K | 20% | 4 |
| #22 | 48% | Atlas | 77% | 2.2K | 5% | 3 |
| #23 | 48% | The Alan Turing Institute | 77% | 56.6K | 6% | 4 |
| #24 | 48% | FOSS4G | 74% | 5.5K | 9% | 4 |
| #25 | 47% | Google for Developers | 75% | 2.6M | 5% | 4 |
| #26 | 47% | Actuaries Institute | 74% | 2.4K | 6% | 1 |
| #27 | 46% | The NDS Show | 73% | 7.2K | 5% | 4 |
| #28 | 46% | Dassault Systèmes | 73% | 88.3K | 5% | 5 |
| #29 | 45% | ByteByteGo ▶ | 67% | 1.4M | 13% | 3 |
| #30 | 45% | The OR Society | 66% | 7.2K | 13% | 2 |
| #31 | 45% | Abiola David - Databricks and Microsoft MVP | 71% | 5.4K | 6% | 1 |
| #32 | 45% | Apache Beam | 70% | 7.6K | 6% | 1 |
| #33 | 44% | Faculty ITC | University of Twente | 71% | 2.2K | 5% | 1 |
| #34 | 44% | Alex The Analyst | 68% | 1.3M | 8% | 2 |
| #35 | 44% | nullQueries | 69% | 18.1K | 6% | 1 |
| #36 | 40% | Andrea Ross | 61% | 4.1K | 7% | 4 |
| #37 | 39% | Conduite Facile | 60% | 791K | 7% | 1 |
| #38 | 38% | GFDRR | 60% | 3.6K | 5% | 1 |
Matt Forrest — 41.3K subscribers (87% match), Native GIS — 3.1K subscribers (65% match), Esri Events — 55.4K subscribers (59% match). All three are GIS-focused YouTube channels with content related to geographic information systems and spatial technology, similar to CARTO's emphasis on location intelligence.
CARTO creates videos about AI-driven spatial analysis, AI Agents, real-time mobility insights, onboarding and tools for geography using CARTO, with an average of 633 views per video. Upload frequency is implied by the list of recent video titles, showing multiple videos in a period such as Agentic GIS, BT uses CARTO’s AI Agents, Onboarding: CARTO AI Agents, and The Agentic Interface, suggesting regular content; the average views per video are approximately 633.
We analyze CARTO's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.
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