Yesterday's logs, tomorrow's climate
Old Weather (oldweather.org) scores 67 out of 100 on Brand Analyzer, placing it in the Developing tier among Non-profit brands, Education brands, Other brands, in the 13th percentile of 20886 Non-profit brands.
Old Weather was a citizen-science project, founded in 2010, that enlisted volunteers to transcribe historic weather observations recorded in ships' logbooks. The initiative paired these volunteers with scientists to convert handwritten maritime records into usable climate data, while also surfacing historical and human narratives from over a century of seafaring. The project's website now serves as a legacy archive documenting its work and outcomes.
| Brand Name | Old Weather |
|---|---|
| Domain | oldweather.org |
| Industry | Non-profit, Education |
| Founded | 2010 |
| Main Competitors | Zooniverse (84/100), Weather Rescue, ACRE (Atmospheric Circulation Reconstructions over the Earth), NOAA Citizen Science Program (70/100), Southern Weather Discovery (84/100) |
Moz Domain Authority 60/100 vs category average 48 / leader 98 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,422,878 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "The legacy of Old Weather, a citizen-science project that recovered historic observations from ships’ logbooks." (Meta description: 15 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Next.js.
Social footprint: verified profiles on X (Twitter), Instagram, YouTube, GitHub; no detected presence on LinkedIn, Facebook - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is Old Weather?", Claude could identify the brand as of October 2026. Old Weather is a citizen science project that asks volunteers to transcribe historical weather observations and other data from the logbooks of ships, particularly Royal Navy and other vessels from the 19th and early 20th centuries. The transcribed data helps scientists improve h Best known for Crowdsourced transcription of old ship logbooks to recover historical weather data for climate research.
When asked "Best brands similar to Old Weather?", Claude would recommend Old Weather as of October 2026. It's a well-known, respected citizen science initiative often cited alongside Zooniverse projects for historical climate data crowdsourcing.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Old Weather's main competitors in Non-profit: Zooniverse (84/100), NOAA Citizen Science Program (70/100), Southern Weather Discovery (84/100).
Sources: Brand Analyzer scan
Old Weather has limited AI-search visibility, scoring 26/100 on Brand Analyzer's AI visibility composite (visibility 15, trust 34, recommendation 37). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Old Weather official site
Old Weather was founded in 2010. Old Weather operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Old Weather scores 37/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Old Weather official site
Old Weather was a citizen-science project, founded in 2010, dedicated to recovering historic weather observations from ships' logbooks. It united volunteers with scientists to transcribe handwritten maritime records into usable climate data. The oldweather.org site now functions as a legacy archive describing the project's mission, methods, and contributions to climate science and maritime history.
Sources: Old Weather official site
Old Weather coordinated volunteer transcription of historic ships' logbooks to recover weather observations recorded over more than a century of maritime voyages. Volunteers read handwritten log entries and converted them into structured, usable climate data for scientists. This data helped researchers better understand long-term climate patterns and historical weather conditions, while also revealing details about ships' crews, voyages, and other human stories embedded in the logs.
Sources: Old Weather official site
Old Weather can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Old Weather official site
Old Weather did not sell products but offered a citizen-science platform where volunteers transcribed handwritten ships' logbooks into digital, usable weather and climate data. This transcribed information served as a resource for climate scientists and historians studying long-term weather patterns and maritime history.
Sources: Old Weather official site
Old Weather is known for pioneering a citizen-science model that transformed handwritten ships' logbooks into usable historical climate records. It is recognized for combining public volunteer participation with scientific research to recover weather data spanning over a century of maritime history, while also uncovering human and historical narratives embedded in the original logbooks.
Sources: Old Weather official site
Old Weather's data and legacy are used by climate scientists, historians, and researchers interested in long-term weather patterns and maritime history. The project also engaged citizen science enthusiasts who volunteered to transcribe the ships' logbooks, contributing directly to the creation of the historical climate dataset.
Sources: Old Weather official site
Old Weather scores 26/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Old Weather has a weak AI-visibility profile at 26/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (37/100) and its weakest is visibility (15/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,422,878 (Tranco) and a Moz Domain Authority of 60/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Old Weather from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Old Weather: Old St. Patrick's Church (67/100), International Order of the Golden Rule (OGR) (67/100), OnionShare (67/100), Opel-Zoo (67/100).
A step up - brands to learn from: Zentralwohlfahrtsstelle der Juden in Deutschland e.V. (71/100), Zoryan Institute (71/100).
Category leader: Change.org (97/100).
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