Meet the minds behind quant investing
Flirting with Models (flirtingwithmodels.com) scores 57 out of 100 on Brand Analyzer, placing it in the Developing tier among Finance brands, Media & Entertainment brands, in the 5th percentile of 15807 Finance brands.
Flirting with Models is a podcast focused on quantitative investing, featuring in-depth conversations with investors who research, design, develop, and manage systematic investment strategies. The show aims to give listeners insight into the people and processes behind quantitative finance, a space often seen as opaque. It targets investment professionals, quantitative analysts, financial advisors, and finance enthusiasts seeking a deeper understanding of systematic and model-driven investment approaches.
| Brand Name | Flirting with Models |
|---|---|
| Domain | flirtingwithmodels.com |
| Industry | Finance, Media & Entertainment |
| Main Competitors | Top Traders Unplugged (77/100), Chat With Traders (67/100), Invest Like the Best (77/100), Masters in Business (92/100), The Meb Faber Show (76/100) |
Moz Domain Authority 21/100 vs category average 39 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
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 "Flirting with Models is the show that aims to pull back the curtain and meet the investors who research, design, develop, and manage quantitative investment strategies." (Meta description: 26 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on X (Twitter), YouTube, Facebook, Instagram; no detected presence on LinkedIn, GitHub - 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 Flirting with Models?", Claude could identify the brand as of October 2026. Flirting with Models is a blog written by Corey Hoffstein, CIO of Newfound Research, focused on quantitative and systematic investment strategies, trend-following, and portfolio construction research. Best known for In-depth quantitative finance writing on systematic investing and trend-following strategies, authored by Corey Hoffstein.
When asked "Best brands similar to Flirting with Models?", Claude would recommend Flirting with Models as of October 2026. It's a well-regarded, intellectually rigorous resource in the quant finance community, so I'd mention it to anyone looking for serious systematic investing content.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Flirting with Models's main competitors in Finance: Top Traders Unplugged (77/100), Chat With Traders (67/100), Invest Like the Best (77/100), Masters in Business (92/100), The Meb Faber Show (76/100).
Sources: Brand Analyzer scan
Flirting with Models offers a podcast series featuring interviews and discussions with quantitative investors about systematic investment strategies, research methods, and portfolio management approaches.
Sources: Flirting with Models official site
Flirting with Models is a podcast that focuses on quantitative investing, featuring interviews with investors who research, design, develop, and manage systematic investment strategies.
Sources: Flirting with Models official site
Flirting with Models has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 32, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Flirting with Models official site
Flirting with Models scores 42/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Finance options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Flirting with Models official site
The podcast's audience includes investment professionals, quantitative analysts, financial advisors, and finance enthusiasts interested in quantitative and systematic investing strategies.
Sources: Flirting with Models official site
Flirting with Models 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: Flirting with Models official site
Flirting with Models is known for its detailed, insider-focused discussions with professionals in quantitative and systematic investing, offering perspectives not commonly found in mainstream financial media.
Sources: Flirting with Models official site
Flirting with Models scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Flirting with Models has a weak AI-visibility profile at 20/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (42/100) and its weakest is visibility (0/100). It benefits from open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and a low Moz Domain Authority of 21/100. In a live check, Claude could already identify Flirting with Models 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 Flirting with Models: First American Payment Systems (57/100), AdvisorStream (Broadridge Advisor Solutions) (57/100), Folklore (57/100), Getnet (57/100).
A step up - brands to learn from: ZT Corporate (71/100), ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung (71/100).
Category leader: Stripe (97/100).
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