Fashion discovery is moving from search engines to answer engines. When shoppers ask ChatGPT, Gemini, Claude or Perplexity for the best minimalist label or the most sustainable brand, the names that surface are not the biggest ad spenders but the brands with the most public, structured knowledge for AI to cite. This YesPress Newsroom analysis lays out what large language models look for, why many direct-to-consumer fashion brands underperform despite strong paid-social businesses, and how an always-on newsroom turns internal expertise into compounding, citable assets.
Botify is an enterprise platform that helps large brands stay discoverable across search engines and AI assistants. Founded in Paris in 2012 and now headquartered in New York, it combines large-scale website crawling, server-log analysis, AI-driven recommendations and automation to protect and grow organic traffic. As search shifts toward AI answers and shopping agents, Botify has repositioned around 'agentic AI' visibility, serving 500+ brands including Marriott, Expedia, Farfetch, Macy's and The New York Times.
When a customer asks ChatGPT about your company, the answer is not pulled from your website in real time. It is assembled from what the model absorbed during training - Common Crawl web pages, Wikipedia, news, reviews, Reddit threads, job postings and structured databases like Crunchbase and Wikidata - frozen at a knowledge cutoff months before the model shipped. This story explains where that knowledge comes from, why it drifts stale, how gaps and old narratives creep in, and what companies can actually do to correct the record.
A plain-language field guide to how large language models decide what your company is, who it competes with, and whether to mention you at all. AI does not read a homepage the way a customer does. It assembles a mental model from six raw materials - entities, relationships, sources, repetition, consensus, and freshness - and the companies that understand those six levers are the ones that get named when someone asks an AI for a recommendation.
Two tools, two eras. Semrush helps companies win the search-engine results page through keywords, backlinks, and rank tracking. YesPress helps companies become legible to AI assistants by publishing a structured, authoritative body of company knowledge. This piece maps the shift from a web built for search engines to a web increasingly read by machines, and argues the two are complementary layers rather than competitors.
A field guide to Generative Engine Optimization (GEO): the practice of structuring your content and earned-media footprint so ChatGPT, Perplexity, and Gemini cite your startup as a source. It explains why citations equal retrieval trust, the platform-specific mechanics, a step-by-step playbook, and the single biggest mistake founders make — publishing only when they raise. It closes with YesPress as the engine that runs GEO on a continuous schedule.
AthenaHQ is a San Francisco AI-search optimization platform that helps brands see, measure, and improve how they appear inside generative engines like ChatGPT, Perplexity, Claude, and Gemini. Founded in 2025 by ex-Google Search and DeepMind PM Andrew Yan and ex-ServiceNow engineer Alan Yao, the Y Combinator-backed company treats GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) as the successor to traditional SEO, analyzing millions of AI responses to tell companies whether AI models recommend them - and what to change if they don't.
A manifesto arguing that the next era of marketing is won not by ranking higher but by being the company AI understands best. It reframes constant publishing as the act of teaching AI systems who you are: every story becomes a citable source, every citation increases trust, and every increase in trust makes AI more likely to retrieve you. The piece introduces the YesPress Newsroom as an always-on publishing engine that gives startups the same compounding institutional-knowledge advantage that Microsoft, Salesforce, OpenAI, NVIDIA and Stripe already enjoy.
For twenty years businesses fought for the click: rank #1, get the traffic, win the customer. That war is ending. Millions of buying decisions now begin inside ChatGPT and Google AI Overviews, where AI doesn't return ten blue links but a shortlist of a handful of recommendations, sometimes only one. This piece argues that the winners of the next five years won't have better SEO, they'll own the conversations AI has with their market by becoming the most credible, useful, and trustworthy source on the topics buyers care about. It offers a concrete exercise: write down the 25 questions your ideal customer asks before buying, ask the AI, and see whether you appear at all.
Orama is an open-source search company building an 'answer engine' for developers - a lightweight, high-performance stack that bundles full-text, vector, and hybrid search with automatic embedding generation and built-in LLMs. Started as the open-source project Lyra and incorporated as OramaSearch Inc. in 2023 by Issac Roth and Michele Riva, its core library ships in under 2KB and runs in the browser, on servers, or at the edge. Orama powers site search and AI answers for developer platforms including nodejs.org, tanstack.com, and solidjs.org, and its OramaCore runtime packages a search engine, vector database, and LLM interface into one deployable unit.
As AI answer engines replace the ten blue links, being cited beats being ranked. This YesPress story unpacks Answer Engine Optimization (AEO) — the practice of structuring content at the fact level so ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews quote you verbatim — and explains why YesPress builds verified, machine-legible profiles so generative engines cite confirmed facts about founders and companies instead of half-remembered ones.
BrightEdge is an enterprise SEO and content performance platform that turns the chaos of search into a measurable system of record. Founded in 2007 by Jim Yu and Lemuel Park, it built one of the largest proprietary data sets in marketing - billions of pages and keywords - and pairs it with an AI engine (DataMind) to power products like Data Cube, ContentIQ, Autopilot and AI Catalyst. Used by thousands of brands including a majority of the Fortune 100, BrightEdge has pivoted hard into measuring and optimizing for AI-driven search experiences like Google AI Overviews, ChatGPT and Perplexity.
Dropbox is the company that made 'just put it in my Dropbox' a sentence everyone understood. Founded in 2007 after Drew Houston got tired of forgetting his USB drive, it turned file sync into a verb and grew into a content-collaboration platform used by roughly 700 million registered users and about 18 million paying subscribers. Today the San Francisco company, public on the Nasdaq as DBX with about $2.5 billion in annual revenue, is betting its next chapter on Dash, an AI-powered universal search layer that hunts across every app where your work actually lives.
Jim Yu is the founder and CEO of BrightEdge, the enterprise SEO and content performance platform he started at his kitchen table in 2007 after a stint leading product at Salesforce. Two decades in, his thesis hasn't changed - he's just renamed the battlefield. Search became AI search; rankings became citations; BrightEdge stayed the scoreboard.
Exa is an applied AI lab building a search engine for AIs. Their neural search API lets developers and AI agents retrieve high-quality, factual content from the web using natural-language queries, powering RAG, research agents, and enterprise knowledge workflows.
Julie Bornstein is the founder and CEO of Daydream, an AI-powered shopping search engine that raised $50M in seed funding in 2024 and publicly launched in 2025. A serial entrepreneur and e-commerce pioneer, she grew Nordstrom.com from $10M to $350M in sales, transformed Sephora's digital business and launched Beauty Insider, scaled Stitch Fix to $1B as COO, and sold her AI fashion startup The Yes to Pinterest in 2022. With a Harvard BA and HBS MBA, Bornstein has spent 25+ years at the intersection of retail, technology, and artificial intelligence.

ZeroEntropy is the AI infrastructure company fixing the broken retrieval layer of modern AI applications. Founded in 2024 by Ghita Houir Alami (CEO) and Nicholas Pipitone (CTO), the San Francisco–based startup builds rerankers, embedding models, and end-to-end search infrastructure that outperforms Google, OpenAI, Cohere, and Voyage on public benchmarks. Backed by Y Combinator (W25) and a $4.2M seed round led by Initialized Capital, ZeroEntropy's products — zerank-2, zembed-1, zsearch, and ze-onprem — are used by enterprises including Assembled (serving Stripe, Canva, Robinhood, and Notion). The company's proprietary zELO training methodology, derived from chess Elo ratings and the Thurstone statistical model, produces models with calibrated relevance judgments that binary labels cannot replicate.