OpenAI Announces SearchGPT
OpenAI’s announcement of SearchGPT, an AI-powered web search tool, is seen as a direct challenge to both Google and Perplexity, but many are frustrated that it launches only as a waitlisted prototype amid other still-unreleased OpenAI features. Commenters debate whether AI-assisted search actually improves on traditional keyword search, given issues like hallucinations, subtle inaccuracies, and the difficulty of verifying answers, even as some say tools like Perplexity have already displaced Google for many queries. A major concern is the future of the open web: publishers fear losing traffic and ad revenue to AI summaries, anticipate a shift from SEO to pay-to-play placement and content deals, and question how high‑quality information sites will be funded if AI systems primarily extract and repackage their content.
Launch, Scope, and Product Strategy
- SearchGPT is announced with a waitlist, continuing a pattern (Sora, new voice mode) that some see as “vaporware” or over-announcing.
- Some view this as a sign OpenAI is pivoting from research to product and UI, and speculate that major model gains (e.g., GPT‑5) may be slowing, though others call this speculation unfounded.
- There is confusion over how this new product will coexist with search inside ChatGPT and with Microsoft/Bing, given OpenAI’s reliance on Azure.
Comparisons to Existing Search and AI Tools
- Many compare it directly to Perplexity: some say Perplexity already replaced Google/DDG for many tasks, others found it slow, irrelevant, or limited by usage caps.
- Several note Bing and Google already offer AI-augmented results; some doubt OpenAI can substantially beat them, others think Google is hobbled by its ad business.
- Kagi’s “quick answers,” Arc’s “Browse for me,” and traditional keyword search are cited as partial analogues.
Accuracy, Hallucinations, and UX
- Users worry about hallucinations, citing Google’s “eat rocks” incident and that SearchGPT’s own demo appears factually weak (Boone, NC festival example).
- Some are happy to trade occasional errors for fewer ads and less SEO spam; others fear subtle inaccuracies and “fractured realities.”
- Chat-style follow-ups and summarization are seen as valuable for complex or vague queries, less so for simple navigational or local lookups.
Impact on Websites, SEO, and Crawling
- Strong concern that AI answers will reduce traffic to sites, undermining ad-based or community models (forums, niche content).
- Debate over whether to allow AI crawlers: some see no upside if answers don’t send clicks; others argue summarization is simply better UX.
- SEO is widely criticized; some hope AI search kills it, others warn it will be replaced by pay-to-play placement and publisher deals.
- Technical discussion on robots.txt, crawler identification, and Perplexity’s behavior shows disagreement over what counts as a “crawler.”
Business Model and Competitive Landscape
- Questions about how AI search will be monetized: ads, subscriptions, or platform bundling (e.g., via device makers).
- Some predict trouble for Perplexity’s valuation and for Google’s core business if OpenAI’s experience is good and reasonably priced.
- Others stress that once AI search must be profitable, it may degrade just as traditional search did.