A new era for AI Search (Google I/O 2026)
Google's I/O 2026 announcements on combining its search engine with AI, including agent features.
Why I recommend it: Company announcement. Features roll out gradually and not everywhere.
10 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Google's I/O 2026 announcements on combining its search engine with AI, including agent features.
Why I recommend it: Company announcement. Features roll out gradually and not everywhere.
Code and search records for a 2026 Strategic Entrepreneurship Journal paper that uses an AI model to evolve real startup concepts.
Why I recommend it: Free, open research code. Needs Python setup; it's for studying the paper, not a ready-made tool.
A clear, patient walkthrough of how full-text search actually works inside a database: inverted indexes, term dictionaries, postings lists, tokenizers, BM25 scoring, and how Postgres does each part. Written by Patrick Reynolds and Eric Ridge and published 22 September 2026. Free to read, no sign-up.
Why I recommend it: The best free explanation I have found of what a search engine is doing under the bonnet — useful even if you never touch a database, because it shows why a search box returns what it returns. It is published by PlanetScale, who sell hosted Postgres, so the closing pitch is theirs; the explanation itself stands on its own.
Free search across academic papers, theses and citations, with links to full text where it is public.
From the site: Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.
Why I recommend it: The fastest way to check whether a claim in a news article traces back to an actual paper. Set an alert on a topic and it will email you new work.
An open-source, self-hosted search engine that queries other engines without tracking you or building a profile. AGPL licensed.
From the site: SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled. - searxng/searxng
Why I recommend it: Useful if you research employers a lot and would rather not have that history tied to an account.
Free research reports on how people now search through AI answer engines instead of traditional search, with data by industry.
From the site: Explore Profound research on AI search, answer engines, and how people discover brands and information.
Why I recommend it: Relevant if you market anything online — how AI answer engines pick sources is changing how people find businesses.
A free, regularly updated leaderboard benchmarking how well leading AI models actually search the web, with the methodology and benchmarks published alongside.
Why I recommend it: Check this before assuming your favorite chatbot is the best one for research. The rankings move month to month.
Etsy Seller Handbook article explaining where AI sits in search, listing help, and shop tools, and what it means for how buyers find handmade goods.
Why I recommend it: Read this as a search-visibility document. How the platform interprets your listings decides whether anyone sees them.
Search engine for free and low-cost online courses and certificates across every major platform.
Why I recommend it: Use this to price-check any class before you buy. Search the skill you saw repeated in job postings and start with the free option.
Report that demand for AI-free search results is rising as AI summaries expand.
Why I recommend it: Evidence that "AI everywhere" is a product decision, not an inevitability. Users push back.