NLWeb, short for Natural Language Web, is an open-source project from Microsoft that lets any website add a conversational, natural-language interface to its own content. Announced at Microsoft Build in May 2025, it turns a static site into something people and AI agents can query in plain language, using the site's own data and the AI model of the owner's choice. In short, NLWeb is a way to make your website behave like an AI app.
NLWeb was conceived and developed by R.V. Guha, who joined Microsoft as a technical fellow after nearly two decades at Google. Guha is not a random name in this space. He is the person behind RSS, RDF, and Schema.org, three of the standards that quietly hold much of the modern web together. NLWeb continues that same pattern: build something new on top of standards that already exist rather than inventing everything from scratch.
The reason it exists comes down to how people now find information. More users are asking questions in plain language instead of clicking through menus and search boxes. Most websites were not built for that. They are static and form-based, which creates friction when someone just wants an answer. Microsoft CTO Kevin Scott framed NLWeb's ambition directly at Build 2025, describing it as "HTML for the agentic web." The goal is a web where every site can talk back, to humans and to AI agents alike.
NLWeb works by combining data a website already has with a large language model and a vector database, then exposing that combination through a conversational endpoint. A visitor (or an AI agent) sends a natural-language question, and the site answers using its own content instead of the model guessing from a general crawl of the internet.
It leans on standards site owners may already use:
There is one more piece that matters for the bigger picture. Every NLWeb instance also functions as a Model Context Protocol (MCP) server. MCP is the emerging standard for how AI agents connect to external tools and data. That means an NLWeb-enabled site is not just answering questions in a chat box on the page. It is making its content directly available to AI agents that operate across the web.
NLWeb is not a replacement for SEO or GEO, and it is not the same thing as either. This trips people up, so it is worth being precise.
Traditional SEO is about getting your pages to rank in search results so a human clicks through to your site. GEO, or Generative Engine Optimization, is about getting your content cited and summarized inside AI-generated answers from tools like ChatGPT, Perplexity, and Google's AI Overviews. NLWeb is a step further out: it is infrastructure you deploy on your own site so that your content can be queried conversationally and served to AI agents directly.
One point of confusion is worth clearing up. Some marketing articles use "NLWeb" loosely to mean "writing your content in natural, conversational language." That is a real practice and a good idea, but it is not what Microsoft's NLWeb is. NLWeb is a specific technical protocol with code you deploy, not a copywriting style. When you see the term, check which one is being described.
The through-line across all three is the same: clear structure, consistent information, and machine-readable data. Content that is well organized and properly marked up performs better in search rankings, gets cited more often in AI answers, and is easier to serve through NLWeb.
NLWeb is early. It launched in 2025, and it is not yet clear whether it becomes a universal standard the way Guha's earlier work did, or stays a tool used mostly by larger publishers and platforms. That uncertainty is real and worth being honest about. You do not need to deploy NLWeb tomorrow.
Here is what does matter now, and this is the part most write-ups skip. The work that makes a site NLWeb-ready is the same work that makes it strong for GEO and for traditional SEO. Accurate Schema.org markup, clean and consistent content, structured data, and feeds that actually reflect what your business offers. If that foundation is solid, you are positioned for whatever wins, whether that is AI Overviews, a competing protocol, or NLWeb itself. If that foundation is a mess, you are exposed no matter which standard takes hold.
That is the practical way to think about NLWeb. Not as a project to bolt on this quarter, but as one more reason to get your structured-data house in order, because the same investment pays off across every discovery channel at once.
Getting ready for NLWeb does not require a rebuild. It requires the same foundational work that modern search rewards:
Do these things and you are not just preparing for NLWeb. You are improving your ranking in Google, your citation rate in AI answers, and the basic experience for the humans already on your site.
What does NLWeb stand for?
NLWeb stands for Natural Language Web. It is an open-source project from Microsoft that lets websites add a conversational, natural-language interface to their own content, so users and AI agents can query the site in plain language instead of navigating menus and search boxes.
Who created NLWeb?
NLWeb was created by R.V. Guha, a technical fellow at Microsoft who previously spent nearly twenty years at Google. Guha is also the creator of RSS, RDF, and Schema.org, foundational web standards. Microsoft announced NLWeb at its Build developer conference in May 2025.
Is NLWeb the same as SEO or GEO?
No. SEO helps your pages rank in search results, and GEO helps your content get cited inside AI-generated answers. NLWeb is separate infrastructure you deploy on your own site so its content can be queried conversationally and served to AI agents directly. All three reward the same structured, machine-readable foundation.
Do I need to deploy NLWeb right now?
Not necessarily. NLWeb launched in 2025 and is still early, so it is not yet a universal requirement. What matters now is the underlying work: accurate schema, clean content, and consistent business data. That foundation prepares you for NLWeb and improves your SEO and GEO at the same time.
Does NLWeb use my own AI model and data?
Yes. NLWeb is designed so site owners use their own content and the AI model of their choice, rather than relying on an external system crawling and guessing at their meaning. Every NLWeb instance also works as a Model Context Protocol server, making the site's content available to AI agents.
NLWeb is a good example of why search is hard to keep up with. A year ago it did not exist. Now it is one more channel to understand alongside SEO, GEO, AI Overviews, and MCP. The standards shift, the rankings shift, and the tactics that worked last quarter get rewritten the next.
Staying on top of that is a full-time job, which is the point of hiring people who do it full-time. At Belorado GEO we track these changes so you do not have to rebuild your strategy every time the ground moves. We keep your site strong across every way people find you, today and whatever comes next.
