What is Causabi and what does the name mean?

Causabi is a GEO (Generative Engine Optimization) platform that helps businesses appear in ChatGPT, Gemini, Grok and Claude answers. The name comes from the Latin word causa — meaning reason, cause. The idea: Causabi gives your business the reason AI search engines mention and recommend you.

What is GEO optimization and how does it differ from SEO?

GEO (Generative Engine Optimization) is the practice of optimizing your website for AI search engines: ChatGPT, Gemini, Grok, Claude. Unlike traditional SEO (Google rankings), GEO affects whether AI cites your business in its answers. 73% of AI search queries end without a click — AI gives the answer directly from your content.

How does Causabi improve ChatGPT visibility?

Causabi generates FAQ Schema (gives +41% citation rate increase according to AI search research), fixes robots.txt so GPTBot and ClaudeBot can crawl your site, creates an AI profile file for direct LLM communication, and adds Schema.org markup for entity recognition in AI.

What is an AI profile file and why do I need it?

An AI profile file (llms.txt) is a machine-readable description of your business, services and FAQ placed at the site root. It is read by ChatGPT Browse, Claude Tools and other AI agents as the first source of information about your business. As of 2026, adopted by 12,000+ sites including Anthropic, Cloudflare, Vercel.

How much does Causabi cost?

The Free plan is free forever: 1 site, AI Visibility Score, AI profile, schema markup and bot access. Growth ($19/month): up to 5 sites, 10 monitored queries, weekly monitoring of ChatGPT, Gemini, Grok and Claude. Pro ($49/month): unlimited sites, 30 queries, daily monitoring, full analytics. Agency ($99/month): everything in Pro plus white-label reports and multi-client dashboard.

How fast does the site analysis work?

Full AI audit takes 30–90 seconds. The tool scans up to 8 key pages, checks robots.txt, Schema.org markup, FAQ blocks, content depth and brand signals. Result: Score 0–100 with detailed breakdown and specific fix recommendations.

Does Causabi work with Shopify?

Yes. Enter your Shopify store URL to get a full AI audit and all optimization files (llms.txt, schema.jsonld, robots.txt patch). Upload files via Settings › Files or Themes › Edit code. The hosted AI profile on causabi.com works instantly without touching your store.

Does Causabi work with WordPress?

Yes. There is a Causabi WordPress plugin that installs like any plugin and automatically creates llms.txt, schema markup, and opens access for AI bots. No manual file editing needed.

Do you need access to my CMS or server?

No. Just the URL. You download a ZIP of generated files and upload them yourself — or use the hosted AI profile on causabi.com which AI bots already index.

What exactly does Causabi add to my site?

Four files: llms.txt (your business description for AI), robots.txt patch (allows GPTBot, Gemini-Bot, Claude-Bot), schema.jsonld (structured data for search engines), FAQ block (ChatGPT quotes answers directly). Everything in a ZIP — upload it yourself or hand it to your developer. The hosted profile on causabi.com works with no changes to your site.

Can I see competitors in AI answers?

Yes. For every monitored query you see: is your business mentioned, what position, and which competitors appear nearby. This lets you understand who to learn from and where you are already winning.

How long until my business appears in ChatGPT after optimization?

Hosted profile on causabi.com is indexed by AI bots in 1–7 days. Files on your own site take 2–4 weeks depending on ChatGPT and Gemini crawl frequency.

How does AI citation monitoring work?

Once a week (or daily on Pro) we send each of your target queries directly to ChatGPT, Gemini, Grok and Claude via official APIs — not browser simulation. We check: is your business mentioned, what position, who are the competitors nearby. All in a dashboard with 3–6 month trend history.

Is Causabi open source?

Yes, the core (causabi-geo CLI) is on PyPI under MIT license. pip install causabi-geo — run analysis and generate files locally without signing up.

What is Chrome WebMCP?

WebMCP is a proposed web standard being developed by Chrome that allows websites to explicitly declare their capabilities to AI agents. Instead of AI trying to interpret your interface visually, your site tells AI exactly what it can do — through JSON Schema definitions of tools and actions.

How is WebMCP different from Schema.org and llms.txt?

They serve different purposes: Schema.org tells AI who you are (your business type, location, contact info). llms.txt tells AI what to read about you (key pages and summaries). WebMCP tells AI what it can do with your site (book, search, fill forms). Together they form three layers of AI discoverability.

When will Chrome WebMCP be available?

WebMCP is available now for testing via Chrome flags (chrome://flags/#enable-webmcp-testing) in developer builds. The Origin Trial — when real websites can participate — is planned for Chrome 149. Full availability depends on the standard being finalized.

Should I implement WebMCP on my website right now?

Not yet. WebMCP is still in early development and subject to significant changes before Chrome 149. Focus now on Schema.org and FAQPage schema — these are stable, proven, and currently affect how ChatGPT, Gemini, Grok, and Claude cite your business. WebMCP is worth watching, not implementing yet.

May 21, 2026 · AI Search

Chrome WebMCP: The Next Layer of AI Visibility After Schema.org

While everyone was reacting to Google I/O, Chrome quietly published a new specification that could define the next phase of AI-native web. Here's what WebMCP is, how it fits into AI visibility, and what to actually do about it.

Three layers of AI visibility

AI-native web visibility is becoming layered. Each layer tells AI something different about your site:

Schema.org — Tells AI who you are — your business type, location, contact info, products. The foundation. If you have nothing else, start here.

llms.txt — Tells AI what to read about you — which pages matter, in what order. A structured summary at yoursite.com/llms.txt.

WebMCP — Tells AI what it can do with your site — book, search, fill forms, trigger actions. The new layer Chrome is introducing.

What WebMCP actually is

Today, AI agents that interact with websites do so by interpreting the visual interface — reading text, identifying buttons, guessing what clicking something will do. This works, but it's fragile and slow.

WebMCP proposes a different approach: websites explicitly declare their capabilities to AI agents using JSON Schema. Instead of the agent figuring out how your booking form works, your site tells it: here's the form, here are the fields, here's what happens when it's submitted.

Two implementation paths are available: an imperative JavaScript API for complex interactions, and a declarative HTML annotation approach that automatically creates WebMCP tools from existing forms.

What sites can declare with WebMCP

— Booking and reservation forms with structured field mapping
— Product search with filterable parameters
— Support workflows with escalation paths
— Multi-step interactions that require user confirmation
— Backend functions triggered by AI agents on behalf of users

Current status: early, but moving fast

WebMCP is available now for developers behind a Chrome flag (chrome://flags/#enable-webmcp-testing). The Origin Trial — when production websites can participate — is planned for Chrome 149.

The spec is still under active discussion and subject to change. This is not a stable standard yet. But it's moving quickly, and the direction is clear.

What to do right now

The honest answer: nothing, regarding WebMCP specifically. The standard isn't finalized, Chrome 149 isn't out yet, and the implementation details will likely change.

What you should do right now is layer 1 and 2 — the foundations that already affect your visibility in ChatGPT, Gemini, Grok, and Claude today:

—Schema.org markup. The highest-weight signal in AI citation decisions. If you don't have Organization or LocalBusiness schema, start here.
—FAQPage schema. Research shows +41% citation rate for pages with proper FAQPage JSON-LD. The single highest-ROI technical change for AI visibility.
—llms.txt. Tells AI agents which pages to prioritize. Creates a structured entry point for any AI crawling your site.

When WebMCP reaches Chrome 149 and stabilizes, we'll add it as a factor in the Causabi AI visibility score. Until then, it's one to watch.

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