See whether customers can find your business on Google and in ChatGPT.

Enter your website — in a minute we show how visible it is in search engines and AI assistants. Free, no sign-up.

What is AlfaUMi?

AlfaUMi is a visibility analysis tool that helps businesses check and improve how their sites show up in both classic search and AI-driven discovery. It combines SEO, Generative Engine Optimization, performance, and AI bot readiness into one simple analysis.

Instead of stopping at rankings, AlfaUMi focuses on AI discoverability: whether your content is crawlable, understandable, and safe for systems like ChatGPT Search, Claude Search, Perplexity, and Google AI to cite correctly.

We call this approach XEOps™ — eXtended Engine Optimization Operations: treating classic SEO, GEO, performance, and AI bot policy as a single operational surface, measured in one place.

Ready to see how your site performs? Run a free analysis, read the GEO guide, or compare multiple domains.

What current GEO guidance actually says

Google says the same SEO fundamentals still apply to AI Overviews and AI Mode: there are no special AI-only technical requirements, but pages should stay crawlable, indexable, easy to navigate, and rich in useful text.

The newer change is operational: platforms like OpenAI, Anthropic, and Perplexity document separate bots for search visibility, user-triggered fetches, and model training, and since August 2026 Google lets any site opt out of AI Overviews and AI Mode in Search Console without leaving Search. Modern GEO is as much about content clarity and structured data as it is about an intentional crawl policy.

Updated for the current public guidance on . See the full Generative Engine Optimization guide.

How It Works

AlfaUMi analyzes your website in four steps.

  1. 01Fetch and parse

    We fetch the page, read the HTML, and extract metadata, headings, images, internal links, and structured data.

  2. 02Audit the technical basics

    We check crawlability, title and description quality, heading structure, image alt text, social cards, and performance signals.

  3. 03Score AI visibility

    We evaluate answer-first structure, entity clarity, bot accessibility, schema coverage, and whether the page is easy for AI systems to quote accurately.

  4. 04Read the scorecard

    You get a score for every surface and the count of what each one found. The findings themselves — what exactly to change — we send by email when you ask.

example.com
72/ 100
SEO81
GEO64
Content70
Images55
4512

Key Features

Four analysis surfaces, one scorecard.

SEO Analysis

Title, meta, headings, HTTPS, canonical, mobile viewport, alt text, links and schema validation.

<title>      ✓ 52 chars
<meta robots> ✗ noindex
<link rel=canonical> ⚠ missing

GEO Analysis

AI citability scoring, answer-first structure, entity and author signals, plus AI search and training bot policy checks.

AI citability71/100

Performance

Load time estimation, image optimization, HTML size analysis and external resource counting.

Speed score90/100

Social Media

Open Graph and Twitter Card validation — which cards are complete, and which tags the page actually carries.

og:title       ✓
og:image       ✓ 1200×630
twitter:card   ⚠ add summary_large_image

Current GEO baseline

Keep important pages indexable

Pages that should appear in AI search need to stay crawlable, indexable, and eligible to show snippets.

Put key answers in HTML text

AI systems need the core answer, definitions, and proof points in readable page text instead of only inside apps, tabs, or images.

Match schema to visible content

Structured data should describe what readers can actually see on the page, not wishful data or unrelated entities.

Publish clear entity signals

Make the author, organization, product, publish date, and update date easy to identify for both users and crawlers.

Keep important pages fresh

AI answers favor recent content, and citations for time-sensitive topics decay within weeks. Revisit key pages on a cycle and show a real, recent update date.

Choose an explicit AI bot policy

Search bots, user-triggered fetchers, and training bots are separate controls, and Cloudflare now blocks AI training and agent traffic by default on ad-supported pages of new domains. Decide what you allow in robots.txt and at the CDN instead of leaving it ambiguous.

Strengthen internal links and canonicals

Important pages should be easy to discover through navigation, internal links, canonical URLs, and a complete sitemap.

Need someone to do the work for you?

AlfaUMi shows you how visible your service is. If you want a team that makes it visible end to end (SEO, GEO, performance, and AI discoverability), we recommend Xfaang Visibility, a company that will do it for you.

Visit visibility.xfaang.com

Frequently Asked Questions

Is AlfaUMi free to use?

Yes. Every score, chart and count is free, up to a daily analysis limit shared by all visitors. There are no paid plans.

What is Generative Engine Optimization (GEO)?

GEO is the practice of making your content easy for AI search systems and assistants to find, understand, quote, and cite accurately.

What matters most for GEO right now?

Indexable pages, an answer in the first 150 words, concrete cited facts, recent update dates, visible structured data that matches the page, clear authorship signals, and a deliberate AI bot policy matter more than gimmicks.

Do I need llms.txt to appear in Google AI features?

No. Google says you do not need special machine-readable files, markup, or Markdown to appear in Search, and its AI optimization guide adds that Google Search ignores llms.txt. It can still help other agents and developer tools that read it.

Do I need to allow AI training bots?

Not always. Search bots and training bots are often separate controls, so many sites allow discovery bots like OAI-SearchBot or Claude-SearchBot while blocking training bots like GPTBot or ClaudeBot.

Can I export the results?

Yes, as JSON or Markdown. The export carries the scores, counts and page facts — the findings behind them are not part of the free result.

Who built AlfaUMi?

AlfaUMi was created by Piotr Zientara, a software engineer focused on developer tools, technical SEO, and AI integration.

Standards & Sources

AlfaUMi's checks are grounded in the official guidance from the platforms that power modern search and AI discovery.

Piotr Zientara

Built in public

Piotr Zientara

Software engineer building developer tools at the intersection of technical SEO and AI. AlfaUMi is built in public — an indie project shipping XEOps™ workflows.

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