Ranklit: measure and grow your visibility in the AI era

What is Ranklit?

More than half of online questions are now answered directly by AI assistants and answer engines instead of a list of blue links. Ranklit is a SaaS platform that measures and optimizes how visible your website is across both worlds:

• GEOGenerative Engine Optimization — your presence inside answers from ChatGPT, Claude, Gemini and Perplexity.
• AEOAnswer Engine Optimization — featured snippets, AI Overviews and “People Also Ask”.
• SEOClassic technical search optimization — audits, Core Web Vitals, schema, keywords.

Instead of guessing, Ranklit gives you a measurable GEO Score, an AI Citation Tracker, a full technical SEO audit, and an AI-powered Advisor that turns findings into prioritized, copy-paste actions.

Why Ranklit?

Traditional SEO tools (Semrush, Ahrefs, Sistrix) only measure Google rankings. They are completely blind to whether ChatGPT recommends you, whether Perplexity cites your page, or whether Gemini even knows your brand exists. When buyers ask an AI assistant for recommendations and your competitors are named while you are not, you lose customers — invisibly.

Ranklit closes that gap:

• See the unseen. Know exactly how often and how positively the major AI models mention and cite you.
• One platform, three disciplines. GEO, AEO and SEO together instead of stitching tools.
• Actionable, not just analytical. The Advisor prioritizes fixes by impact with concrete instructions.
• Built for the EU. GDPR-compliant, hosted in Germany, data encrypted.
• Free under Fair Use. Full feature set with a monthly credit allowance — no subscription.

How it works

Ranklit runs a continuous measure → analyze → advise loop for every domain you add:

Methodology in detail

This section explains how Ranklit actually produces its numbers — what it sends, what it reads, and how raw signals become a score you can act on. The goal is full transparency: you should always understand where a value comes from before you act on it.

1 · Prompt generation & the query layer (GEO)

For every domain you add, Ranklit builds a brand profile (your name, category, products, competitors and the regions you serve) by crawling your homepage and key pages. From that profile it derives a prompt set — the realistic questions a buyer would ask an AI assistant, such as “What are the best tools for X?” or “Which provider should I choose for Y in Germany?”. You can edit this set, remove prompts, or add the exact wording your customers use.

Each prompt is then sent as a real API request to the four models — ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google) and Perplexity. Ranklit does not screen-scrape chat UIs; it uses the official model APIs, which is why a full live GEO scan requires your own API keys. Because model answers are non-deterministic, each prompt is sampled and tracked over time so that a single lucky or unlucky answer does not distort the trend.

2 · Response analysis

For every answer that comes back, Ranklit extracts three things:

• Mention. Were you named at all? Entity matching handles brand variants, domains and product names so a mention counts even if it isn’t worded exactly like your title.
• Sentiment. Is the mention positive, neutral or negative? A recommendation is worth far more than a passing or critical reference.
• Position & citation. Where in the answer do you appear — first pick, a list, or an aside? And did the model cite your URL as a source (especially relevant for Perplexity and AI Overviews)?

The same pass also records who else was mentioned — your competitors — so you get a Share-of-Voice view of who AI recommends in your category.

3 · Technical crawl (SEO & AEO)

In parallel, Ranklit crawls your publicly accessible pages to gather on-page and technical signals: Core Web Vitals (LCP, INP, CLS), Schema.org structured data, heading and content structure, internal links, broken links, mobile-friendliness, security headers and a GDPR/cookie check. For AEO it evaluates how “answer-ready” your content is — concise definitions, FAQ blocks, lists and tables that AI and answer engines can lift directly.

It also checks AI crawlability: whether GPTBot, ClaudeBot, PerplexityBot and Google-Extended are allowed in your robots.txt, and whether a valid llms.txt exists. If something blocks the AI crawlers, your content can’t be learned in the first place — so this is checked before anything else.

4 · Scoring & trends

The signals are combined into the scores described in the next section and stored as a time series. Ranklit always treats them as trends, not absolutes: the value to watch is the direction over weeks, because that is what reflects real changes in how AI and search perceive you.

5 · The Advisor (advise)

Finally, the Ranklit Advisor turns every gap into a prioritized to-do. Each recommendation gets an impact score (how much it can move your visibility) weighed against effort, and is categorized (GEO, SEO, Technical, Schema, Content). Where possible it ships a copy-paste fix — a schema block, an llms.txt file, an FAQ section — so the loop closes from measurement straight to action.

The scores explained

Ranklit reports several scores. Here is exactly what each one means and how it is weighted.

GEO Score (0–100)

Your overall visibility inside AI answers, aggregated across all four models. It is composed of:

You also get a per-model breakdown (e.g. strong in ChatGPT, weak in Gemini) so you know where to focus, plus the competitor Share-of-Voice for the same prompts.

AEO Score

How well your content is positioned to win direct answers — featured snippets, AI Overviews and “People Also Ask”. It rewards clear definitions, structured FAQ content, lists/tables and valid FAQPage / HowTo schema.

SEO Score

The classic technical foundation: Core Web Vitals, schema validity, crawlability, mobile-friendliness, broken links and security. A weak SEO base caps your GEO and AEO potential, so it stays part of the picture.

AI Readability Score (ARS)

A page-level measure of how easily an AI system can parse, understand and reuse your content. The machine-readability audit runs ~25 checks (semantic HTML, structured data, content clarity, answerable chunks, metadata) and returns a score per page plus concrete fixes. This is the most direct lever you control for GEO.

What Ranklit can do

The platform bundles capabilities across the full AI-visibility and SEO workflow:

What Ranklit cannot do

We are deliberately honest about the limits so you know what to expect:

Getting started

1. 1

   Create your free account

   Sign up in under a minute — no credit card required.

2. 2

   Add a domain

   Enter your website. Ranklit sets up tracking and a brand profile.

3. 3

   Tune your prompts (optional)

   Use the generated prompt set or add the exact questions your customers ask AI assistants.

4. 4

   Run your first scans

   Trigger a multi-model GEO scan and an SEO audit to get your baseline scores.

5. 5

   Review the Advisor

   Work through prioritized quick wins, then use the Content Suite to produce what you need.

6. 6

   Track & repeat

   Re-scan on a schedule and watch your GEO/AEO/SEO trends improve.

Pricing & credits (Fair Use)

Ranklit is completely free. There is one access level with the full feature set — no tiers, no trial, no subscription. The only limit is a monthly credit allowance that keeps the platform fast and fair for everyone.

• 1,000 credits per month, included for every account.
• Each query deducts credits based on how much work it takes.
• When credits run out, you wait until the 1st of the next month — the allowance resets automatically.

Example: 1,000 credits ≈ 25 GEO scans, or ~66 AI articles, or ~50 reports, or ~200 content briefs per month. Need a higher allowance for your team? Contact sales@ranklit.io.

Data & security

• GDPR-compliant and hosted on servers in Germany (Hetzner). Your data stays in the EU.
• SSL encryption and security headers by default; API keys are stored encrypted.
• Your data is yours: export it any time and delete your account on request (GDPR Art. 17 & 20).

Who it’s for

FAQ