// AI visibility
AI Visibility.
Getting AI assistants to name your brand.
Alongside Google, your customers increasingly ask ChatGPT, Claude, Gemini and Perplexity for recommendations. We measure how often your brand is named in those answers and use Generative Engine Optimization (GEO) to get it recommended. The work runs on our own tracking platform Kraaw.
// The Problem
Search is shifting.
Your customers also ask AI assistants.
weekly ChatGPT users (OpenAI, 2025)
of LLM citations come from Google's top 10 (Originality.ai)
higher conversion rate for visitors from LLMs than from organic Google traffic (Ahrefs, 2025)
AI assistants your customers already use for research, from ChatGPT to DeepSeek
SEO: the foundation
GEO: the addition
// Definition
What is GEO?
Generative Engine Optimization.
GEO stands for Generative Engine Optimization: the optimization of your brand and your content for AI assistants like ChatGPT, Claude, Perplexity and Gemini. The term is deliberately modeled on SEO. Where Search Engine Optimization aimed to appear as high as possible among Google's blue links, GEO aims to be mentioned, cited and recommended as often as possible in the answers of generative language models.
The mechanics behind it are different. Classic SEO is click-based: you rank for a keyword, the user clicks your link, the traffic lands on your page. GEO is visibility-based: the user asks ChatGPT, gets a pre-filtered answer and decides, based on that answer, whether your name is even in consideration. A mention near the top of an AI answer therefore carries a lot of weight, because it does the shortlisting for the user.
SEO remains the foundation. An analysis by Originality.ai shows that around 52 percent of all LLM citations come from the top 10 of Google's search results. Anyone not visible on Google is at a clear disadvantage in ChatGPT too, especially with RAG systems like Perplexity, Gemini and ChatGPT Search that use live search results as their basis. Our rule of thumb: first a clean SEO foundation, then GEO on top of it.
Like SEO, GEO consists of two areas. On-page GEO covers everything you do on your own website: high information density with original data, factual accuracy with linked sources, clear structure with H2/H3 hierarchies, TL;DR boxes at the start of every article, FAQ sections at the end, clean schema markup (Article, FAQPage, HowTo, Organization). Off-page GEO covers everything outside your domain: brand mentions in trade media, author reputation, Wikipedia entries, reviews, podcast appearances and thematic cluster mentions. Unlike classic SEO, mentions without a link count as a reputation signal here, because language models learn from the text a brand appears in. A link is not required for that.
In a 2025 study, Ahrefs showed that visitors who reach websites from LLMs have a four- to nine-times higher conversion rate than organic Google traffic. The reason: the AI has already pre-qualified these visitors. A recommendation in ChatGPT also works without a click, because users remember the brand name and search for it directly later. In B2B purchasing in particular, part of the shortlisting now happens inside the AI answer.
For us, GEO builds on SEO. Our engagements combine both: classic ranking tracking plus LLM visibility monitoring via Kraaw and Brand Radar. The full definition, the seven ranking factors and the 5-step audit are in our glossary entry GEO: Generative Engine Optimization.
// What we measure
Visibility is measurable.
These are the 6 metrics we track.
Our tracking platform Kraaw takes daily snapshots. We analyze the questions your audience asks in ChatGPT and other assistants and turn them into metrics.
Visibility Score
Main indicator: Mention Rate × Position Weight × Platform Weight. A single score that sums up your overall visibility across all LLMs.
Mention Rate
Share of all relevant queries in which your brand is mentioned. The basic metric: is your brand named at all?
Position Weight
Where in the LLM answer is your brand named? Position 1 counts 1.0, position 5 only 0.5. An early mention weighs more than a late one.
Sentiment
How does the LLM talk about your brand: positive, neutral or negative? The context analysis shows whether it is praise, a comparison, a recommendation or a warning.
Share of Voice
Your share of all mentions in your market, compared with direct competitors. Who shapes the answers in your category?
Citation Rate
How often do Perplexity, ChatGPT Search and others link directly to your domain as a source? These links bring measurable traffic.
// Score interpretation
Very good: maintain
Good: sharpen selectively
Medium: GEO needed
Weak: act now
Invisible: new strategy
// Services
From measurement
to recommendation.
Visibility Tracking (Kraaw)
Daily snapshots of your brand in ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and DeepSeek. We track 50-500 queries per market and show all 6 metrics in one dashboard, run on Kraaw.
Visibility Audit
We analyze where your brand is named, who shapes your category and which sources LLMs recommend today. The result is an action roadmap prioritized by impact.
GEO Content Optimization
Citation hooks, FAQ schemas, entity markup, how-to structures and definition pages. We write content so that language models use it as a source.
Authority Building
Wikipedia entry, guest posts on respected platforms, PR and trade publications. Language models favor domain authority and brand mentions in training and RAG.
llms.txt & Crawl Setup
The technical groundwork: llms.txt, robots.txt for AI crawlers, structured data, Schema.org and Open Graph, so that GPTBot, ClaudeBot, PerplexityBot and other crawlers can find your content and classify it correctly.
Reporting & Alerts
Monthly reporting with score trend, competitive comparison, new mentions and sentiment changes. You get an alert on sudden changes before your customers notice.
// Ranking factors
What LLMs
really weight.
5 factors decide whether your brand shows up in a ChatGPT answer. This is based on our 6-month analysis of more than 50,000 LLM answers, whose results went into Kraaw.
Authority
Wikipedia entry, domain authority, mentions in respected sources (universities, government agencies, trade associations, major media). LLMs prefer brands that are independently confirmed multiple times.
Citability
Clear statements, precise definitions and concrete numbers. A sentence like "Packages from €49/month with 1,000 queries" gets cited more often than "We offer flexible packages". LLMs cite sentences that can be lifted out cleanly.
Structure
FAQ schema, how-to schema, comparison tables, clear H1→H2→H3 hierarchy. Structured data makes content directly extractable for language models.
Freshness
"Last updated: April 2026", versioned pricing, regular content refreshes. LLMs weight fresh content more heavily, especially Perplexity and Google AI Overviews.
Fact density
Concrete numbers with sources and comparison figures, without filler. Every sentence contains a piece of information. Language models prefer to pick up text written this way.
// Process
How we make your brand
visible in LLMs.
Tracking setup in Kraaw
We define 50-500 queries your audience actually asks, set the competitor group and store personas. Kraaw then takes daily snapshots across all relevant LLMs.
Visibility Audit (baseline)
Where does your brand stand today, which competitors are named more often and which sources do LLMs currently recommend? You receive a complete inventory with competitive comparison and priority matrix.
GEO roadmap and first measures
The action plan sets out which content we create and which we revise for GEO, plus llms.txt, schema markup and citation hooks. We implement 4-6 quick wins in the first 30 days.
Building content and reputation
We create citation-ready content on your domain and take care of Wikipedia, guest posts and press mentions. This builds the sources LLMs draw on when they recommend.
Monitoring and ongoing optimization
Daily tracking and monthly reporting with score trend, new mentions and sentiment changes. Models and search behavior keep changing, so we adjust the measures on an ongoing basis.
// What sets us apart
Our own tracking platform
from the DACH region.
Many agencies license tools like Profound, Peec or getcito. We run Kraaw, our own LLM visibility platform developed in the DACH region. Kraaw runs on German servers and is GDPR-compliant.
VISIBILITY SCORE: DEMO
brand.example
Good: targeted optimization recommended
MENTION RATE
72%
AVG. POSITION
2.4
SHARE OF VOICE
31%
SENTIMENT
+0.62
// The tool behind our work
Inside the Kraaw dashboard.
All 6 metrics in one view, updated daily across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and DeepSeek. This is the dashboard we use to manage our clients' LLM visibility.
Kraaw product view · kraaw.com →
// Packages
Three paths
into the LLM recommendation.
STEP 1
Visibility Audit
Where does your brand stand today in ChatGPT, Claude, Gemini and other assistants? A complete assessment with an action roadmap.
STEP 2: RECOMMENDED
GEO Sprint
Audit and implementation in one sprint. We expect first measurable mention-rate improvements after 8-12 weeks.
STEP 3
Continuous Visibility
We keep tracking, maintain your content and continue building your reputation. For brands that want LLM visibility managed long term.
The tracking tool only, without support: Kraaw from €49/month →
// FAQ
Frequently asked questions
about AI visibility.
What is AI visibility?
AI visibility (also called LLM visibility or AI search visibility) measures how often and how prominently your brand is mentioned in the answers of large language models like ChatGPT, Claude, Gemini and Perplexity. It complements classic Google rankings and matters more as more people research through AI assistants.
What is GEO (Generative Engine Optimization)?
GEO is the optimization of content so that LLMs preferentially cite and recommend it in their answers. While SEO optimizes for Google rankings, GEO optimizes for being mentioned in AI answers: with structured data, FAQ schemas, entity optimization and citation-ready passages.
How is AI visibility measured?
We measure Visibility Score (0-100), Mention Rate (share of queries with a mention), Position Weight (how early in the answer), Sentiment (positive/neutral/negative), Share of Voice versus competitors and Citation Rate (linked sources). Daily snapshots in Kraaw make changes visible from one day to the next.
Which LLMs are tracked?
ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity, Google AI Overviews and DeepSeek. We use our own tracking platform Kraaw, developed in the DACH region. It is GDPR-compliant and runs on German servers.
What does AI visibility cost as a service?
Visibility Audit (one-off) from €2,900. GEO Sprint (8 weeks of optimization incl. tracking) from €12,500. Continuous Visibility (tracking, content and reporting) from €3,500/month. The Kraaw tracking tool on its own, without support: from €49/month.
How quickly do I see results in LLM answers?
First mention-rate improvements are measurable after 4-8 weeks (web-crawl updates in Perplexity and ChatGPT Search). Substantial visibility gains take 3-6 months, because LLMs adopt content updates into their training and RAG indexes with a delay. We track daily so that every change becomes visible.
Does GEO replace classic SEO?
No, GEO complements SEO. Google AI Overviews still use SEO signals (E-E-A-T, backlinks, technical performance). Classic SEO and GEO work best when they are planned together. We handle both from one team.
What is the difference from Profound, Peec or getcito?
Profound, Peec, Scrunch and getcito are software tools only. With us you get the tool and the implementation from one source: our own GDPR-compliant platform Kraaw plus strategy, content production and reputation building. As an agency we carry out the measures ourselves and report on them.
// Related services
// Secure your visibility
Where does your brand stand
in ChatGPT?
In a free 30-minute intro call, we show you live how your brand is named today in ChatGPT, Claude, Gemini and Perplexity and where the biggest levers are.
Request Visibility Audit