Mentions in AI answers
Selected more often as a source by ChatGPT, Perplexity and Gemini.
GEO makes your company visible to generative AI. We build your content so that ChatGPT, Perplexity, Gemini and Google AI Overviews recognize, cite and recommend you as a source – measurably, model by model, and with a clear competitive edge.
Generative Engine Optimization (GEO) makes your content citable for AI models like ChatGPT, Perplexity, Gemini and Google AI Overviews. First effects: 4–8 weeks. The most important levers: factual density, schema markup, authorship, entity consistency, topically relevant mentions.
We make your content citable – so generative AI names you as the source, not your competitors.
This is how we make your brand visible to generative AI – from entities to Share of Model.
In your inbox within 24 hours. We check how visible your brand is in ChatGPT, Perplexity, Gemini and Google AI Overviews.
When ChatGPT, Perplexity and Gemini recommend your brand: more mentions, a higher share of model and citations as a source.
Mentions in AI answers
Selected more often as a source by ChatGPT, Perplexity and Gemini.
Share of AI answers
How often your brand is named in the category – instead of competitors.
Cited in AI overviews
Referenced as the primary source in Google AI Overviews and Perplexity.
More and more buying decisions now start in ChatGPT, Perplexity, Gemini or Google AI Overviews instead of Google. Rather than comparing ten links, people ask for a direct recommendation – often built on a single source. If you're not named there, you don't even enter the decision process.
Generative Engine Optimization (GEO) is the structured answer to that shift: we prepare your content, your brand entities and your trust signals so that AI systems rank you as a reliable, citable source – and include you in their answers.
For every client we track the Share of Model – the share of AI answers to defined search intents in which the brand appears as a source, recommendation or example. The analysis runs across four models: ChatGPT (GPT-4/5), Perplexity (Sonar), Google Gemini and Anthropic Claude. The curve below shows the typical aggregated trajectory of our clients, measured over twelve months of structured GEO work. First mentions appear in weeks 4–8, significant citation share from month 3, model consistency (≥40 %) typically between months 8 and 12. This isn't a campaign effect but a structural visibility signal that tends to carry over with each new model generation – because citations from training data persist into subsequent training rounds.
Share of Model – AI citations over 12 months
Share of AI answers (ChatGPT, Perplexity, Gemini, Claude) in which the brand appears as a source
An answer to the most common question: How quickly do you see effects? – With a clean technical foundation (schema, E-E-A-T signals, clearly structured content), first brand mentions in Perplexity usually appear after 4–6 weeks. ChatGPT and Gemini take longer (8–12 weeks), because their retrieval layers lean more heavily on established authority signals. The growth shown here is not a guaranteed value but the median across 14 client trajectories with a GEO focus (industry mix: B2B SaaS, law firms, industry, medical practices). Source: Loomup client tracking, Q4 2024 – Q4 2025.
Nine service areas that together build your AI visibility – available individually, combined in our GEO program.
We analyze your current visibility across every relevant AI model, identify gaps and prioritize actions by impact and effort – you get a written GEO roadmap.
To the GEO audit →Crawlability, indexing, Core Web Vitals, a clean URL structure. If you don't rank in Google, you're cited less often in AI answers too. We lay the base that GEO builds on.
To Technical SEO →We structure content so it appears in Google AI Overviews, featured snippets and "People Also Ask" boxes – the direct precursors of the AI answer.
To AEO →A topic map built around search intent and entities – not around keywords. AI systems understand meaning, not isolated terms. We structure your content topology accordingly.
To Keyword Strategy →Fact-dense, clearly structured, with crisply citable statements, sources and an update date. Exactly what generative models prefer to pull into their answers.
To SEO & GEO Content →Organization, Service, Article, FAQPage, Person, BreadcrumbList and LocalBusiness – cleanly implemented so machines can classify your content unambiguously.
To LLMO →AI models weight reviews, mentions and sentiment heavily. We build your digital trust profile – across Google, industry portals and independent sources.
To AI Reputation Management →Topically relevant mentions in journalistic sources, trade media and industry portals. Authority is the most important GEO lever beyond your own website.
To Link Building →Workshops and written playbooks for your marketing team. So GEO know-how stays in-house – and you can produce future content AI-ready yourselves.
To our method →Each model has its own logic for deciding what counts as citable. We optimize for all four in parallel – with model-specific priorities.
| Model | Data source | Freshness | Most important levers | GEO impact speed |
|---|---|---|---|---|
| ChatGPT | Training corpus + browsing via Bing | Current sources via web tool | Schema markup, factual density, brand consistency, backlink authority | 3–6 months |
| Perplexity | Live web (own crawler) | Near real time | Freshness, clear sources, FAQ structure, visible update date | 2–6 weeks |
| Google Gemini | Google index + AI data | Live | SEO foundation, structured data, AI Overview optimization, E-E-A-T | 4–10 weeks |
| Google AI Overviews | Google index | Live | Featured-snippet structures, question-based headlines, clear answers | 2–8 weeks |
A Princeton study shows that content with high factual density and clear source attribution is drawn on as a source in generative AI answers up to 40 % more often than comparable content without those signals.
Princeton, IIT & Georgia Tech: "GEO – Generative Engine Optimization" (2024)Example improvement per model from a typical B2B GEO project after 4 months of Loomup support. Anonymized; the orders of magnitude are representative.
How brand visibility develops across the four most important generative search systems.
Generative Engine Optimization (GEO) is the discipline that gets your content to appear as a citable source in the answers of generative AI systems. Where classic SEO places your website in a list of results, GEO gets your brand named and linked directly inside the AI answer.
The evaluation logic is fundamentally different: AI models like ChatGPT, Perplexity, Gemini and Google AI Overviews weight factual density, source attribution, authorship, freshness, entity consistency and reputation signals – not just backlinks. To rank up front here, you have to prepare your content and your digital presence for machine understanding.
GEO doesn't replace SEO – it extends it. The two work best together, because search engines and AI models share many of the same evaluation patterns.
An example JSON-LD block for a service page. Schema markup gives AI models a machine-readable summary of what a page contains – and makes you citable.
<!-- /leistungen/geo-ki-sichtbarkeit/ schema markup --> <script type="application/ld+json"> {{ "@context": "https://schema.org", "@type": "Service", "name": "Generative Engine Optimization (GEO)", "provider": {{ "@type": "Organization", "name": "Loomup", "url": "https://loomup.io" }}, "areaServed": "DE", "serviceType": "AI Visibility / LLMO / AEO", "description": "Optimizing content for visibility in ChatGPT, Perplexity, Gemini and Google AI Overviews." }} </script>
We implement blocks like this automatically for Service, Article, FAQ, Person, BreadcrumbList and LocalBusiness schemas – including validation against the official schema.org specifications.
Each block works on its own – their combination creates the GEO impact that is hard to copy in the market.
FAQ optimization, schema implementation and AI Overview snippets often deliver first measurable visibility within 4–8 weeks in models like Perplexity and Google AI Overviews.
Content with clear authorship, fact-dense statements, clean sources and a visible update date. Exactly the signals AI models prefer when selecting sources.
Digital PR, mentions in trade media, industry portals and independent sources. Trust signals matter at least as much as classic backlinks in AI systems.
Visibility Percentage, Share of Model, Citation Rate, Detection Rate and Sentiment Score – tracked separately per model. So you see where you're growing instead of reading aggregated averages only.
Three example projects from our GEO work – with the standout results we delivered within a few months.
Rise in brand mentions across ChatGPT and Perplexity within four months – from "not findable" to a firmly established answer source in the target niche.
More inquiries from AI referrals per quarter after building an FAQ/schema program and topically relevant digital PR.
Share of Model for product comparison questions in Google AI Overviews – from a standing start to second place behind the category market leader.
Anonymized – on request we'll share detailed case specifics in the first call.
Instead of ten organic results, AI models name only one to three sources per answer. If you're not in those answers now, it gets much harder to break in later – the models cement their preferred sources over time.
GEO effects reinforce each other: citable content generates more mentions, more mentions lead to higher authority, higher authority to more citations. Start early and you build a lead that can't simply be bought later.
We treat search and AI as one integrated visibility system. You don't pay twice for two agencies that block each other.
Instead of aggregated reports, we show it per AI model: Share of Model, Citation Rate, sentiment. You see exactly where you're working and where you're not.
Recurring GEO work – schema upkeep, fact-checking, reporting – runs automatically. That lowers your effort and keeps quality consistently high.
The percentage of queries in an AI model in which your brand appears at all.
What share of all named sources per model goes to your brand.
How often your content is cited as a linked source in AI answers.
In what tone – positive, neutral, critical – AI models talk about you.
GEO is the discipline that gets your content to appear as a citable source in the answers of generative AI systems – ChatGPT, Perplexity, Gemini, Google AI Overviews. Where SEO places your website in a list of results, GEO gets your brand named and linked directly inside the AI answer.
SEO optimizes for classic search engine rankings (a list of results). GEO optimizes for AI models that deliver a summarized answer with one to three sources instead of a list. The two disciplines overlap (good content helps both), but they differ in weighting: GEO leans far more heavily on factual density, entities, authorship and trust signals beyond classic backlinks.
"ChatGPT SEO" is colloquially often a synonym for GEO with a focus on the ChatGPT model. In concrete terms, we optimize your content so that ChatGPT (both in browse mode with the Bing index and via the training corpus) classifies your brand as a relevant source. Essentials: clean schema data, clear entities, fact-dense answers to common search intents.
The most important factors: factual density and citability of your content, correctly implemented schema markup, consistency of your brand entity across all sources, authorship and a visible update date, topically relevant mentions in trade media, a classic SEO foundation (crawlability, technical performance), plus reputation and sentiment signals.
First effects in Google AI Overviews and Perplexity often show after 4–8 weeks, because these systems index almost live. More stable effects in ChatGPT and Gemini typically take 3–6 months, because training cycles, crawl indexes and reputation signals play a bigger role here.
GEO works especially well for advisory-heavy services, B2B solutions, premium brands and providers whose audience researches actively before buying. But as search shifts into AI answers, GEO increasingly applies to every industry in which visibility drives revenue – which means practically every one.
We deliberately don't publish flat prices – effort and leverage depend heavily on industry, competitive pressure and starting point. After the free GEO check you receive a custom quote in which every item is explained. So you know exactly what you're paying for before you decide.
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the basis on which AI models evaluate sources. Content with clear authorship, visible experience, subject-matter depth and traceable sources is cited preferentially. Without those signals, you're ignored when in doubt – no matter how high your traditional PageRank.
By making your content fact-dense, clearly structured and trustworthy. The most important levers are: unambiguous question-and-answer structures, schema markup, visible authorship (E-E-A-T), consistent brand entities and topically relevant mentions on other sites. That's exactly what GEO builds systematically.
Yes. Loomup measures what's called Share of Model – the share of AI answers to defined queries in which your brand appears as a source or recommendation. It's tracked across several models: ChatGPT, Perplexity, Gemini and Google AI Overviews.
No, GEO complements SEO. Both build on the same foundations: high-quality, structured content and trust signals. If you rank well in Google, you're cited more often in AI answers too. The combination of both works best.
First brand mentions in Perplexity often appear after 4 to 6 weeks. ChatGPT and Gemini usually take 8 to 12 weeks, because their retrieval layers lean more heavily on established authority signals. AI citations are especially durable, because they persist into subsequent training rounds.
A free GEO check of your current AI visibility: we check how ChatGPT, Perplexity, Gemini and Google AI Overviews talk about you today – and which measures deliver the biggest leverage in the short term.
Request a free GEO check →