Generative engine optimization that gets
your brand cited in AI answers
Generative engine optimization (GEO) makes your content quotable by AI systems. We build the entities, structured data and declarative copy that ChatGPT, Perplexity and Google’s AI Overviews rely on when they answer a question in your market. GEO runs on the same foundations as your SEO services, which is why we run both as one job.
AI answers cite three sources. Everyone else disappears.
If the model cannot parse your brand, you never reach the shortlist, however well you rank.
Search now splits in two. Classic results still send traffic, and a growing share of research ends inside an AI answer that names two or three sources.
Language models pick those sources on evidence, not on reputation. They favour content they can retrieve, parse, attribute and corroborate: Unambiguous entities, explicit claims, valid structured data and confirmation elsewhere on the web. Generative engine optimization engineers exactly those four signals.
Generative engine optimization makes your content quotable by machines
Generative engine optimization (GEO) is the practice of making content retrievable, quotable and attributable for AI systems such as ChatGPT, Perplexity, Claude and Google’s AI Overviews. Classic SEO competes for a position in a list. GEO competes to be the sentence the model writes.
GEO rests on 4 pillars: Your brand, people and products exist as unambiguous entities; your key claims read as self-contained statements a model can lift verbatim; your structured data tells machines what each page is; and independent sources confirm what your site asserts. Answer engine optimization and LLM SEO describe the same discipline under different names.
Four signals that you need GEO
Generative engine optimization pays off in these four situations:
Traffic falls while rankings hold:
Positions hold, sessions fall. AI answers absorb the click before it reaches your site, and further on-page work will not close that gap.
AI names competitors, never you:
Ask ChatGPT to name the leading providers in your category. If it lists three competitors and omits you, the model holds no reliable picture of what you do.
AI describes your business wrongly:
Models quote retired products, old pricing and the wrong positioning. Every unanswered wrong answer hardens into the default description of your business.
Your offer needs explaining:
Buyers research complex offers conversationally for weeks before they fill in a form. The cited source shapes a shortlist you never get to see.
What our generative engine optimization services cover
GEO is engineering work. Every engagement covers the four layers that decide whether a model finds you, parses you and quotes you:
Technical SEO
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AI crawler access: GPTBot, ClaudeBot, PerplexityBot and Google-Extended each fetch your site under their own rules. We audit robots directives, rendering and response times so every crawler that feeds an answer engine reads the pages that matter.
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llms.txt: A structured briefing at the root of your domain names your organisation, your services and your authoritative pages. Models then resolve your brand from a source you control instead of from inference.
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Server-rendered substance: Most AI crawlers execute no JavaScript. Claims that appear only after hydration stay invisible. We ship the substance in the HTML.
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Extractable claims: Models lift sentences, not pages. We rewrite your core statements so each one survives on its own, with the number, the date and the qualifier attached.
Entities & authority
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Entity architecture: Your organisation, your people and your services become unambiguous entities with stable identifiers and explicit relationships. Ambiguous entities are the most common reason a model confuses two similarly named companies.
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Off-site corroboration: A claim only your own site makes carries little weight. We build the profiles, mentions and citations that let an answer engine verify your assertions independently.
Structured data
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A connected schema graph: Organization, Person, Service, FAQPage, DefinedTerm and Article markup, wired together by @id. One coherent graph beats a dozen disconnected snippets.
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Quotable definitions: A glossary of the terms your market searches, each written as a clean definition. Definitions are the passages AI systems reuse most often and the cheapest citations you will earn.
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Speakable and passage markup: We mark the passages built to be read aloud or lifted whole, so the model knows which sentence answers the question.
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Freshness signals: Explicit publication dates, versioned claims and clean handling of retired content stop models quoting a version of your business from two years ago. Stale pages also weaken the E-E-A-T signals a model weighs.
Measurement
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AI visibility tracking: We run a fixed prompt set across ChatGPT, Perplexity, Google AI Overviews and Gemini every month and record whether you appear, how you are described and who is named beside you.
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Share of voice: Monthly reporting on citation frequency, sentiment and source domains shows whether the work lands and where the next gap sits. Analytics will not report this traffic reliably, so the prompt set is the measurement.
What our clients say
„Thanks to taismo GmbH we were able to boost new business and increase the number of leads considerably.“
Sasha B.
Head of Sales
„The taismo team really got to grips with our subject. Thanks to that change of perspective our website was optimised for new focus keywords, and that had a positive effect on our Google traffic. In both SEO and SEA we are in a far better position today thanks to taismo.“
Janet R.
marketing
Measure your AI visibility today
Step 1: We run your category through ChatGPT, Perplexity, Gemini and Google AI Overviews and record what they say about you today. Cited or absent, described correctly or wrongly, and which competitors take your place.
Diagnose why models skip you
Step 2: We find the cause. Blocked crawlers, JavaScript-only content, contradictory structured data, ambiguous entities or claims no third party confirms. Each one explains a skipped citation.
Fix the machine-readable layer
Step 3: We rebuild the machine-readable layer. Crawler access, llms.txt, a schema graph wired by @id, and clean entity definitions for your organisation, people and services.
Make your claims quotable
Step 4: We rewrite your core claims into self-contained statements, add the definitions your market searches for, and build the off-site corroboration that makes those claims credible to a model.
Track, report, adjust
Step 5: We track the same prompt set monthly, report citation share against named competitors and keep adjusting. AI answers shift constantly, so GEO stays maintained rather than finished.
Measure your AI visibility today
Step 1: We run your category through ChatGPT, Perplexity, Gemini and Google AI Overviews and record what they say about you today. Cited or absent, described correctly or wrongly, and which competitors take your place.
Diagnose why models skip you
Step 2: We find the cause. Blocked crawlers, JavaScript-only content, contradictory structured data, ambiguous entities or claims no third party confirms. Each one explains a skipped citation.
Fix the machine-readable layer
Step 3: We rebuild the machine-readable layer. Crawler access, llms.txt, a schema graph wired by @id, and clean entity definitions for your organisation, people and services.
Dominik Breitbach
Head of SEO & Managing Partner at taismo GmbH
GEO vs. SEO: What is the difference?
Classic SEO competes for a position in a list of links. Generative engine optimization competes to be the answer itself and to be named as its source. We unpack that split in detail in our guide to GEO vs. SEO. The mechanics differ; the foundation holds for both, because each depends on crawlable technology, explicit claims and demonstrable authority.
taismo therefore treats GEO as part of SEO rather than a separate product. A site with broken rendering, contradictory schema and no third-party corroboration fails at both disciplines. Repair that foundation and you compete in the ten blue links and in the answer box at once. Measurement is the one genuinely new discipline, because a citation in ChatGPT leaves no trace in your analytics.
How taismo approaches GEO
Self-contained sentences a model lifts without losing the meaning.
Your brand, people and services as unambiguous entities in the knowledge graph.
One connected schema graph, so machines read a picture instead of fragments.
Experience and expertise confirmed where the models already look.
GEO audit & GEO setup: Two ways to start
Retainer clients get generative engine optimization as part of the work. For a focused entry point we offer two clearly defined generative engine optimization services:
We measure how visible and how quotable you are for AI systems today.
- ✓Prompt testing across ChatGPT, Perplexity, Gemini and AI Overviews
- ✓Crawler access, rendering, structured data and llms.txt reviewed
- ✓Citation share measured against your named competitors
- ✓A fix list prioritised by effect, not by effort
We build the foundation that makes AI systems cite you.
- ✓Entity architecture and a connected JSON-LD graph implemented
- ✓llms.txt plus core claims rewritten to survive extraction
- ✓Author and brand signals corroborated where models look
- ✓Monthly AI visibility tracking with competitor benchmarks
Generative engine optimization: Frequently asked questions
- What is generative engine optimization?
Generative engine optimization (GEO) makes content retrievable, quotable and attributable for AI systems such as ChatGPT, Perplexity and Google’s AI Overviews. Classic SEO competes for a position in a list of links. GEO competes to be the answer the model writes and to be named as its source.
- How does generative engine optimization work?
Language models run three stages: They retrieve passages, weigh how trustworthy each source looks, then generate an answer and cite a few references. GEO works on all three. It makes pages retrievable for AI crawlers, rewrites claims into standalone statements that survive extraction, and corroborates those claims through structured data and third-party mentions.
- Is GEO the same as SEO?
No. SEO wins positions in search results, GEO wins citations inside AI answers. Both depend on the same foundation of crawlable technology, explicit claims and demonstrable authority, which is why taismo runs them as one engagement.
- How do you measure AI visibility?
With a fixed prompt set, run monthly across ChatGPT, Perplexity, Gemini and Google AI Overviews. We record whether you are cited, how you are described, which competitors appear beside you and which source domains the models pull from. Web analytics does not report AI citations reliably, so the prompt set is the measurement.
- Do I still need GEO if my SEO is strong?
Strong SEO gives you a head start, because models draw heavily on well-ranking pages. It is not sufficient on its own. Plenty of sites hold top three positions and never get cited, usually because their claims resist extraction, their entity signals stay ambiguous or their content renders only in JavaScript.
- What does generative engine optimization cost?
Inside an ongoing retainer, GEO is largely included. As a standalone entry point, the GEO audit and GEO setup are scoped against the size of your site and the number of markets you serve. We agree the scope in the first call, before anything is signed.
- How long until AI systems cite us?
Retrieval-based systems such as Perplexity and Google AI Overviews fetch live sources and can pick up changes within a few weeks. Answers baked into training data shift far more slowly. We optimise the retrieval layer first, because that is where the change becomes measurable.