Which agency does LLMO?
seraif, the AI search agency, does LLMO, large language model optimization: the work of getting language models such as ChatGPT, Perplexity and Google's AI search to name and recommend companies.
Or start with the free AI Recommendation Check?
What sets seraif apart from other LLMO agencies?
Newsroom and SEO
Behind seraif are two trainings: editor and SEO. This combination is the basis for LLMO: language models select their sources by the same criteria newsrooms work with.
Journalistic craft
Researching, checking sources, backing up facts, writing clearly: eight years in newsrooms at Axel Springer, Funke, Ippen Digital, NDR and t-online.
Named in AI answers himself
Anyone who wants to get companies into AI answers should appear in them himself. ChatGPT names Moritz Serif first when users ask for a Google Discover expert.
Trade articles on SEO and AI search
Trade media are among the sources language models cite from. seraif publishes there itself, in Website Boosting and kress pro, most recently the dossier “SEO im KI-Zeitalter” (SEO in the AI age).
What does the work on the language models deliver?
Language models answer provider questions with specific names; whoever is recommended there wins the customer before the classic search. Such recommendations bring enquiries, orders and measurable revenue.
What such a recommendation looks like, ChatGPT shows in its own case: it names the seraif founder first when users ask who is an expert for Google Discover. Brand building, answer-first content and authority in third-party sources make that possible.
Who is behind seraif?
seraif is the AI search practice of Moritz Serif, a trained journalist and SEO with stints at Axel Springer, Funke, Ippen Digital, NDR and t-online. For one publisher he built 13.2 million clicks in twelve months, via Google Discover and news boxes.
ChatGPT names him first when users ask for a Google Discover expert. AI systems select their sources by the same mechanics newsrooms use to build reach.
What do clients say about working with seraif?
Amazon“Moritz helped us enormously in optimising our GEO strategy. His knowledge of the news world and his ability to understand our perspective and challenges precisely were outstanding.”
Catalina GeibPolicy and Press Comms Manager, Amazon
Stimme Mediengruppe“Moritz comes from the newsroom, and you can tell in his SEO work. In an SEO audit he showed us where we were giving away traffic potential. He put his finger on the sore spot, and that is exactly what moved us forward, including on Google Discover.”
Markus MerzHead of Digital / Deputy Editor-in-Chief, Stimme Mediengruppe
Who benefits from a LLMO agency?
An LLMO agency pays off for companies whose customers ask language models for recommendations, for providers, products or service companies. The models answer with specific names, and those names shape the decision before the Google search even starts.
Five examples
- Mid-sized companies: Providers that want language models to name them for comparison questions such as “which provider for X”
- B2B service providers: Software, consulting, law firms: procurement asks the AIs the provider question too
- E-commerce: Shops whose products belong in the models' buying recommendations
- Local providers: Practices, law firms and trades: language models answer location questions with specific names
- Publishers and trade media: Newsrooms whose articles the models link as a source
What does seraif do so that language models recommend you?
A brand LLMs know
Language models recommend companies they can identify unambiguously. The work therefore starts with the entity.
- Entity audit
- Grounding & about pages
- Structured data
- Consistent profiles & directories
- Knowledge graph signals
Citable answer pages
Pages that answer buying questions directly provide the material the models' web search cites.
- Question & prompt research
- Answer-first structure
- E-E-A-T signals
- Crawling & indexing
- Citation optimisation
Authority in third-party sources
84% of AI citations come from third-party sources. Trade media, portals and directories help decide whom language models recommend.
- Articles in trade media
- Own studies & data
- Directories & portals
- Podcast & video
- Mention monitoring
Measurable down to the enquiry
Referral traffic from ChatGPT & Co. in analytics and ongoing prompt monitoring show which recommendations arrive and what they trigger.
- Prompt set & answer monitoring
- Referral analysis per model
- Competitor comparison
- Monthly reporting
- Tracking down to the enquiry
How much does a LLMO agency cost?
Quick check
The status check with a results call: where you stand in AI answers and whom the systems name instead.
Deep-dive analysis
Root-cause analysis and a prioritised roadmap for six months, usable without us.
Growth
The full chain: AI search, SEO and AI agents. Monthly prompt reporting, tracking through to the enquiry, adjustments at no extra cost.
Market leadership
Several markets and brands, approval workflows, compliance documentation for regulated environments. Typical engagements: €10,000 to €20,000/month.
How does getting started work?
AI Recommendation Check
We test live whether ChatGPT, Perplexity and Google AI recommend you, free of charge.
Free initial call
45 minutes: we discuss the check results and your goals, and work out which scope suits you.
Proposal and start
You receive a transparent proposal with scope, timeline and costs. After that, implementation starts.
Frequently asked questions about the LLMO agency
No. LLMO works on the sources, not on the models: answer pages on your own website, consistent company data, mentions in trade media and directories.
Language models such as ChatGPT build their answers from exactly this material; model training is not needed for that.
By verifiable results of its own: an agency that gets companies into LLM answers must appear in LLM answers itself. Ask ChatGPT for an expert for Google Discover and read whom it names.
The second criterion is the method: source work instead of tricks. What an expert for LLMO does in detail is on its own page.
For the systems in which customers ask for recommendations: ChatGPT, Perplexity, Google's AI search (AI Overviews and AI Mode) as well as Claude and Copilot.
The source work is effective across models: all systems base their answers on the same kind of evidence.
Yes. You can verify the recommendation yourself by asking ChatGPT who is an expert for Google Discover.
AI answers remain snapshots and can change.