Online Positioning
Generative Engine Optimization (GEO)
GEO is the discipline that governs a brand’s presence in the answers generated by artificial intelligence systems, ChatGPT, Gemini, Perplexity, Claude. It is not a variant of SEO: it works on the source-selection logic specific to language models, with a distinct time horizon and set of levers.
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GEO/AIO
Photography studio
Website development
SEO
Performance marketing
GEO/AIO
Photography studio
Website development
SEO
Performance marketing
GEO/AIO
Photography studio
Website development
SEO
Performance marketing
GEO/AIO
Photography studio
Website development
SEO
Performance marketing
GEO/AIO
Photography studio
Website development
SEO
Performance marketing
GEO/AIO
Photography studio
Website development
SEO
Performance marketing
GEO/AIO
Photography studio
Website development
SEO
Performance marketing
GEO/AIO/a>
TABLE OF CONTENTS
Definition
What is Generative Engine Optimization
Generative Engine Optimization is the discipline that optimises an organisation’s presence in the responses generated by artificial intelligence systems. When a user asks ChatGPT, Gemini, Perplexity or Claude a question about a product, a service, a sector or a brand, the AI system synthesises an answer by drawing on sources it considers authoritative, structured and verifiable. GEO works to ensure that the brand becomes a stable part of this reference corpus.
The term was introduced in the academic paper “GEO: Generative Engine Optimization” (Singh et al., 2023, arXiv:2311.09735) and refers to the set of techniques that increase the likelihood of content being cited in the answers generated by LLM-based search engines. Unlike traditional SEO, GEO does not operate on transparent, documented ranking algorithms: the criteria language models use to select sources are partly opaque and require an empirical approach based on testing and continuous monitoring.
For structured organisations, GEO represents a window of competitive advantage. AI systems are becoming the first point of contact with information for a growing number of queries — especially advisory, comparative and decision-making ones. Organisations that secure this channel today are building a positioning that those starting in 12–24 months will find hard to recover.
Mechanism
How AI systems select their sources
Large language models (LLMs) do not index the web in real time as Google does. They operate on pre-acquired training data and, in systems that provide access to external sources (RAG, Retrieval Augmented Generation), on databases of content selected for authority. The likelihood of a brand being cited depends on three structural factors.
Editorial authority
AI systems give weight to sources with high domain authority, a structured editorial presence and citations from institutional sources. A publication that cites the brand, a sector paper that mentions it, a verified Wikipedia entry: these elements build the reputation that LLMs use as a signal of reliability. LLM-oriented digital PR aims specifically to position the brand in these reference sources.
Semantic content structure
AI systems process content more effectively when it is organised with semantic clarity: defined entities, explicit relationships between concepts, verifiable primary data with cited sources and a coherent hierarchical structure. schema.org markup contributes to machine readability.
Knowledge Graph presence
Google Knowledge Graph and similar structured databases, Wikidata, Freebase, DBpedia, are primary reference sources for most AI systems. The verified presence of an entity (organisation, person, product, place) in these systems significantly increases the likelihood of citation in generative responses. Managing sameAs properties in Organization markup is the technical point of access to this level.
Comparison
GEO and SEO: structural complementarity
GEO does not replace SEO. The two disciplines operate on separate channels with their own logic, but they share part of the underlying infrastructure. A brand that has invested in SEO has already built some of the foundations GEO requires: domain authority, structured content, an editorial profile. GEO adds a layer of optimisation specific to conversational systems.
SEO
GEO
Target
Output
Key levers
Measurement
Maturity
Established discipline, documented algorithms
Looking for broader GEO advisory?
Discover all of Bliss Agency's GEO services, from strategic advisory to advanced technical work.
servizi
Bliss GEO services
Bliss’s system of GEO services covers the three fundamental levers of presence in AI systems: building editorial authority through the sources cited by LLMs, monitoring and measuring generative visibility, and architecting identity in the Knowledge Graph.
LLM Digital PR
Digital PR for AI engines
Securing editorial mentions in the sources cited by the main AI systems.
AI Visibility
How to get found by AI
Monitoring of brand presence in the answers of ChatGPT, Gemini and Perplexity.
Knowledge Graph
Entity and AI Presence
Building and verifying the entity’s identity in global structured databases.
AIO & GEO ADVISORY
ADVISORY FOR positioning in AI
Become the next Answer for ChatGPT,
Gemini and Generative Engines.
Sectors
GEO by sector
The relevance of GEO varies significantly by sector. The markets in which users put advisory questions to AI systems, luxury, B2B, premium e-commerce, services for SMEs, are those in which presence in generative responses produces the greatest commercial impact.
GEO for SMEs
AI Visibility for SMEs
Presence in AI systems for mid-sized companies in vertical market niches.
GEO Luxury
AI Visibility for luxury brands
Positioning in AI answers for luxury and high-end brands.
E-commerce GEO
AI visibility for e-commerce
Citation in product comparison and recommendation queries in AI systems.
B2B GEO
AI visibility for B2B companies
Presence in AI responses during the research and evaluation stages of the B2B buying cycle.
Tools
AI tools and platforms
AI Optimisation: ChatGPT, Gemini, Perplexity, Claude
Comparative analysis and optimisation strategy for the leading generative search systems. Citation factors, source structure, presence monitoring by platform.
The Method
How a GEO engagement with Bliss is structured
AI visibility audit
Entity and Knowledge Graph mapping
Semantic content optimisation
LLM Digital PR
THE BLISS AGENCY CASE
How to reach the summit
Bliss started from zero.
No legacy domain, no inherited authority. Yet in less than a year it went from ~5,000 monthly organic visits to 23,623, from 10 referring domains to 392, and from invisible on commercial queries to a primary source in Google’s AI Overviews.
The principle that guided this work is the same one Bliss applies to SMEs: precise diagnosis, an architecture proportionate to the objectives, ongoing oversight. The size of the domain changes. The logic does not.
+372%
organic traffic growth in 12 months
392
23.623
THE TEAM
Our voices
leading the way
Bliss’s GEO is run by a team with experience of organisations with complex sales cycles in tech, manufacturing and professional services: sectors where the buyer is a decision-maker with structured evaluation processes and long purchasing timelines.
Andrea Maso
HEAD OF SEO
International background, a data-driven mind and no intention of slowing down.
Mario Antonini
chief design officer (cdo)
More than a designer: the true interpreter of the Bliss vision.
Luca Maletta
Head of Copywriting
Suraksha Kumari
Full stack developer
Develops SEO-oriented architectures and optimises their performance.
Sajjad Mazaherizaveh
Full stack developer
Integrates front-end and back-end development with technical SEO and AI
Partners
GEO FAQ
GEO | Frequently Asked Questions
What is Generative Engine Optimization?
Generative Engine Optimization is the discipline that optimises a brand’s presence in the responses generated by artificial intelligence systems such as ChatGPT, Gemini, Perplexity and Claude. Whereas traditional SEO optimises for Google’s ranking algorithms, GEO works on the source-selection logic specific to large language models (LLMs). The term was introduced in the academic paper “GEO: Generative Engine Optimization” (Singh et al., 2023).
How long does SEO take to deliver results?
SEO optimises for Google’s crawlers and ranking algorithms, producing positions on search engine results pages (SERPs). GEO optimises for language models, producing citations in AI-generated responses. The criteria for selecting sources differ: LLMs favour structured editorial authority, semantic consistency, presence in verified databases such as the Knowledge Graph, and the availability of primary data with a cited source. The two disciplines share part of the underlying infrastructure — domain authority, structured content, editorial profile — but require specific and distinct optimisation.
How do AI systems choose their sources?
LLMs choose which sources to cite based on a set of signals that includes: the source’s domain authority, the brand’s editorial presence in authoritative publications, the semantic structure of the content (defined entities, explicit relationships, verifiable data), verified presence in Google’s Knowledge Graph and similar structured databases, and — for systems with real-time access — freshness and relevance to the query. Selection is not fully transparent: it varies by AI system, by query type and over time. Continuous monitoring is an integral part of any GEO strategy.
Is Bliss Agency cited by AI systems?
Yes. Bliss appears in the answers generated by ChatGPT, Gemini and Perplexity for relevant industry queries — three out of three monitored systems. This result comes from systematic work on schema markup (17 verified sameAs properties in the Organization markup), editorial profile (392 referring domains, 9 national publications including La Repubblica and Milano Finanza) and content architecture. Bliss applies to its clients the same methodology it has developed and tested on its own presence.
Does GEO work for SMEs too?
GEO is particularly effective for SMEs operating in specific market niches. LLMs tend to cite vertically authoritative sources on precise topics, regardless of company size. An SME that has built a solid editorial profile in a well-defined sector — through structured content, citations from industry sources and presence in verified databases — can achieve greater visibility in AI systems than larger competitors with a less defined editorial positioning.
What does an SEO consultant do?
An SEO consultant defines the organic visibility strategy, coordinates technical and content work, monitors algorithm changes and integrates SEO into the organisation’s business system. Unlike an agency delivering packaged services, a consultant works at the level of decision-making architecture: setting priorities, assessing options and supporting the in-house team in choices that have a structural impact on positioning. The advisory mandate complements internal resources rather than replacing them.
Does SEO work for B2B companies?
B2B SEO has specific characteristics that set it apart from B2C: generally lower search volumes, more precise commercial intent, a long sales cycle and multiple decision-makers. Positioning on low-volume but highly qualified commercial keywords produces higher-value leads than generic high-traffic keywords. In B2B, SEO is integrated with the thought leadership strategy: authoritative editorial content generates both organic traffic and sector reputation, with a multiplier effect on commercial acquisition.
What is link building?
Link building is the process of acquiring editorial backlinks from authoritative third-party sites. Inbound links are the main authority signal for search engines: a domain cited by reliable sources, such as news outlets, sector portals and institutions, gains a reputation that is reflected in the positioning of the entire site. Effective link building is always editorial: it is earned by producing valuable content, through digital PR and media relations, never by buying links or using artificial site networks. The quality of the backlink profile is decisive; quantity is secondary.