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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.

DISCOVER OPERATIONS

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
Google and traditional search engine ranking algorithms
Language models (ChatGPT, Gemini, Perplexity, Claude)
Output
SERP position, clickable links
Citation in generative answers, brand mentions
Key levers
Technical, content, backlinks
Digital PR, Knowledge Graph, semantic structure
Measurement
Position, impressions, CTR, organic traffic
Brand mention rate, citation frequency, presence score
Maturity

Established discipline, documented algorithms

Emerging discipline, empirical approach required

Looking for broader GEO advisory?

Discover all of Bliss Agency's GEO services, from strategic advisory to advanced technical work.

Tools

AI tools and platforms

GEO spans different platforms, each with its own logic for selecting sources, updating its corpus and citing content. A comparative analysis of the main platforms, ChatGPT, Gemini, Perplexity, Claude, is the starting point for setting intervention priorities.
Logo di ChatGPT, strumento di intelligenza artificiale per SEO. Immagine su sfondo nero, ideale per articoli sull'AI.
Logo Gemini: stella colorata e testo bianco su sfondo nero. Intelligenza artificiale per SEO.
Claude intelligenza artificiale: logo con fiore arancione stilizzato e testo "Claude" in bianco su sfondo nero per SEO.
Logo di Perplexity AI: simbolo astratto e testo "perplexity" in bianco su sfondo nero. Ottimizzazione SEO con intelligenza artificiale.

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

Every GEO engagement starts by listening: what AI systems say about your brand today, what they ignore and where they confuse you with competitors. From there we build a tailored, measurable and progressive action plan.
We query ChatGPT, Gemini and Perplexity with the queries relevant to your sector, your name and your main competitors. The result is a precise map: what the models already know about your brand, what they wrongly attribute to others, and where there is a reputational gap to close. It is the starting point without which any GEO intervention is blind.
We examine how the brand is represented in the structured databases AI systems use as a reference: Google Knowledge Panel, Wikidata, schema.org, authoritative directories. We identify missing properties, inconsistencies between sources and opportunities to strengthen the brand’s semantic identity. A well-defined entity is recognised; a poorly defined one is ignored or confused.
We restructure the site’s key content to make it highly citable by language models: clear definitions in the opening lines, primary data with cited sources, a coherent hierarchical structure, FAQ and HowTo markup. AI systems extract what is organised and verifiable, not what is written persuasively.
We build editorial mentions of the brand on the sources AI models use as their reference corpus: trade publications, papers and portals with high domain authority. This is not just about backlinks: every mention on an authoritative source increases the likelihood that the brand is cited in generative answers to relevant queries in your market.

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

referring domains acquired (from 10)

23.623

monthly organic visits reached

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.

Ebrahim Afridi

Frontend Engineer

Designs web infrastructure with an SEO-first approach

Luca Maletta

Head of Copywriting
Copywriter, ghostwriter, author, translator and investigator of human dynamics.

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

Logo Paramount Pictures. Montagna stilizzata con stelle. Brand consulting.
Logo Accademia Nazionale di Danza. Corsi di danza a Roma.
biagiotti
part.-3-_0000s_0001_AKTUALNE-LOGO-KEMON
Logo Marchesi
Logo forged irish stout beer
Logo BKFC
Logo shinto sushi restaurant
Logo nespresso
Logo pablo exscobar vodka
Logo NABLA cosmetics
Logo pandora
Logo enerfin
Logo LEMA Mobili
Logo Hotel Punta Tragara
Logo Miele su sfondo nero. Design minimalista per Bliss Agency, esperti in marketing e comunicazione.
Logo scarpa mondo
brondi

GEO FAQ

GEO | Frequently Asked Questions

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).

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.

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.

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.

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.

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.

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.

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.

Brand Advisory

Brand Positioning
Brand Architecture
Archetypal Models
Identity Systems
Audit
Consulting
Advisory
Growth
Applying strategy across markets
Brand control system
Global activation framework
Strategic validation of initiatives

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Operations

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Campaign Shooting
Cinematic Content
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3D Design
Motion Assets
UI/UX Design
Web Development
E-Commerce
Platform Maintenance
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SEO Optimization
AI Optimization
AI Visibility
Semantic Authority
Generative Citability
LLM Digital PR