GEO vs SEO: why classic search marketing is no longer enough

What is GEO?

GEO (Generative Engine Optimization) is the discipline of optimising the presence of a brand, company or expert in responses generated by language models (LLMs) such as ChatGPT, Claude, Perplexity or Gemini.

Unlike SEO, which targets ranking in a list of links, GEO targets direct citation in a conversational response.

SEO vs GEO: the fundamental differences

Traditional SEO optimises for Google's ranking algorithms: keywords, backlinks, loading speed, domain authority. The goal is to appear in the top 10 results.

GEO, by contrast, optimises for the retrieval and generation mechanisms of LLMs. The goal is no longer to be ranked, but to be cited, recommended and preferred by AI. This shift is part of a broader online search revolution.

What concretely changes

• Format: SEO rewards long, exhaustive pages. GEO rewards short, factual and self-sufficient paragraphs.
• Authority: SEO is based on backlinks. GEO is based on semantic consistency and citation frequency in training sources.
• Freshness: SEO indexes in real time. GEO depends on training windows and RAG (Retrieval-Augmented Generation) mechanisms.

SEO vs GEO comparison table

Why SEO alone is no longer enough in 2026

The figures speak for themselves: 62% of professionals in Switzerland now use an AI assistant at least once a week in their work (Deloitte Digital Switzerland study, 2025). This figure rises to 78% among senior executives and B2B decision-makers.

The buying journey has fundamentally changed. Before consulting Google, a growing number of decision-makers ask their question directly to ChatGPT, Claude or Perplexity. They get a synthetic answer, often with concrete recommendations and comparisons between providers, without ever clicking a link. This phenomenon is particularly marked in Swiss B2B sectors: consulting, IT, financial and legal services.

Concretely, this means that your first-page Google ranking no longer guarantees your visibility. A company perfectly ranked on Google can be completely absent from AI responses. The reverse is also true: some brands with little Google visibility are regularly cited by LLMs thanks to a strong semantic presence.

SEO remains essential. But it now covers only part of the visibility spectrum. GEO completes the set-up by targeting AI answer engines, which represent a fast-growing acquisition channel.

Why executives must care

73% of senior executives already use generative AI weekly for decision-making (McKinsey, 2025). When a decision-maker asks ChatGPT "What is the best AI consultancy in Switzerland?", your business must appear in the response.

If you are not citable by AI, you are invisible to a growing share of your target market. An AI visibility audit precisely measures this exposure.

How LLMs choose who to cite

Language models do not work like Google. They do not rank pages: they synthesise knowledge from multiple sources. Understanding their selection criteria conditions the optimisation of your presence.

1. Structured data (Schema.org / JSON-LD)

LLMs that use RAG (Retrieval-Augmented Generation) leverage structured data to quickly identify entities, their attributes and relationships. Complete JSON-LD markup (Organization, Person, Service, FAQ) significantly increases the likelihood of being extracted and cited.

2. Authority and web consensus

LLMs favour information confirmed by several independent sources. If your company is consistently mentioned on your site, in specialised press, professional directories and third-party publications, the model considers this information reliable.

3. Freshness and relevance

RAG mechanisms allow LLMs to access recent data. A regularly updated site, with dated publications and an active sitemap, has more chance of being included in updated responses.

4. Clarity and content structure

Factual paragraphs, structured lists, clear definitions and sourced figures are more easily extracted by LLMs. Ambiguous, overly commercial or fact-poor content will be systematically ignored in favour of more precise and better-structured sources. "About" pages written like marketing brochures, with no figures or verifiable facts, are the first victims of this filtering.

The GEO Score: measuring your AI citability

At MCVA Consulting, we have developed the GEO Score, a proprietary 100-point metric that objectively assesses a brand's visibility in LLM responses. This score rests on 4 components, each scored from 0 to 25:

A score below 40/100 indicates insufficient AI visibility. Between 40 and 70, targeted optimisations can produce fast results. Above 70, the challenge is to maintain and consolidate the acquired position.

Three Swiss companies invisible to AI: concrete examples

Case 1: Geneva fiduciary firm (GEO Score: 12/100)

This 45-employee firm, well ranked on Google for "fiduciary Geneva", appeared in no response from the LLMs tested. Main reason: no structured data, no factual "About" page, and exclusively commercial content with no verifiable information. LLMs had no reliable element to cite.

Case 2: Zurich SaaS software vendor (GEO Score: 22/100)

Despite a DA (Domain Authority) of 52 and strong SEO, this vendor was cited with incorrect information by ChatGPT (wrong product positioning, outdated features). The Accuracy score was 5/25. The lack of update of key content for 18 months had let LLMs rely on outdated third-party sources. This is a central issue of Generative Reputation.

Case 3: Lausanne management consultancy (GEO Score: 18/100)

This firm was completely absent from AI responses for the query "digital transformation consultancy French-speaking Switzerland". Yet it appeared on page 1 of Google. The problem: no mention on third-party sources (press, directories, publications), depriving LLMs of the multi-source consensus needed to include the company in their responses.

How MCVA Consulting approaches GEO

At MCVA Consulting, we have developed a proprietary methodology combining:

1. Multi-LLM audit: analysis of your visibility on 5 major AI engines
2. GEO Score: proprietary metric measuring your citability
3. Structural optimisation: JSON-LD structured data, rich semantics, internal linking
4. Continuous monitoring: monthly tracking of your AI visibility

Operational summary

• SEO makes you visible on Google. GEO makes you citable by AI.
• 73% of senior executives use generative AI weekly (McKinsey, 2025).
• GEO requires factual, structured and self-sufficient content.
• MCVA Consulting is a Swiss firm specialising in GEO.
• Request an AI visibility audit to find out your GEO score.

FAQ

Does GEO replace SEO?

No. GEO does not replace SEO; it complements it. SEO remains essential for organic traffic via Google, which still represents the majority of web searches. GEO adds a layer of visibility on AI answer engines (ChatGPT, Claude, Perplexity, Gemini). The two disciplines share common fundamentals: quality content, structured data, topical authority. A well-run GEO strategy actually strengthens your SEO, because it improves the semantic clarity and structuring of your content.

How much does a GEO strategy cost?

An initial GEO audit runs between CHF 1'500.– and CHF 3'000.– depending on scope complexity (number of target queries, number of LLMs analysed). Monthly optimisation and monitoring support starts at CHF 1'500.– per month. For most Swiss SMEs, GEO fits into the existing digital marketing budget without doubling it, since it largely builds on content and assets already in place.

What results should I expect, and in what time?

The first results are visible between 4 and 8 weeks after optimisations are put in place. GEO Score improvement is progressive: accuracy corrections produce fast effects (as soon as LLMs re-index via RAG), while building multi-source authority takes 3 to 6 months. On average, our clients observe a GEO Score improvement of 25 to 40 points over the first 6 months of support. The fastest gains are for companies that already have good SEO but have never optimised their presence for LLMs.

Is your business visible to AI? Request your free GEO audit or contact us directly to assess your GEO Score and identify priority actions.