Comparison

ChatGPT vs Perplexity vs Gemini: enterprise comparison

Three models, three different logics for deciding which brand appears in an answer. How to prepare for all three at once.

Side-by-side comparison

Dimension	ChatGPT	Perplexity	Gemini
Owner company	OpenAI (Microsoft partner)	Perplexity AI Inc.	Google DeepMind
Mainstream launch	November 2022	August 2022	December 2023 (Bard rebrand)
Real-time web access	Yes in Search/agent modes; not in base answer	Yes, always (search engine)	Yes, integrated with Google Search
Cites external sources	Only in Search/agent mode	Yes, always with links	Yes, frequently with links
Top signal to cite a brand	Consolidated training-data presence (Wikipedia, media)	Recent content with verifiable data and domain authority	Google Business Profile, YouTube, verified reviews
Model-update frequency	Per release (every 3-6 months)	Continuous (live search engine)	Per release + Google integration
Spain market share (2025)	~60% of generative-AI usage	~15-20%	~15-20%
Typical audience	Mainstream, professionals, students	Research, journalism, technical professionals	Google ecosystem users, Android mobile
Priority GEO strategy	Wikipedia + media coverage + Schema	Fresh content + citations + domain authority	Google Business Profile + YouTube + verified reviews
Average time to first impact	8-12 weeks (depends on retraining)	4-6 weeks (live engine)	6-10 weeks (depends on Google updates)

In-depth

How each model decides which brand to mention

ChatGPT (without active search) responds from its training corpus. To appear, you need consolidated presence in the sources OpenAI uses for training: Wikipedia, major mainstream and vertical media, books, papers and forums with authority. The operational consequence: GEO for base ChatGPT requires patience and digital PR work.

Perplexity is a search engine with an LLM on top: every answer cites real-time sources with visible links. Source-selection criteria are closer to classic SEO (domain authority, freshness, semantic relevance) but with a preference for well-structured content with verifiable data.

Gemini is integrated with the Google ecosystem: it reads from Search, Google Business Profile, YouTube, reviews and structured data. For a brand with local presence, optimizing Gemini is largely optimizing the Google Business Profile and consolidating verified reviews.

Which to prioritize for a Spanish B2B brand in 2025?

It depends on sector and audience. For a brand targeting the general public in Spain, ChatGPT is the priority model by usage share. For a technical or research-oriented brand (legal, finance, consulting), Perplexity has disproportionate weight given the user profile that adopts it.

For a brand with local presence (clinics, law firms, restaurants, retail), Gemini becomes critical because it directly integrates Google Business Profile and reviews into its geolocalized answers.

The GEOMOND strategy works on all 3 models in parallel because most of the actions (Schema.org, Q&A content, domain authority) serve all of them.

Differences in citation mechanics

Base ChatGPT does not cite sources: it synthesizes information without visible links. Perplexity always cites and links: the brand appears as an explicit citation alongside a clickable link. Gemini cites frequently, especially in local queries where it shows Google Business profiles directly.

This difference has a practical implication: traffic recoverable from Perplexity and Gemini to your website is greater than from base ChatGPT, but ChatGPT generates more pure mention volume (brand impressions) due to its larger usage share.

Frequently asked questions

Which of the three has more users in Spain in 2025?

ChatGPT with about 60% of generative-AI usage share, followed by Gemini and Perplexity with 15-20% each. Gemini's share grows fast on Android phones where it ships integrated.

Is it necessary to optimize for all three at once?

Yes. Most of the GEO work is common to all three models (schema, Q&A content, domain authority). You only need to prioritize specific actions according to the model most relevant to your audience: Wikipedia for ChatGPT, fresh content with citations for Perplexity, Google Business Profile for Gemini.

Why does Perplexity cite and ChatGPT does not?

Perplexity is by design a search engine with an LLM on top: citation is part of the product. Base ChatGPT is a generative language model that synthesizes the training corpus without retrieving sources in real time (except in its explicit search modes).

What about Claude or Copilot?

Claude (Anthropic) holds under 5% share in Spain and concentrates in technical and enterprise use. Microsoft's Copilot uses OpenAI's model under the hood with extra Bing data: optimizing for ChatGPT covers most of the work for Copilot.

Recommendation

There is no single "winner" between ChatGPT, Perplexity and Gemini: they are three engines with different logics covering partially overlapping audiences. A serious GEO strategy works on all three in parallel, adjusting intensity by sector and audience.

Recommended starting point: measure the Presence Index in all 3 engines before deciding priorities. The differences between them are usually very revealing about the real state of your brand in each ecosystem.

Get a Presence Index diagnosis →