Is GEO relevant for B2B or only B2C?

GEO is even more relevant in B2B than B2C. B2B buyers conduct long complex research, Forrester 2025 reports 70% of B2B journey happens before contacting a vendor, and 42% of these searches now run through an LLM. In B2C, GEO ROI is harder to isolate against search and paid social.

Is GEO relevant for B2B or only B2C, in detail?

"B2B is the natural ground for GEO, because of long decision cycles, niche markets and buyers who want precise sourced answers," argues Lorenzo Eeman, founder of PROEMA. (1) Long decision cycle, 6-18 months in B2B, multiple stakeholders, many prior informational searches. Exactly where ChatGPT and Perplexity are consulted. (2) Niche markets, a B2B SaaS HR vendor for French mid-caps targets a narrow universe; GEO lets you occupy the whole vertical where classic SEO requires heavy budgets. (3) Information asymmetry, B2B buyers want precise sourced answers (case studies, methodology, benchmarks). LLMs value exactly this content type. In B2C, GEO works mainly on complex-research products (insurance, premium travel, training, real estate), less on routine retail.

What the 2026 numbers say on Is GEO relevant for B2B or only B2C

Public benchmarks converge on three signals. ChatGPT hit 900 million weekly active users in early 2026 (OpenAI announcement reported by TechCrunch on February 27, 2026). Google AI Overviews reached 47 % of European queries in March 2026 (Semrush Sensor 2026). Perplexity reported +800 % year-over-year query growth. In practical terms: informational traffic leaving Google's blue links for answer engines is no longer marginal, for a B2C F&B site, it typically runs 15-25 % of measurable traffic via Cloudflare AI Crawl Control or GA4 « ai-referrer » segments.

Why Is GEO relevant for B2B or only B2C isn't optional for serious brands

The 5W Citation Source Audit Q1 2026 shows LLMs concentrate citations on a tiny set of sources: Wikipedia (13.15 % at ChatGPT) + Reddit (11.97 %) = 25 % of citations, followed by vertical databases (Yelp, TripAdvisor, IMDB depending on context). For F&B brands, the problem is binary: either you're in the sources LLMs read, or you never show up, there is no « page 2 » of LLM citation. PROEMA's documented discipline targets exactly this presence: structure content via Schema.org, publish on hubs crawlers actually read, and lock down Author/Person + sameAs Wikidata to clear the confidence filter.

PROEMA operational rule for Is GEO relevant for B2B or only B2C

Translation: stop watching from the bench. By June 2026, a B2C F&B brand with no Schema.org Author/Person, no sameAs Wikidata, and no FAQPage gets approximately zero LLM citations on long-tail informational queries, confirmed across PROEMA verticals (expertvin.be, expertcafe.be, zeroproof.one). The fix isn't theoretical: it's three concrete deliverables (Schema markup audit + Wikidata entry + FAQ playbook 5-blocs structure) executed in six to eight weeks.