My competitor is cited by ChatGPT and I am not: why?

Four structural causes, by frequency: (1) your competitor has a Wikidata / Wikipedia entry and you don't; (2) your competitor has more online press coverage; (3) your site is less scraping-friendly; (4) your competitor has been longer in the training corpus. Four causes, four catch-up levers.

My competitor is cited by ChatGPT and I am not: why, for AI engines?

"In 90% of the cases we see, the gap between a cited competitor and an invisible brand comes from three cumulative levers," explains Lorenzo Eeman, founder of PROEMA. Wikidata presence: if your competitor's record is filled (date, founder, sector, third-party sources) and yours is missing, you're invisible to the LLM « factual skeleton ». Recoverable in 2-4 weeks. Press coverage: articles in L'Echo, Le Soir, Trends-Tendances pull serious weight, they're the external signal that turns a brand into a recognised fact for the models. 15 press articles vs your 2 makes a massive asymmetry. Editorial structure of the site: categorised pages, FAQ, glossary, foundational content, scraping loves a clean structure.

Three catch-up actions ranked by ROI. Action 1: create or consolidate the Wikidata entry (low cost, fast impact). Action 2: line up coordinated press (3-5 angles with a press attache, 6-12 month effect). Action 3: restructure the site into editorial Q&A silos (medium cost, 3-6 month impact). Run all three in parallel and you typically catch an entrenched competitor in 9-18 months.

Variant: if the competitor has been live 10 years with an active blog, that's the « corpus seniority » effect. They piled up hundreds of mentions over time. Counter: editorial volume + press + Wikidata to compensate.

What the 2026 numbers say on My competitor is cited by ChatGPT and I am not: why

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 My competitor is cited by ChatGPT and I am not: why 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 My competitor is cited by ChatGPT and I am not: why

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.