From one name among many to the most-mentioned brand in its category. AI platforms knew Corovita but rarely recommended it on open buying questions. In 90 days the mention rate almost doubled, with almost no newly published content. Entity grounding, community answers and source corrections made the difference.
1.8×
Mention rate: 10.9% → 19.8% across all tracked questions
54 → 3
Brand mix-ups per month, May → July
#1
Most recommended brand in the observed question set, in every month of the program
12
Community answers placed in threads the AI already cites
Starting point · Day 0
Known, but not recommended. On brand questions the platforms answered correctly. On open buying questions they named competitors, and in 54 answers a month Corovita was confused with another brand.
Tracked buyer questions · Day 0
Sourcing & partnership (B2B trade) · 0%
Not namedBulk sizes for households · 0%
Not namedTasting journey (connoisseur sets) · 15.0%
1 of 3 answersMediterranean package · 60%
NamedMild Turkey collection · ~35%
NamedInvisible on open buying questions
In the B2B sourcing questions of store managers and franchise partners, Corovita was named in 0% of the answers in the first week; in the bulk-size topic, 0% as well.
Confusion instead of a mention
54 times in May, Corovita was mixed up with similarly named brands from other industries (Colavita, Corvidae). The entity was not cleanly anchored.
8 of 10 trust anchors were missing
No Wikidata entry, no verified LinkedIn, no Trustpilot profile: the models had nowhere to look the entity up.
What we did
Three phases, sources instead of pages, hardly any new content. The focus was on the sources models cite: entities, community threads, publisher corrections. Every measure was measured weekly against the baseline.
Baseline
+Tracking across 152 customer questions, 5 platforms, weekly
+8 buyer personas, 7 offers, 3 markets, 205 keywords set up
+54 misattributions identified in May, sources corrected
Build
+Wikidata entity created and completed (May 20)
+12 community answers placed in threads the AI cites (r/oliveoil, r/Kochen, r/germany …)
+8 publisher corrections, 61 briefs, 13 drafts written
Proof
+Before/after per topic and platform
+B2B sourcing from 0% to 8.6%, tasting journey from 15.0% to 22.5%
+Next 90 days: Google AI Overviews, the 13 waiting drafts, the missing anchors
Result · Day 90
Mention rate from 10.9% to 19.8%, across all questions and platforms. The most recommended brand in the observed question set in every month of the program, ahead of Mani Bläuel, Rapunzel, Oelea and Jordan. Mix-ups fell from 54 to 3 a month. Google AI Overviews remains the open field.
Cited sources · Day 0
Cited sources · Day 90
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