31 stories
Parse embedded how AI describes 176 brands and measured the distance between them. Most brands are distinct, but a measurable minority collapse into near-twins, and they do it for two specific reasons you can check for your own brand.
Parse traced 743,998 brand mentions across ChatGPT Search and Google AI Mode. Of every brand AI named, 73% held some recommendation slot, but only 13% were the top pick. Being mentioned is nearly automatic; being recommended is not.
Parse pulled every adjective AI attached to 67,013 brands in 30 days. 85% were positive and most were interchangeable praise. The AI visibility asset is not being liked, it is owning one specific word.
Parse measured how contested 2,661 buyer questions are across ChatGPT and Google AI Overviews. The median question has 10 brands competing, the leader holds under a quarter of recommendations, and the questions AI answers most are the hardest to win.
Parse checked every brand ChatGPT and Google AI Overviews recommended across 16,206 shared questions. 74% appeared on only one engine, a single point of failure most brands cannot see.
Parse re-ran more than 16,000 questions about 22 times each on ChatGPT and Google AI Overviews. Two answers to the same question shared only about a fifth of their cited sources, and software, AI, and commerce churned the hardest.
Parse traced 6.2 million sources sitting behind AI brand recommendations on ChatGPT and Google AI Overviews. The evidence lives on platforms brands don't own, led by Reddit and YouTube, and which sources do the work splits by AI vendor.
Parse ran the same 18,206 buyer questions through ChatGPT Search and Google AI Mode. They named many of the same brands but shared only 6% of the sources they cited, and AI Mode cited nearly four times as many sources per answer.
Of the 7,248 buyer questions Parse tracks AI fielding, 2,831 (39%) have no brand that owns the answer. The open space is concentrated in some industries and locked up in others.
When ChatGPT's flagship moved from gpt-5-2 to gpt-5-3, the sources it cited per answer fell from 23 to 12 across 16,161 prompts we run on both models. A control model held steady, so the cut was the upgrade, not our pipeline.
Parse's category-similarity graph shows AI's sense of 'adjacent' routinely crosses industry lines. Across 21,656 nearest-neighbor links among 1,805 tracked categories, 41.9% point to a different industry than the category sits in, which is where your real AI competitive set and your cross-sell…
Your analytics will never fully see AI's influence on revenue. A well-built self-reported attribution question is the instrument that closes the gap. Here is how to build it.
Rebranded, but AI keeps naming the old you? Here is why models lag, and the entity, schema, and earned-media playbook that makes AI cite your new name.
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