u/AlexatEmergineAI

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[ Removed by Reddit on account of violating the content policy. ]

We've been tuning our GEO tool by experimenting with industry-specific GEO rankings. Some interesting (at least to us) are coming out of it, wanted to share.

Setup: we set up our platform (Emergine, a GEO tracking tool) to continuously monitor 13 industrial electrical brands by running 20 purchase-intent prompts (PLC selection, terminal blocks, I/O modules, safety controllers, power supplies) against ChatGPT and DeepSeek (2 models in our every day, logging every mention, answer position and citation. The numbers below are for this past week (~260 AI answers for each model)

1. Brand size did not predict visibility. Siemens led as expected (43.1% mention rate), but Schneider Electric, a company many times the size of brands that beat it, appeared in 6.9% of answers for 7th place on average. Meanwhile mid-size specialists like WAGO (30.8%) and Weidmuller (18.8%) ran far ahead of it.

2. Citation data is one clue why - Models cited only 7 distinct sources when discussing Schneider all week, and the association rate (how often a cited page actually links the brand to a recommendation) was nil for every one. Phoenix Contact is the opposite case: 66 citations to their own domain, a 42.4% domain rate, and the best average answer position in the category (1.87, ahead of Siemens). Whether intentional or not, their application guides and product docs already read like ready-made AI answers.

3. Chat and Deepseek disagree hard. WAGO appears in 39.2% of ChatGPT answers vs 23.6% on DeepSeek, but its share of recommendation is flipped, 35.2% on ChatGPT, 58.4% on DS. The most-cited domain in the entire dataset was gongkong.com, a Chinese industrial media site, with 169 citations. This goes to show that brand with no footprint in Chinese trade media is mostly invisible to Chinese engines. For an industry where a decent part of your supply chain specialists are in China, this is pretty huge.

4. Domain fragmentation hurts. OMRON splits its web presence across four regional domains (eu, ap, com.cn, com). Each earned 1-2 citations. OMRON's answer position was 5.11, worst of the major brands. Consolidated domains appear to compound citation authority while fragmented ones dilute it.

5. Two of the 13 brands had Zero mentions in 260 answers.

Because the monitoring is continuous we can also see week-over-week movement, of course positions shift a lot.

I have a blog post on it at emergine.ai/blog If this is interesting to you we're happy to share the prompt list or go deeper on methodology. Also genuinely curious whether anyone has seen the engine-divergence pattern in other categories, because we suspect it is bigger in industrial B2B than in consumer.