Did the Grok-vs-GPT Ballot Test Change How Partisans See These Chatbots?

Did the Grok-vs-GPT Ballot Test Change How Partisans See These Chatbots?

Not measurably, at least not yet. The Convovo test showing Grok picking Republicans and GPT picking Democrats spread fast through tech media and aggregators after TechCrunch's October 24 report, but we found little verified grassroots reaction. What it did do is hand each partisan camp a ready-made story about "its" chatbot. Brands should treat that as a reputation risk worth tracking.

What exactly spread?

A single, very shareable split: when forced to name one candidate in nearly 500 U.S. midterm races, Grok 4.7 chose the Republican in 92% of answers and GPT-6.1 Sol chose the Democrat in 97%. TechCrunch broke the story, describing a test run by Convovo, a studio led by Cornell professor Tapan Parikh.

The details that travel less well:

• The prompt demanded a single name, and the queries went through developer APIs.
• The consumer apps declined to recommend a candidate.
• In a 30-race follow-up with search off, Grok refused in 27 races, while GPT still picked the Democrat in 24.
• OpenAI says the API test does not reflect ChatGPT's consumer behavior. xAI, now branded SpaceXAI, did not respond to TechCrunch.

That gap between the headline and the caveats is the core social-signal story here. A two-number result is easy to share. The fine print rarely survives a repost.

How far did the story travel, and where?

The story moved mainly through media and aggregator channels, not through visible community debate. In the three days after publication, we confirmed:

1. Tech and general outlets rewrote it, including IBTimes UK, Gadget Review, The AI Insider and heise.
2. Aggregators and translation sites republished it in several languages, including Spanish, German and Chinese versions.
3. Partisan-leaning blogs picked it up selectively. The progressive blog Joe.My.God. ran it under "Study: Grok Chooses Republicans 92% Of The Time," with a Musk photo and the GPT result left out of the headline.
4. Developer communities barely engaged. A Hacker News submission of Convovo's results page had 5 points and one comment when we checked.

What we could not verify: we did not find documented, attributable reactions from large conservative or progressive communities on X, Reddit or elsewhere, and no named commentator calling the study rigged or vindicating. Rather than guess, we're reporting that gap. It may change as the November 3 election gets closer.

Why does selective framing matter for Grok's and ChatGPT's reputations?

Selective framing matters because each half of the result confirms a story one side already tells. The Joe.My.God. post shows the pattern: it put Grok and Musk front and center and left out the OpenAI finding. A right-leaning outlet could just as easily lead with "GPT picks Democrats 97% of the time."

The background makes both stories easy to believe:

• TechCrunch notes that previous Grok models were found to consult Elon Musk's views on controversial questions, and that Musk has given heavily to GOP midterm candidates, according to Bloomberg.
• A 2025 Stanford-led study found users saw OpenAI's models as the most left-leaning of those tested.

So the test doesn't create new perceptions. It gives existing ones a number to cite.

Does this actually affect trust in chatbots?

It could, though direct evidence of impact is thin. Two data points matter:

• Usage is still small. Pew Research Center reports that just 8% of U.S. adults turn to chatbots for information about the 2026 elections.
• Perceived neutrality builds trust. In the Stanford study, users rated answers from models prompted to stay neutral as less biased and higher quality. They also trusted those answers more and said they were more likely to use the models.

Put together, the reputational stakes may be bigger than the electoral ones. Few people ask chatbots how to vote. But a viral "this AI is partisan" label can shape whether a whole community trusts that assistant for anything.

OpenAI's response, that consumer ChatGPT declines to answer, is a reasonable trust defense. xAI's silence leaves the 92% figure unanswered in every repost.

Should brands worry about being linked to a "biased" AI?

Yes, mainly in two ways: who you're seen partnering with, and how each model talks about you.

Association risk. If your brand runs a customer chatbot on one provider, promotes an integration, or co-markets with an AI company, a partisan label on that model can rub off. Watch your own mentions for that link before it becomes a talking point.

Description risk. This is the quieter issue. Convovo found the two models researched different topics and cited different sources for the same race. The same pattern can shape how each model sums up your company, your reviews and your controversies. Your reputation in Grok may not match your reputation in ChatGPT.

How should brands monitor this?

Brands should watch AI models the way they watch social platforms: separately, with an eye on sources. A workable routine:

1. Ask the same questions about your brand and category in each major model, and save the answers.
2. Note which sites each model cites. Partisan or low-quality sources are an early warning.
3. Track your mentions alongside AI providers' names when bias stories trend.
4. Prepare a short, neutral statement on which AI vendors you use and why.

MarkGrid's Model Share compares how different models describe and rank a brand side by side, and its GEO guide covers strengthening the sources those models draw on. For the full study, method and limitations, read MarkGrid's full breakdown of the Grok and GPT vote test.