AI chatbots comparison test: ChatGPT is the most verbally dextrous, Bing is best for getting information from the web, and Bard is surprisingly limited
The web is full of chattering bots, but which is the most useful and for what? We compare Bard, Bing, and ChatGPT.
Context & Ripple Effects
This test lands days after Google's US/UK waitlist hands-on with Bard, which already flagged the bot as quick and fluid but more constrained than Bing, with three responses per query and heavy disclaimers. The Verge's verdict makes that constraint a ranking: Bard is 'surprisingly limited' against ChatGPT's verbal dexterity and Bing's web retrieval — a rough start for the service Google debuted in February as its answer to ChatGPT.
It also sets up the arc the later coverage traces: an FT comparison in April split the same two bots by strengths, a June survey of 2,000+ US adults found Bard trailing ChatGPT and Bing in both awareness and use, and by December Gemini-powered Bard had narrowed but not closed the gap. The March test is the baseline against which Google's catch-up is measured.
First-order effects
- Bing's web-connected answers become its differentiator: Microsoft's bot wins the retrieval category even as ChatGPT takes fluency, giving each player a distinct claim rather than one clear overall winner.
- Bard's 'surprisingly limited' rating lands directly on Google's launch narrative, reinforcing the waitlist-era constraints (three responses per query, disclaimers) that the hands-on review had already documented.
Second-order effects
- Google's response is visible in the later corpus: the December test shows Gemini-powered Bard improving across factual retrieval, summarization, creative writing, and coding — closing the gap with ChatGPT, though not as decisively as the April comparisons suggested it needed to.
- OpenAI is pulled toward Bing's strength: by late 2024, ChatGPT Search competes on web retrieval, though TechCrunch finds it unreliable on short queries — the category Bing won in this test is now contested.
Third-order effects
- The comparison pattern — fluency, retrieval, and constraints ranked separately — pushes chatbot competition toward specialization rather than a single winner, with each lab defending a category (OpenAI depth, Microsoft web access, Google integration).
- The gap between awareness and use in the June survey (57% know ChatGPT, only ~33% have used the tools) means these editorial verdicts shape first impressions for a mostly-untried public, making benchmark coverage a real distribution battleground.
The trend: Consumer chatbots are differentiating into distinct strengths — conversational fluency versus web retrieval — with benchmark coverage, not marketing, setting each player's public position.