Google Bard: What It Was and What Replaced It

Google Bard was the company’s first mainstream AI chatbot, launched in March 2023 as a fast follower to ChatGPT. Plenty of people still search for “Bard” today, even though the product hasn’t gone by that name since early 2024.

This guide covers what Bard actually was, why Google folded it into Gemini, what Gemini looks like now, and where it genuinely helps a business rather than where the marketing says it does. If you’re weighing up AI tools more broadly, ProfileTree’s guide to artificial intelligence for beginners is a useful starting point before you go further.

What Was Google Bard?

Bard was an experimental AI chatbot built on Google’s LaMDA architecture, later updated to PaLM 2. It was pitched as a conversational AI that could search the web, answer questions, and generate text on demand.

The launch was rocky. A demo video in February 2023 showed Bard giving an incorrect answer about the James Webb Space Telescope, and the clip wiped billions from Alphabet’s market value within hours of going public. Not the start Google wanted.

Even so, Bard built a substantial user base and was available in over 230 countries by late 2023. It was also one of the first AI assistants to offer live web access as standard, giving it a real edge over early ChatGPT releases that relied on fixed training data alone.

The Rebrand: From Bard to Gemini

Google retired the Bard name in February 2024 and rebranded the product as Gemini. This was more than a rename. The switch coincided with Gemini 1.0 Ultra, a genuinely more capable model built on a multimodal architecture from the ground up, rather than text-first with extras bolted on. At launch, the Gemini family was organised into three tiers: Ultra for complex reasoning, Pro for the app most people used day-to-day, and Nano for on-device features on phones that didn’t need a cloud connection.

That tiering has moved on. Google is now several generations further on the Gemini 3 family. It launched in November 2025 with Gemini 3 Pro and Gemini 3 Deep Think, followed by Gemini 3 Flash in December. Google DeepMind’s own model documentation lists Gemini 3.1 Pro as the current flagship reasoning model. Alongside it sits a run of faster, cheaper Flash releases, including Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. Axios reported in July 2026 that these were aimed squarely at high-volume, lower-cost workloads rather than benchmark headlines.

If you’d bookmarked bard.google.com, that address still redirects to gemini.google.com, and Bard conversation history was carried over for anyone logged into a Google account at the time of the switch.

What Gemini Can Do

Gemini’s headline feature is multimodality: text, images, audio, and code in one conversation. For a business, that means uploading a spreadsheet, describing what you need, and getting a structured answer instead of juggling separate tools for each step.

On text, it drafts, summarises, translates, and edits, and it holds context reasonably well across a long conversation. Its Search integration means answers can draw on current information rather than a static training set with a hard cutoff.

Code generation is a genuine strength, particularly for Python and JavaScript: writing functions, explaining existing code, and debugging a block you paste in. It won’t replace a developer on a serious project, but it handles routine scripting well. Our piece on AI in business processes covers where this kind of automation earns its keep.

Image understanding lets Gemini describe photos, read text from images, and answer questions about visual content, so photographing a printed document and asking it to pull out the key details beats transcribing by hand.

Gemini for Business: Where It Actually Helps

Gemini works well for some tasks and poorly for others, and the businesses getting the most out of it are honest about which is which.

For content drafting, it’s a useful first pass on blog posts, newsletters, product descriptions, and social copy. It won’t hand you publication-ready work, but it shortens the gap between blank page and workable draft, which matters if you’re producing content every week.

“The businesses we train on AI tools get the most value when they treat Gemini as a first-draft colleague, not a finished-content machine,” says Ciaran Connolly, founder of ProfileTree. “The output needs a human editor who knows the brand, the audience, and what the business actually wants to say.”

It’s also solid for research and summarisation: pulling together a topic overview, condensing a long document, comparing sources for background work and competitor monitoring.

Where it fits most naturally is Google Workspace. Gemini is now built into Docs, Sheets, Gmail, and Slides, so you can summarise an email thread, draft a meeting agenda from notes, or reply to a client query without leaving Gmail. Teams new to any of this get more out of it with structured, practical AI training courses rather than trial and error.

For customer service, Gemini can draft responses to common queries and spot patterns in feedback, though a human should review anything before it reaches a customer. Businesses that want this handled properly, with escalation paths and brand-safe scripting, are usually better served by a dedicated AI chatbot setup than by a general-purpose assistant on its own.

Gemini’s Limitations

No AI assistant gets everything right, and Gemini is no exception.

Hallucination is still a real problem, especially for specific statistics, recent events, or niche topics. Verify any factual claim against a primary source before it goes into published content or a business decision. If your business publishes AI-assisted content regularly, it’s worth understanding how AI content detection works and what it can and can’t tell you about a piece of text.

Specialised domains need expert eyes regardless of how confident the output sounds. Legal advice, medical information, and sector-specific technical content all fall into this category.

Long documents can lose coherence: past roughly 2,000 words or across complex multi-section work, Gemini sometimes contradicts itself. Splitting the task into sections and reviewing each separately produces better results than asking for a single long draft in one go.

Privacy matters too. Conversations may be reviewed by Google to improve the model unless you’re on an enterprise plan with data protection guarantees, so sensitive business information and client data have no place in the consumer version.

How Gemini Compares to Other AI Assistants

The gap between leading AI assistants has narrowed a lot since 2023, and the right tool usually comes down to your existing software and specific use cases rather than headline capabilities.

Gemini’s clearest edge is its integration with Search and Workspace. If your business already runs on Google tools, it slots into that workflow with no extra setup, and it handles current information better than models built on static datasets.

Other tools have historically had the edge on coding and structured reasoning. That gap keeps closing, so it’s worth testing more than one tool against your actual requirements rather than picking on reputation alone.

This changes fast. A real capability gap in one quarter can close by the next, so treat any comparison as a snapshot rather than a permanent ranking.

What This Means for AI Strategy in Your Business

For most SMEs, the question isn’t really which assistant is objectively best. It’s which tools fit your existing systems, which your team will actually use, and whether the output is good enough after editing.

Gemini makes sense as a starting point if you’re already on Google Workspace, since the integration cuts friction and the interface is familiar. On Microsoft 365, Copilot is usually the more natural fit for the same reason.

The most common mistake is treating these tools as a replacement for human judgment rather than as an assistant to it. Someone who understands the task still needs to direct the tool, check the output, and own the result.

Getting Started with Gemini

Gemini is free at gemini.google.com with a Google account. Gemini Advanced adds the Ultra model and Workspace integration through a Google One subscription.

Gemini is free at gemini.google.com for Google account holders, with daily usage limits on the free tier.

Paid access now sits under the Google AI banner rather than the old “Gemini Advanced” name. According to Google’s own subscription page, there are three consumer tiers: Google AI Plus, Google AI Pro (which unlocks Gemini 3.1 Pro, Deep Research, and Veo video generation), and Google AI Ultra for the highest usage limits. Google’s I/O 2026 announcement confirmed Ultra pricing was cut from $250 to $199.99 a month, alongside a new $99.99 entry-level Ultra tier aimed at developers and advanced creators.

For business use, Gemini for Google Workspace is licensed separately and includes data protection terms, admin controls, and integration with Docs, Sheets, Gmail, Slides, and Meet. If your team will use AI on client-facing or sensitive work, the Workspace version earns its cost on data handling alone.

Before rolling any AI tool out across a team, run a small pilot: test it against three or four real tasks from your workflow, note where it saves time and where it doesn’t hold up, and build in review steps before a wider rollout. ProfileTree’s overcoming AI implementation challenges guide walks through the common failure points, and ProfileTree’s digital marketing services team can help map out where AI genuinely fits your content and marketing operations.

FAQs

Here are a few quick answers to the questions we hear most often about Bard and Gemini.