Google is in an odd position in AI: it’s a provider you might buy tools from, and also the front door through which your customers find you. Most of it goes by the name Gemini: the chatbot app, the assistant inside Workspace, the models developers rent, and the engine behind AI answers in Search. Alphabet reported the Gemini app passing 950 million monthly users at its Q2 2026 earnings, and Pew’s February 2026 survey put it second among US adults at 24%, behind only ChatGPT.
What you are buying
Google sells five things under the AI banner, and a small firm usually needs one or two of them.
- Gemini in Google Workspace: drafting, summarising and answering inside Gmail, Docs, Sheets and Meet, under your existing Workspace agreement. For a Workspace firm this is the shortest route to useful AI, because it turns up where the work already is and follows your organisation’s admin controls.
- The Gemini app: Google’s equivalent of ChatGPT, on web and mobile, in free and paid tiers. Signed in with a business Workspace account it runs under organisational terms rather than consumer ones, and that’s the version a firm should use.
- The API and cloud tiers: Gemini models rented per use for building your own systems, from fast and cheap up to the most capable. The free evaluation tier is generous, which is one reason Gemini is a common backup engine. In the systems I build, if the first-choice model fails, the request goes to Gemini automatically.
- Gemma: Google’s open-weight model family, which you can run on your own infrastructure. That belongs in the open-weight guide rather than here.
- NotebookLM: Google’s research notebook, and one of its most useful business products. You upload your own documents and it answers only from them, with citations back to the exact passage, plus summaries and its well-known audio overviews. For making sense of a pile of papers, from a due-diligence bundle to a policy set, it’s often the right Google tool before Gemini itself. Answering only from your own sources is the same discipline this site recommends for customer-facing bots.
Which Google surface fits which job:
| Surface | Reach for it when |
|---|---|
| Gemini in Workspace | The work is already in Gmail, Docs, Sheets or Meet |
| The Gemini app | General assistant use under your organisation’s terms |
| NotebookLM | A pile of your own documents needs understanding, with citations |
| The API / cloud tiers | You are building automations or need a fallback engine |
| Gemma (open-weight) | The work must run on infrastructure you control |
What it does well
Gemini’s main strength for a firm is that it sits inside the tools you already use.
- Being where the work is. Summarise this thread in Gmail, draft this document in Docs, make sense of this Sheet, recap this meeting. The benefit is not having to copy anything anywhere.
- Images, audio and video. It handles all three well, which helps firms dealing with scanned documents, photos of paperwork or recordings.
- Long documents. It can read whole files at once, the same thing that makes Claude strong on documents. Which one writes better for you is quick to test with five of your own tasks. In our benchmark, Gemini took the tone-and-nuance wins.
The caution is the same as for every provider: it can be fluent and wrong, so a person approves anything that leaves the firm. The realistic limits guide goes into why.
The search side
Google now opens many results pages with an AI answer instead of ten links, and for your marketing that matters more than anything Gemini does in the office. The question is no longer only “do we rank?” but “do the AI answers cite us?”. Pages built to be cited, with clear structure and real information instead of filler, are how this site approaches it. That’s worth thinking about for your own site whether or not Gemini ever becomes your office assistant, and it’s part of how we run managed websites.
The data questions
On Workspace business plans, Google commits that customer data isn’t used to train models outside your organisation, and processing falls under your existing Workspace data processing terms. Confirm the specifics for your plan and keep the paperwork with your DPIA.
The consumer Gemini app on a personal Google account carries none of those assurances. That’s exactly the line between approved and personal accounts your AI policy should draw. The UK governance guide covers the obligations around it.