Google’s position in AI is unlike anyone else’s: it is both a provider you might buy tools from and the front door through which your customers find you. Gemini is the name for most of it: 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
- 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 path to useful AI, because it appears where the work already is and inherits your organisation’s admin controls.
- The Gemini app: Google’s ChatGPT equivalent, on web and mobile, in free and paid tiers. Under a business Workspace account it operates under organisational terms rather than consumer ones, which is the version a firm should use.
- The API and cloud tiers: Gemini models rented per use for building your own systems, with a model range from fast and cheap to most capable. Google’s free evaluation tier is generous, which makes it a common second engine in well-built systems that need a fallback provider.
- Gemma: Google’s open-weight model family, which you can run on your own infrastructure. That option belongs to the open-weight conversation rather than this page.
- NotebookLM: Google’s research notebook, and quietly one of its best business products: upload your own documents and it answers only from them, with citations back to the exact passage, plus meeting-ready summaries and its well-known audio overviews. For “make sense of this pile of papers” work, from a due-diligence bundle to a policy set, it is frequently the right Google tool before Gemini proper, and the grounded-answers behaviour 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
- Proximity inside Workspace. Summarise this thread in Gmail, draft this document in Docs, make sense of this Sheet, recap this meeting: the win is being where the work already is.
- Multimodal work. Images, audio and video handled well: genuinely useful for firms processing scanned documents, photos of paperwork, or recordings.
- Long context. Whole-file reading is practical, the same property that makes Claude strong on documents; which writes better for your purposes is an empirical question your own five tasks answer quickly. In our benchmark, Gemini took the tone-and-nuance wins.
The standing caution is the same as for every provider: fluent wrongness happens, so a person approves anything that leaves the firm. See the realistic limits guide.
The search side
Google now leads many results pages with an AI answer rather than ten links. For your firm’s marketing this is the bigger Gemini fact: the question is no longer only “do we rank” but “do the AI answers cite us”. Content built to be cited, structured pages, real information rather than filler, is how this site approaches it, and it is a conversation worth having about your own site whether or not Gemini ever becomes your office assistant.
The data questions
For Workspace tiers, Google commits that customer data is not used to train models outside your organisation, and processing sits under your existing Workspace data processing terms; confirm your plan’s specifics and keep the paperwork with your DPIA. The consumer Gemini app under a personal Google account carries none of these assurances, which is exactly the approved-versus-personal-account line your policy should draw. The UK governance guide covers the surrounding obligations.
Where I fit in
I build on Gemini as well as its rivals, most often as the second engine in systems that must not depend on a single vendor. If your firm is on Workspace and wants the bundled Gemini turned into actual saved hours, or wants its website earning citations in Google’s AI answers, an Automation Audit is the practical starting point for the first and a conversation about Managed Websites is the starting point for the second.