GOOGLE GUIDE

Gemini & Google AI

AI woven into the tools your organisation already uses

What is Google for business?

Google's Gemini platform is the most deeply integrated AI ecosystem for organisations already running Google Workspace. Gemini models power AI features across Gmail, Docs, Sheets, and Meet — as well as standalone research tools like NotebookLM and Deep Research. With a two-million-token context window in Gemini 2.5 Pro, it handles document volumes no other consumer platform can match.

Native integration with Google Workspace — Gmail, Docs, Sheets, Meet, and Drive
2M token context window in Gemini 2.5 Pro — process entire report libraries at once
NotebookLM is the best AI research tool for document-heavy knowledge work
Deep Research produces comprehensive, cited research reports autonomously

ECOSYSTEM MAP

The Google ecosystem, mapped.

Every tool in the Google suite — what it does, which plan you need, and how the pieces fit together.

TOOL GUIDE

What each tool does.

Models

Gemini 2.5 Pro

Paid / Pro

Best for: Massive document analysis and reasoning

Gemini 2.5 Pro's two-million-token context window is its defining capability — it can process entire codebases, legal archives, or report libraries in a single conversation. Strong at reasoning, multimodal inputs, and tasks requiring sustained attention across very large documents. Available via Google One AI Premium.

Gemini 2.5 Flash

Free tier

Best for: Fast, efficient everyday tasks

A lighter, faster model optimised for speed and cost efficiency. Gemini Flash handles the majority of everyday tasks — summarising, drafting, translating, and classifying — at a fraction of the compute cost of Pro. Available free and embedded in most Workspace features.

Gemini 2.5 Ultra

Enterprise

Best for: Google's most capable frontier model

Gemini Ultra is Google's highest-capability model, available through Google Cloud and enterprise agreements. It leads Google's benchmark performance on complex reasoning, multimodal understanding, and scientific tasks. Deployed via Vertex AI for enterprise use cases requiring maximum capability.

Workspace

Gemini in Gmail

Paid / Pro

Best for: Email drafting, summarising, and replies

Gemini in Gmail drafts replies, summarises long threads, and helps compose messages from bullet points. Particularly useful for high-volume email communication — client follow-ups, agency briefs, and internal updates drafted in seconds rather than minutes.

Gemini in Docs

Paid / Pro

Best for: Document writing and structured rewriting

Gemini in Docs acts as a writing partner directly within Google Docs — generating first drafts from prompts, rewriting sections, summarising long documents, and maintaining consistency across a report. Particularly strong for teams producing regular structured reports and client deliverables.

Gemini in Sheets

Paid / Pro

Best for: Data analysis and formula generation

Gemini in Sheets analyses data, generates complex formulas from plain-English descriptions, creates data summaries, and spots trends across large spreadsheets. It eliminates the need for advanced Sheets knowledge for many common analytical tasks.

Gemini in Meet

Paid / Pro

Best for: Meeting notes, summaries, and action items

Gemini in Meet automatically generates real-time meeting notes, participant summaries, and structured action items during or after calls. Eliminates manual note-taking and ensures every decision and follow-up from a meeting is captured and attributed correctly.

Research

NotebookLM

Free tier

Best for: AI research from your own documents

NotebookLM is a unique AI research tool — you upload your own sources (PDFs, reports, slides, URLs) and it becomes an expert on exactly those documents. Ask questions, generate summaries, identify key themes, and get cited answers pulled directly from your uploaded material. No hallucination of external knowledge.

Deep Research

Paid / Pro

Best for: Autonomous, comprehensive research reports

Deep Research autonomously searches the web across dozens of sources, synthesises findings, and produces a comprehensive structured report with citations — in the time it would take a human researcher to open three browser tabs. Produces the equivalent of a full research brief in 3–5 minutes.

Build

Vertex AI

Enterprise

Best for: Enterprise AI development and deployment

Google's enterprise ML and AI platform for building, training, and deploying AI models at scale. Hosts Gemini models via API, supports fine-tuning, and integrates with the broader Google Cloud data infrastructure. Used by engineering teams building production AI systems rather than end-user tools.

Gemini API

Enterprise

Best for: Developer access to Gemini models

The Gemini API provides developer access to all Gemini model variants via Google AI Studio and Google Cloud. Enables integration into existing applications, automated pipelines, and custom tools — with pay-per-token pricing and enterprise SLAs for production workloads.

IN PRACTICE

Google at work: real scenarios.

FINANCIAL SERVICES

The situation

Equity analysts at a funds management firm need to cross-reference 10–15 company annual reports to build comparative investment analyses. Current process: 2–3 days of reading and tabulation per report set.

The result

All annual reports are uploaded to NotebookLM. The team queries the collection as a single interactive document — pulling revenue figures, management commentary, and risk disclosures instantly, with citations. Comparative analysis built in two hours versus two days. Analyst time redirected to investment conclusions rather than data extraction.

MARKETING

The situation

An in-house marketing team of eight communicates with three agencies across 200+ email threads monthly. Brief writing and agency coordination alone consumes 30+ hours per month of senior marketing time.

The result

Brief templates structured in Docs, email responses drafted by Gemini in Gmail, meeting summaries auto-generated in Meet. The team reclaims 18 hours per month on administrative communications. Brief quality improves through structured AI-guided prompting, and agency revision rounds reduce.

RETAIL

The situation

Category managers maintain 15 spreadsheets tracking stock, promotional performance, and supplier pricing across four regions. Weekly report preparation takes each manager six hours every Friday.

The result

Gemini in Sheets generates weekly performance summaries from raw data, flags anomalies against targets, and explains the logic behind suggested formulas. Category managers spend time on decisions rather than data wrangling. Weekly reporting time drops from six hours to 90 minutes.

PROFESSIONAL SERVICES

The situation

Management consultants need comprehensive market entry reports for clients entering new geographies — typically requiring three to four days of desktop research before primary research begins.

The result

Deep Research autonomously synthesises 40–60 web sources into a structured market entry brief covering the competitive landscape, regulatory environment, and go-to-market landscape with full citations. First draft produced in under four hours. Consultants focus their time on interpretation, client context, and primary interviews.

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