Getting the most from InferenceCloud

Your new colleague is eager to do the hard work for you, but sometimes needs a little guidance

These boxes contain the important information you need for optimizing InferenceCloud

For quick optimization of your results, these callout sections contain all the essential tips you need.

Simply compare your input against each piece of advice here, and we'll help you swiftly enhance your output.

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About this guide

While we've designed InferenceCloud to be user-friendly, we recognize that it introduces several new concepts. AI can be sensitive to specific types of input and guidance.

Think of it as riding a bicycle. It takes a bit of practice, but once you get going, it's a great way of getting around.

This guide offers a comprehensive walkthrough with tips to help you get the most out of InferenceCloud. We'll take you through a specific example, demonstrating how to research a topic, perform competitive analysis, mine research information, and create plans, content, and detailed creator briefings.

If you've already scrolled down this page, you'll see there's quite a bit of information. But don't worry—by working through your own example, we're confident we can quickly boost your efficiency and effectiveness.

Not much time? Just focus on these boxes!

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If you’ve come here because you want a quick input on improving your content output you can skip to The four most important things for quality content output

Contents

Getting started

InferenceCloud has two main parts:

Strategy & Research - is all about using AI to collect and analyze data that can inform high impact communications

Planning & Creation - uses this data to create plans, content and briefings

Accordingly we’ve split this guide into these two parts.

See these boxes for the most important tips. If you’ve no time to read anything else, read these!

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Part 1 - Strategy and Research

Good output starts with good input

InferenceCloud has three research modules

Strategy Explorer analyzes audience needs so your communications are 100% aligned with the audience

Insight Miner analyzes documents so that InferenceCloud has the knowledge it needs to plan and create content

Influence Mapper analyzes competitive messaging and media perception so that you can understand the pulse and optimize accordingly

These can be used in any order, but some scenarios are:

Understand the key customer topics of interest using Insight Miner to analyze pages and pages of customer briefing documents, then feed these topics into Strategy Explorer
Understand the topics that drive audiences in a specific area with Strategy Explorer, then research source materials with appropriate talking points using Insight Miner
Find out what competitors and the media are talking about using Influence Mapper then deep dive those topics with Strategy Explorer to find a better communication strategy