To get the best out of InferenceCloud it is helpful to understand some of the principles we apply to create highly focused and detailed content. Here is a very short explainer:
Using Strategy Explorer to research topics and audiences loads our conversational graph with a detailed understanding of the connections between your audience, topic and communication objective.
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InferenceCloud uses this information to structure communication plans and content. Selecting previously researched topics from Strategy Explorer ensures that the system knows where to focus.
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It can be tempting to select a large number of topics. Generally we do not recommend this - trying to write about everything can result in unfocused content as the system tries to address every single need and angle. If you can, keep the focus more narrow to create more exacting content.
InferenceCloud does not create content based on generic training data. Our content and planning is based only on your very specific talking points. We do this to ensure that we are only talking about the facts and opinions that you want to talk about.
Whilst it may take some time to prepare insights this ultimately results in significantly more aligned and quality content.
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Insight miner makes it quick and easy to create high quality talking points from existing background material
See Insight Miner
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The more the better!
To make sure that InferenceCloud has enough to talk about it is helpful to provide as many insights as possible. Providing very limited information results in very sparse content. Providing comprehensive information allows the system to select exactly the right statements and facts to create engaging and highly audience specific content.
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If in doubt try to add more! Typically 300-600 insights works well. This may sound like a lot but can easily be achieved by uploading some detailed background material into Insight Miner.
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Have a look through our FAQ section or contact support directly via [email protected].