Introducing BrandGuard Everywhere

Using BrandGuard everywhere you generate content

The point of a brand governance platform is to enforce your brand guidelines everywhere you work. If you are like most marketing organizations, you are using many applications in your marketing stack. You probably work in Figma, Canva, Adobe, Marketo, Hubspot, Mailchimp, Salesforce, and another dozen or so tools. Some of these tools have realized that brand guidelines matter and have provided a way for you to upload sample content so they can do a better job generating marketing content that is on brand.

The problem though, is that you are going to use dozens of tools. Some of those tools will have brand guideline functionality and some won’t. And even if all of them did, you now have to maintain updated brand guidelines in each place. Plus they all may have slightly different models of your brand based on the data they have and how they train them. It defeats the whole purpose of branding. You want consistency.

At BrandGuard, we don’t do any generation. We focus 100% of our efforts on being the best in the world at brand governance. This focus allowed us to build an ensemble of 36 different AI models that check against various aspects of your brand guidelines and previous branded content you’ve submitted, with more coming all the time! To live up to that goal of being the world’s number one brand governance platform, we have to make BrandGuard available everywhere you work. Today we are announcing the beta availability of our chrome plugin for BrandGuard as a step in that direction.

Using the chrome plugin, you can select an asset in almost any application and get a score for how much it lives and breathes your brand values. We teased this functionality in our Budweiser post last week, but today we are launching it publicly so anyone can use the plugin. Below are some examples.

Here is a model for Vans shoes being scored against a picture of a Nike shoe in Shutterstock. This easily fails because of the Nike logo.

Now below is a Vans shoe scored from the Shutterstock site. Interestingly enough, the “on-brandedness” model only picks it as 77% on brand for Vans, but the overall score is higher. Our BrandGuard score is made up of dozens of models so, the overall score reflects that.

Now let’s try something with the plugin a little different and show how it fails. Let’s generate an image of a woman in some sporty clothing and test it against a non-sporty brand. Below we tried Ann Taylor. As you can see, the model scored this as only 24% on-brand for Ann Taylor, and an overall BrandGuard score of 50%.

If you want to try the plugin, it does require you to upload a handful of photos or ads for us to fine tune our branding model for your brand, but you can get going quickly. Best of all - it’s free to use in these types of situations.

If you want to make sure your branded assets are consistent across all channels and all customer segments, even as you have to respond rapidly and even as you start to embrace machine-generated content, BrandGuard can be that guardian of your brand. Training the models is quick and easy, and BrandGuard works everywhere you do. You can evaluate content in our web application, using the chrome plugin, or use the API to tie into other applications you may be using. If you want to learn more, download the chrome plugin at BrandGuard.ai, or contact sales@brandguard.ai for a demo.