We’ve been following the topic of artificial intelligence (AI) for many years, eagerly watching and waiting for the promise to meet some form of usable reality. But up until late 2022, with the release of the OpenAI powered ChatGPT, there has been a lot of talk and very little action. Or not enough action at an affordable price point.

But the November release of ChatGPT has seen an explosion of exploration and new use cases. One of the things to remember about ChatGPT is that it is limited to 2021 data – so asking it to produce written content based on more recent facts and data is not going to deliver good outcomes.

A listicle of ChatGPT martech platforms

As an example, here’s what happens when you ask ChatGPT about the top 10 marketing technology for marketers. It certainly feels like a step back in time – but can also help us see (perhaps), what the next few years of intense AI experimentation has in store.

1. Salesforce Einstein: Salesforce Einstein is a useful tool for marketers as it provides them with insights into customer behaviour and preferences. It helps marketers to personalize customer interactions, automate lead scoring, and provide predictive analytics, which can improve customer engagement and drive conversions.
2. IBM Watson: IBM Watson is a powerful AI platform that can analyze vast amounts of data and provide recommendations on how to optimize campaigns. This tool is particularly useful for marketers as it provides insights into customer behavior, preferences, and trends, which can help them to make data-driven decisions.
3. MarketMuse: MarketMuse is a useful tool for marketers as it helps them to create content that is optimized for search engines and audiences. By using natural language processing (NLP) to analyze content, MarketMuse can provide recommendations on how to improve the relevance, quality, and engagement of content.
4. Albert: Albert is an AI-powered marketing platform that helps marketers to optimize campaigns, targeting, and budget allocation in real-time. This tool is particularly useful for marketers as it can help them to automate campaign management and make data-driven decisions that can improve conversion rates and ROI.
5. Optimizely: Optimizely is a useful tool for marketers as it allows them to test different variations of their website or mobile app. By using machine learning to analyze results, Optimizely can provide recommendations on how to improve conversion rates, engagement, and user experience.
6. Acquisio: Acquisio is an AI-powered platform that helps marketers to optimize their online advertising campaigns across multiple channels. This tool is particularly useful for marketers as it provides insights into customer behavior, preferences, and trends, which can help them to optimize campaigns and improve ROI.
7. Persado: Persado is a useful tool for marketers as it helps them to create emotionally resonant marketing messages that are more likely to drive engagement and conversions. By using machine learning to analyze language patterns, Persado can provide recommendations on how to improve messaging and increase the effectiveness of marketing campaigns.
8. Mintigo: Mintigo is a useful tool for marketers as it provides predictive analytics on customer behavior and preferences. This tool is particularly useful for marketers as it helps them to identify customer segments and target them with personalized messaging, which can improve engagement and drive conversions.
9. Phrasee: Phrasee is a useful tool for marketers as it helps them to optimize their email subject lines and other marketing messages. By using NLP and machine learning to analyze language patterns, Phrasee can provide recommendations on how to improve messaging and increase open rates and click-through rates.
10. Hubspot: Hubspot is a useful tool for marketers as it provides them with a suite of AI-powered marketing tools that can automate lead generation, manage email campaigns, and analyze customer behavior. This tool is particularly useful for marketers as it can help them to improve engagement, increase conversions, and save time and resources.

But the future of martech looks more like integration!

What do you think? Are all the platforms competing around the same repetitive keywords?

Just look at the recent announcements by Google and Microsoft who are now obviously going head-to-head around generated AI for the workplace. This from Google:

We’re bringing the power of generative AI to developers and businesses through Google Cloud and MakerSuite. And we’re introducing new AI-powered features in Google Workspace.

And this from Microsoft:

Microsoft is announcing a new AI-powered Copilot for its Microsoft 365 apps and services today, designed to assist people with generating documents, emails, presentations, and much more.

So already, a shift is here. Not so much focus on standalone products – much more focus on integrated use cases with existing technology – helping people to do their jobs better and faster. Sounds like a good problem to solve.