ChatGPT prompts: How to optimize for sales, marketing, writing and more

TacoBot has a distinct, quirky personality which helps to humanize the Taco Bell brand. Most interestingly, TacoBot can promote contextually relevant upsells (in this case, bacon) based on the user’s input. Ecommerce marketers can utilize this process to promote upsells and increase their store’s average order value (AOV). The purpose of the chatbot is not to bounce the shopper off to the page that might convert the fastest, but to deliver an authentic experience.

Silverback AI Chatbot is also working on providing a developer API that will allow companies to build and deploy fully customized agents tailored to their own use cases. Large corporations typically spend significant sums of money on market research, trying to narrow down their buyer personas and identify receptive markets. Chatbot logs will provide a wealth of data regarding who your ideal buyers are, what products they’re interested in and what common questions they have. According to a McKinsey survey, at least a third of activities could be automated in about 60% of occupations. For example, they can assist in the employee onboarding process, fielding screening questions, recording answers, and guiding new employees through company policies and protocols.

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• The more context there is to be known about a shopper, the better equipped will the chatbot in building a relationship.
• It is also a method of increasing consumer interaction ratings and improving overall consumer experiences for increased sales.
• HubSpot Marketing Free adds to the company’s tech stack alongside HubSpot Sales and HubSpot CRM — what they call the Growth Stack.
• A chatbot shouldn’t replace your sales team, but it can definitely assist them greatly.
• Features like the Discover Tab, Chat Extensions, Smart Replies, and M Suggestions are all designed to help companies gain visibility and reach a larger audience.

Its platform combines advanced conversational AI with integrated automation features to deliver consistent, context-aware interactions across communication channels. Silverback AI Chatbot serves a global client base across diverse industries. The AI Agents update is part of Silverback AI Chatbot’s broader vision to develop intelligent systems that support businesses in scaling their customer engagement strategies. Customization remains a core part of Silverback AI Chatbot’s approach. Businesses can configure AI Agents to match their specific operational needs, from defining agent objectives and tone of communication to setting rules for when human intervention is required.

Machine-Learning, Sales, Marketing

It means that the chatbot needs to be necessarily sophisticated, but the burden can be shared by the human as the journey toward the necessary sophistication unravels. A good chatbot has to satisfy some basic expectations like awareness of shopper history, demographics and profile, which can all be built from internal data if the shopper has been buying from you. The more context there is to be known about a shopper, the better equipped will the chatbot in building a relationship. With 1.2 billion active monthly users on Facebook Messenger, it’s easy to see the value businesses can gain by having a Messenger bot. Put your brand in front of 10,000+ tech and VC leaders across all three days of Disrupt 2025. Amplify your reach, spark real connections, and lead the innovation charge.

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Cindy Zhou, vice president and principal analyst at Constellation Research, told CMSWire the Facebook ad integration fills an important gap. She also liked the LinkedIn Sales Navigator integration because the lines between sales and marketing are blurring. And it’s not concern-free, as CMSWire author Oliver Guy pointed to connectivity, privacy, security and economic impact concerns for chatbots. HubSpot reported last week third-quarter earnings of $70.6 million, up 48 percent from the same quarter last year and an operating loss of $10 million, down from $13.3 million year-over-year.

With tools like ChatFuel, you can create multiple flows that are tailored to each consumer’s preferences – with no programming required. When you utilize segmentation, your chatbot can create a highly personalized experience for your visitors. Your chatbot’s communication style should be influenced by consumer data insights.

Salesforce took a step toward addressing these use cases last year, according to Bennett, with the introduction of the Einstein bot intro template. Available in beta, the intro template lets developers create chatbots for onboarding, with popular Salesforce actions like creating a case or a lead, looking up an order, and adding a comment to an existing case. Join leaders from Block, GSK, and SAP for an exclusive look at how autonomous agents are reshaping enterprise workflows – from real-time decision-making to end-to-end automation.

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This type of monitoring fits into marketing as the chatbot is directed to use rebuttals and upselling procedures to increase sales and entice consumers to try different products. With chatbots, businesses have begun to leverage the massive potential of artificial intelligence. By mimicking human conversations, chatbots can be used to gather data, drive sales, build rapport with customers and ultimately, humanize brands. In 2016, 8.3 percent of all retail sales in the US were conducted online. While it’s wonderful that technology has facilitated a thriving ecommerce industry, people still want to purchase from other humans instead of faceless corporations. A voice or keyword activated chatbot system can help create an all-inclusive shopping option for your consumers.

Shoppers wants to find answers to questions that menus and search bars cannot answer. And that is a hard problem because what cannot be found through a couple of clicks tend to be exceptions that, by definition, cannot be thought through already. Accessing SnapTravel through Facebook Messenger is easy because you don’t need to download an app. Users can directly message SnapTravel via Messenger to find a desirable hotel to book. All you have to do is send the bot a private message with your basic travel information, such as your destination, dates, and budget. “Bots are clearly the next wave in customer focused innovation, taking over the mantle from mobile apps.

When it quotes a rate, it will also show you the best available rate on Hotels.com for comparison. Sephora also reported that its Messenger bot has helped increase in-store sales. The retailer sees an average spend of over $50 from clients who have booked an in-store service via its Messenger assistant. The increasing attention on language biases comes as some within the AI community call for greater consideration of the effects of social hierarchies like racism. In a paper published last June, Microsoft researchers advocated for a closer examination and exploration of the relationships between language, power, and prejudice in their work. The paper also concluded that the research field generally lacks clear descriptions of bias and fails to explain how, why, and to whom specific bias is harmful.

This flexibility is intended to increase operational efficiency while maintaining a seamless user experience for customers. A number of resources and guides for ChatGPT prompt writing have sprung up since the tool’s launch. To help folks both new to ChatGPT and looking to learn new tricks, we’ve compiled a list of the best ChatGPT prompts for different types of workflows — specifically writing, marketing, sales, students and tech enthusiasts. It may seem odd to use a chatbot for marketing purposes, but by simply making a chatbot available on a company website – it’s marketing.

RASA NLU gives developers an open source solution for natural language processing

For instance, ‘Buy me an apple’ means something different from a mobile phone store, a grocery store and a trading platform. Combining NLU with semantics looks at the content of a conversation within the right context to think and act as a human agent would,” suggested Mehta. Recast.AI is a platform for implementing bot solutions with sophisticated NLP/NLU capabilities. The platform provides developer-friendly interfaces to determine intent and entities in natural language sentences. Additionally, Recast.AI includes a robust toolkit for training and improving NLP models based on user interactions.

Although it sounds (and is) complicated, it is this methodology that has been used to win the majority of the recent predictive analytics competitions. The Watson Developer Cloud provides several services focused on language processing. IBM’s Watson Conversation Service (WCS) is specially focused on automating interactions between systems and end users. Utilizing WCS, users can define NLP aspects such as intents and entities, and simulate entire conversations.

On that note, many are integrating NLP into their actual service offerings, simply because it can help clients more. Specially, NLP coaching has emerged as a new form of coaching since NLP helps clients break past limiting beliefs. Another example of someone who is using NLP in how they serve clients is Chayan Bhattacharyay, the founder of Innovsoltech, which is a cognitive process automation platform with NLP and NLU (neuro-linguistic understanding).

• Most of the other natural language APIs are free for tinkerers at the start and only start charging after a predetermined number of requests.
• Textio is all about “augmented writing.” The company’s technology is centered around helping organizations write better job postings by using data to score writing on a 100-point scale.
• By using NLP and NLU, machines are able to understand human speech and can respond appropriately, which, in turn, enables humans to interact with them using conversational, natural speech patterns.
• CMSWire’s Marketing & Customer Experience Leadership channel is the go-to hub for actionable research, editorial and opinion for CMOs, aspiring CMOs and today’s customer experience innovators.

NLP & NLU Enable Customers to Solve Problems in Their Own Words

Wit.ai is the platform behind the NLP/NLU capabilities of the Facebook Messenger platform. Facebook acquired Wit.ai in January 2015 and, since then, has rolled out major updates to the platform. One of the best capabilities of Wit.ai is the sophisticated toolkit that can be used to train the platform in new conversation models as well as monitor the interactions between users and the platform. The team agrees that right now we are struggling to find good use cases for bots. It doesn’t take a genius to realize that even the best conversational AIs available today are little more than glorified voice-activated remote controls. RASA won’t solve this, but it might make it easier for an unconventional player to get into the game.

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The idea is to use the robotic technology to help more companies better serve and retain their own customers. Google Natural Language (NL) API is a recent addition to Google Cloud focused on NLP and NLU capabilities. The NL API enables capabilities such as intent-entity detection, sentiment analysis, content classification and relationship graphs. The NL API also includes sophisticated tooling for training and authoring new NL models.

Regardless of recent developments in NLP/NLU technologies, we are still in the very early stages of the market. In the next few years, we can expect to see new language intelligence techniques that will streamline the conversational models between humans and systems. Bot technologies have been the immediate benefactors of the advancements in NLP/NLU platforms. As NLP/NLU platforms become smarter and more robust, bots will be able to leverage conversations as a new form of user interface for modern technology solutions.

Some NLP/NLU technologies that will make your bots language-intelligent

By using NLP and NLU, machines are able to understand human speech and can respond appropriately, which, in turn, enables humans to interact with them using conversational, natural speech patterns. CMSWire’s Marketing & Customer Experience Leadership channel is the go-to hub for actionable research, editorial and opinion for CMOs, aspiring CMOs and today’s customer experience innovators. Our dedicated editorial and research teams focus on bringing you the data and information you need to navigate today’s complex customer, organizational and technical landscapes.

Despite this, only 8% of data teams have completed NLP and NLU projects within their business that would enable them to fully unlock the value of their unstructured language data. More than a third (34%) of data teams have started activating plans for NLP projects. Nearly a quarter (24%) are still defining their plans but are not ready to activate them. LASTMILE’s team is based in Berlin, Germany but Weidauer and his co-founder Alan Nichol hope their project can bolster the entire bot ecosystem. In addition to RASA, the group has a dedicated product for enterprise customers. Since NLP can be understood and adapted by robotic technology, it’s simply a matter of listening, understanding, and repeating back the language that best communicates with a client’s neural pathways.

Join leaders from Block, GSK, and SAP for an exclusive look at how autonomous agents are reshaping enterprise workflows – from real-time decision-making to end-to-end automation. Most of the other natural language APIs are free for tinkerers at the start and only start charging after a predetermined number of requests. But, if you’re looking to push a bot to market you probably want more ownership over your product. Our sister community, Reworked, gathers the world’s leading employee experience and digital workplace professionals.

• Regardless of recent developments in NLP/NLU technologies, we are still in the very early stages of the market.
• But, if you’re looking to push a bot to market you probably want more ownership over your product.
• The combination of NLP and NLU technologies is becoming increasingly relevant in different software areas today, including bot technologies.
• Data has always been integral to enterprise business, but the rise of digital transformation has created a new sense of urgency around the ways in which it is managed, analyzed and governed.

In 2012, only 12% of large, data-intensive firms employed a CDO, whereas 65% do today, according to a NewVantage Partners survey. Put your brand in front of 10,000+ tech and VC leaders across all three days of Disrupt 2025. “RASA NLU is really just what you need beyond that prototyping phase,” explains Alexander Weidauer, co-founder of LASTMILE. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. The survey was conducted among data and analytics decision makers across the U.S.and Europe.

The Google NL platform is actively used by several high-profile services, such as Google Assistant. Pat is a newcomer to the NLP/NLU platform market focused on humanizing human-machine interactions. Functionally, Pat deviates from traditional statistical NLP models and focuses on leveraging neural network algorithms to correctly assign meaning to words in a sentence. As a result, the Pat platform is able to correctly analyze extremely complex natural language interactions. Gradient boosting works through the creation of weak prediction models sequentially in which each model attempts to predict the errors left over from the previous model. GBDT, more specifically, is an iterative algorithm that works by training a new regression tree for every iteration, which minimizes the residual that has been made by the previous iteration.

This has been leading to the greatest breakthroughs for clients, which is creating a clear separation between businesses and coaches who harness it and those who don’t. Because NLP specializes in improving communication, there’s no better way to put it to the test than in marketing and sales, where communication is critical. In a Forbes article by AJ Agrawal, a similarity is drawn to neuromarketing, which makes marketing more effective by invoking a gut reaction in customers and tapping into people’s desire for belonging. NLP is a technological process that facilitates the ability to convert text or speech into encoded, structured information.