# Best Natural Language Generation (NLG) Software for Small Business

  *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*

   Products classified in the overall Natural Language Generation (NLG) category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Natural Language Generation (NLG) to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Natural Language Generation (NLG) category.

In addition to qualifying for inclusion in the Natural Language Generation (NLG) Software category, to qualify for inclusion in the Small Business Natural Language Generation (NLG) Software category, a product must have at least 10 reviews left by a reviewer from a small business.




  
## How Many Natural Language Generation (NLG) Software Products Does G2 Track?
**Total Products under this Category:** 87

### Category Stats (May 2026)
- **Average Rating**: 4.44/5
- **New Reviews This Quarter**: 51
- **Buyer Segments**: Enterprise 35% │ Small-Business 33% │ Mid-Market 33%
- **Top Trending Product**: Google Cloud Translation API (+0.006)
*Last updated: May 18, 2026*

  
## How Does G2 Rank Natural Language Generation (NLG) Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 4,200+ Authentic Reviews
- 87+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

  
## Which Natural Language Generation (NLG) Software Is Best for Your Use Case?

- **Best for Small Businesses:** [Microsoft Copilot](https://www.g2.com/products/microsoft-microsoft-copilot/reviews)
- **Best for Mid-Market:** [Microsoft Copilot](https://www.g2.com/products/microsoft-microsoft-copilot/reviews)
- **Highest User Satisfaction:** [Microsoft Copilot](https://www.g2.com/products/microsoft-microsoft-copilot/reviews)
- **Best Free Software:** [Google Cloud Translation API](https://www.g2.com/products/google-cloud-translation-api/reviews)

  
  ## What Are the Top-Rated Natural Language Generation (NLG) Software Products in 2026?
### 1. [Microsoft Copilot](https://www.g2.com/products/microsoft-microsoft-copilot/reviews)
  Microsoft Copilot is an advanced AI-powered assistant designed to enhance productivity and streamline workflows across various Microsoft applications. By integrating seamlessly with tools like Word, Excel, PowerPoint, and Teams, Copilot offers intelligent suggestions, automates repetitive tasks, and provides real-time insights, enabling users to work more efficiently and creatively. Key Features and Functionality: - Intelligent Assistance: Copilot leverages advanced AI to understand context and provide relevant suggestions, helping users draft documents, create presentations, and analyze data more effectively. - Automation of Repetitive Tasks: By automating routine processes, Copilot reduces manual effort, allowing users to focus on more strategic activities. - Seamless Integration: Copilot integrates smoothly with Microsoft 365 applications, ensuring a cohesive user experience without the need for additional software. - Real-Time Collaboration: Enhances teamwork by offering real-time suggestions and insights during collaborative sessions in applications like Teams. - Data-Driven Insights: Analyzes data to provide actionable insights, aiding in informed decision-making and strategy development. Primary Value and User Benefits: Microsoft Copilot addresses the common challenges of time-consuming tasks and information overload by providing intelligent automation and insights. Users benefit from increased efficiency, reduced manual workload, and enhanced creativity. By streamlining workflows and offering real-time assistance, Copilot empowers professionals to focus on high-value tasks, ultimately driving productivity and innovation within organizations.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 271
**How Do G2 Users Rate Microsoft Copilot?**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.9/10)
- **Charts and Graphs:** 7.9/10 (Category avg: 7.8/10)
- **Tailored Content:** 8.8/10 (Category avg: 8.1/10)
- **Report Creation:** 8.4/10 (Category avg: 8.1/10)

**Who Is the Company Behind Microsoft Copilot?**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,115,342 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Who Uses This Product?**
  - **Who Uses This:** Software Engineer, Student
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 37% Small-Business, 32% Enterprise


#### What Are Microsoft Copilot's Pros and Cons?

**Pros:**

- Ease of Use (115 reviews)
- Efficiency (67 reviews)
- Helpful (65 reviews)
- Integrations (59 reviews)
- Useful (58 reviews)

**Cons:**

- Inaccuracy (61 reviews)
- Poor Understanding (43 reviews)
- Accuracy Issues (25 reviews)
- Context Understanding (24 reviews)
- Slow Performance (21 reviews)

### 2. [Google Cloud Translation API](https://www.g2.com/products/google-cloud-translation-api/reviews)
  Make your content and apps multilingual with fast, dynamic machine translation available in thousands of language pairs.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 325
**How Do G2 Users Rate Google Cloud Translation API?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10)
- **Charts and Graphs:** 8.1/10 (Category avg: 7.8/10)
- **Tailored Content:** 8.5/10 (Category avg: 8.1/10)
- **Report Creation:** 8.1/10 (Category avg: 8.1/10)

**Who Is the Company Behind Google Cloud Translation API?**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,911,199 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Who Uses This Product?**
  - **Who Uses This:** Software Engineer, Data Engineer
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 53% Small-Business, 24% Enterprise


#### What Are Google Cloud Translation API's Pros and Cons?

**Pros:**

- Translation Services (69 reviews)
- Ease of Use (62 reviews)
- Multilingual Support (47 reviews)
- Language Support (42 reviews)
- Accuracy (41 reviews)

**Cons:**

- Translation Accuracy (37 reviews)
- Expensive (33 reviews)
- Accuracy Issues (22 reviews)
- Translation Issues (18 reviews)
- Limited Language Support (17 reviews)

### 3. [Anyword](https://www.g2.com/products/anyword/reviews)
  Anyword is an AI-driven Copy Intelligence and Gen AI Platform used by over 1 million marketers at companies like Amazon, Greenhouse, and IBM, that empowers marketers to create scalable, on-brand content that converts and drives sales. Trained on billions of marketing data points, Anyword offers marketers powerful predictive performance scoring and analytics across channels to monitor and improve copy performance in real time. With Anyword, marketers save money on costly A/B testing and time by generating effective copy & messaging that fits your target audiences best and boosts performance.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 1,201
**How Do G2 Users Rate Anyword?**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10)
- **Charts and Graphs:** 8.2/10 (Category avg: 7.8/10)
- **Tailored Content:** 8.8/10 (Category avg: 8.1/10)
- **Report Creation:** 8.0/10 (Category avg: 8.1/10)

**Who Is the Company Behind Anyword?**

- **Seller:** [Anyword](https://www.g2.com/sellers/anyword)
- **Year Founded:** 2021
- **HQ Location:** New York, US
- **Twitter:** @getanyword (784 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/getanyword/ (539 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** CEO, Owner
  - **Top Industries:** Marketing and Advertising, Writing and Editing
  - **Company Size:** 92% Small-Business, 7% Mid-Market


#### What Are Anyword's Pros and Cons?

**Pros:**

- Ease of Use (14 reviews)
- Content Creation (12 reviews)
- Copywriting (7 reviews)
- Helpful (7 reviews)
- Time-saving (7 reviews)

**Cons:**

- Expensive (5 reviews)
- Content Quality (4 reviews)
- Editing Required (4 reviews)
- Poor Suggestions (4 reviews)
- Content Repetition (3 reviews)

### 4. [Quill](https://www.g2.com/products/narrative-science-quill/reviews)
  Quill is an intelligent automation platform that allows enterprise organizations to transform reporting workflows with natural language generation (NLG).


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 48
**How Do G2 Users Rate Quill?**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.9/10)
- **Charts and Graphs:** 8.8/10 (Category avg: 7.8/10)
- **Tailored Content:** 8.6/10 (Category avg: 8.1/10)
- **Report Creation:** 8.6/10 (Category avg: 8.1/10)

**Who Is the Company Behind Quill?**

- **Seller:** [Narrative Science](https://www.g2.com/sellers/narrative-science)
- **Year Founded:** 2010
- **HQ Location:** Chicago, Illinois
- **Twitter:** @tableau (173,448 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2252892/ (7 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services, Education Management
  - **Company Size:** 56% Small-Business, 38% Mid-Market


#### What Are Quill's Pros and Cons?

**Pros:**

- Ease of Use (1 reviews)


### 5. [Twin](https://www.g2.com/products/twin/reviews)
  Twin is automation platform that synthesizes human speech to develop conversational voice and chat bots.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 25
**How Do G2 Users Rate Twin?**

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10)
- **Charts and Graphs:** 8.5/10 (Category avg: 7.8/10)
- **Tailored Content:** 8.4/10 (Category avg: 8.1/10)
- **Report Creation:** 8.5/10 (Category avg: 8.1/10)

**Who Is the Company Behind Twin?**

- **Seller:** [Twin24](https://www.g2.com/sellers/twin24)
- **Year Founded:** 2016
- **HQ Location:** Москва , Московская
- **LinkedIn® Page:** https://www.linkedin.com/company/twin24-ai (73 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 60% Small-Business, 44% Mid-Market


### 6. [Wordsmith](https://www.g2.com/products/wordsmith/reviews)
  Wordsmith, the world’s first public natural language generation (NLG) engine. Wordsmith allows users to generate human-sounding narratives from data. The platform makes it easy to produce millions of personalized reports, articles, and narratives in the time it takes to write just one. Wordsmith helps companies in data-driven industries, including financial services, e-commerce, real estate, business intelligence, media and many others, achieve content scale, efficiency and personalization.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 17
**How Do G2 Users Rate Wordsmith?**

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10)
- **Charts and Graphs:** 5.0/10 (Category avg: 7.8/10)
- **Tailored Content:** 8.9/10 (Category avg: 8.1/10)
- **Report Creation:** 8.9/10 (Category avg: 8.1/10)

**Who Is the Company Behind Wordsmith?**

- **Seller:** [Automated Insights](https://www.g2.com/sellers/automated-insights)
- **Year Founded:** 2007
- **HQ Location:** Durham, NC
- **Twitter:** @AInsights (4,101 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2708220/ (1 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 65% Small-Business, 29% Mid-Market


#### What Are Wordsmith's Pros and Cons?

**Pros:**

- Accuracy (1 reviews)
- Customer Support (1 reviews)
- Ease of Use (1 reviews)
- Features (1 reviews)

**Cons:**

- Improvement Needed (1 reviews)

### 7. [axite](https://www.g2.com/products/axite/reviews)
  axite: Turn Product Content into a Growth Engine – Written by AI. Perfected by Results. axite defines a new software category at the heart of the GenAI movement: AI-Native Content Automation. It’s an intelligent system that creates, adapts, and scales product information with measurable performance feedback. Think: NLG + GenAI + Process Automation + Real-Time Optimization. Our AI-Native Content Automation platform, powered by a proprietary Performance Feedback Loop, PROVIDES a fully autonomous product content pipeline. We deliver: Always-on Content Generation: From structured data to optimized, on-brand copy, rewritten and translated for any market at scale. A Continuous Learning Loop: Content is continuously optimized based on insights from real-time SEO, conversion, and returns data, which are fed back to the editorial team and tool to refine the content strategy. Enterprise-Grade Governance: An AI-Supervised QA workflow ensures brand voice consistency, eliminates hallucinations, and injects customer-relevant knowledge, allowing humans to supervise the system, not manually edit every draft. Plug & Play AI Infrastructure: An API-first, headless architecture built to integrate seamlessly into your existing PIM, CMS, or commerce stack.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 50
**How Do G2 Users Rate axite?**

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10)
- **Charts and Graphs:** 6.4/10 (Category avg: 7.8/10)
- **Tailored Content:** 8.2/10 (Category avg: 8.1/10)
- **Report Creation:** 8.3/10 (Category avg: 8.1/10)

**Who Is the Company Behind axite?**

- **Seller:** [AX Semantics](https://www.g2.com/sellers/ax-semantics)
- **Year Founded:** 2017
- **HQ Location:** Stuttgart, DE
- **Twitter:** @axite_io (696 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/7928482/ (25 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Marketing and Advertising, Retail
  - **Company Size:** 69% Small-Business, 25% Mid-Market


### 8. [Article Forge](https://www.g2.com/products/article-forge/reviews)
  Using advanced artificial intelligence and deep learning, Article Forge writes completely unique, on-topic, high-quality articles with the click of a button. Content is expensive and time-consuming to create, but it doesn't have to be. Article Forge was born out of five years of artificial intelligence research, and its deep learning models are trained on millions of articles so it can write intelligently about virtually any topic. This allows our AI to write entire, unique, naturally flowing articles with just the click of a button, drastically cutting down the time and money needed to create content.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 51
**How Do G2 Users Rate Article Forge?**

- **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.9/10)
- **Tailored Content:** 8.3/10 (Category avg: 8.1/10)

**Who Is the Company Behind Article Forge?**

- **Seller:** [Glimpse.ai](https://www.g2.com/sellers/glimpse-ai-2f3e40bb-3875-403a-ad10-4c6cbf3709a2)
- **Year Founded:** 2020
- **HQ Location:** BALTIMORE, MD
- **Twitter:** @ArticleForge (526 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/glimpse-ai/ (8 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Digital Marketing Consultant
  - **Top Industries:** Marketing and Advertising, Information Services
  - **Company Size:** 79% Small-Business, 21% Mid-Market


### 9. [NLP AI Automation](https://www.g2.com/products/nlp-ai-automation/reviews)
  NLP AI Automation specializes in designing strategic, state-of-the-art, AI-first approach solutions to all business problems. We establish meaningful and ingenious strategies, maps curative solutions to help stand out within the automation industry. We help to design and develop agile solutions that is crafted to your requirements. Our team has wide range of experience in the field of software development, artificial intelligence and automation.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 33
**How Do G2 Users Rate NLP AI Automation?**

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10)
- **Charts and Graphs:** 8.5/10 (Category avg: 7.8/10)
- **Tailored Content:** 8.0/10 (Category avg: 8.1/10)
- **Report Creation:** 8.5/10 (Category avg: 8.1/10)

**Who Is the Company Behind NLP AI Automation?**

- **Seller:** [NLP AI Automation](https://www.g2.com/sellers/nlp-ai-automation)
- **HQ Location:** Bangalore, IN
- **LinkedIn® Page:** https://www.linkedin.com/company/nlp-ai-automation-private-limited/ (2 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 41% Mid-Market, 38% Small-Business


### 10. [Informative AI](https://www.g2.com/products/informative-ai/reviews)
  AI content marketing tool for small and midsize businesses. Create articles at scale. Boost your revenue in just a few minutes per day.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 22
**How Do G2 Users Rate Informative AI?**

- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 8.9/10)
- **Charts and Graphs:** 7.7/10 (Category avg: 7.8/10)
- **Tailored Content:** 8.5/10 (Category avg: 8.1/10)
- **Report Creation:** 8.3/10 (Category avg: 8.1/10)

**Who Is the Company Behind Informative AI?**

- **Seller:** [Informative](https://www.g2.com/sellers/informative)
- **Year Founded:** 2022
- **HQ Location:** Montreal, CA
- **LinkedIn® Page:** https://www.linkedin.com/company/informative-ai/ (1 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 59% Small-Business, 27% Mid-Market



    ## What Is Natural Language Generation (NLG) Software?
  [Natural Language Processing (NLP) Software](https://www.g2.com/categories/natural-language-processing-nlp)

  
---

## How Do You Choose the Right Natural Language Generation (NLG) Software?

### What You Should Know About Natural Language Generation (NLG) Software

### What is NLG software?

Natural language generation software uses artificial intelligence technology to generate natural written or spoken language text that people can understand. It analyzes [structured and unstructured data](https://www.g2.com/articles/structured-vs-unstructured-data#structured) sets to transform that information into natural-sounding human language. 

For instance, NLG software can turn financial data into an earnings report or sports data into a match summary. It can also interpret user intent by analyzing customer input and generating personalized responses, eliminating the need for manual intervention. This functionality enables voice assistants and [chatbots](https://www.g2.com/glossary/chatbot-definition) to respond with a human touch. 

### What are the common features of natural language generation software?

NLG software solutions have robust features and components for converting data into contextual content. 

- **Text generation:** The primary function of NLG software is to produce natural language text from structured data and other knowledge sources. The generated text comes in many forms, like reports, summaries, emails, and presentations.
- **Contextual understanding:** NLG software tools can understand the user intent behind a command or query and provide a contextual response in a human-like language. This ability improves system and user communication by providing personalized answers.
- **Enhancing data visualization.** When integrated with visualization tools, natural language generation software can create reports, including textual summaries and visual representations. It writes descriptive narratives to accompany visuals, like charts and graphs, making complex data accessible to a broader audience.
- **Automated document creation.** With NLG technology, users can create documents without any manual effort. The software takes input in the form of structured data and creates a draft based on the user’s chosen template.
- **Language variation:** This feature allows NLG software to generate text in different styles and languages, which is especially useful for businesses communicating with different groups.

### Types of NLG software 

NLG software is broadly classified into two types: standalone solutions and built-in tools. Both serve different purposes. 

- **Standalone NLG:** Standalone solutions operate independently; they come with their own user interfaces instead of being tied to a specific platform. More flexible than their counterparts, they can be used for various content generation needs like creating reports, writing articles, and composing product descriptions.
- **Built-in NLG:** These are integrated into larger software platforms like analytics or business intelligence. They provide context-specific text generation within the environment of the existing application, enhancing its overall functionality.

### Key benefits of natural language generation software

NLG software improves data handling and communication for organizations, both internally and externally. More of its advantages are described here.

- **Easy-to-digest data:** NLG software translates complex data into natural language, making it easy for individuals without specialized [data analysis](https://www.g2.com/articles/data-analysis-process) skills to understand. As such, users grasp data insights more easily.  
- **Plain language interface:** NLG tools generate content in human-like language, which is simple, natural, and free from specialized terminology. This helps businesses reach a wider audience.
- **Content creation assistance:** NLG automates writing tasks by processing structured data and producing contextually relevant content. It’s a powerful tool for scaling up the content creation workflow, and it also helps generate reports, product descriptions, summaries, emails, and other content forms.
- **Less manual effort:** Since NLG automates the content creation process, it reduces the need for human intervention. It frees up human resources and allows your team to focus on more strategic and creative tasks without hampering the volume of consistent content flow.

### Natural language generation vs. natural language processing  vs. natural language understanding 

NLP, NLG, and NLU are all closely related concepts under the umbrella of AI. They work together to produce effective communication between machines and humans. However, each differs slightly in functionality, i.e., how computers handle human language.

**NLG** is all about generating natural language text from complex data sets, whereas [NLU](https://www.g2.com/categories/natural-language-understanding-nlu) focuses specifically on understanding natural language. For instance, NLU is used in voice assistants like Siri or Google Assistant to respond to commands and queries by understanding user intent.

[NLP](https://www.g2.com/articles/natural-language-processing) is the broader field encompassing both generation and understanding of natural language. It facilitates communication between the user and the system by enabling the tech to understand, interpret, and respond to human language. Common use cases of NLP include speech recognition and machine translation. 

### Who uses natural language generation software?

Anyone looking to transform structured data into intelligible textual content can use NLG software. It's especially valuable for industries that require consistent data-driven content creation or personalized communications with their stakeholders.

- **Analysts:** Business, financial, and data analysts use NLG software to generate reports and summaries. NLG makes data more accessible and understandable, so it’s easy to discover trends and communicate numbers with all stakeholders. 
- **Content creators:** NLG systems are useful for churning out large volumes of high-quality content, which makes it an essential tool for today’s creators. They can use NLG’s automation tactics for writing social media copy, blog posts, and product descriptions while maintaining a consistent brand message.
- **Department heads:** NLG software enables department heads to improve efficiency and communication within their teams and beyond. They use it for tracking and sharing metrics and facilitating data-driven decisions across the organization.

### NLG software pricing

The price for natural language generation software depends greatly on the project scope, features, and vendor. Factors like customization, training and implementation, maintenance, and storage also affect the overall cost of the product.

Depending on the needs and financial preferences of the user, there are mainly two kinds of pricing models for NLG software. 

- **Add-on:** Some platforms offer core services and allow customers to upgrade by purchasing NLG features as add-ons. This model is structured on a monthly fee plus the base subscription cost. It enables a customized user experience that only includes features as needed.
- **Included:** In other cases, some platforms incorporate NLG as a part of their standard offerings and charge no additional fee. Under this pricing model, the base cost is high, but NLG features are a part of the subscription fee. It also simplifies billing and can work for extensive users. 

If you don’t need NLG that often, then purchasing it as an add-on is more cost-effective and flexible. It’s usually billed on a monthly fee subscription model. On the other hand, if NLG is essential for daily operations, a standard subscription included with the platform will be more beneficial.

#### ROI for NLG software

You can assess your return on investment for NLG software through factors that contribute to the overall value and benefits derived from its implementation. 

- **Ease of use:** Since NLG software is easy to use, more people can apply it without needing training.
- **Time saved:** The automation of content creation saves significant time and cost because fewer human resources are required to generate data-driven reports and other documents.
- **Scalability:** With NLG software, organizations scale up their content production without requiring additional resources. This results in higher production output, but costs remain the same.
- **Productivity:** Without the need to constantly write and create, employees can focus on tasks that drive value and lead to profitable business outcomes.

### Challenges with natural language generation tools

Despite the many benefits and applications of NLG software, it presents some challenges.

- **Adoption:** Integrating NLG software with existing systems requires significant time and resources. Employees may also resist learning new technologies. 
- **Consistency of output:** Businesses need consistency in their content for branding purposes. However, NLG software sometimes struggles with maintaining a consistent voice and writing style, especially on eclectic topics for diverse audiences. In addition, factors like language complexity and scalability also create inconsistencies.
- **Quality control:** NLG software needs high-quality data to produce accurate outputs. If the data is not up to standards or unavailable altogether, creating content becomes arduous. For instance, [AI biases](https://www.g2.com/glossary/algorithmic-bias-definition) can appear due to prejudices in the training data, which affects the accuracy and quality of generated text.

### What are the alternatives to NLG software?

These alternatives to NLG software can replace it, at least partially, if not fully.

- [**Analytics platforms**](https://www.g2.com/categories/analytics-platforms) collect, analyze, and visualize data from different resources. They provide features like data visualization, reporting, and statistical analysis to uncover patterns, trends, and insights. Many analytics platforms also offer a basic level of narrative explanation alongside data visualizations for accessible communication.
- [**AI chatbots**](https://www.g2.com/categories/ai-chatbots) are automated messaging systems that conduct interactive human conversations. They interpret user inputs, process requests, and respond in natural language. AI, machine learning, and NLP technology are all used to understand questions and generate relevant replies.

### Which companies should buy natural language generation software?

NLG software is especially useful for companies that manage large volumes of data and need coherent narrative insights from it. 

- **E-commerce and retail organizations:** These companies can use NLG solutions to generate large volumes of content, like product descriptions, reviews, and sales reports. These tools can also process customer data to provide tailored shopping experiences and write content for different consumer groups.
- **Financial institutions:** NLG software helps banks and financial institutes by creating automated financial reports and investment summaries. It also makes it easier to communicate financial insights to clients and stakeholders across the board.
- **Healthcare:** By using NLG software, healthcare providers can interpret complex medical and clinical data and generate reports, patient summaries, and other content based on electronic health records.
- **Marketing and advertising agencies:** NLG software produces data-driven and creative ad copies, email campaigns, and social media content. Its performance reports help you tap into data insights.

### How to choose natural language generation software

Choosing the right natural language software requires the following steps.

#### Identify business needs and priorities

Stakeholders must start by evaluating the areas within their organization where NLG can add value, whether it's automating report generation, enhancing content creation, or improving customer interaction. Understanding business goals and testing the technical proficiency of the staff is crucial.

#### Choose the necessary technology and features

The next step is finding solutions that carry the technology and features aligned with your needs. NLG software with comprehensive language models produces coherent and accurate text. Customization and flexibility are essential to achieve the desired tone and style of content. Data integration helps connect existing databases and resources. Businesses with regional and worldwide operations appreciate the multilingual service.

#### Review vendor vision, roadmap, viability, and support

Once features are identified, stakeholders must explore and narrow their vendor choices. Examining product roadmap, vendor's business mission, viability, and customer support are good starting points. Market stability and user reviews are also essential factors for long-term planning. 

#### Evaluate the deployment and pricing model

When considering software deployment, businesses have to weigh the benefits of cloud-based versus on-site solutions versus a hybrid model. Evaluate factors like flexibility, control, compliance, and security, along with the licensing fees and subscription costs. The pricing model should be transparent and scalable.

#### Put it all together

Finally, stakeholders must take all considerations and create an actionable plan. This step involves identifying potential risks, taking feedback from end users, and conducting a final evaluation to choose the best solution that aligns with business objectives, priorities, and budget.

### Natural language generation software trends

- **The rise of NLP and conversational AI:** NLP advancements have improved contextual understanding, interpretation, and generation of human language, allowing NLG software to generate more relevant and coherent text. This is particularly vital in conversational AI used in chatbots and [virtual assistants](https://www.g2.com/categories/intelligent-virtual-assistants) for understanding user intent and maintaining context.
- **User-friendly conversational interface:** The success of platforms like ChatGPT highlights the importance of user-friendly chat platforms. It increased the adoption and integration of NLG technology into diverse applications. The interface allows users to communicate with the system using natural language, even if unfamiliar with complex commands and interfaces. 

### Software and services related to NLG Software

Related solutions that can be used together with NLG software include those discussed here.

- [**AI writing assistants**](https://www.g2.com/categories/ai-writing-assistant) **:** These tools offer many features to help users with content generation and optimization, like grammar and spelling checks, style suggestions, and tone analysis. With the help of AI writing assistants, NLG-generated text can be refined and improved for quality, ensuring it meets defined standards. 
- [**Chatbots**](https://www.g2.com/categories/chatbots) **:** Chatbots operate on a set of predetermined rules and conduct more guided human conversations as compared to AI chatbots. With NLG technology, chatbots can generate contextually appropriate and personalized responses to give users a natural and less restrained conversational experience.

_Researched and written by_ [_Matthew Miller_](https://research.g2.com/insights/author/matthew-miller)

_Reviewed and edited by_ [_Aisha West_](https://www.linkedin.com/in/westeawest/)