Richard Brooks

Essay · September 2024

AI-Powered Sales Strategies: Comparing LLMs for Language Service Providers

Generative AI has captured the spotlight in the language services industry, primarily due to its perceived competition with professional translators. However, the potential of this technology extends far beyond translation.

In this blog post, we’ll explore a potentially overlooked application of Large Language Models (LLMs): enhancing sales outreach strategies for Language Service Providers (LSPs).

I’ll compare four leading LLMs—the new LLM from OpenAI o1, Claude (Sonnet 3.5), Perplexity and Gemini—on a specific strategic marketing task. We’ll use a case study and made up customer to do this (feel free to copy this and replace it with specific information about your company and customers).

The goal is to help you determine:

The Marketing Task

In the competitive landscape of Language Service Providers, working with large, multinational companies is often the norm. A real opportunity for growth doesn’t always lie in acquiring new clients, but in expanding services within existing accounts. This strategy, known as account expansion, is typically more efficient and effective than cold outreach, offering higher success rates and shorter sales cycles.

For our experiment, we’ll focus on a common scenario faced by LSPs: expanding services within a key account. We’ve created a hypothetical case study featuring LingoTech Solutions, a made up mid-sized LSP, and their client GlobeTech Innovations, a made up global software company. LingoTech already provides translation services for GlobeTech’s marketing department, but suspects there are untapped opportunities in other departments.

While tools like LinkedIn Sales Navigator can provide valuable data on company structures and potential contacts, the real test is in synthesising this information into an effective expansion strategy. This is where this experiment will use AI, specifically Large Language Models (LLMs), could provide significant value.

Experiment Methodology and Prompt

To test the capabilities of some selected LLMs in the context of LSP sales strategy, I’ve developed a comprehensive prompt that simulates a real-world account expansion scenario. This prompt is designed to challenge the AI models in several key areas of sales strategy development.

Methodology

The approach involves the following steps:

The Prompt

The prompt is copied below and is designed to simulate the role of an ‘AI sales strategist’ tasked with developing an account expansion plan. Here’s an overview of what I’m asking the LLMs to do:

My thinking is that by challenging the LLMs with this complex, multi-faceted prompt, I aim to push the boundaries of their capabilities in strategic business thinking and gain insights into their potential as tools in this scenario.

The prompt I used is below:

Act as an AI sales strategist for a Language Services Company called LingoTech Solutions. Your task is to develop a comprehensive sales strategy to expand services within their key customer GlobeTech Innovations. GlobeTech makes bespoke software which is used all over the world. LingoTech already provides GlobeTech with translation services for their marketing department. The aim of this exercise is to increase the amount of work LingoTech receives from GlobeTech. The team at LingoTech have long suspected there are other departments and managers who would benefit from their translation services.

Based on this scenario, please address the following points in your response:

Potential Departments: Identify 3-5 departments within GlobeTech (besides Marketing) that could benefit from LingoTech's translation services. Briefly explain why each department would need these services.

Value Proposition: Create a compelling value proposition for LingoTech's translation services, tailored specifically for GlobeTech Innovations. This should encompass benefits for multiple departments, not just Marketing.

Key Decision Makers: For each identified department, suggest 1-2 job roles that would likely be key decision makers or influencers in procuring translation services. Explain their potential pain points related to multilingual content.

Department-Specific Benefits: For each identified department, outline how LingoTech's services could address their specific needs and challenges. How would expanded translation services provide value to each department?

Cross-Departmental Synergies: Suggest ways in which LingoTech's services could improve collaboration or efficiency between different departments at GlobeTech.

Expansion Strategy: a) Prioritise the identified departments for outreach. b) Develop a short, tailored pitch (2-3 sentences) for the top 3 priority departments. c) Suggest specific examples or case studies that could support the outreach to each of these departments.

Leveraging Existing Relationship: Propose ways LingoTech can utilise their current relationship with GlobeTech's marketing department to facilitate introductions or gain insights about other departments.

Potential Objections: Anticipate two potential objections from decision makers in the top 3 priority departments and provide concise rebuttals.

Action Plan: Propose a high-level 60-day action plan for LingoTech's sales team to implement this expansion strategy within GlobeTech.

In your response, demonstrate strategic thinking, industry understanding, and creativity while maintaining ethical sales practices. Provide clear, actionable insights that LingoTech's sales team could realistically implement to expand their services within GlobeTech Innovations.

Output from ChatGPT

Note: I used the new OpenAI o1 instance, this model uses reasoning. It claims it can reason through complex tasks and solve harder problems than previous models in science, coding, and math. This took 3 attempts to receive any output at all with the final output ‘thinking’ for 90 seconds. I’m pasting the output verbatim below.

Potential Departments:

Value Proposition:

Empower GlobeTech Innovations to seamlessly engage a global audience and workforce by delivering precise, culturally adapted translations across all departments. LingoTech Solutions ensures consistent messaging, faster time-to-market in new regions, and enhanced user satisfaction by bridging language barriers company-wide.

Key Decision Makers:

Product Development / Engineering:

Customer Support / Technical Support:

Training and Documentation:

Human Resources:

Department-Specific Benefits:

Product Development / Engineering:

Customer Support / Technical Support:

Training and Documentation:

Human Resources:

Cross-Departmental Synergies:

Expansion Strategy:

a) Prioritised Departments for Outreach:

b) Tailored Pitches:

c) Supporting Examples/Case Studies:

Product Development / Engineering:
Customer Support / Technical Support:
Training and Documentation:

Leveraging Existing Relationship:

Potential Objections and Rebuttals:

60-Day Action Plan:

Week 1-2:

Meet with the Marketing team to gather insights and obtain introductions.

Research each targeted department to tailor the approach.

Week 3-4:

Initiate contact with key decision-makers.

Send personalised pitches highlighting specific departmental benefits.

Week 5-6:

Schedule meetings or presentations with interested departments.

Prepare case studies and proposals relevant to each team’s needs.

Week 7-8:

Conduct in-depth needs assessments during meetings.

Identify specific pain points and tailor solutions accordingly.

Week 9-10:

Present customised service proposals.

Offer pilot projects or trial periods to demonstrate value.

Week 11-12:

Follow up to address any concerns or objections.

Negotiate terms and finalise service agreements.

Week 13-14:

Kick off new projects with clear timelines and deliverables.

Establish communication channels for ongoing collaboration.

Output from Perplexity

Note: Perplexity generates answers using sources from the web and cites links within the text response. I set LLM in this instance to Llama 3.1 Sonar 70B Online but it can use other LLMs. I’m pasting the output verbatim below.

Potential Departments

  1. Software Development: Needs translation for user interfaces, documentation, and error messages.
  2. Customer Support: Requires translation for knowledge bases, FAQs, and support tickets.
  3. Human Resources: Needs translation for employee handbooks, training materials, and internal communications.
  4. Legal: Requires translation for contracts, terms of service, and compliance documents.
  5. Product Management: Needs translation for product specifications, roadmaps, and feature descriptions.

Value Proposition

LingoTech Solutions empowers GlobeTech Innovations to seamlessly connect with global audiences across all touchpoints. Our expert translation services ensure consistency, cultural relevance, and technical accuracy throughout your software lifecycle – from development to customer support. By partnering with LingoTech, GlobeTech can accelerate international growth, enhance user experience, and maintain compliance while reducing costs and time-to-market.

Key Decision Makers

  1. Software Development:
    • Chief Technology Officer (CTO): Concerned with maintaining code quality and efficiency across languages.
    • Head of User Experience (UX): Focused on ensuring a consistent user interface across all languages.
  2. Customer Support:
    • Director of Customer Experience: Worried about providing timely, accurate support in multiple languages.
    • Knowledge Base Manager: Concerned with maintaining up-to-date, translated support content.
  3. Human Resources:
    • Chief Human Resources Officer (CHRO): Focused on effective communication with a global workforce.
    • Learning and Development Manager: Concerned with delivering consistent training across languages.
  4. Legal:
    • General Counsel: Worried about legal compliance and consistency across jurisdictions.
    • Contracts Manager: Concerned with accurate translation of legal terms and conditions.
  5. Product Management:
    • Chief Product Officer (CPO): Focused on clear communication of product vision and roadmap globally.
    • Localization Manager: Concerned with adapting products for different markets efficiently.

Department-Specific Benefits

  1. Software Development: Streamlined localization process, reduced bugs in translated interfaces, faster time-to-market for global releases.
  2. Customer Support: Improved customer satisfaction through accurate multilingual support, reduced response times, consistent brand voice across languages.
  3. Human Resources: Enhanced employee engagement globally, improved compliance with local labour laws, more effective international recruitment.
  4. Legal: Reduced legal risks through accurate contract translations, improved compliance with international regulations, faster turnaround for multilingual legal documents.
  5. Product Management: Better alignment of global product strategy, improved feature adoption rates in international markets, more effective communication with global development teams.

Cross-Departmental Synergies

LingoTech’s services can create a centralised translation memory and glossary, ensuring consistency across all departments. This can improve collaboration between Software Development and Customer Support, ensuring that user interface terms match support documentation. It can also align Product Management’s vision with Marketing’s messaging, creating a cohesive brand experience across all touchpoints.

Expansion Strategy

a) Priority order: 1. Software Development, 2. Customer Support, 3. Product Management, 4. Human Resources, 5. Legal

b) Tailored pitches:

  1. Software Development: “Accelerate your global software releases with our AI-powered localization platform, ensuring consistent, bug-free user experiences across all languages.”
  2. Customer Support: “Enhance customer satisfaction and reduce support costs with our real-time, culturally-nuanced translation services for all your support channels.”
  3. Product Management: “Align your global product strategy and boost international adoption rates with our comprehensive product localization services.”

c) Specific examples:

  1. Software Development: Case study of how LingoTech reduced localization time by 40% for a similar software company, resulting in faster global releases.
  2. Customer Support: Example of how LingoTech’s real-time translation API integrated with a helpdesk system, reducing average response time by 30% for international tickets.
  3. Product Management: Success story of how LingoTech’s localization services helped a tech company increase feature adoption rates by 25% in new markets.

Leveraging Existing Relationship

  1. Request a meeting with the Marketing team to gather insights about other departments’ translation needs.
  2. Ask for introductions to key decision-makers in other departments.
  3. Offer to present LingoTech’s expanded capabilities at a cross-departmental meeting.
  4. Propose a pilot project that demonstrates value across multiple departments.

Potential Objections

  1. Software Development – “We can handle localization internally with our developers.” Rebuttal: “While your developers are undoubtedly skilled, our specialised localization experts can free up their time to focus on core development tasks, potentially accelerating your release cycles.”
  2. Customer Support – “Machine translation is good enough for our needs.” Rebuttal: “While machine translation has improved, it often misses nuances crucial for customer satisfaction. Our human-in-the-loop approach combines AI efficiency with human expertise, ensuring accurate, culturally-appropriate support.”

Action Plan

Day 1-10:

Day 11-20:

Day 21-40:

Day 41-50:

Day 51-60:

This strategy provides LingoTech with a structured approach to expand their services within GlobeTech Innovations, leveraging their existing relationship and demonstrating value across multiple departments.

Output from Gemini

Note: formerly known as Bard, Gemini is a generative artificial intelligence chatbot developed by Google. I’m pasting the output verbatim below.

AI Sales Strategist for LingoTech Solutions: GlobeTech Innovations Expansion Strategy

1. Potential Departments

2. Value Proposition for GlobeTech Innovations

“Empower GlobeTech’s global reach. LingoTech’s expert translation services streamline communication across departments, enhancing your software’s accessibility, customer satisfaction, and international growth. Our tailored solutions ensure accuracy, cultural sensitivity, and seamless integration into your workflows, empowering GlobeTech to connect with diverse markets and achieve sustainable success.”

3. Key Decision Makers & Pain Points

4. Department-Specific Benefits

5. Cross-Departmental Synergies

6. Expansion Strategy

a) Prioritization:

  1. Customer Support
  2. Product Development
  3. Sales & Business Development
  4. Human Resources (HR)
  5. Legal & Compliance

b) Tailored Pitches:

  1. Customer Support: “Empower your support team to deliver exceptional service in any language. Reduce support ticket volume and boost customer satisfaction with LingoTech’s accurate and culturally sensitive translations.”
  2. Product Development: “Launch your software globally with confidence. LingoTech’s expert translations ensure your product resonates with users worldwide, driving adoption and positive reviews.”
  3. Sales & Business Development: “Unlock international sales opportunities. LingoTech’s tailored translations empower your sales team to connect with clients in their language, closing deals faster and boosting revenue.”

c) Supporting Examples:

7. Leveraging Existing Relationship

8. Potential Objections & Rebuttals

  1. Objection: “We already use machine translation, it’s good enough.”
    • Rebuttal: “While machine translation is convenient, it often lacks the accuracy and cultural nuance required for effective communication. LingoTech’s human translators ensure your message is clear, compelling, and culturally appropriate, protecting your brand reputation.”
  2. Objection: “Translation is too expensive, we don’t have the budget.”
    • Rebuttal: “LingoTech offers competitive pricing and flexible solutions tailored to your needs. Our services can actually save you money in the long run by preventing costly errors, improving efficiency, and driving revenue growth in international markets.”

9. 60-Day Action Plan

Remember: Ethical sales practices, clear communication, and a focus on building long-term relationships are key to success. LingoTech’s value proposition, combined with this strategic approach, will enable them to expand their services within GlobeTech Innovations and drive mutual growth.

Output from Claude

Note: Claude is made by Anthropic. They are a Google spin off. In this instance I used the Sonnet 3.5 engine. I’m pasting the output verbatim below.

Potential Departments:

a) Research & Development (R&D):

b) Customer Support:

c) Human Resources (HR):

d) Legal:

e) Product Management:

Value Proposition:

“LingoTech Solutions empowers GlobeTech Innovations to seamlessly connect with a global audience by providing accurate, culturally-sensitive translations across all departments. Our comprehensive language services enhance your international reach, improve customer satisfaction, and streamline internal operations, ultimately driving growth and efficiency throughout your organisation.”

Key Decision Makers:

a) R&D:

b) Customer Support:

c) HR:

d) Legal:

e) Product Management:

Department-Specific Benefits:

a) R&D:

b) Customer Support:

c) HR:

d) Legal:

e) Product Management:

Cross-Departmental Synergies:

Expansion Strategy:

a) Priority departments: 1. Customer Support, 2. R&D, 3. Product Management

b) Tailored pitches:

  1. Customer Support: “Elevate your global customer experience with LingoTech’s real-time translation services. We’ll help you reduce response times, improve satisfaction scores, and maintain a consistent brand voice across all languages.”
  2. R&D: “Accelerate your global innovation with LingoTech’s specialised technical translation services. We’ll help you streamline patent applications, enhance collaboration with international partners, and protect your intellectual property worldwide.”
  3. Product Management: “Boost your product’s global appeal with LingoTech’s localization expertise. We’ll help you reduce time-to-market, improve user experience, and maintain consistent messaging across all your international markets.”

c) Specific examples/case studies:

  1. Customer Support: Highlight how LingoTech helped a similar software company reduce average response times by 30% and increase customer satisfaction scores by 25% in non-English speaking markets.
  2. R&D: Showcase a case where LingoTech’s technical translations helped a tech firm secure international patents 40% faster and facilitated a crucial cross-border research partnership.
  3. Product Management: Present a study where LingoTech’s localization services helped a software company increase user adoption by 50% in new markets and reduced localization-related bugs by 75%.
  4. Leveraging Existing Relationship:

Potential Objections:

a) Customer Support: “We already use machine translation for our support tickets.” Rebuttal: “While machine translation is a good start, our human translators ensure nuanced, culturally appropriate responses that significantly improve customer satisfaction and reduce misunderstandings.”

b) R&D: “Our researchers all speak English, so we don’t need translation services.” Rebuttal: “English proficiency varies globally. Our technical translations ensure your innovations are accurately understood and protected in every market, potentially uncovering new collaboration opportunities.”

Action Plan:

Day 1-10:

Day 11-20:

Day 21-40:

Day 41-50:

Day 51-60:

This strategy provides LingoTech with a structured approach to expand their services within GlobeTech Innovations, focusing on demonstrating value to key departments and decision-makers while leveraging their existing relationship with the marketing department.

Comparing LLM Performances

To provide a comparison of how each LLM performed in the LSP sales strategy task, I evaluated the outputs of each across ten key criteria. Each is scored on a scale of 0-10, with 0 being poor performance and 10 being excellent. This scoring system allows me to quantitatively assess the strengths and weaknesses of each model while also providing room for nuanced evaluation.

The evaluation criteria encompass a range of skills essential for developing an effective sales strategy in the language services industry. These include strategic thinking, industry understanding, the quality of value propositions, accuracy in identifying relevant departments and roles, ability to tailor messaging, effectiveness in handling objections, practicality of action plans, creativity and innovation, adherence to ethical considerations, and overall coherence of the strategy.

OpenAI o1 Claude 3.5 Perplexity Gemini Comments
Strategic Thinking 9 8 8 8 OpenAI o1 showed slightly more comprehensive strategic thinking
Industry Understanding 8 9 9 8 Claude and Perplexity demonstrated stronger industry-specific knowledge
Value Proposition Quality 9 9 8 8 OpenAI o1 and Claude provided more compelling value propositions
Dept/Role Identification 9 9 8 8 OpenAI o1 and Claude identified more relevant roles and departments
Tailored Messaging 9 8 8 9 OpenAI o1 and Gemini excelled in adapting messages to different stakeholders
Objection Handling 8 8 8 9 Gemini provided slightly more effective objection handling
Action Plan Practicality 9 8 9 8 OpenAI o1 and Perplexity offered more detailed, practical action plans
Creativity & Innovation 8 8 7 8 All models showed similar levels of creativity, with slight variations
Ethical Considerations 9 9 9 9 All models maintained professional ethics consistently
Overall Coherence 9 9 8 8 OpenAI o1 and Claude provided more coherent overall strategies
Total Score 87 85 82 83 OpenAI o1 slightly outperformed, but all models showed strong capabilities

Scoring Guide:

0-2: Poor performance 3-4: Below average 5-6: Average 7-8: Good 9-10: Excellent

Concluding Remarks

After analysing the outputs of four leading LLMs—OpenAI o1, Claude (Sonnet 3.5), Perplexity, and Gemini—in developing sales strategies for Language Service Providers (LSPs), I’ve gained valuable insights into the current capabilities of AI in handling alternative business tasks.

Here are my key takeaways:

This experiment demonstrates that modern LLMs can indeed provide valuable assistance in sales and marketing strategies for LSPs. While each model has its strengths, I think the choice of which LLM might be the best investment would depend on an LSP’s specific needs, the particular aspects of strategy development they want to enhance, and how they plan to integrate AI tools into their existing processes.

Looking to the future, expect more sophisticated and tailored solutions for the language services industry as these technologies continue to evolve. However, I’m convinced that the key to success will lie in how effectively LSPs can combine the analytical power and efficiency of AI with the irreplaceable human elements of creativity, empathy, and industry-specific expertise.

Richard Brooks writes on business, value, and value AI actually delivers. He is the author of AI Strategy for Sales Teams. For work, there is my company. This essay is also available as markdown.