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Trace SalesGPT

SalesGPT leverages its big data and AI technologies to offer comprehensive intelligent sales solutions for businesses, helping them to digitalize their sales processes and thereby improving sales efficiency and performance.

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What is SalesGPT?

SalesGPT is an AI-powered sales assistant designed for B2B sales teams, and it has now been integrated into Trend AI’s sales product portfolio.

It combines corporate data, industry expertise with large models to assist in finding customers, identifying business opportunities, making contact, and preparing follow-up records.

Current core functions

FunctionsMain functionApplicable stages
Lead Generation AgentIdentify potential manufacturers and channel partners based on product recommendationsClue discovery
Intelligent filteringConvert natural language customer profiles into filtering criteriaTarget customer segmentation
AI business opportunitiesAnalyzing purchase intent in public signalsBusiness opportunity identification
Smart scriptGenerate sales scripts related to industries and products.Phone and communication preparation
Intelligent summaryExtract the key points of the call and create a follow-up summary.Customer follow-up

Lead Generation Agent

For sales, you can enter the product name or main business area, so that the system can determine the groups of companies that are likely to purchase this product.

  • Suitable for new sales staff who are not clear about the target industry or its position within the supply chain.
  • The system combines corporate data and product relationship analysis to identify the needs of upstream and downstream parties.
  • After identifying potential clients, further screening is required based on region, scale, qualifications, and recent signals.
  • The recommendation results indicate likelihoods only, and do not mean that the customer has already expressed an intention to make a purchase.
  • The sales team should keep track of valid and invalid leads, and continuously refine the customer profile.

Intelligent filtering

Smart filtering can understand natural language descriptions, analyze customer profiles, and add actionable filtering criteria.

  • It can describe the industry, products, region, scale, qualifications, and operational status.
  • It is suitable for converting sales experience into reusable filtering templates for the team.
  • Too permissive conditions will result in a large number of low-value leads, while too restrictive conditions may cause customers to be missed.
  • The filtered versions should be saved, and the effective contact rates of each version should be compared.
  • There are delays in updating corporate data, and key facts still need to be verified again.

AI business opportunity identification

AI business opportunities help identify potential purchasing needs by analyzing reviews and public business signals.

  • Dispersed demand leads can be gathered on the sales dashboard.
  • Signals need to be evaluated in consideration of the time of publication, the source, and the identity of the company.
  • Negative reviews, recruitment, or bidding information do not necessarily indicate an explicit procurement plan.
  • High-value business opportunities should first be manually verified before arranging a discussion.
  • Teams can set priorities based on the intensity of interest, urgency, and degree of fit.

Smart script

Smart scripts generate communication frameworks based on the industry, products, and questionnaires, to assist sales teams in preparing their opening remarks and dealing with objections.

  • Enter the accurate product features, customer roles, and use cases.
  • Adjust the way value is expressed for roles such as procurement, technology, and management.
  • The script should include questions, rather than merely presenting the product in a continuous manner.
  • Prices, effects, customer cases, and commitments must be based on accurate information.
  • AI-generated content needs to be revised by the sales team in light of the specific circumstances of this client.

Intelligent summary

Smart summarization extracts key information from sales calls and generates summaries that facilitate further follow-up.

  • It can organize customer requirements, budgets, timelines, concerns, and next steps.
  • Summaries help reduce the time spent on repeatedly writing follow-up records for sales purposes.
  • Names, numbers, dates, model numbers, and commitments require manual verification.
  • Call recordings and transcriptions must comply with the requirements regarding notification, authorization, and internal management.
  • The summary should be sent to the correct customer to avoid confusion among different contacts.

Data and sales cloud capabilities

Leveraging Trace’s enterprise data and sales cloud, SalesGPT is not just a standalone text generation tool.

Data or modulesCurrent statement on the official websitePrimary uses
Market entities300 million+Enterprise search and filtering
Factory data9 million+Helping manufacturing companies acquire new customers
Channel data13 million+Distribution and channel development
E-commerce store data50 million+Connections between e-commerce companies
Tender announcement300 million+Identification of business opportunities for projects
AI CRMCustomer and Sales ManagementFollow-up and conversion closure loop

The data volume is the figure provided by the platform; it does not mean that every account can access all fields and amounts of data.

Relationship with the Trail Sales Cloud

  • AI customer acquisition is responsible for finding, screening, and recommending potential customers.
  • AI customer acquisition is responsible for handling inquiries, forms, business cards, and scenarios related to WeCom.
  • AI outreach covers calls, text messages, emails, and marketing analysis.
  • AI CRM is responsible for customer data, the sales process, ratings, and data dashboards.
  • SalesGPT provides natural language understanding and generation capabilities for these processes.
  • The actual available modules depend on the enterprise’s procurement plan and account permissions.

Guide to Using SalesGPT

  1. First, define the target product, region, average order value, and characteristics of the ideal customers.
  2. Enter the product name in SalesGPT to have the lead-generation agent recommend target customers.
  3. Use natural language to add information on the industry, scale, qualifications, and recent trends.
  4. Check the filtering criteria for system breakdown and remove any unreasonable restrictions.
  5. Verify the operating status, product suitability, and contact information of the candidate companies.
  6. Set follow-up priorities based on business opportunity signals and matching degree.
  7. Generate and manually modify communication scripts for different contacts.
  8. Contact customers through compliant channels and record the outcomes of those communications.
  9. Check the AI call summary and specify the next deadline and responsible person.
  10. Feed back the reasons for successful transactions and failures to the filtering and recommendation models.

B2B lead generation workflow

  1. Establish assumptions regarding industry segments, customer size, and purchasing roles.
  2. Use intelligent filtering to create the initial list of target companies.
  3. Sample verification to assess the accuracy of data and its alignment with actual business operations.
  4. Identify business opportunities by combining recruitment, bidding, product, and operational signals.
  5. Rank leads based on value, intent, urgency, and difficulty of reaching them.
  6. Prepare personalized scripts, case studies, and a list of customer questions.
  7. Control the frequency of contact and respect requests to be declined or unsubscribed.
  8. Record results in CRM to track effective contacts and conversions.
  9. Regularly eliminate inefficient conditions and update customer profiles.

Methods for creating intelligent script language

  1. Explain your product, industry, and the proven core values.
  2. Enter the target contact’s role and the metrics they may be interested in.
  3. Let AI generate a short introduction, diagnostic questions, and a description of the value.
  4. Prepare responses regarding prices, delivery, performance, and objections related to competing products.
  5. Remove exaggerated claims, unverifiable data, and clichéd phrases.
  6. Shorten the wording to reflect natural conversation, rather than mechanical reading.
  7. Effective expressions are continuously updated based on feedback from actual calls.

Price and procurement methods

As of August 30, 2026, the official SalesGPT product page does not disclose the price of the standard package.

ProjectPublic price statusFactors affecting the quote
Product experienceAn experience trial can be requested.The scope of the experience and the account are determined by the consultant.
SalesGPT capabilitiesCompany quote requestNumber of users, industry, and functional permissions
Corporate dataCompany quote requestData range, fields, and usage limits
AI Sales Cloud ModuleCombined quoteCustomer acquisition, audience gathering, outreach, and CRM modules
Industry solutionsProject quotationIndustry data, models, and implementation services
System integrationProject quotationInterface, migration, and customization effort

The unofficial prices available on the internet cannot replace the official quotes; the final terms are determined by the contract details, account privileges, and settlement conditions.

What should be confirmed before making a purchase?

  • Number of accounts, role permissions, and range of data that can be queried.
  • Are there any limits on clues, contact information, export options, and the ability to reach targets?
  • Is the SalesGPT feature included in the main product or does it need to be purchased separately?
  • A combination of APP, CRM, call, SMS, and email modules.
  • Training, implementation, data migration, after-sales and renewal services.
  • Data updates, error correction, compliance, and audit mechanisms.
  • The trial acceptance should be evaluated based on the effective lead rate and conversion efficiency.

Web and tracking apps

  • Web: Suitable for corporate inquiries, bulk filtering, customer management, and analysis.
  • Trace APP: Suitable for checking customers on the go, recommending potential clients, and expanding the customer base using maps.
  • On mobile devices, it is possible to view customers’ contact information and record the contents of communications.
  • It supports visit logging, customer relationship tracking, and sales process management.
  • Data briefs and rankings make it easy for managers to monitor the progress of their teams.
  • The specific download method and system requirements are listed on the official app page.

API, SDK, and open-source status

  • Public API: No development documentation for SalesGPT that allows individuals to submit requests on their own has been found.
  • SDK: No official public SDK download page could be found.
  • Enterprise integration: Whether integration with systems such as CRM and ERP is supported shall be determined on a case-by-case basis.
  • GitHub: No official open-source repository that corresponds explicitly to SalesGPT was found.
  • Open source: SalesGPT and Tanshi Sales Cloud are commercial SaaS products.
  • Data export: Permissions, fields, and uses are governed by the account’s privileges and the relevant agreements.

Data and compliance considerations

  • The public information available about a company does not mean that it is possible to use that information for unrestricted marketing or to spread personal data.
  • The acquisition, use, and storage of contact information must serve legitimate purposes.
  • Communications via phone, text message, and email must comply with anti-harassment and unsubscribe requirements.
  • Forced marketing through frequent calls, bulk messaging, or hiding one’s identity is not allowed.
  • For recording, transcription, and call summaries, the necessary notifications and authorizations must be obtained.
  • The exported customer data requires access control, encryption, and deletion upon expiration.
  • AI scores cannot be the sole basis for discriminatory or high-risk decisions.

Which teams are suitable?

  • B2B sales team: Identifying target companies and key business opportunities.
  • Manufacturing companies: Seek customers based on products, production capacity, and the industrial chain.
  • Channel Recruitment Team: Identifies distributors and industry channel resources.
  • Enterprise service companies: Screen clients based on industry, size, and operational metrics.
  • Sales Manager: Standardize customer profiles, messaging approaches, and follow-up records.
  • New sales representatives: Use referrals and specific communication techniques to quickly understand the target market.

Usage restrictions and precautions

  • Recommendations from potential customers are based on probability alone and do not reflect genuine intent to make a purchase.
  • Enterprise data may contain delays, errors, or inaccuracies in entity associations.
  • AI-generated scripts may contain exaggerated promises, which must be reviewed by sales staff.
  • Call summaries may miss key information such as negative words, amounts, and times.
  • Functions and data permissions depend on the actual version purchased.
  • Improving sales efficiency still relies on product competitiveness, processes, and the performance of employees.
  • Before proceeding with a formal purchase, it is necessary to test the cost-benefit ratio through a small-scale pilot project.

Frequently Asked Questions

What can SalesGPT mainly do?

It can assist in recommending potential clients, filtering companies using natural language, identifying business opportunities, generating sales scripts, and summarizing sales calls.

What is the relationship between SalesGPT and Sales Cloud?

SalesGPT is part of the AI-based sales capabilities; it works together with modules for acquiring customers, gathering leads, reaching out to them, and CRM to create a complete workflow.

Is SalesGPT suitable for individual salespeople?

It is primarily intended for corporate B2B sales teams, with accounts, data, and functions typically configured according to corporate plans.

How much does SalesGPT cost?

The official website does not disclose the price of standard packages; a quote is required based on the account type, data volume, modules used, industry sector, and scope of services.

Is there a mobile version of the SalesGPT tracker?

The Trace APP enables users to carry out functions such as customer inquiries, recommendations, geolocated customer acquisition, communication record management, and sales administration.

Does SalesGPT offer a public API?

No public API or SDK documentation has been found yet; to determine the capability for integrating with enterprise systems, it is necessary to contact Tanji.

Do the customers recommended by SalesGPT definitely have a need?

Not necessarily; the recommendations and opportunity scores are only meant as a helpful guide, and sales representatives still need to verify the company’s information and its genuine intention to make a purchase.

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