How AI Is Reshaping Search, Sales, and Support

TL;DR

Businesses should use AI to augment employees, automate repeatable work, and prepare for customer discovery beyond traditional search. HubSpot reports that AI resolves nearly 50% of its tier-one support tickets and has helped arrange 10,000–12,000 sales meetings, while emerging AI optimization practices respond to audiences moving from search engines toward tools such as ChatGPT.

Transcript

Google search and search in general is getting disrupted. Diversified in all of these new channels. People might not even start with search. They're actually going to chat GPT search engine optimization going away. So what now? And there's a new field of AI optimization that is emerging. It's an exciting time to be in marketing. market. Market The ... Read More

Key Insights

• AI is disrupting search by spreading customer discovery across new channels. People may begin their research in tools such as ChatGPT instead of a conventional search engine, weakening assumptions behind traditional search engine optimization and creating demand for an emerging discipline described as AI optimization.
• The AI platform competition is a battle to become the primary model used by consumers and businesses. OpenAI, Anthropic, Gemini, DeepSeek, and other providers are competing for attention in a contest compared with earlier browser and mobile operating-system battles.
• Agentic software is shifting the product of software companies from tools toward completed work. Earlier software primarily helped employees perform tasks at their desks, while AI agents are increasingly designed to research, draft, answer, or otherwise produce work as their direct output.
• AI is expected to augment human workers while affecting each business function differently. Support staffing may remain flat or decline as routine tickets are automated, whereas productive salespeople and engineers can help companies generate more revenue or deliver more customer value.
• Entry-level roles are likely to change because AI can perform portions of first-tier support and business-development work. Account research and email drafting can be automated, allowing employees to move sooner toward responsibilities that require greater judgment and provide higher value.
• HubSpot is adopting AI to learn which use cases create value, not simply to reduce headcount. Internal deployment gives the company practical evidence about tasks AI can already handle, tasks that still require people, and applications that do not work effectively.
• HubSpot's support AI resolves nearly 50% of tier-one tickets while the company maintains its support headcount. As its customer base grew by 20–25% in recent years, some employees moved from routine responses into proactive support and other higher-value work.
• HubSpot's prospecting system uses AI to research accounts, identify signals such as leadership or strategy changes, and draft relevant outreach. The company says this approach helped set up 10,000–12,000 meetings during recent quarters while augmenting the business-development function.

Questions & Answers

Q: How is AI changing search engine optimization?

AI is changing search engine optimization because customer discovery is becoming distributed across more channels. Some people may start with ChatGPT rather than a conventional search engine, and the title states that 60% of Google searches receive no click. The interview therefore argues that businesses must prepare for an emerging field of AI optimization instead of relying exclusively on traditional search rankings and website clicks.

Q: What is AI optimization in marketing?

AI optimization is presented as an emerging marketing field responding to people who seek information through AI tools rather than only through traditional search engines. The supplied material does not provide a detailed implementation framework, but it establishes the strategic objective: marketers must adapt their discovery practices as search fragments across new channels and tools such as ChatGPT become starting points for customer research.

Q: How does agentic software differ from traditional SaaS?

Traditional software helps a person perform work while sitting at a desk, whereas agentic software is designed to provide the work itself as an output. Built on large language models, agents can take on activities such as researching accounts, drafting outreach, or answering routine support questions. The distinction is between supplying tools for human execution and producing a larger share of the completed task.

Q: Will AI reduce the number of human jobs?

AI's employment effects are expected to differ by function rather than produce one uniform result. First-tier support may need fewer workers because AI can resolve part of a finite ticket volume. Sales and engineering may retain or add people because productivity can generate more sales or customer value. Some roles may disappear, while new roles are created to capture AI-driven productivity gains.

Q: How will AI affect entry-level sales and support roles?

AI can automate important parts of entry-level work, including first-tier support, company research, account analysis, and initial email drafting. That changes the responsibilities of support representatives and business-development representatives, but the interview does not frame the outcome as a fixed percentage of job losses. Instead, employees may progress more quickly toward higher-value tasks and more advanced roles involving human judgment.

Q: How does HubSpot use AI for customer support?

HubSpot uses AI to resolve nearly 50% of its tier-one support tickets. The company says its customer base grew by 20–25% over the last couple of years while support headcount was held steady. Employees previously focused on routine first-tier requests could then move into proactive support and other higher-value areas, while customer success and satisfaction remained fairly high.

Q: How does HubSpot use AI to generate sales meetings?

HubSpot uses AI to review sales accounts, collect information, and identify signals associated with relevant prospects. Those signals can include a leadership change, a strategy change, or challenges discussed during an earnings call. AI then drafts contextual email outreach, and returned messages can lead to scheduled meetings. HubSpot reports that this process generated 10,000–12,000 meetings during recent quarters.

Q: Why did HubSpot adopt AI across its business?

After ChatGPT appeared in November 2022, HubSpot changed its 2023 product roadmap to embed AI across the platform and simultaneously increase internal adoption. Its stated purpose was not merely to use AI or reduce staffing. Internal use helps the company learn which applications add value, which do not work, and which business functions are ready for greater automation or augmentation.

Summary & Key Takeaways

• AI is disrupting both the technology industry and the way businesses operate. Competition among OpenAI, Anthropic, Gemini, DeepSeek, and other model providers resembles earlier battles over browsers and mobile operating systems, while a new application layer is shifting software from helping people perform work toward delivering completed work through agents.

• The employment impact of AI is expected to vary by function. First-tier support may require fewer people because the available ticket volume is finite and AI can resolve routine requests. Sales and engineering may retain or expand staffing because greater productivity can translate into additional revenue, products, and customer value.

• HubSpot changed its product roadmap after ChatGPT appeared in November 2022, embedding AI across its platform while adopting the technology internally. Its examples include resolving nearly half of tier-one support requests, researching sales accounts, drafting personalized outreach, and generating 10,000–12,000 meetings during recent quarters.