The best AI for sales and marketing provides reps and marketers with clearer signals and more time to turn prospects into buyers.
AI technology does this by automating administrative tasks like data entry, surfacing actionable insights and using machine learning to predict which deals are most likely to convert.
In this article, you’ll learn what sales and marketing AI is, where it delivers the most value and top tools to consider. You’ll discover how to build a marketing and sales strategy that aligns both teams to drive real revenue and results with AI.
Key takeaways for AI for sales and marketing
AI for sales and marketing helps small businesses find, engage and convert buyers faster using generative AI, machine learning and automation.
AI can accelerate and optimize almost every sales and marketing workflow, from lead capture and scoring through to nurturing and performance analysis.
AI works best when it aligns sales and marketing so insights from one team automatically inform the other.
Pipedrive’s AI-driven CRM provides a suite of tools that enhance marketing and sales workflows, including AI notifications and an AI email writer.
Why small businesses should use AI in sales and marketing
Artificial intelligence (AI) makes small-business sales and marketing teams more efficient and effective by automating repetitive tasks, personalizing communications and analyzing vast amounts of data.
Here’s how small and medium-sized businesses can benefit from adopting AI across sales and marketing functions:
Increase productivity. AI can automate tasks such as updating records and drafting emails that sales professionals and marketers spend hours on each week. Increasing productivity is the main driver of AI adoption, according to Pipedrive’s State of AI in business report.
Boost sales and marketing results. AI drives better outcomes for sales and marketing teams by scoring leads, prioritizing deals and more. Gong estimates the use of AI boosts win rates by 50%.
Facilitate aligned, data-driven decision-making. AI unites sales and marketing by centralizing signals from previously siloed departments. Marketing sees which campaigns generate revenue. Sales sees which prospects are most engaged.
Improve the customer experience. Generative AI and chatbots help small businesses meet demand for better, personalized customer interactions. It’s the joint-second-biggest benefit of gen AI for B2B selling, according to McKinsey.
Ultimately, AI helps marketers and salespeople focus more on the tasks they’re best at.
By automating administrative work, increasing data flow and highlighting key insights, the technology empowers marketers to pass along more qualified leads. In turn, sales can focus on building meaningful customer relationships and closing deals.
7 ways SMBs can use AI for sales and marketing
Here are seven AI use cases for sales and marketing that can help you unlock the above benefits.
These uses cover the full sales funnel, from first touch to closed deal. Start with the ones that match your biggest bottlenecks rather than adopting them all at once.
1. Round-the-clock lead capture
AI chatbots qualify website visitors around the clock, eliminating the need for prospects to submit a contact form and wait for a reply.
Using a combination of generative AI, machine learning and predefined rules, a chatbot can greet visitors, answer common questions and book meetings.
For small businesses, AI lead capture turns out-of-hours traffic into a valuable pipeline. It also stops reps from wasting time on visitors who don’t meet their ideal customer profiles (ICPs).
Some chatbots don’t need AI to capture prospect information and route leads to the right person. Pipedrive’s Chatbot, for example, lets you create custom conversation flows to qualify leads and support customers 24/7.
Pipedrive in action: Pipedrive’s own sales team used the Chatbot feature to add 1,000 new leads to its Lead Inbox. By pre-qualifying leads, the team converted 30% of trialists to new customers.
As Fabiana Barbosa, Account Executive, explains:
“Implementing Chatbot has helped us to focus on calls and demos to customers during their free trial period and also avoid losing that opportunity.”
2. Lead qualification, scoring and prioritization
AI can sort through hundreds of leads and rank them based on customer behavior, fit and intent.
Even if you have hundreds of leads in your pipelines, sales reps can quickly see which prospects are worth pursuing.
It helps reps work faster and smarter, which is why recommending next-best actions is among the top uses of AI, according to McKinsey.
For example, Pipedrive Pulse analyzes your pipeline and sales activity. It predicts which deals are the most likely to close and suggests what to do next.
So if a prospect opened your last three emails, downloaded a gated asset and closely matches your pre-defined ICP, Pulse will flag them as a high-potential deal.
Instead of wondering where to focus their attention, time-stricken SMB reps can get a prioritized list of these opportunities and clear recommendations on how to move each one forward.
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3. Lead data enrichment
AI enrichment tools automatically fill gaps in your lead sales data by pulling in details such as job title, company size and industry.
It’s great for sales, and AI gives reps the information they need to quickly start conversations without spending 20 minutes on LinkedIn before each call.
Pipedrive’s Data Enrichment automatically fills in missing information in your customer relationship management (CRM) system at the click of a button by pulling in data from various sources, including LinkedIn and Google.
AI-powered lead enrichment also keeps your CRM cleaner over time, improving other tasks like customer segmentation, reporting and scoring.
4. Lead nurturing and customer engagement
Generative AI reduces the time and effort it takes to create personalized marketing and sales messages that nurture and engage leads.
For example, Pipedrive’s AI email writer creates drafts based on CRM data and sales activity.
It lets reps go from a blank page to a ready-to-send email in seconds with just a single natural-language prompt.
5. Marketing and sales enablement content creation
Generative AI can create first drafts of key marketing and sales enablement assets, such as case studies, one-pagers and battle cards, in minutes.
For example, marketers can use an AI chatbot like ChatGPT or Claude to create case study copy and an AI-powered design tool like Canva or Figma to design it.
The key is to treat AI-written drafts as a starting point, not the finished article. A rep or marketer should still review, edit and tighten the content to add the human nuance necessary to close a deal.
When done well, this AI-assisted approach helps small teams without a dedicated copywriter produce content volumes comparable to those of much larger teams.
6. Campaign performance analysis
AI-powered reporting tools surface patterns that time-strapped marketers may miss.
Team members can spot key trends, such as which channels drive pipeline growth, which campaigns convert and where budget is wasted.
An AI-powered platform can be especially valuable for small businesses where a single marketer may be responsible for the entire mix. Instead of building dashboards from scratch, AI can produce summaries, flag anomalies and suggest next steps.
For example, you can ask Pipedrive’s AI Report Generator to create sales performance reports in seconds from natural language prompts. Or it can tell you which channel drove the most inbound conversions in the last quarter.
If you aren’t sure which metrics to track, you can take inspiration from one of Pipedrive’s customizable dashboard templates.
7. Conversation intelligence that aligns sales and marketing
Conversation intelligence tools record, transcribe and analyze sales calls, then turn that data into shared insights for both sales and marketing teams.
For sales, this means coaching data, deal risk alerts and automated, accurate note-taking. Tools automatically deliver feedback to reps, allowing sales managers to focus their one-to-one efforts on the moments that matter most, rather than skimming through hours of recordings.
Conversation intelligence also accelerates employee onboarding by creating a library of example calls that help new reps get up to speed.
Pipedrive’s AI email summarization tool supports sales reps by generating concise and actionable summaries of long email threads, like in the image below:
Reps get a summary of the thread, an analysis of the sentiment, a readiness-to-buy score and a suggested next step.
For marketing, conversation intelligence means real evidence of which messages resonate, which objections occur most often and which pain points buyers actually talk about. It creates a feedback loop that marketers can use to optimize future marketing campaigns.
The best SMB AI tools for sales and marketing
The best AI-powered tools for sales and marketing will depend on your goals and internal workflows.
Here are four worth considering across different categories.
1. Pipedrive: best for integrating sales and marketing
Pipedrive is an AI-powered CRM built for small businesses that want to align and empower sales and marketing departments with a suite of AI tools.
AI features are embedded across the sales platform rather than in separate add-on tools. This format lets sales reps and marketers use them inside their existing CRM-based sales processes.
Pipedrive’s key AI capabilities include:
AI-powered notifications, which predict win probability, recommend next-best actions and flag deals that need attention
An AI email writer that drafts personalized outreach and follow-up emails from short prompts
AI-generated email summaries that condense long email threads into key points and suggested next steps
Workflow automation, which removes repetitive administrative tasks like CRM data entry, email follow-ups and deal updates
AI app recommendations, which help small businesses find the right integrations for their CRM through natural language search and smart recommendations
Pipedrive’s suite of AI tools is ideal for small businesses that may not have the budget to invest in five or 10 different platforms.
Pipedrive offers a free 14-day trial with pricing starting at $14 per month, billed annually.
2. Outdoo: best for conversational intelligence and coaching
Outdoo, previously MeetRecord, is a conversational intelligence tool that analyzes every call to help sales leaders coach reps, spot at-risk deals and surface insights for both sales and marketing.
The platform transcribes every sales conversation, scores them against custom playbooks and highlights sales coaching moments for each rep. It also includes a role-play function that lets reps simulate real-life conversations for each persona at each funnel stage.
For small businesses that can’t afford a full enablement team, Outdoo offers an affordable way to add structured coaching to your team.
It also integrates with major CRMs, including Pipedrive, logging every call in your CRM and generating summaries with AI.
3. Databox: best for AI-powered analytics
Databox is an AI-powered analytics platform that unites real-time data from sales and marketing into a single dashboard.
Databox’s AI features summarize results and flag anomalies. Its natural language processing analyst, Genie, answers any question about your performance and delivers real-time insights.
Sales reps can ask at which stage of the sales cycle they lose the most prospects. Marketers can ask which channel drives the most revenue growth or has the highest conversion rate.
It uses predictive analytics to tell marketers where metrics like traffic and sign-ups are headed, based on historical data and market trends. Reps can also use this for sales forecasting initiatives.
For small-business sales and marketing teams, Databox can save hours each week on manual reporting. AI-generated narratives help both departments explore their data to understand the reasons behind KPI changes and how to address them.
4. Zapier: best for AI workflow automation
Zapier is an AI orchestration platform that connects thousands of apps to create AI-powered workflows. It’s an effective way to integrate two or more apps that don’t have native integrations and to create autonomous AI agents.
Small businesses can streamline entire sales and marketing workflows using Zapier. For example, they could create a system that automatically qualifies leads, scores the opportunity and routes them to the best sales rep.
The platform has several built-in guardrails that keep data safe and ensure accurate outputs. These include:
Personally identifiable information (PII) detection
Prompt attack detection
Toxicity detection
Zapier lets you connect the AI model you currently use or migrate to new models or algorithms if you find a better solution.
How to build an SMB AI strategy for sales and marketing
The best way to avoid wasting time, energy and budget on AI is to make a plan before investing in tools.
Here’s a step-by-step framework you can use to successfully implement AI in your small business.
1. Audit your current workflows to spot where reps and marketers lose the most time
Start by mapping the areas where sales and marketing teams currently spend the most time on manual or administrative-heavy tasks.
Common culprits often include:
Content creation
Weekly reports
Lead research
One mapping method is to ask sales reps and marketers to log how they spend their time for a week. Then compare the time spent to the value generated to pinpoint opportunities for AI optimization.
For example, if a sales rep spends six hours each week logging call notes, updating deal stages and tidying CRM records, those tasks are obvious candidates for AI replacement.
2. Assess the risks and consider solutions
Work through the risks of adopting any AI tool and develop solutions to prevent or overcome them.
Data privacy and security are two of the most common concerns. Over one-quarter of respondents in Pipedrive’s State of AI in business report cite privacy and security as barriers to AI adoption.
Other risks include:
Hallucinations in generated content
Inaccurate outputs or recommendations
A lack of team buy-in
Alienating potential customers with over-automation
You can manage most of these risks with clear guidelines and human review.
For example, set a rule that a human must review every AI-drafted email or piece of marketing copy before it goes out.
Create an AI policy that covers which tools are approved, how customer data can be used and where AI sits within each workflow.
A lack of team buy-in is often the biggest blocker and the one that’s hardest to overcome. Both reps and marketers may worry that AI will replace them.
Address those concerns by showing how AI removes the parts of jobs people dislike, freeing them to spend more time on work that drives results. Involve the team in the tool selection process and run training sessions during the rollout to build momentum.
3. Prioritize two or three high-impact use cases to run as pilots
If you apply AI everywhere at once, you’re likely to frustrate employees and see fragmented results.
Pick one or two use cases and tie them to clear business goals, such as faster lead response times or higher win rates. It will focus your efforts and help employees to see the value of the technology.
Here are some tips on running a successful pilot program once you’ve chosen your use cases:
Set a fixed timeline between 30 and 90 days. A pre-defined window creates urgency, keeps the team focused and gives you a clear point to evaluate results.
Define clear KPIs and success metrics before you start. For a lead-scoring pilot, that might be conversion rate by score band or the percentage of high-priority leads that turn into opportunities.
Document your baseline before launch. Otherwise, proving your ROI later becomes guesswork.
A successful pilot will build internal credibility and make it easier to expand your efforts later. Use the results to secure budget for the next phase, choose which use cases to roll out across the wider team and build a roadmap for the rest of the year.
4. Choose tools that integrate with your CRM and other core tools
When choosing marketing or sales tools for your pilot projects, look for those that integrate with the platforms you already use.
Connections to your CRM are particularly important for sales and marketing teams. A standalone AI app that doesn’t sync with your CRM will create more silos, not fewer.
Pipedrive’s AI-powered Marketplace makes this easier by suggesting relevant integrations from hundreds of apps across email marketing, customer support and lead generation tools.
Examples of integrations with AI apps include:
Prioritizing tools with this kind of two-way sync keeps your CRM as the single source of truth and helps every team work from the same data.
5. Measure, optimize and repeat your success
Compare the results of your pilot with your baseline to assess the success of your AI initiative.
What does success look like? It depends on the use case, but the strongest pilots tend to show clear movement in one or more of these areas:
Time saved per rep or marketer each week
Higher conversion rates and win rates
Faster lead response times and shorter sales cycles
Better data quality
Positive feedback from teams using the tool
Pipedrive’s reporting features make this easy by tracking deal progression, conversion rates and team activity in one place.
Continue rolling out the use cases that delivered value, pause the ones that didn’t and create new pilot programs for other AI use cases.
Final thoughts
Succeeding with AI for marketing and sales requires focus and effort.
The small businesses that win with this technology are those that pick two or three high-impact use cases, choose tools that integrate with their existing tech stack and measure their results carefully.
Pipedrive brings sales and marketing AI into one place, with features such as AI notifications, email writing assistance and reporting. Sign up for a free 14-day trial to see how its AI features drive success.
