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Clay vs Apollo for Singapore Sales Teams: Which AI Prospecting Tool Should You Start With?

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Last updated: 10 November 2026

Apollo is usually described as the simpler starting point: a contact database with email sequences and calling in one product. Clay is usually described as the more flexible option: a workbench that pulls data from many providers and uses AI to research each account, with more to set up. Which one fits depends on your team size, who will maintain the setup and how much control you want over data sources. Whichever you consider, test it on a sample of your own Singapore accounts before you pay, and check who you may contact before you send anything.

Features and plans change often, so this comparison covers how each tool works in general and leaves prices to the vendors’ pricing pages. Sources are listed at the end. If you do not yet have a target list, start with our guide to AI lead generation for small sales teams. For the whole sales process, see our practical guide to AI for sales.

What are Clay and Apollo?

Apollo is a B2B database of contacts and companies that also offers an engagement suite and a workflow engine, as TechRepublic’s review describes it. The product pairs contact and company search with email sequences, a dialer and a browser extension. It is billed per user, with a free plan and a trial of the paid plans.

Clay positions itself as a tool for building go-to-market plays. It works like a spreadsheet: you list companies or people, and columns fill in by pulling data from third-party providers, running its AI research agent, Claygent, and sending the results to your CRM or sending tool. Its pricing page lists a free plan and paid plans, with usage measured in actions and data credits.

In short, Apollo pairs a database with outreach tools, while Clay connects many data sources in a workbench you design.

How do they differ at a glance?

QuestionApolloClay
Where does the data come from?Its own contact and company databaseThird-party data providers, plus your own sources and API keys
Can it send sequences?Yes, with email, call and task steps in built-in sequencesEmail sending and a sequencer are listed on paid plans, and many teams also send from another tool or their CRM
How much setup does it need?Reviewers report a first sequence within a day or twoReviewers report one to four weeks to get comfortable, in return for more control
What AI does it offer?AI email writing and research featuresClaygent, an AI agent that researches each row of a table
How is it priced?Per user, with creditsBy usage, with credits and actions
Who does it suit?Small teams that want one toolTeams with someone to design and maintain the workflow

Plans and limits change, so confirm the details on both pricing pages.

How much setup does each tool need?

Apollo is generally described as quick to start. You filter a database, build a list and launch a sequence in one place. Clay asks for more decisions up front: which data providers to use, in what order and what the AI should research for each row. In return, it offers control over data sources and logic that a single database does not, and reviewers put the learning period at one to four weeks.

Because Clay meters usage in actions and data credits, it pays to start with a small table and watch how credits are counted before you run a larger one. The same habit suits any metered tool.

How do you check data coverage for Singapore companies?

Neither vendor publishes verified coverage figures for Singapore SMEs, so coverage is worth testing. TechRepublic’s review notes that users report varying coverage for international data, and Databar’s comparison describes Apollo’s coverage as strongest in the United States. Clay holds no database of its own, so its coverage depends on the providers you connect.

Test it with your own accounts. Take about thirty Singapore companies that you know well, including a few customers, and compare how many contacts each tool finds and how many of those details are correct. Sample the segment you sell to, since coverage can differ by industry.

What does each tool cost to run?

Cost depends on usage, so estimate before you buy. With Apollo, count your users and the contacts you expect to reveal and export each month. With Clay, count the rows in your table, the lookups and research questions per row, and how often you will re-run it.

On both pricing pages, read the renewal and credit terms: whether unused credits carry over, whether seats or limits can change mid-term and what happens when credits run out.

How do you use each tool with AI?

Start from your ideal customer profile, because both tools work best when you know who you are looking for.

In Apollo, turn the profile into search filters such as industry, company size, location and job title. Review the list yourself, then use its AI features to draft first emails and edit them. Our AI cold email prompts show how to give an assistant enough context to write something specific.

In Clay, load your target companies into a table and add columns that answer one question each. Keep each question narrow and ask for evidence.

Look at this company’s website. Does it have more than one outlet? Answer yes, no or unknown, and give the page address that supports your answer. If you cannot find evidence, answer unknown.

With any AI research tool, check a sample of the answers against the websites before you rely on a column, because an AI agent can misread a page.

What must you check under the PDPA?

A contact detail from any tool is still personal data. Finding someone’s email address or phone number in a database does not give you permission to send them marketing messages.

In Singapore, marketing messages sent to Singapore telephone numbers fall under the Do Not Call provisions of the PDPA, and the PDPC guidelines exclude a message sent to an organisation for its own purposes. Bulk unsolicited commercial email and text messages are covered by the Spam Control Act. Our PDPA and cold outreach checklist sets out the checks in order. This is general information and not legal advice.

Which should you choose?

  • Consider Apollo if you have a small team, want to search and send from one place and have no one with time to build a workflow.
  • Consider Clay if you have someone who enjoys building workflows, you need data from several sources and you want AI to research each account before you write to it.
  • Start with neither if you cannot yet describe your ideal customer in a page. A tool will only speed up whatever plan you give it.
  • Use both once you are comfortable. Clay can use Apollo as one of its data providers, so some teams run the two together.

What should you keep in mind with any prospecting tool?

  • A tool speeds up your plan. If the target list is off, a faster tool sends more messages to the wrong people.
  • Bounced emails can hurt your sending reputation, so verify addresses and keep your first sends small.
  • Credits and seats add up, so set a budget before your first test.
  • Many companies draw on the same databases, so a distinct message matters.
  • Features and limits change. Re-read the vendor pages before you commit, and test on a free plan or trial first.

Comparing options is also part of selling. When a buyer compares you with another vendor, a competitor reference card gives your team checked facts to work from, and our guide to building a competitor reference card with AI shows the process.

Sources

Several of the comparisons below are published by vendors in adjacent markets, which is noted beside each link.

Frequently asked questions

Is Clay better than Apollo?

Neither is better in every case. Apollo is generally described as an all-in-one tool that is quick to start, which suits small teams. Clay is described as more flexible, pulling data from many providers and researching each account with AI, which suits teams with someone to build and maintain the workflow.

Can Clay and Apollo be used together?

Yes. Clay can use Apollo as one of its data providers, and some teams use Apollo for search and sequences while using Clay for extra enrichment and research. Start with one tool, and add the second when you can name a gap the first one does not fill.

Do I need Clay or Apollo to do AI prospecting?

No. An AI assistant, your CRM or a spreadsheet and public company websites are enough to start, as our guide to AI lead generation shows. Add a tool when the manual work is slowing you down and you know what you want it to do.

Are Clay and Apollo free?

Both offer a free plan with limits, and both charge for fuller use. The limits and plan details change, so check the current pricing pages and test on the free plan before you pay.

Is it legal to use Clay or Apollo to find contacts in Singapore?

Using a tool to research companies is a different step from contacting people. The PDPA and the Do Not Call provisions apply when you collect personal data or send marketing messages, so check the source of each contact and the rules for the channel before you send. This is general information and not legal advice.

Where does this guide fit in our AI for sales series?

Choosing a tool belongs to the prospect stage of selling with AI. Start with the practical guide to AI for sales, define your ideal customer with our guide to AI lead generation, then check permissions with the PDPA and cold outreach checklist. We also build a working prospecting flow in our two-day Mastering AI for Sales Growth and Team Dynamics course.

Build your AI prospecting flow in class

QD Academy’s two-day Mastering AI for Sales Growth and Team Dynamics course covers AI-powered qualified lead generation and a working prospecting flow across email, LinkedIn and your CRM, taught by practitioners and funded for eligible learners. Check the course page for the latest dates, fees and funding.

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