Tool Comparisons

    Apollo.io vs Seamless.AI: Cross-Category Comparison

    Seamless.AI no longer publishes a paid price and quotes annual credit packages. Apollo publishes a ladder. That asymmetry decides how the evaluation has to run.

    Branded cover: Apollo.io vs Seamless.AI: Cross-Category Comparison
    August 6, 2026Updated September 18, 202610 min read
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    The short answer

    Apollo vs Seamless.AI is one published ladder against one quote. Apollo.io lists $49, $79 and $119 per seat per month billed annually, with a free plan and a 14-day trial. Seamless.AI lists a free plan with 1 user and 50 credits and quotes its paid plans through sales. Start with Apollo.io, and add Seamless.AI only against a measured gap.

    Key takeaways

    • Apollo.io publishes $49, $79 and $119 per seat per month billed annually, carrying 30,000, 48,000 and 72,000 credits per seat per year granted upfront.
    • Seamless.AI publishes no price for Pro or Enterprise, lists a free plan with 1 user and 50 credits, and sells buyer intent, enrichment and autopilot as add-ons.
    • Evaluate in order: run Apollo.io on the real list, count the rows it returns empty, then sample those rows on Seamless.AI's free credits.
    • Buying both is reasonable only when Seamless.AI's real-time search resolves a meaningful share of the contacts Apollo.io missed.

    Reviewed and updated September 18, 2026

    Apollo vs Seamless.AI is a comparison where only one side can be priced from a web page. Seamless.AI used to publish a price and no longer does. Its pricing page now carries a free tier at 50 credits and quotes both paid tiers through sales, with annual credit packages rather than a monthly figure. The $147 a month Seamless.AI Basic plan recorded earlier is simply absent.

    Apollo.io publishes $49, $79 and $119 per seat per month billed annually. So one side of this comparison can be priced from a web page and the other cannot, which changes what the evaluation has to look like.

    Apollo vs Seamless.AI: which one do you need?

    Start with Apollo.io. It publishes its prices, $49, $79 and $119 per seat per month billed annually, has a free plan and a 14-day trial, and bundles a contact database with sending. Add Seamless.AI only against a measured gap: its real-time search is worth a quote when it resolves the contacts Apollo.io returns empty. Seamless.AI's free plan is 1 user and 50 credits.

    Apollo.io's published price ladder beside Seamless.AI's free plan and quote Apollo.io Seamless.AI per seat a month, annual per user, by quote Free $0 900 credits a year Basic $49 30,000 credits a year Professional $79 48,000 credits a year Organization $119 72,000 credits a year 3 seat minimum Free $0 1 user, 50 credits Pro and Enterprise Contact Sales Annual credit packages Add-ons priced on top
    One published ladder and one quote, as each vendor's own pricing page reads today.

    Why Compare These Two Tools?

    Data enrichment tools provide the contact data that sales engagement platforms use for outreach sequences. The question for buyers is often whether an all-in-one platform that includes data can replace a dedicated enrichment tool.

    Apollo.io is a sales engagement platform focused on multi-channel sales outreach. Apollo.io is an all-in-one sales intelligence and engagement platform combining a 240M+ contact database with automated sequences, email outreach, dialer, and AI-powered workflows for prospecting at scale.

    Seamless.AI is a data enrichment tool focused on B2B lead data and contact enrichment. Seamless.AI is an AI-powered sales lead platform with real-time contact search engine, pitch intelligence, and data enrichment for B2B prospecting.

    Seamless.AI positions itself as a real time search engine for contacts rather than a static index, searching for email addresses and cell numbers at the moment of the query. Pitch intelligence, an AI writing assistant and a Chrome extension sit alongside, and buyer intent, job change tracking and autopilot list building are sold as add-ons rather than included. The free tier carries 50 credits, which is a demonstration allowance rather than a working one, and both paid tiers are quoted with annual credit packages.

    Where Each Tool Fits in Your Workflow

    AspectApollo.ioSeamless.AI
    CategorySales Engagement PlatformData Enrichment Tool
    Workflow StageOutreach orchestrationLead sourcing and data
    Primary FocusMulti-channel sales outreachB2B lead data and contact enrichment
    Starting PriceFreeFree

    What Each Side Actually Does in a Cold Outbound Run

    Apollo.io covers more of this run than one category label suggests. The same seat that sends the sequence also searches the database, reveals a contact and enriches a CRM record, and Apollo's pricing page meters all of it from one credit pool per seat. So the useful question on this page is not which product sends the email. It is whether Apollo's own data holds up on the accounts that matter, and where Seamless.AI earns a second line on the invoice.

    The run itself still has a fixed shape. Build the list, resolve and verify a mailbox for every person on it, then send. RevenueFlow runs one message per campaign, so there are no bump steps and no thread replies scheduled behind the first send. A prospect who does not answer gets re-approached later in a new campaign with a different angle, never with a second message stacked under the one they ignored, and on LinkedIn that second message does not get sent at all.

    Reading the reply and booking the meeting sit outside both products. A meeting counts when it matches criteria agreed in writing before launch, which is a commercial decision rather than a feature, and it is the number worth measuring either purchase against.

    Pricing Comparison

    Section illustration: Pricing Comparison

    Apollo.io Pricing

    PlanPriceCreditsSeats
    FreeFree900 credits per seat/year, granted monthly1 or more
    Basic$49/mo30,000 credits per seat/year, granted upfront1 or more
    Professional$79/mo48,000 credits per seat/year, granted upfront1 or more
    Organization$119/mo72,000 credits per seat/year, granted upfront3 minimum

    Every paid price above is the per seat per month rate billed annually, and the Organization tier carries a three seat minimum.

    Source: Apollo.io Pricing

    Seamless.AI Pricing

    PlanPriceContactsEmails
    FreeFree1 user, 50 creditsN/A
    ProContact SalesPer user, unlimited exports, annual credit packagesN/A
    EnterpriseContact SalesCustom creditsN/A

    Seamless.AI no longer publishes a price for any paid tier. The $147 a month Basic plan recorded earlier is absent from the pricing page now, and both paid tiers are quoted through sales.

    Source: Seamless.AI Pricing

    Reading the Two Price Shapes Together

    One published ladder, one quote. Apollo is $49, $79 and $119 per seat per month billed annually, carrying 30,000, 48,000 and 72,000 credits per seat per year granted upfront, and its own page marks annual billing "Save 24%". Seamless.AI publishes no figure against Pro or Enterprise on that page, and the paid shape is described there as annual credit packages sold per user.

    The practical consequence is that a Seamless.AI evaluation starts with a conversation and an annual commitment, while an Apollo evaluation starts with a card and a 14 day trial. Quality is a separate question, and the difference here is how much a team can learn before committing money.

    What One Year of This Stack Actually Costs

    The numbers below are invented for the example. Where a vendor publishes no price on the page cited, that is said rather than estimated.

    Two Apollo Basic seats billed annually are $49 per seat per month, so $98 a month and $1,176 for the year, carrying 60,000 credits across the two seats. The Apollo side of the stack is knowable to the dollar before anyone is contacted.

    Illustrative: two Apollo.io Basic seats cost $1,176 a year for 60,000 credits 2 invented seats x $49 a seat a month x 12 months $1,176 for the year, carrying 60,000 credits The Seamless.AI half is a quote Ask what a package costs per contact against that, on the same list, add-ons priced in
    The Apollo.io half of the stack as arithmetic. Two seats is an invented team size; the rate and the credits are published.

    The Seamless.AI half cannot be completed from public information, so the useful work is preparing the quote request. Ask for it in the units the motion actually consumes: contacts a month, how many need a mobile number, whether buyer intent and job change tracking are inside the package or priced as the add-ons the page lists them as, and what the credit package renews at rather than what it costs in year one.

    Then bring a comparison number. If Apollo already covers 60,000 contacts a year for $1,176, the question to put to the quote is what a Seamless.AI package costs per contact against that, on the same target list, with the add-ons priced in. A quote evaluated without a published alternative beside it is very hard to judge.

    Feature Highlights

    Apollo.io Key Capabilities (Sales Engagement Platform)

    • B2B contact and company database (240M+ contacts)
    • Multi-channel sequences (email, phone, LinkedIn)
    • AI-powered email writing and optimization
    • Built-in dialer with call recording
    • Automated workflows and engagement rules
    • A/B testing for email sequences
    • Buying intent signals and job change alerts
    • Advanced lead scoring and filtering
    • Email deliverability tools and mailbox rotation
    • Conversation intelligence (Professional+)

    Seamless.AI Key Capabilities (Data Enrichment Tool)

    • Real-time B2B contact search engine
    • Email and cell phone lookups
    • Pitch intelligence
    • Data enrichment
    • Buyer intent data (add-on)
    • Job changes tracking (add-on)
    • Autopilot list building (add-on)
    • AI writing assistant
    • Chrome extension
    • Enterprise security and compliance

    Where the Two Actually Overlap

    Both hold contact data, both run a Chrome extension, both integrate into the same CRMs and both carry an AI writing assistant, so the overlap on paper is substantial. Apollo's plan cards add the sending half outright: unlimited sequences from Basic, a deliverability suite with email warmup, domain and mailbox purchasing, and a dialer.

    The genuine difference in kind is the search model. A real time lookup and a static index behave differently on obscure or recently changed records, and that difference shows up on exactly the rows a general database misses. It does not show up on a feature list, which is why the evaluation has to be a coverage test on failed rows rather than a comparison of capability bullets.

    On both

    The overlap

    • Contact data
    • A Chrome extension
    • The same CRMs
    • An AI writing assistant

    Apollo.io only

    The sending half

    • Unlimited sequences from Basic
    • A deliverability suite with email warmup
    • Domain and mailbox purchasing
    • A dialer

    Different in kind

    The search model

    • A real time lookup against a static index
    • It shows on obscure or recently changed records
    • Only a coverage test on failed rows reveals it
    Where the two overlap on paper, what only Apollo.io's plan cards add, and the one difference a feature list cannot show.

    Integration Ecosystem

    Apollo.io Integrations

    Apollo.io connects with: Salesforce, HubSpot, Pipedrive, Gmail, Microsoft Outlook, LinkedIn, Zapier, Slack, Sendgrid, Outreach, Salesloft, Webhooks API.

    Seamless.AI Integrations

    Seamless.AI connects with: Salesforce, HubSpot, Outreach, SalesLoft, Pipedrive, Microsoft Dynamics 365, Zapier.

    Shared Integrations

    Both tools integrate with: Salesforce, HubSpot, Pipedrive, Zapier, Outreach, Salesloft. This shared ecosystem means they can work together in your tech stack.

    When to Choose Which

    Section illustration: When to Choose Apollo.io

    Apollo.io first, then sample the failed rows on Seamless.AI's free credits 1. Run Apollo.io on the real target list A published ladder can be tested cheaply 2. Count the rows it returns empty That number is the thing being bought 3. Sample them on the free 50 credits Spent on easy rows, they tell nobody anything 4. Let the hit rate price the quote Per contact, against Apollo.io's public rate Buy both It resolves the misses Stay on one Features only look alike
    The order this page recommends: Apollo.io first, and Seamless.AI only against the rows Apollo.io could not fill.

    Read that split as a question about which gap is open rather than about which product is better. Seamless.AI answers a sourcing question and Apollo.io answers a sending one, and a team that names the wrong gap buys a capable tool that changes nothing.

    Do You Need Both, and in Which Order?

    Apollo first, and Seamless.AI only against a measured gap.

    The reasoning is the same as for every quoted product on this shelf. A published ladder can be tested cheaply, and a quote cannot. So establish what Apollo actually delivers on the real target list, count the rows it returns empty, and take that number into the Seamless.AI conversation as the thing being bought.

    The free 50 credit tier is enough to sample those failed rows. That is the whole purpose it can serve, and it is worth using deliberately rather than as a general trial, because 50 credits spent on easy rows tells nobody anything.

    Both is a reasonable outcome when the real time search genuinely resolves a meaningful share of the misses. It is not a reasonable outcome when the second line is bought because a comparison page listed similar features.

    Using Both Together

    Section illustration: Using Both Together

    When both earn a place, Apollo.io runs the sending and Seamless.AI fills the rows it missed, and the two meet in a CRM they both list: Salesforce, HubSpot or Pipedrive.

    Rolling It Out Without Breaking the Run

    Sample before quoting. Take the rows Apollo returned empty, run as many as the free 50 credits allow, and let the hit rate on those rows set what the quote is worth.

    Whichever order the two arrive in, keep the sending inventory out of it. Sender domains, mailbox warmup and daily caps are their own project, and a stack change made in the same week as a sending change leaves nothing to attribute a bounce rate to. Change one layer, let a full wave run, then change the next.

    Two more habits save real money. Run the trial on accounts already worked rather than on a fresh list, because the only coverage question that matters is coverage on the segment being sold to, and a vendor's own sample is chosen to look good. And export what the incumbent already found before any subscription lapses: contact records bought once are cheap to keep and expensive to buy twice.

    Decision Framework

    1. Name the gap before naming a tool. Write down which stage is actually costing meetings: a list that runs out, addresses that bounce, or messages that never go out on time. A stack decision made without that sentence is a preference.
    2. Check what the existing stack already covers. Overlapping spend is the normal failure here, and it is usually invisible because the two products are filed under different budget lines.
    3. Price the whole year, not the entry tier. Seat minimums, annual billing and per-credit top-ups move the real number more than the headline price does.
    4. Trial on the accounts being sold to. Coverage is a property of a segment, not of a database, so a sample drawn from the target list is the only test worth running.
    5. Measure at the pipeline, not per tool. Both products feed one funnel, so the honest measure is meetings booked against criteria fixed in advance, read before and after the change.

    The Short Version

    Needs a price it can check today: Apollo. Has a measured gap on hard rows and budget for an annual commitment: get the Seamless.AI quote, priced per contact against Apollo's published rate. Evaluating on features alone: neither, until a coverage test has been run.

    If you would rather have this run for you, RevenueFlow books qualified meetings on a pay-per-meeting basis and publishes client results.

    Pricing and features are taken from the vendors' own pages. Verify current terms with the vendor before relying on them.

    Questions

    Frequently asked questions.

    Frequently asked questions
    Is Apollo or Seamless.AI better?
    Apollo.io is the better starting point because it can be tested cheaply: it publishes its prices, offers a free plan and a 14-day trial, and bundles a contact database with sequences, a dialer and warmup. Seamless.AI is worth adding when its real-time search finds contacts Apollo.io returned empty on your own target list, which only a coverage test shows.
    How much does Seamless.AI cost compared with Apollo?
    Apollo.io's pricing page lists Free at $0, Basic at $49, Professional at $79 and Organization at $119 per seat per month billed annually. Seamless.AI publishes no figure for its Pro or Enterprise plans and routes both to Contact Sales with annual credit packages. Its only published number is the free plan, 1 user and 50 credits.
    Can I use Apollo and Seamless.AI together?
    Yes, and both list Salesforce, HubSpot and Pipedrive, so records meet in the CRM. The sensible arrangement is Apollo.io for sending and general coverage, with Seamless.AI filling the rows Apollo.io missed. Buy the second tool against a measured gap, priced per contact against Apollo.io's published rate, and never because two feature lists looked similar.
    What is the Seamless.AI free plan good for?
    Its pricing page describes it as best for an individual getting started, with 1 user and 50 credits. That is a demonstration allowance, so spend it deliberately: run it on the contacts your current database failed to find. Fifty credits used on easy rows tell you nothing, while fifty used on failed rows show whether a quote is worth requesting.
    Apollo.ioSeamless.AISales Engagement PlatformData Enrichment ToolCross-Category Comparisonsales-engagementdata-enrichment
    Byline

    About the author.

    Tim Carden

    Tim Carden is CMO / CTO at RevenueFlow, which builds and operates outbound revenue engines for B2B companies. Studied at McGill University.

    Tim Carden · CMO / CTO

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