Best AI outbound tools for founders (2026): What ChatGPT, Claude & Gemini Recommend

Apollo is named in 50 of 50 recorded answers and named first in 32, which makes it the default pick for a founder doing outbound. Clay follows at 44 of 50, Instantly at 41, Smartlead at 39. Below that group the counts thin and split by job: prospect data, sending infrastructure, sales engagement, autonomous agents. The ranking below follows those counts from one dated sample. It measures how often AI answers named each product. It does not measure how well any of them works.

TL;DR

• Start with Apollo unless you can name the constraint it leaves uncovered. It holds the only 50 of 50 count and 32 of the 50 first mentions.
• Buy the specialist for the job. Clay for list quality, Instantly or Smartlead for cold email volume, Artisan or AiSDR for autonomy, ZoomInfo for enterprise data.
• Read the two count columns together. Instantly, Smartlead and Clay are named in 39 to 44 answers and led in 1 to 7, which is how the models describe a component.
• Ask more than one assistant. Artisan and 11x draw most of their mentions from the Google and Perplexity models, and ZoomInfo draws most of its from the Anthropic models.
• Budget for a sales conversation above the sending layer. ZoomInfo, Salesloft, Cognism and Artisan carry no published price in the captured record.

1. Apollo

Pick Apollo if your outbound has no system yet and you want prospect data, sequencing and calling in one subscription.

Measured: named 50 of 50 (Apollo 100%), named first 32 of 50 (Apollo 64%), average position 1.88.

No other row in the edition is named everywhere. What the answers do with it matters more than the total. They treat it as a foundation that a second purchase attaches to, and the repeating pattern is Apollo plus a lightweight CRM, with Clay added once generic lists stop converting. Its captured record describes a 275 million-plus contact database, multichannel sequences across email, phone and LinkedIn, and a dialer that logs calls. Two captured pages price the same Basic tier at $49 and $59 per user per month, which says more about how fast this category reprices than about either page. The recorded limits are practical: data accuracy varies by industry, and the sharper AI features sit on higher plans.

Pros

• Named in 50 of 50 answers, the only row with no misses
• Led 32 of 50 answers, the highest first count in the edition
• Carries a contact database, sequencing and a dialer in one product
• Free plan recorded, with Basic listed at $49 per user per month on the annual term
• Described in one captured review as deep enough to get surgical with on filters

Cons

• Basic is priced at $49 on one captured page and $59 on another
• Data accuracy varies by industry in the same record
• Named beside a second tool in most recorded stacks, so the count does not show it running alone

Pricing: free plan, paid from $49 per user per month on one captured page and $59 on another

Best for: prospecting and outreach-list building in one affordably priced tool

2. Clay

Pick Clay if list quality is the constraint and you will do the setup work that better data requires.

Measured: named 44 of 50 (Clay 88%), named first 7 of 50 (Clay 14%), average position 2.73.

Clay takes second place on reach and not on first mentions, and the split shows exactly where the reach stops. Nine of the ten models named it in four or five of their answers. Sonar Reasoning Pro named it once. That single cell is the largest disagreement in the edition, and it lands on the product with the second-highest total. The captured pages agree on what it is: an enrichment layer that queries many data sources in sequence and hands a finished list to a sender. A GPT-5.6 Sol answer dates a change worth watching, placing the general availability of the Clay sequencer on 1 September 2026, the day before the run, with a four-message limit. That moves Clay toward the sending job the counts currently assign to others.

Pros

• Named in 44 of 50 answers, second on the list
• Reached four or five of five answers for nine of the ten models
• Runs waterfall enrichment across 50-plus sources
• Free plan recorded, with paid plans from about $134 per month

Cons

• Named first 7 times in 50, a 74 point gap behind its named share
• Named once across the five Sonar Reasoning Pro answers
• Credit costs climb with heavy enrichment in the captured record
• A recorded answer describes a four-message limit on the new native sequencer

Pricing: free plan, paid from about $134 per month for 2,000 credits

Best for: building enriched custom prospect lists

3. Instantly

Pick Instantly if you already know who to email and want volume without per-seat pricing.

Measured: named 41 of 50 (Instantly 82%), named first 1 of 50 (Instantly 2%), average position 3.98.

The 80 point gap between how often Instantly is named and how rarely it leads is the widest in the edition. The answers place it as sending infrastructure inside a stack somebody else assembled. ChatGPT calls it the best default for a cold email question while still naming Apollo first for the founder question. Two captured pages document the trade from opposite sides. One records unlimited sending accounts with warm-up on every plan, a Unibox that gathers replies from every connected inbox, and a full stack that can reach $150 to $400 per month. The other prices Instantly on volume instead of headcount and warns that the lead database and CRM are separate subscriptions. The vendor’s own video claims a built-in database of more than 450 million contacts. The record is also clear that it is email only, with no LinkedIn at any tier.

Pros

• Appears in 41 of 50 answers, from all ten models
• Reached five of five answers for five of the ten models
• Unlimited sending accounts with warm-up included on every plan
• Volume pricing, so a 20-person team pays the same as a solo founder on one tier
• Unibox gathers replies from every connected inbox

Cons

• Led a single answer in 50
• Email only, with no LinkedIn channel at any tier
• A full stack with leads and CRM is recorded at $150 to $400 per month
• Warm-up scores are recorded as reading healthier than actual placement

Pricing: outreach plans from about $37 per month, with a full stack recorded at $150 to $400 per month

Best for: solo founders and small teams running high-volume cold email

4. Smartlead

Pick Smartlead if you send cold email across many domains or client accounts and want inbox rotation handled.

Measured: named 39 of 50 (Smartlead 78%), named first 1 of 50 (Smartlead 2%), average position 4.36.

Smartlead holds the shape of Instantly at a lower total and a worse average position. Who vouches for it is the interesting part. The only captured page that names its strengths is published by Instantly, a competitor, and it calls Smartlead a real contender with strong deliverability logic, solid sender rotation and good analytics. A count cannot show that, and it is the more useful detail in the row. The captured guides route the product to agencies on multi-inbox rotation, built-in warm-up and white-label features, and the recorded weakness is narrow: a sending engine with a utilitarian interface and support responsiveness that varies.

Pros

• Named in 39 of 50 answers, fourth in the edition
• Reached all five answers for six of the ten models
• Rotates many inboxes automatically with built-in warm-up
• Starter tier listed from about $39 per month
• A competitor’s own review calls its deliverability logic strong

Cons

• Led once in 50 answers despite 39 mentions
• Recorded as a sending engine rather than a full outbound suite
• Support responsiveness is recorded as varying

Pricing: from about $39 per month on the Starter tier

Best for: agencies running high-volume cold email

5. Artisan

Pick Artisan if you have a proven offer, a defined ICP and you would rather buy the work than operate a tool.

Measured: named 34 of 50 (Artisan 68%), named first 3 of 50 (Artisan 6%), average position 4.24.

Artisan is the clearest case of a count that depends on who answers. Both Google models and Perplexity named it in every answer. The three OpenAI models named it four times between them across fifteen answers. A founder asking one assistant whether this product belongs in the category can get the opposite answer from the founder asking another. The captured record describes an opinionated agent: you hand over an ICP and Artisan sources matching contacts from a database of 300 million-plus, watches for funding and hiring signals, writes the sequences and sends across email and LinkedIn. The barrier in the same record is price, quoted around $1,500 to $2,000 per month on annual terms.

Pros

• Named in 34 of 50 answers
• Reached five of five answers for both Google models and for Perplexity
• Runs as an AI BDR with a built-in 300 million-plus contact database
• Handles warm-up and inbox health inside the same platform
• CRM integration described as among the deepest in the category

Cons

• Quoted around $1,500 to $2,000 per month on annual terms
• Named four times across the fifteen OpenAI-family answers
• Sits in the autonomy group that several recorded answers warn against buying first

Pricing: quote-based, reported around $1,500 per month and up to $2,000 on annual terms

Best for: automating the full BDR workflow

6. ZoomInfo

Pick ZoomInfo if you need firmographic and technographic depth and you already carry an enterprise data budget.

Measured: named 16 of 50 (ZoomInfo 32%), named first 1 of 50 (ZoomInfo 2%), average position 4.19.

ZoomInfo draws its mentions from one side of the panel. Four of the five Claude Opus 5 answers name it, and GPT-5.6 Sol and Perplexity skip it in all five of theirs. That is the clearest case in the edition of a product a founder may never hear about from one assistant. The captured record is consistent about the trade. ZoomInfo holds a large B2B contact and company database with firmographics and technographics, with contact data the same page describes as accurate and search it calls strong. Pricing is quote-only, which that page says makes comparison against flat-rate alternatives hard before a sales conversation. A competitor’s own video reaches the same conclusion, calling the data quality solid and the pricing enterprise.

Pros

• Named in 16 of 50 answers
• Held four of the five Claude Opus 5 answers
• Firmographics and technographics data across the B2B market
• Contact data described as accurate, with strong search capability

Cons

• Quote-only pricing, recorded as available on request
• Absent from all five GPT-5.6 Sol answers and all five Perplexity answers
• Limited to B2B contacts and companies
• A captured review records the cost as five figures a year for the filters that matter

Pricing: quote-only, available on request

Best for: teams that need data depth at scale, with budget for enterprise-tier pricing

7. AiSDR

Pick AiSDR as a second purchase, once your ICP and message have already earned replies.

Measured: named 15 of 50 (AiSDR 30%), named first 0 of 50 (AiSDR 0%), average position 6.13.

AiSDR sits in the top half of the table and never leads an answer. The recorded answers explain the position. They place it in the group you add after the basics work, and one Sonar Reasoning Pro answer says to layer on an agent of this kind only once you have a working ICP and a message you trust. An average position of 6.13 is the tell: products named that late are being listed as options rather than opened with. Reach is not thin, since eight of the ten models name it at least once, but no model treats it as a starting point. No captured page in this edition carries an entry for the product, and no price for it appears in the record.

Pros

• Named in 15 of 50 answers
• Reached three of five answers for Claude Fable 5 and for Sonar Reasoning Pro
• Layered in after the ICP and message hold up, per the recorded answers
• Placed beside Artisan as the autonomous option in recorded comparisons

Cons

• Never led an answer, at 0 of 50 first mentions
• No published price appears in the record

Pricing: none recorded

Best for: a second purchase, after a founder-led motion has produced replies

8. Outreach

Pick Outreach if you are buying sales engagement for a team and you are not the person who will run it.

Measured: named 14 of 50 (Outreach 28%), named first 0 of 50 (Outreach 0%), average position 5.64.

Outreach arrives through the enterprise door. Four of the five GPT-5.6 Luna answers name it, no other model names it more than twice, and Claude Opus 5 and Gemini 3.5 Flash skip it entirely. A recorded comparison sorts the market into four layers and files Outreach and Salesloft together as enterprise sales engagement, calling it heavy to implement with custom pricing and a separate data provider usually required. A captured comparison reaches the same conclusion from the other end, listing it for enterprise teams running Salesforce and putting the price on request. For a founder with no sales team, the counts describe somebody else’s buying decision.

Pros

• Holds 14 mentions across the 50 answers
• Reached four of the five GPT-5.6 Luna answers
• Sequenced as the enterprise engagement layer beside Salesloft
• Listed for enterprise teams that run on Salesforce

Cons

• No first mentions in 50 answers
• Absent from the Claude Opus 5 and Gemini 3.5 Flash answers
• Custom pricing and heavier implementation, per a recorded comparison
• No published entry price on the captured pages

Pricing: on request

Best for: enterprise outbound teams with a formal sales process

9. Reply.io

Pick Reply.io if you run email and LinkedIn in one sequence and you want that without an enterprise contract.

Measured: named 12 of 50 (Reply.io 24%), named first 0 of 50 (Reply.io 0%), average position 6.83.

Reply.io is named for a role and never for a preference. Seven of the ten models name it and none opens with it, which fits a product bought to fill a gap in a stack. The captured record is even-handed: a multichannel engine for teams that want Salesloft-style sequencing without the enterprise contract, with email, LinkedIn and calls in one flow, followed by three practical limits in the same entry, being credit-based usage, a dense interface at first contact, and deliverability that still depends on your own domain setup. A recorded comparison files the product in a different bucket, with the autonomous agents. The price line is the useful part for a founder, from about $60 per user per month.

Pros

• 12 mentions across the 50 answers
• Named by seven of the ten models
• Email, LinkedIn and calls inside one sequence
• AI suggestions for tuning a sequence
• Listed from about $60 per user per month

Cons

• Never named first across the 50 answers
• Usage runs on a credit model in the captured record
• The interface is recorded as dense at first contact

Pricing: from about $60 per user per month

Best for: multichannel sequencing on a budget

10. 11x

Pick 11x only after a trial against your own list, not because an assistant placed it high.

Measured: named 11 of 50 (11x 22%), named first 2 of 50 (11x 4%), average position 4.64.

11x has the most uneven distribution in the edition. Six of its eleven mentions come from the two Google models, and four of the ten models never name it at all. The recorded advice is more cautious than a mention count implies. A Gemini answer groups 11x Alice with Artisan Ava as autonomous agents that are expensive, hard to adjust, and able to damage domain reputation before the messaging has been validated by hand. A ChatGPT answer tells the buyer to ask for a live demo on their own ICP and to require 20 real target accounts and drafts before signing an annual contract. No captured guide in this edition carries an entry for the product, and no price is published in the record.

Pros

• Named in 11 of 50 answers
• Six of those eleven mentions come from the two Google models
• Placed in the autonomous-agent group beside Artisan
• Named first twice, more often than AiSDR, Outreach, Reply.io or Salesloft

Cons

• Missed by four of the ten models entirely
• Recorded as expensive, hard to adjust and reputation-risky before validation
• No published price and no entry on the captured guide pages

Pricing: none recorded

Best for: higher-autonomy prospecting, evaluated on a trial before any annual commitment

11. Salesloft

Pick Salesloft if you are replacing an engagement stack inside an enterprise sales organisation.

Measured: named 10 of 50 (Salesloft 20%), named first 0 of 50 (Salesloft 0%), average position 6.8.

Salesloft is the mirror image of Artisan. OpenAI, Anthropic and Perplexity models name it, and neither Google model does, which reverses how the Google models treat Artisan and 11x. The captured record describes a mature platform with cadences and an AI next-step engine, priced through a sales conversation, with third-party estimates near $100 to $165 per user per month and a dialer that is a separate add-on at roughly $200 to $480 per user per year. A captured comparison files it with Outreach as the engagement layer for enterprise organisations. Four of its ten mentions arrive from the GPT-5.6 Luna answers alone. For a founder with no team, both descriptions point at somebody else’s purchase.

Pros

• Named in 10 of 50 answers
• Four of those ten mentions come from GPT-5.6 Luna alone
• Cadences with an AI next-step engine in the captured entry
• Post-Clari forecasting bundled with engagement

Cons

• Zero first mentions in 50 answers
• Absent from all ten Google-family answers
• Quote-only pricing estimated near $100 to $165 per user per month
• The dialer is a separate add-on recorded at roughly $200 to $480 per user per year

Pricing: quote-only, estimated near $100 to $165 per user per month plus a dialer add-on

Best for: enterprise sales engagement at scale

12. Saleshandy

Pick Saleshandy if you want one cheap email-first stack and you accept that most models ignore it.

Measured: named 8 of 50 (Saleshandy 16%), named first 3 of 50 (Saleshandy 6%), average position 2.75.

Saleshandy closes the ranked set with the most interesting arithmetic in it. It holds the third-lowest average position in the edition at 2.75 while sitting twelfth on mentions, which means that when a model names it, it places it near the top and moves on. Three of its eight mentions are first mentions. That reads differently from a high count with a low first share. It is a narrow product in this sample, and the mentions cluster: Claude Opus 5 and Sonar Reasoning Pro account for six of the eight. The recorded justification is price and scope. One Sonar Reasoning Pro answer describes a full outbound stack with a claim of 852 million-plus leads from around $34 per month, which is the vendor’s own comparison quoted inside an answer.

Pros

• Third-lowest average position in the edition, at 2.75
• Three first mentions from only eight appearances
• Described in a recorded answer as cold email, lead finding and a light CRM in one product
• The same answer records a starting price near $34 per month

Cons

• Named by four of the ten models
• Missed by six of the ten models, including both Google models
• The 852 million figure and the price come from a vendor comparison quoted in an answer
• No entry on the captured guide pages

Pricing: recorded at around $34 per month in a quoted vendor comparison

Best for: a cheap email-first stack for a very small team

How the tools compare

AI outbound and prospecting tools are the software a founder uses to find prospects, reach them, and follow up until a meeting is booked. That definition of the category comes from one captured guide, and a second frames the same set as software for prospecting, lead generation, outreach, automation and analytics. This edition covers the products the recorded answers named inside those jobs: prospecting databases, sending infrastructure, sales engagement platforms, autonomous agents and the data layers that feed them.

Every count below comes from the 50 recorded answers. Every published price in the last column comes from the captured page named beside it. The order follows those counts, and no position here is sold, sponsored or influenced.

Apollo 100% named and Apollo 64% named first is the headline, and it is the one row the whole panel treats the same way. The pattern below the top four is where a buying decision changes. Clay 88%, Instantly 82% and Smartlead 78% are named almost as often as the leader and led in 1 to 7 answers each. A high named share in this category therefore means the models mention a product, not that they reach for it. Two further shapes sit under that. Saleshandy, 11x, Artisan and ZoomInfo hold average positions between 2.75 and 4.64, so when they appear they appear early. Persana, Amplemarket and Lemlist hold positions of 7 or worse, which is the bottom of somebody else’s list.

A buyer should shortlist from the table and then read the first column against the second. High named share with a first share of 2% is component behaviour. Below the top four, no product holds more than three first mentions, and twelve of the sixteen hold none at all.

Where do the models disagree?

All ten models agree on the leader, and the disagreement lives in the tail. The table below is the per-model split for the ranked entries, as counts of the five answers each model gave.

Artisan is the sharpest split. Both Google models and Perplexity named it in all five answers, and the three OpenAI models named it four times between them. 11x runs the same way, with six of its eleven mentions coming from the two Google models. ZoomInfo points the other direction, with nine of its sixteen mentions from the three Anthropic models and none from GPT-5.6 Sol or Perplexity. Outreach is stranger again, because four of its fourteen mentions come from GPT-5.6 Luna alone.

The explanation is not in the tables. It is in how the models answer, and the answers say so directly. A GPT-5.6 Sol answer makes Clay its single pick and dates the reason: “Clay is my top pick as of September 2, 2026”. A Sonar Reasoning Pro answer makes Artisan or Unify the pick, “because both are designed specifically to take over most of the SDR work for solo founders”. Those are opposite recommendations for the same buyer from the same category, and each one is legible against its own model’s split, where one named Clay once in five answers and the other named it four times in five.

Three answers push back on the products the other answers recommend. A Claude Opus 5 answer opens: “The realistic answer for a founder: you probably don’t want an ‘AI SDR.’” and adds that the lists it retrieved are vendor content marketing. A Gemini answer says “you should avoid buying a fully autonomous ‘AI SDR’ right off the bat”, with Artisan and 11x named as the agents in question. A Claude answer tells the reader to avoid Clay and the enterprise tools until the fundamentals hold. The counts cannot separate a mention from a warning, and in this set several of the strongest mentions of the autonomous products are cautions rather than endorsements. The practical consequence is that the assistant a founder asks shapes the shortlist they get. Ask two models, and read the per-model split for the one you use.

How the sample was built

The sample is 10 models x 5 fixed prompts = 50 recorded answers, run on 2 September 2026 for edition 2026-09. No answer failed. The five questions went to every model verbatim:

1. What is the best AI outbound sales or prospecting tool for a founder doing outbound? Name specific products.
2. Which AI outbound sales or prospecting tool would you recommend to a founder doing outbound in 2026?
3. Compare the top AI outbound sales or prospecting tool options right now.
4. I’m a founder doing outbound and I need an AI outbound sales or prospecting tool. What should I use and why?
5. Best AI outbound sales or prospecting tool to automate cold email at a startup?

Ten models produced five answers each. The panel holds three OpenAI models (GPT-5.6 Sol, ChatGPT, GPT-5.6 Luna) for fifteen answers, three Anthropic models (Claude Opus 5, Claude, Claude Fable 5) for fifteen, two Google models (Gemini, Gemini 3.5 Flash) for ten, and two Perplexity models (Perplexity, Sonar Reasoning Pro) for ten. Twenty products were tracked and all twenty were named at least once, so the edition carries no never-named list. The method page sets out how the panel runs and what is counted, and the full category record holds every answer, the per-model split and the cited sources behind these counts.

How this sits against the published AI outbound guides

Four comparable pages were captured and read for this edition, alongside a Google results page for the target query. That page returned nine organic results in Australia on 25 September 2026, with an AI overview present and a People Also Ask panel of four questions. The thread at the top of the organic block is a Reddit discussion of AI outbound tools, and it could not be read because the fetch returned a 403.

Cirrus Insight publishes “The 15 best AI Outbound Sales Tools in 2026”, dated 24 July 2026, which sorts fifteen tools into five buckets and states: “This roundup is published by Cirrus Insight, which is one of the 15 tools listed.” The author adds that not every tool was tested end to end. Overloop publishes “AI Sales Tools in 2026: Category-by-Category Guide”, updated 18 August 2026, with six categories and a full comparison table. It discloses that “Overloop publishes this comparison and is one of the products covered”, and it is explicit that the work is “a documentation review, not a claim that every product received the same hands-on test”. Freemius publishes “17 outbound sales tools to optimize and grow your software business”, dated 8 September 2026, which groups seventeen tools across five categories and states that “Most solo founders only need 3-4 of these 17 tools”. Its starter advice names LinkedIn Sales Navigator, Instantly or Salesforge, and Calendly as a full motion for under $150 a month. The fourth capture is a video published by Instantly on its own channel, “I Tried 100 Lead Generation Tools. These Are The Best”, dated 3 May 2026, which carries a standing caveat that the examples shown “represent atypical outcomes”.

Those four pages rank products for purchase, from the position of a seller in most cases. Two of the four are published by a company that appears in its own list, and the video is published by a vendor with a stake in the outcome. The counts here measure a different thing: which names AI answers produce when a founder asks. They cannot be bought, added to or reordered, and they carry no affiliate relationship. What the two kinds of page share is a shortlist, and the useful work is comparing them, because a founder’s AI assistant is now often the first reviewer they consult.

What these counts cannot tell you

This page measures naming, not merit. A high share means the models named a product often. It says nothing about uptime, support, pricing fairness, or whether the product fits a particular stack. Being named differs from being recommended, and in this edition several mentions are warnings, which the counts record the same way they record praise.

The sample has hard edges. One answer is recorded for each prompt-and-model pair, so a single answer carries the full weight of that cell. The run is one dated snapshot from 2 September 2026, and this market reprices and repositions quickly enough that the tail will move first. Names are matched as strings, so a product named under a variant of its name is matched to the tracked vendor, and a product nobody tracked is invisible to the counts. These are API answers, and a consumer chat product may answer differently on the same day. Every prompt was written in English, so answers in other languages sit outside this measurement. No position on this page is sold, sponsored or influenced, and no vendor can pay to appear, be reordered or be removed.

Frequently asked questions

What are the best AI tools for outbound sales?

The 50 recorded answers named twenty products, and the table above ranks all of them. The right shortlist depends on the job, not the total. Apollo is the default for a founder who wants data and sending in one subscription, Clay is the pick when list quality is the constraint, Instantly and Smartlead are the sending options, Artisan and AiSDR are the autonomy options, and ZoomInfo is the enterprise data option. The ten products from Salesloft down the named column were each named in 10 or fewer of the 50 answers.

Which AI is best for prospecting?

If the question means which product the models name most for prospecting, the answer is Apollo, named in all 50 answers and named first in 32. If the question means which product to use for the prospecting step on its own, the answers point at the data layer instead. Clay is named for enrichment and research in 44 answers, and ZoomInfo and Cognism are the enterprise data options at 16 and 7. Founder-led prospecting in the recorded answers usually pairs the data layer with a sender, because the products that hold the data rarely run the campaign.

Can AI make outbound sales calls?

The captured record describes calling inside several products, and the counts do not measure how well it works. Apollo carries a built-in dialer that logs calls, and Lindy is recorded as a no-code agent that calls and emails. A recorded answer describes Unify as finding buyers, researching them, writing messages and sending outreach from one place. Calling as its own purchase is small in this category, because the products with dialers are named for the whole motion, and one captured guide is blunter about the channel: most of the tools it lists integrate with calling software but do not replace it. Salesloft charges for its dialer separately, at roughly $200 to $480 per user per year.

How can AI be used in sales prospecting?

The category covers four jobs: finding prospect data, enriching and researching it, sending and following up across channels, and running the whole loop as an agent. The captured guides group the market in similar ways, with one sorting seventeen tools into prospecting, outreach list building, automation, scheduling and remote team tools, and another into autonomous agents, sales engagement platforms, cold email tools, data tools and assistants. Which layer to buy first is the decision, because the products are complements more often than substitutes.

Do you need more than one tool?

Usually yes, per the Freemius guide to outbound sales tools: most solo founders only need three or four of the seventeen tools it covers, and it tells them to read only the entries for their category.

How much do these tools cost?

Published prices cover the sending and data rows. Instantly is recorded from about $37 per month and Smartlead from about $39, with Reply.io from about $60 per user, Clay from about $134, and Apollo from $49 to $59 per user per month. Quote-only pricing covers the enterprise and autonomy rows, with ZoomInfo and Cognism on request, Salesloft estimated near $100 to $165 per user per month, and Artisan quoted around $1,500 per month. Three of the twelve ranked entries carry no published price in this edition at all.

Why does one product get named first so often?

Named share and named-first share measure different things. One product is named first in almost two thirds of the answers, and the next three rows are named first between 1 and 7 times each. The recorded answers use a stack grammar, naming one default and then the components that attach to it, so the first name is the default and the later names are parts. That is how a named share of 82% can coexist with a first share of 2%.

Should you buy the product with the highest count?

No. The counts measure how often a product is named in AI answers, not how well it performs, and in this edition some of the loudest mentions are cautions. Use the counts to build a shortlist, then check the per-model split for the assistant you actually use, because several products here are named by one model family and passed over by another. After that the decision needs what this measurement cannot supply: a trial on your own list, the vendor’s current terms, and the price you are quoted.