Finding a company that fits your ideal customer profile is relatively easy. Finding the correct decision-maker, obtaining reliable contact information, researching the business enough to personalise an email, sending it without compromising deliverability, and then turning the reply into a booked meeting is considerably harder.
Explee wants AI to handle virtually that entire sequence.
The London-based platform has evolved beyond being simply another searchable B2B database. Its current flagship product, AutoGTM, uses AI agents to research a company’s market, identify prospects, write personalised emails, run outbound campaigns and work towards booking demonstrations. Alongside that automation, Explee offers semantic search across a database it says contains 105 million companies and 536 million people profiles.
The proposition is certainly attractive for founders and small sales teams. Explee currently advertises the possibility of starting with $30 in credits, without hiring SDRs or building separate cold-email infrastructure. But automated outreach is one of those areas where efficiency and recklessness can sit surprisingly close together.
For that reason, this review isn’t just about how many contacts Explee has. The more important question is whether handing prospect selection and outbound communication to an AI agent produces better prospecting or simply faster spam.
What is Explee?
Explee is a B2B prospecting and automated go-to-market platform. Its offerings can be broadly divided into three areas: AutoGTM, AI Search, and its underlying B2B datasets.
AI Search lets you describe the companies or people you want in natural language rather than relying entirely on rigid database filters. AutoGTM goes further by turning prospect discovery into an outbound workflow: it identifies prospects, prepares emails, sends campaigns using its infrastructure and attempts to generate replies and meetings.
This distinction matters because there are plenty of tools that can generate an email address. Explee is trying to reduce the number of separate products required between deciding who we should contact and actually getting that person into a conversation.
For agencies, SaaS businesses, and companies conducting regular B2B SEO and lead-generation activities, that consolidation could be useful. However, businesses should think carefully before automating communication that directly represents their brand.
Natural-language prospecting is Explee’s strongest feature
Traditional B2B databases typically begin with filters. You choose a country, company size, industry, revenue range, job title and perhaps a handful of technologies, then work through the resulting list.
Explee takes a more conversational approach.
You can describe the type of company you’re trying to reach and apply AI-powered criteria to evaluate results. Its API documentation shows that companies and individuals can be scored against custom criteria on a 0โ5 scale, with reasoning supplied for the assessment. That potentially allows far more nuanced searches than โMarketing Director + United Kingdom + 11โ50 employeesโ.
Imagine GuestPost.UK wanted to identify UK SEO agencies that actively sell link building but appear not to have a large internal outreach team. A conventional database can handle location, industry and headcount easily enough; determining the second half of that requirement requires considerably more interpretation.
This is where AI enrichment can become genuinely useful.
It doesn’t mean every result will be correct. It means you can start prospecting from a commercial description of the customer you want, rather than trying to convert that description into 15 database filters.
The database is enormous โ at least according to Explee
Explee currently states that its search covers 105 million companies and 536 million people profiles. Its dedicated database products include more than 22 million US companies and 31 million EU companies, while its global Maps dataset covers more than 210 million locations.
Raw database size, however, isn’t the metric I’d use to choose a prospecting platform. A database containing half a billion profiles is worthless if the 500 contacts you need have obsolete job titles or invalid email addresses.
Accuracy and relevance matter much more.
This point actually appears in Explee’s independent reviews. G2 reviewers have praised its ability to return highly relevant ICP matches and verified contact data, with one user specifically comparing the experience favourably with Apollo and ZoomInfo. Another liked the detail available but reported that the final number of usable leads could be lower than initially indicated.
So the database size is impressive marketing, but I’d test your niche and your geography before making a purchasing decision.
AutoGTM is where Explee becomes much more ambitious
The Facebook advert you found positions Explee against Google Ads, but that comparison isn’t particularly useful. Google Ads captures or creates demand through paid media; Explee’s AutoGTM is fundamentally an outbound prospecting system.
The more relevant comparison is with the combination of a prospecting database, an email verifier, a cold-email platform, and an SDR.
Explee says its AI agents can research your market, refine the ideal customer profile, identify high-intent prospects, prepare personalised messages and conduct outreach. Its current marketing reports a median cost of $9 per warm lead across platform activity, although this is Explee’s own performance data, not an independently audited benchmark.
The platform also uses pre-warmed domains for outreach. This is interesting because cold-email systems normally require users to acquire sending domains, configure DNS records, create mailboxes and establish sending history before scaling campaigns. Explee is deliberately trying to remove that technical setup.
For a small business without an outbound team, that can substantially lower the barrier to testing cold outreach.
It can also lower the barrier to sending terrible outreach.
That is why the quality-control side of AutoGTM deserves as much attention as its automation.
AI-personalised doesn’t automatically mean personally relevant
One of the most common problems with modern cold email is that AI can produce a message that looks personalised without actually being thoughtful.
A model can mention somebody’s company, extract information from their website and generate a plausible opening sentence in seconds. If the underlying targeting is wrong, however, you’ve merely produced sophisticated spam.
This is particularly important in our industry. Effective blogger outreach depends on selecting a relevant publisher, understanding why the proposed content fits its audience, and making an offer with genuine value. Sending 5,000 superficially personalised emails doesn’t automatically create a good outreach campaign.
The same principle applies to B2B sales.
Explee’s automation is most compelling when the AI reduces research and administrative effort around a well-defined ICP and a well-designed offer. It becomes considerably less appealing if businesses use it as permission to contact anybody the algorithm can find.
And recent public feedback suggests this isn’t merely a theoretical concern.
Explee reviews tell two very different stories
This is probably the most important section of our Explee review.
On G2, the picture is excellent. Explee currently has 5/5 from five reviews, with all five giving the product five stars. Users praise its natural-language search, ease of use, verified information, relevance to prospects, and time savings. One reviewer said the tool removed much of the filtering friction experienced with conventional databases, while another highlighted the combination of prompt-based company/contact search and built-in email verification.
If we stopped researching there, Explee would look exceptional.
Trustpilot tells a markedly different story. At the time of this review, Explee has a 2.7/5 TrustScore based on four reviews, including recent complaints about billing/customer service and, importantly, the quality of automated outreach. One August 2026 reviewer alleged that the system generated inappropriate conversations, treated questionable replies as hot leads and sent messages that didn’t accurately reflect the company’s services. Another complained about an unintended credit charge and difficulties obtaining support.
There is an obvious caveat: both samples are tiny. Five G2 reviews and four Trustpilot reviews are nowhere near enough to establish reliable customer sentiment for a software platform.
Nevertheless, the contradiction is valuable.
G2’s feedback is primarily positive about prospect discovery and data. The harshest Trustpilot criticism focuses heavily on what happens when automation starts communicating with those prospects.
That reinforces our view that Explee’s database and semantic prospecting may currently be easier to trust than fully autonomous outbound activity.
Explee AutoGTM pricing
Explee has made AutoGTM surprisingly simple to test.
Rather than requiring a conventional monthly subscription, AutoGTM currently operates on a pay-as-you-go basis. $30 buys 1,000 emails, equivalent to $0.03 per email. Explee estimates that this volume might produce approximately 2โ8 warm leads and 1โ2 meetings, with an estimated cost per lead of $1โ$15. Again, these are the vendor’s projections and should not be interpreted as guaranteed results.
New users are currently offered $30 in promotional credit. The sign-up process requests a payment method, and Explee’s terms state that pay-as-you-go Agent usage may incur charges to the saved payment method once promotional credit is exhausted.
That detail is worth understanding before launching a campaign.
Explee AI Search pricing
The separate AI Search product uses monthly plans and credits.
| Plan | Monthly price | Credits | Companies/month | People/month | Email capacity |
|---|---|---|---|---|---|
| Free | $0 | โ | Limited | Limited | Limited |
| Starter | $49 | 5,000 | 10,000 | 5,000 | Up to 3,333 |
| Growth | $329 | 40,000 | 80,000 | 40,000 | Up to 26,666 |
| Pro | $490 | 75,000 | 150,000 | 75,000 | Up to 50,000 |
| Enterprise | Custom | Custom | Unlimited | Unlimited | Unlimited |
Credits on the paid monthly plans are currently valid for two months, while Starter, Growth and Pro all allow additional credits to be purchased at a published rate of 100 credits for $1. Export and AI-enrichment limits rise significantly with the higher tiers.
The jump from $49 Starter to $329 Growth is substantial. Small teams should therefore determine whether they genuinely need tens of thousands of prospects before moving upwards.
For many agencies, the Starter plan may be enough to establish whether Explee’s semantic search genuinely improves list quality.
Is the โfreeโ Explee offer really free?
The Facebook advert says โFree to startโ, which is technically consistent with the current offer but needs context.
AI Search has a $0 Free plan. AutoGTM currently offers $30 in promotional credit, equivalent to 1,000 emails at the published $0.03-per-email rate. However, AutoGTM requires a payment method, and Explee’s terms state that subsequent agent usage can be charged to that saved payment method.
So I would describe it as a free trial/credit allocation, not permanently free automated lead generation.
That’s perfectly reasonable as a SaaS business model. Users simply need to understand the transition from promotional credits to billable activity.
Explee vs Apollo: where is the difference?
Apollo is an obvious comparison because both platforms help companies discover B2B prospects and obtain contact information.
Explee’s biggest distinction is its AI-first search experience. Instead of constructing a complex filter set, you can describe the companies you want and let the platform interpret the criteria. AutoGTM then extends beyond prospecting into campaign execution.
| Area | Explee | Apollo |
|---|---|---|
| B2B contact database | Yes | Yes |
| Natural-language prospect search | Core strength | AI features available |
| AI enrichment criteria | Strong focus | Available through broader workflow |
| Email outreach | Yes | Yes |
| Autonomous prospecting agent | AutoGTM focus | More sales-platform oriented |
| Free entry option | Yes | Yes |
| Best fit | AI-first prospecting & automated GTM | Established sales intelligence workflow |
Apollo is considerably more established and has a much larger independent user-review base. Explee, on the other hand, is interesting precisely because it is trying to rethink the prospecting workflow around AI rather than merely adding AI features to a conventional database interface.
I wouldn’t choose between them from a feature checklist. I’d give both the same ICP description and compare the actual quality of the first 100 prospects.
Where Explee could fit into SEO and guest-post outreach
This is where the product becomes particularly relevant to GuestPost.UK readers.
Prospecting is one of the slowest parts of link building. Finding websites is easy; qualifying businesses, locating decision-makers, verifying addresses and organising the information takes much longer.
Explee could be useful for commercial outreach around SEO, such as identifying SaaS companies that may need link building, finding marketing decision-makers at relevant agencies or building partnership lists. It may also assist with identifying organisations for digital PR and co-marketing campaigns.
I would be much more cautious about allowing an autonomous sales agent to conduct publisher outreach for guest posts without close supervision. Guest posting relies heavily on relationships and editorial context. Our own blogger outreach service deliberately emphasises manual outreach because blasting publishers with generic automated pitches can damage sender reputation and reduce response quality.
For agencies trying to scale without creating a large internal fulfilment department, Explee may instead work best at the research and prospect qualification stage, complementing services such as white-label link building rather than replacing human publisher relationships.
What we like about Explee
The most impressive aspect is its natural-language search. Being able to explain the commercial characteristics of an ideal prospect is potentially much more powerful than endlessly combining dropdown filters. The large company and people datasets, AI enrichment, built-in contact discovery and API also give technically sophisticated teams plenty to work with.
AutoGTM is interesting for a different reason: it dramatically reduces the infrastructure required to test outbound sales. A founder who previously needed a database, an email verification service, a sending platform, domains, and campaign setup can theoretically begin much faster.
The pricing is also relatively accessible at the testing stage. A $49 Search plan and $30-per-1,000-email AutoGTM model are inexpensive enough to evaluate without a major annual commitment.
Where Explee needs caution
Our biggest concern isn’t the size of the database or even the pricing. It is brand control.
If an AI agent sends a poor email, invents an inappropriate offer or contacts an irrelevant person, the prospect doesn’t blame the AI model. They see your company name.
The recent Trustpilot criticism about inaccurate or strange outreach therefore deserves attention, even though the review sample is far too small to establish a pattern.
Billing also deserves monitoring. Explee’s official terms say subscriptions can be cancelled through the app or support and describe a 30-day prorated refund policy for subscriptions, while AutoGTM pay-as-you-go charges operate differently because they relate to already-delivered usage. Those rules are worth reading before scaling a campaign, particularly given the recent public billing complaints.
Who is Explee best for?
Explee looks strongest for B2B founders, SaaS companies, sales teams, and agencies that already know their ideal customer but spend too much time finding matching organisations and contacts.
Its semantic search may also appeal to marketers who find conventional databases restrictive. If your target market requires more nuanced qualification than industry + employee count + job title, AI criteria can potentially surface prospects that basic filters miss.
Companies without a clear ICP should solve that problem first. Giving an AI agent a vague offer and asking it to find customers faster is unlikely to improve the fundamentals.
Likewise, organisations with a carefully protected brand reputation should begin with small, supervised campaigns rather than switching on autonomous outreach at scale.
Is Explee AI worth trying in 2026?
Yes โ but I would test Explee’s intelligence before trusting its autonomy.
Start with AI Search. Give it a genuinely difficult ICP, then manually examine 100 results. Check whether the companies fit, whether the decision-makers are current and whether the contact information is usable. Compare that sample against whatever prospecting tool you already use.
If the quality is strong, test AutoGTM with a tightly controlled audience and a modest number of emails. Review the messages it intends to send, inspect replies yourself and pay particular attention to how it classifies โwarmโ or โhotโ leads.
That approach takes advantage of what appears genuinely promising about Explee without handing your company’s reputation to an algorithm on day one.
GuestPost.UK rating: 3.8/5
Explee has an interesting product, a huge stated dataset and one of the more useful implementations of natural-language B2B prospecting we’ve seen. The positive G2 feedback strengthens the case for its search and data capabilities.
However, its very small independent review footprint, recent negative Trustpilot feedback and the inherent risks of autonomous cold outreach stop us from rating it higher for now.
For prospect research, Explee is well worth experimenting with. For fully autonomous outreach, we’d keep a human firmly in the loop.
