Expertise AI Review (2026): Pricing, Features & Honest Verdict

Expertise AI is a marketplace where GTM operators publish their playbooks as installable AI skills that businesses run on their own stack. The free tier is real and the skills catalogue is unusually good. Nobody who builds it is named anywhere. Best for RevOps and sales operators. Price: from $40/mo, free plan: yes. Rating: 6.5/10.

What is Expertise AI?

Expertise AI is two things stacked on each other. The first is an assistant for go-to-market work: it connects to your CRM, inbox, calendar, call recorder, dialer and LinkedIn, and runs tasks against them, updating records after calls, drafting follow-ups, prepping for meetings, researching accounts. The second is a catalogue of skills, each one a packaged workflow written by a named revenue operator, that you install in a click and run on your own connected stack. Install a skill and everyone on your team runs the same play the same way.

The company behind it is Chatsimple Inc., which appears in the footer copyright and in the affiliate program URL and nowhere else. Its existing product, an AI website chatbot, still lives on the same domain under the Expertise Live name, complete with a full set of comparison pages targeting RB2B, Warmly, Leadfeeder, Drift and Qualified. So Expertise AI is not a new company. It is an established chatbot business expanding into GTM skills. The 26 August 2026 Product Hunt launch took second place with 174 upvotes under the tagline “Turn your GTM skills into recurring revenue.”

The skills catalogue is the part that surprised us. These are not the thin prompt templates that usually fill a marketplace like this. One skill diagnoses an outbound campaign from raw funnel numbers, identifies the single binding constraint, and produces a weekly status report. Another walks nine cold-email deliverability practices in order, from SPF and DKIM configuration through the 70/30 warm-up pool rotation to routing around Mimecast and Proofpoint gateways. They read like they were written by people who have actually run the play, because they were.

What are Expertise AI’s key features?

Skills written by named operators, with explicit trigger conditions

Each skill in the catalogue carries an author, a description of what it does, and, unusually, a statement of when not to use it. The Stalled Deal Rescue skill says outright that a single quiet-thread bump belongs in No-Reply Rescue instead and stage-label validation belongs in Deal Stage Reality Check. That kind of boundary-setting is what separates a real operating procedure from a prompt someone pasted in. Authors include Jeff Ignacio of RevOps Impact, Mark Colgan, Nev Santana, Matthew James Lefrandt and Prashant Mantri, all people with public track records in the space.

Skills that adapt to your role, ICP and tools

The pitch is that a skill personalises itself to whoever runs it rather than needing to be rebuilt per person. Install once, share the link, and the whole team runs the same workflow against their own accounts and pipeline. The site claims over 30 integrations and reads from and writes to the tools you already use rather than asking you to work inside a new interface. For a sales team, that distinction is the whole ballgame. Software that requires a rep to open a second tab does not get used.

Human-approval controls on every tier

Approval gating is included on the free plan, not held back for Enterprise, which is the right call and rarer than it should be. The product’s own demo shows a drafted follow-up sitting behind Request changes and Approve and send buttons rather than going out automatically. Given that these skills are writing to your CRM and sending email to live prospects, having a human checkpoint available from day one is not a nice-to-have. Several competitors treat this as a governance upsell.

Compliance credentials that check out

SOC 2 Type II, SOC 3, GDPR and CCPA compliance, with SAML 2.0 and SCIM for enterprise SSO, plus a live trust centre and a public status page at their own subdomains. Voice AI is included on the Business plan of the agent product with 300 minutes a month and $0.25 per additional minute after that. For a product asking to write into your Salesforce instance and read your inbox, this is the table stakes the launch pitch tends to skip over, and Expertise has done the work.

How much does Expertise AI cost?

The assistant is free forever on one seat with 200 credits a day, chat-based workflow building, the one-tap task library, human-approval controls and core integrations. Pro is $50/mo per user billed monthly or $40/mo billed annually, and adds 5,000 credits a month on top of the daily 200, all 30-plus integrations, advanced multi-thread and battle-card tasks, opt-in pay-as-you-go overage, and email plus Slack support. Team and Scale is custom, with a shared credit wallet, consolidated billing, admin and seat controls, volume credit pricing and priority onboarding. Every new account gets 1,000 bonus credits, and referring someone gets you both another 1,000.

One piece of the credit maths reconciles cleanly and deserves credit for it. The Pro card advertises 5,000 credits a month plus 200 a day, and the billing FAQ separately refers to “your 11,000 monthly credits.” Five thousand plus 200 a day over a 30-day month is exactly 11,000. Two different pages, same number, no fudging. A credit is also defined in plain language as one piece of work, a CRM update or a drafted follow-up or a research brief, with heavier tasks costing more. That is a better answer than most credit-based vendors give.

Two things do not reconcile. The annual toggle carries a “SAVE 17%” badge, but the comparison table lower on the same page prices Pro at $50 monthly and $40 annually, which is a 20% saving, not 17%. Small, but it is the vendor’s own two numbers disagreeing on one page. The bigger one: the signup offer is presented as “We’re putting $100 in your account,” while the FAQ says new users get 1,000 bonus credits. If those are the same grant, a credit is worth ten cents, which would make Pro’s 11,000 monthly credits worth $1,100 against a $40 seat price. The pay-as-you-go overage rate is never published, so there is no way to resolve which figure is the real one.

There is a third issue that is more presentational but still confusing. The pricing page carries three unrelated price ladders with no clear separation: the AI Agent chatbot at Free Preview, $2,000/mo Business and custom Enterprise; a booking system at Free and $30/mo, or $24 annually; and the assistant this launch is about. The page title even advertises “Free & $50/User.” Land on it from Product Hunt and you will scroll past a $2,000 plan for a product you were not looking at before reaching the one you were.

What do the skills themselves cost?

Nothing published, and this is the gap at the centre of the launch. The Product Hunt tagline is “Turn your GTM skills into recurring revenue” and the homepage promises that experts publish playbooks as “protected, monetizable AI skills.” The homepage demo shows a fictional expert profile with an install priced at $200/mo. But on the actual skills catalogue, every listing carries a Demo button and an Install button and no price at all. The words “recurring revenue” do not attach to a single published number anywhere on the site.

So the two questions a buyer and an expert each need answered are both open. If you are a team installing skills, you do not know whether the good ones are included in your $40 seat or cost extra on top of it. If you are an operator considering publishing your playbook, you do not know what you can charge, what cut Expertise takes, or how payouts work. Neither the pricing page, the skills page nor the expert network page addresses it. The $200/mo in the hero mockup is the only figure we found, and it belongs to a persona named Maya Chen who does not exist.

This is fixable and probably temporary. Marketplaces routinely launch supply-side first and turn on monetisation later. But the launch is named after the monetisation, so it is fair to point out that the monetisation is the one part with no numbers attached.

Who actually builds Expertise AI?

We could not find out, and we looked hard. The site’s own navigation lists “About Us” with the subtitle “Meet the team powering Expertise AI.” There is no link behind it. We read every href on the homepage, the pricing page and the skills page and there is no about page, no team page and no founders page in the site’s own markup. Constructing the obvious URL returns a 404. The only corporate identity anywhere is a footer copyright reading Chatsimple Inc.

The site names plenty of people. They are all experts publishing skills, or customers in the wall of love, or personas in product mockups. Not one is presented as an employee, a founder or an executive. A demo booking link points at a HubSpot calendar belonging to someone called Nick Raja, which is the closest thing to a named human on staff that we found, and it takes reading a URL to get there.

For most software this would be a minor knock. Here it cuts against the product’s own thesis. Expertise AI is asking respected operators to attach their names and reputations to skills hosted on its platform, and asking revenue teams to give it write access to their CRM and inbox. It is asking for a great deal of trust while publishing less about itself than any of the experts it lists. The SOC 2 Type II report and the trust centre carry real weight and we have credited them. A page naming the founders would cost an afternoon.

Who is Expertise AI best for?

Use Expertise AI if you are a RevOps lead or a GTM operator at a B2B company and your day is CRM hygiene, follow-up drafting, account research and campaign diagnosis. The free tier is real, permanent, needs no card, and 200 credits a day is enough to find out whether the workflow suits you. The skills catalogue alone is worth browsing even if you never install one, because several of the playbooks are better documented than anything most teams have written internally.

It also suits a sales team that has been trying and failing to standardise how reps work. Shipping one skill that everybody runs identically is a more realistic path to consistency than another enablement deck.

Skip Expertise AI if you need to model your costs precisely before committing, because with no published overage rate and no skill prices there is no way to forecast a bill past the included credits. Skip it if your procurement process requires knowing who your vendor’s leadership is, since that information is not published. Skip it if you are an expert hoping to monetise a playbook this quarter, because the earning side has no published terms yet. And skip it if what you actually want is data enrichment or list building, which is Clay’s job, not this.

Best Expertise AI alternatives

Clay. The default for GTM data work and a different shape of product. Free plan gives 100 data credits a month, paid plans start around $54/mo on annual billing for 180,000 credits a year and scale up through roughly $135, $180 and $261 a month for larger credit blocks, with an Explorer tier near $167/mo. Clay is far stronger at enrichment, list building and waterfall data. It is not a library of operator playbooks and it will not update your CRM after a call.

Copy.ai. Positions itself as a GTM AI platform with workflows rather than skills. Chat is $29/mo billed monthly or $24/mo billed at $288 a year and includes five seats with access to OpenAI, Anthropic and Gemini models. Growth jumps to $1,000/mo billed at $12,000 a year for 75 seats and 20,000 workflow credits, with Expansion and Scale above it. Cheaper than Expertise at the entry point, far more expensive the moment you want real workflow volume, and its content is generic rather than authored by named practitioners.

Warmly. The enterprise comparison, and one Expertise targets directly with its own alternative page. Warmly sells annual contracts starting around $10,000 and rising through $20,000 and $30,000 tiers, aimed at signal-based selling and website visitor intelligence. Much heavier, much more expensive, and a genuine platform with support behind it. If you have budget and want a vendor with a named team and a signed contract, this is the grown-up option.

Final verdict: is Expertise AI worth it?

The skills catalogue is the best argument for this product and it is a strong one. Packaging a real operator’s playbook, with trigger conditions and explicit boundaries, into something a whole team runs identically against their own stack is a good idea executed with more care than we expected. The free tier is permanent and usable rather than a disguised trial, human approval controls are included from the bottom tier up, the SOC 2 Type II and SOC 3 credentials are real, and $40 a user is fair for what Pro includes. If you run GTM operations at a B2B company, spend an hour on the free plan.

What holds it at 6.5 is a pattern rather than any single flaw. The saving badge disagrees with the pricing table underneath it. The $100 signup offer cannot be reconciled with the 1,000 bonus credits or the overage rate, because the overage rate is not published. The skills the launch is named after have no prices. And the company will not say who it is, while asking named experts to stake their reputations on its platform and asking teams to hand over CRM write access. None of these are hard problems. Publish a team page, a credit rate card and a skill pricing model, and this jumps into the high sevens. Until then, use the free tier, enjoy the playbooks, and read the pricing page twice.