SiteSpeakAI Review 2026: Pricing, Message Credits, Pros & Cons
SiteSpeakAI trains an AI agent on your own site and answers visitors from it. Five tiers, from a genuinely free 30-credit plan to $499 a month. The number that decides your bill is not on any of the tier cards: a message credit costs between $0.0249 and $0.029 depending on the plan, and top-ups are $25 per 1,000. This review does that division for you.
Quick Verdict
Best for: SaaS and ecommerce teams that want a documentation-trained support agent with a published per-message price rather than an opaque βAI creditsβ allowance. The tier to look at is Pro at $79 β five agents, 2,500 training sources, all models, bring-your-own-keys and MCP server access. The rating is held off five by the credit unit: you are billed per message, and a conversation is many messages.
What SiteSpeakAI Actually Is
A chatbot you train on your own material β site pages, documentation, uploaded files β and then embed as a live chat widget or an AI search bar. On top of the answering layer it carries an inbox with conversation history and human handoff, lead capture, analytics, page context awareness and support for 95+ languages. The higher tiers add actions, so the agent can do things rather than only describe them, and connect to live data through an API.
The part worth flagging for anyone thinking about AI search rather than site search: from $79 Pro the product exposes an MCP server alongside its API, with query allowances that rise across the higher plans. That makes your trained corpus callable by other agents, not just by visitors sitting on your page β which is a different distribution surface from the widget and the reason this listing sits in our catalogue at all.
Integrations cover Slack, Telegram, Discord and Zapier lower down, with WhatsApp, Google Chat and HubSpot arriving at Pro. There is also a white-label agency programme with custom domains and branded dashboards for people reselling this to clients.
Built an AI chatbot or support agent? People land on this review while they are still choosing one.
Add it to the chatbots category β a free listing publishes after review, and it is the same page ChatGPT, Perplexity and Google read when someone asks which AI support agent to use. Want it live in minutes with a Verified badge instead? That option is on the form, one-time, no subscription.
SiteSpeakAI Pros & Cons
β Pros
- β’The free tier is a real evaluation tier, not a demo. 30 message credits a month, one agent and ten training sources is enough to point the thing at your docs and watch it answer questions about your own product before a card is involved
- β’Overage is published at $25 per 1,000 message credits. In a category where running out of an allowance usually means a sales call, a stated per-thousand rate you can multiply by your traffic is the single most useful number a vendor can print
- β’API and MCP server access arrive at $79 Pro, not at the enterprise tier. If you want the agent reachable by other agents β which is the whole point of an MCP endpoint β you are not forced into a $499 plan to get it
- β’Bring-your-own-keys sits on the same $79 tier, alongside the full model roster. Paying model costs directly rather than through a marked-up credit is what makes high-volume deployments affordable, and it is not gated to the top of the ladder
- β’95+ languages and a human handoff path (inbox and live chat) mean the bot has somewhere to fail to. An AI support agent with no escalation route is a liability on the ticket it cannot answer
- β’Annual billing saves a flat ~17% at every tier β $29 to $24, $79 to $66, $249 to $208, $499 to $416 β rather than the usual pattern where the discount is largest on the plan you are least likely to want
- β’Every paid plan carries a 7-day free trial, and the free plan needs no card at all, so the evaluation sequence is free tier first, trial second, purchase third
β Cons
- β’Message credits, not conversations, are the billing unit β and one support conversation is many messages. The $29 Starter tier's 1,000 credits sounds generous until you divide by a realistic 6-10 message exchange, which lands nearer 100-160 real conversations a month
- β’The per-credit price stops improving after $79 Pro. Starter is $0.029 per credit, Pro is $0.0263, Growth is $0.0249 and Business is $0.025 β Business is fractionally worse than Growth. Above Pro you are buying agents, sources and features, not cheaper messages, and the pricing page does not say so
- β’Because overage is $25 per 1,000 ($0.025 per credit), buying extra credits on a cheaper plan is cheaper per message than every plan except Growth. If your only constraint is volume, topping up beats upgrading β which is the opposite of the ladder the page is shaped to push you up
- β’Training sources are a second, independent ceiling: 10 on free, 200 on Starter, 2,500 on Pro. A documentation site with a few thousand pages does not fit on the $29 plan regardless of how few messages it serves
- β’Agent count is tightly rationed at the bottom β one agent on both Free and Starter. Anyone running two products, two brands or a staging agent alongside a live one starts at $79, so the real entry price for a small agency is Pro
- β’Actions per agent β the part that turns a chatbot into something that can do rather than answer β are 0 on Free and 1 on Starter. The automation story effectively begins at Pro
- β’The credit model makes your bill a function of traffic you do not control. A bot embedded on a page that gets scraped, spidered or linked from somewhere busy burns the same credits as real customers; budget with a ceiling in mind and check what the vendor counts before you commit
SiteSpeakAI Pricing 2026
Read off sitespeak.ai/pricing on 21 September 2026. Five tiers, each roughly 17% cheaper billed annually, all paid plans carrying a 7-day free trial. Extra message credits are $25 per 1,000 on any plan.
Free
- β’30 message credits / month
- β’1 AI agent
- β’10 training sources
- β’Basic AI models
- β’Live chat widget
Pointing it at your docs to see if the answers are any good
Starter
- β’1,000 message credits / month
- β’1 AI agent
- β’200 training sources
- β’Lead capture
- β’Removes "Powered By"
One small site, modest volume, no automation
Pro
- β’3,000 message credits / month
- β’5 AI agents
- β’2,500 training sources
- β’All AI models + bring your own keys
- β’API and MCP server access
- β’WhatsApp, Google Chat, HubSpot
The tier that actually unlocks the product
Growth
- β’10,000 message credits / month
- β’15 AI agents
- β’8,000 training sources
- β’15 actions per agent
- β’Custom domain
- β’Daily source auto-sync
Multi-brand or agency deployments
Business
- β’20,000 message credits / month
- β’Unlimited AI agents
- β’20,000 training sources
- β’Dedicated onboarding
- β’Priority support
Volume plus onboarding, not a better credit rate
What A Message Credit Actually Costs
Divide each tier's monthly price by its included credits and the ladder stops behaving like a ladder. Here is the whole price list reduced to one number per row:
| Tier | Credits / mo | Cost per credit | What that means |
|---|---|---|---|
| Starter β $29 | 1,000 | $0.0290 | The most expensive credit on the list |
| Pro β $79 | 3,000 | $0.0263 | Where features and price meet |
| Growth β $249 | 10,000 | $0.0249 | The cheapest credit on the list |
| Business β $499 | 20,000 | $0.0250 | Fractionally worse than Growth |
| Overage top-up | 1,000 | $0.0250 | Cheaper than Starter, Pro and Business |
Our calculation from the vendor's published monthly prices and allowances, read on 21 September 2026. Annual billing lowers every figure by roughly 17% but does not change the ranking.
Two things fall out of that table. First, the per-message price stops improving after Pro β Business at $499 is fractionally worse per credit than Growth at $249, so the top of the ladder sells unlimited agents and onboarding, not cheaper messages. Second, the $25-per-1,000 top-up undercuts three of the four paid tiers. If volume is the only ceiling you have hit, buying credits beats upgrading. Upgrade for the ceilings you cannot top up: agents, training sources, actions per agent, custom domain.
Then convert your own numbers before you pick. Credits are messages, not conversations. Take last month's support conversation count, multiply by the average number of back-and-forth messages each one takes, and compare that to the allowance. A team fielding 200 conversations a month at eight messages each needs 1,600 credits β past Starter, comfortably inside Pro.
Is SiteSpeakAI your tool?
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Frequently Asked Questions
How much does SiteSpeakAI cost in 2026?
Read off sitespeak.ai/pricing on 21 September 2026: a free plan at $0 with 30 message credits a month, then Starter at $29, Pro at $79, Growth at $249 and Business at $499 per month. Annual billing takes roughly 17% off each β $24, $66, $208 and $416 respectively. Every paid plan carries a 7-day free trial, and additional message credits are $25 per 1,000.
What is a message credit, and how many do I actually need?
A credit is a message, not a conversation, and that distinction is the whole budgeting exercise. A support exchange that resolves in six to ten messages consumes six to ten credits, so the Starter plan's 1,000 credits is closer to 100-160 real conversations a month than to 1,000. Before choosing a tier, take your current monthly support conversation count, multiply by your average message depth, and compare that number β not your visitor count β to the allowances.
Which SiteSpeakAI plan is the best value?
Pro at $79 is the value tier, and the reason is not the credit allowance. Divide price by credits and the rate barely moves above it: $0.029 on Starter, $0.0263 on Pro, $0.0249 on Growth, $0.025 on Business. What Pro adds is structural β five agents instead of one, 2,500 training sources instead of 200, the full model roster, bring-your-own-keys, and API plus MCP server access. Growth and Business sell more of the same thing; Pro is where the product changes shape.
Is it cheaper to upgrade a plan or buy extra credits?
On volume alone, buy the credits. Overage is $25 per 1,000, or $0.025 a credit, which undercuts Starter ($0.029), Pro ($0.0263) and Business ($0.025 at best parity), and is beaten only by Growth's $0.0249. So if the only thing you have outgrown is the allowance, topping up is the cheaper move. Upgrade when you need the other ceilings β more agents, more training sources, more actions per agent, a custom domain β because those cannot be topped up.
Does SiteSpeakAI have an MCP server?
Yes, and it arrives at the $79 Pro tier rather than at enterprise, with query allowances rising across the higher plans. That matters if you want the trained agent reachable by other AI agents and assistants rather than only by visitors on your site β an MCP endpoint turns your documentation corpus into something another model can call. It sits alongside API access and bring-your-own-keys on the same tier.
Is the free plan usable for a real site?
Not for production, and it is not meant to be. Thirty message credits a month is a handful of conversations, one agent, ten training sources, basic models only and the vendor's branding on the widget. What it is genuinely good for is the question you should answer before paying anyone: point it at your own documentation and ask it the ten questions your customers actually ask. If the answers are wrong on your content, no plan fixes that.
Who should not use SiteSpeakAI?
Anyone whose support volume is high and whose answers are simple β at scale, per-message billing is the wrong meter, and a flat-rate or self-hosted competitor will win on cost. Anyone with a very large documentation corpus and low traffic, since training sources are capped independently of messages and a few thousand pages pushes you to Pro on source count alone. And anyone who needs the bot to take actions on the cheapest plan: with 0 actions on Free and 1 on Starter, the automation story starts at $79.
Want To Try SiteSpeakAI?
The free plan needs no card. Point it at your own documentation and ask it the ten questions your customers actually ask before any tier matters.
Or explore alternatives:
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