AI chatbot for FluentCRM: a sales rep that lives in your site
SleekAI loads the matched FluentCRM contact's lists, tags, custom fields, and recent campaign opens into the bot's prompt so each conversation feels like a real follow-up instead of a cold opener that ignores everything the CRM already knows about the visitor.
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A chatbot that knows what your CRM knows
FluentCRM stores contacts in the fc_subscribers table with custom fields in fc_subscriber_meta, and tracks list memberships, tags, and campaign opens and clicks alongside. SleekAI reads that record for the matched visitor and feeds it into the bot's context. The bot greets the contact by name, references their actual list, and quotes a code from a campaign they actually received instead of inventing one that does not exist in your sequences.
Identification happens through logged-in users mapped to FluentCRM contacts and through tracked campaign links that set the contact ID. When neither is true, the bot falls back to a stranger persona without leaking other contacts' data. That separation matters: a known contact gets a tailored opener, while a cold visitor gets pre-sales answers grounded in your published plan and pricing pages, not in someone else's CRM record.
The bot does not write to FluentCRM directly. It describes what should happen, like "I will tag you quote-request," and you wire the actual write through a webhook or a FluentCRM automation triggered by the chat log. That keeps your automations the source of truth and prevents the bot from accidentally double-tagging a contact or hitting a list with stale data when a campaign segment moves underneath.
Workflow
How SleekAI talks to FluentCRM contacts
Wire the contact lookup
Choose what enters the prompt
Tune the campaign script
Hook actions to automations
Try it now
A typical FluentCRM conversation
Comparison
Generic chatbot vs SleekAI for FluentCRM
Generic chatbot
- Treats every visitor as a stranger
- Doesn't know FluentCRM lists or tags
- Can't reference past email opens or clicks
- Won't tailor offers to contact history
- No record of who said what
SleekAI chatbot
- Reads FluentCRM contacts, lists, and tags
- Pulls campaign and activity data into the prompt
- References real codes and offers from your campaigns
- Display conditions for known contacts vs strangers
- Conversation logging for sales QA
Features
What SleekAI gives you for FluentCRM
Contact-aware
Reads fc_subscribers lists, tags, and custom fields so the first reply already knows who the contact is and what they signed up for.
Campaign-savvy
References the campaigns the contact actually received and the codes inside them, so promised offers always match what is in their inbox.
Targeted display
Show different bots to known contacts and unknown visitors via display conditions on user state, list membership, and tag presence.
Use cases
Where teams use this for FluentCRM
Sales follow-up
Re-engages contacts who clicked a campaign with a chat that picks up exactly where the email left off, quoting the same offer and CTA.
Lead qualification
Asks the right next question based on tags and segments instead of a generic discovery script that ignores what the CRM already learned.
Account-based outreach
Greets multi-seat prospects using the language from their last newsletter so the bot continues the thread instead of starting a fresh one.
The bigger picture
Why CRM context separates a useful bot from a clueless one
Most chat widgets greet a returning newsletter subscriber the same way they greet a stranger. That gap shows up immediately. The contact has read three campaigns, clicked the API article, and downloaded the pricing PDF, but the bot opens with "How can I help?" and forces them to re-explain themselves.
They bounce, and the campaign that brought them back was wasted. FluentCRM already knows who they are, what they read, and what offer they were sent. SleekAI's job is to put that knowledge into the bot's first sentence.
The economic argument is on the contact side: the cost of acquiring a returning visitor is sunk in the campaign that delivered them, and a confused first reply burns it. The bot's job is conversion-grade follow-up, not generic support. For SaaS, agencies, and bootstrapped products running their newsletter through FluentCRM, the difference between a bot that quotes the actual Q2 launch code and one that fumbles is the difference between a closed Pro plan and a closed tab.
Questions
Common questions about SleekAI for FluentCRM
Yes. FluentCRM stores contacts in fc_subscribers with custom fields in fc_subscriber_meta, lists in fc_lists, and tags in fc_tags. SleekAI reads them directly through the FluentCRM API and includes the matched contact's data in the bot's context. You choose which fields enter the prompt, so sensitive notes stay out while names, lists, and recent activity flow through.
 Two signals. First, when a WordPress user is logged in and their email matches a FluentCRM contact, the contact loads automatically. Second, FluentCRM's tracked links set a cookie that identifies the contact, so a visitor arriving from a campaign click is recognized even if they never registered. If neither signal is present, the bot defaults to a stranger persona with no CRM context exposed.
 It can describe what tags will be added and trigger a webhook or REST call you wire to a FluentCRM automation. The actual write happens through your existing automation so segment rules, double opt-in, and consent flags stay enforced by FluentCRM. Letting the bot write directly would bypass those rules, which is why SleekAI guides and your automations execute.
 Yes. Pro features like advanced reporting and additional integrations live in the same database tables, so any field FluentCRM stores can flow into the bot context. The base SleekAI integration treats Pro and free identically; the difference is what data exists to expose, not what SleekAI can read.
 Yes. Use SleekAI's multibot feature with display conditions on user login state, FluentCRM list membership, or tag presence. A common setup is one cold-traffic bot focused on plan comparisons and one warm-contact bot that opens with the contact's name, last list, and the campaign offer they were sent.
 Inside WordPress, with full message history per session. Conversation logging lets sales managers review tone and accuracy, and is essential for tightening the prompt over time. Logs stay on your site; LLM providers see only the request payload at inference time, not a copy of the full history outside that turn.
 Only if you keep expired campaign details in the prompt deliberately. Best practice is to load a small block of currently active codes and offers and rotate it on a schedule. When a code expires, take it out of the prompt and the bot stops quoting it. That keeps the bot from offering a Q1 deal in May because nobody removed it from the system message.
 Yes. SleekAI only reads what FluentCRM has stored, and FluentCRM's consent and double opt-in flags are part of that record. If you exclude unconsented contacts from the lookup or filter for double-opt-in status before exposing list and tag data, the bot will only personalize for contacts who actually agreed. Treat this exactly as you would any other CRM read in your stack.
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