✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

AI chatbot for Flamingo CF7 storage: search messages with AI

SleekAI reads the flamingo_inbound and flamingo_contact post types, the _from, _subject, _channel, _date, and _field_* postmeta keys, so staff can search and triage stored CF7 messages with their own OpenAI, Anthropic, Google, or OpenRouter API key.

♾️ Lifetime License available

SleekAI chatbot for Flamingo

Flamingo stores messages, but doesn't help you read them

Flamingo is the official add-on that gives Contact Form 7 a database. Submissions land as flamingo_inbound custom posts with postmeta like _from, _subject, _channel, _date, plus one _field_{name} key per form field. Senders are deduplicated into flamingo_contact posts. It's a clean schema and a real upgrade over emailing forms into oblivion. But the wp-admin list view still asks you to click through one message at a time.

SleekAI reads both post types directly. It can list messages by channel (which CF7 form sent them), search inside _field_message for a keyword, group inbound posts by _from, or pull the last seven days of submissions for a quick triage. When a staff member asks "did we ever hear from acme.com" the bot answers from flamingo_contact records rather than from a guess.

Generic chatbots only see public-facing content. They can't read the flamingo post types and have no idea what _field_* postmeta keys exist on your forms. Worse, exposing this data to a public bot would leak private submissions. SleekAI handles both sides: variable mapping for the data, display conditions to keep the bot behind staff-only pages, and conversation logs so you know who searched the inbox.

Workflow

How SleekAI plugs into Flamingo

1

Map both post types

Expose flamingo_inbound and flamingo_contact in SleekAI's variable mapping, including the _from, _subject, _channel, _date, and _field_* postmeta. The bot now has structured access to every CF7 submission Flamingo has stored.
2

Restrict to staff

Use display conditions to limit the bot to logged-in users with editor capability or above. The widget can live in a wp-admin dashboard widget, on a hidden staff page, or behind a Members plugin gate.
3

Add the queries staff actually run

Configure presets for volume this week, returning senders, and keyword search. Presets train the team on what the bot can answer accurately and reduce phrasing variation that confuses the model.
4

Audit and refine

SleekAI logs every query with user, model, tokens, and URL. Review monthly. If staff keep asking the same thing in different words, add a preset. If a query returns wrong answers, extend the instruction with the missing context.

Try it now

A staff member triaging Flamingo messages

An office manager asks the SleekAI bot to triage and summarize this week's CF7 messages stored by Flamingo.

Comparison

Generic chatbot vs SleekAI for Flamingo

Generic chatbot

  • Can't read the flamingo_inbound or flamingo_contact post types at all
  • No access to _from, _subject, _channel, _date, or _field_* postmeta
  • Misses returning sender detection that flamingo_contact provides
  • Can't scope by CF7 form (channel), so all messages look identical
  • No native way to keep the chatbot private to logged-in staff

SleekAI chatbot

  • Reads flamingo_inbound postmeta including _from, _subject, and _channel
  • Cross-references senders with flamingo_contact for returning-visitor context
  • Searches across _field_message and other dynamic field postmeta
  • Filters by channel, date range, or sender domain for fast triage
  • Staff-only via display conditions, with full conversation logging

Features

What SleekAI gives you for Flamingo

Channel-aware triage

Each Flamingo inbound stores _channel pointing to the originating CF7 form. SleekAI uses that to separate sales leads from careers applications from press inquiries, so staff get answers scoped to the right pipeline.

Returning sender detection

flamingo_contact deduplicates senders by email. SleekAI joins inbound posts with their contact record, so the bot can flag a third message from the same person, which is the kind of context that prevents embarrassing copy-paste replies.

Field-level keyword search

Each form field becomes a _field_{name} postmeta. SleekAI exposes those individually so the bot can search inside the message field or the project type dropdown without scanning the whole post object.

Use cases

Where this chatbot earns its keep

Recruitment teams

HR pulling careers form submissions by role, location, and date. The bot summarizes incoming applications and highlights repeat applicants from flamingo_contact.

PR and press inquiries

Comms teams scanning a press form for journalist names, deadlines, and publication mentions. The bot reads _field_* and surfaces the urgent ones first.

Customer support inboxes

Support staff asking which messages mention refund, cancel, or broken. The bot returns matching inbound entries and notes whether the sender is new or returning.

The bigger picture

Why a Flamingo chatbot beats clicking through inbound

Flamingo is the right add-on for any CF7 site that takes more than ten messages a week. It stores them, deduplicates senders, and gives you a list view in wp-admin. That last part is where the productivity stops.

The list view is fine for browsing yesterday, useless for asking a question about last quarter. Most teams compensate by tagging messages with a colleague or copying them into a spreadsheet, which is exactly the kind of manual work a chatbot eliminates. With SleekAI reading flamingo_inbound and flamingo_contact directly, the inbox becomes queryable.

A new hire can ask the bot to show all messages mentioning a competitor name from last month and get an answer without learning the WP_List_Table filters. A manager can ask how often a particular sender has reached out, and the bot answers from flamingo_contact rather than from a screenshot in Slack. The hours add up.

They also surface patterns nobody had time to spot before, like a sudden spike in refund mentions or a returning sender on their fourth unanswered message. For solo operators, that visibility is the difference between running an inbox and being run by one. For small teams, it's the difference between a CRM you don't pay for and a CRM you couldn't justify buying.

Questions

Common questions about SleekAI for Flamingo

As flamingo_inbound custom posts with postmeta including _from, _subject, _channel (the CF7 form slug), _date, and one _field_{fieldname} per submitted field. Senders are deduplicated into flamingo_contact posts. SleekAI reads both post types via variable mapping.

 

Yes. Each form field Flamingo saved becomes a _field_{name} postmeta on the inbound post. Map the ones you want the bot to query, like _field_message or _field_budget, and the bot can search and summarize across all stored entries.

 

Only if you scope the bot to logged-in staff via display conditions. Never expose a Flamingo bot to public visitors. Place the widget on wp-admin, a private staff page, or behind a role check. SleekAI also logs every query so you have an audit trail.

 

Both. Flamingo (free) creates the post types and postmeta SleekAI reads. Flamingo Pro adds features like CSV export and outbound message storage. SleekAI reads whatever exists in the database, so Pro fields are accessible too once mapped.

 

No. SleekAI is read-only. Deleting Flamingo entries goes through wp-admin or WP-CLI. This is deliberate. A safe staff bot reads and reports, it doesn't bulk-delete posts. The audit log still tracks who searched, even though the bot never wrote anything.

 

If you map the postmeta key Flamingo uses for spam status, yes. The bot can then filter out spam by default or surface it explicitly. Flamingo stores spam markers as standard postmeta, so the integration is straightforward variable mapping.

 

Outbound posts are a separate custom post type, flamingo_outbound. Map it the same way. The bot can then summarize sent-from-WordPress emails alongside inbound, which is useful for teams that use WordPress as a light CRM.

 

SleekAI prefilters before sending data to the model. Tell it to scope to the last 30 days or to a specific channel before listing. For sites with tens of thousands of Flamingo posts, the bot stays fast because the model only sees a relevant subset, not the whole table.

 

Pricing

More than 1000+
happy customers

Explore our flexible licensing options tailored to your needs. Upgrade your license anytime to access more features, or opt for a lifetime license for ongoing value, including lifetime updates and lifetime support. Our hassle-free upgrade process ensures that our platform can grow with you, starting from whichever plan you choose.

Starter

€79

EUR

per year

  • 3 websites
  • 1 year of updates
  • 1 year of support

Pro

€149

EUR

per year

  • Unlimited websites
  • 1 year of updates
  • 1 year of support

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€249

EUR

once

  • Unlimited websites
  • Lifetime updates
  • Lifetime support

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What’s included

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