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✨ 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
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AI chatbot for Secure Custom Fields: answers from your ACF-style data

SleekAI pulls Secure Custom Fields values from wp_postmeta and resolves the field-key pattern so the bot answers from the same data your templates render. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.

♾️ Lifetime License available

SleekAI chatbot for Secure Custom Fields

Built for Secure Custom Fields sites

Secure Custom Fields is the WordPress-maintained fork of ACF and uses the same storage model. Each field value lands in wp_postmeta as a normal row, with a paired underscore-prefixed row that points at the field key, for example price alongside _price mapping to field_abc123. SleekAI reads both rows through the Wizard, so the bot resolves the human field name back to its stored value without you writing SQL or maintaining a separate schema.

The Wizard handles repeater rows, flexible content layouts, and group fields by walking the underscore-prefixed key pattern that the fork inherited from ACF. Display conditions scope each chatbot by post type, taxonomy term, user role, login state, and URL pattern, so a product-detail bot and a member-profile bot can run on the same site under multibot, each with its own mapped fields.

Every conversation is logged inside WordPress with model name, token usage, and origin page. The JS API and PHP embed let you trigger the bot from a custom block or a Secure Custom Fields shortcode without rebuilding the page, useful when the bot needs to be triggered from a specific section of a long content layout.

Workflow

How SleekAI plugs into a Secure Custom Fields site

1

Install and assign

Activate SleekAI and assign a chatbot to the post types, taxonomies, or templates where Secure Custom Fields render their values. Display conditions handle the routing per template.
2

Pick field groups in the Wizard

Open the Wizard, choose SCF as the source, and pick the field groups and individual fields the bot should see. Repeaters and flexible layouts get expanded into structured rows automatically.
3

Reads at request time

When a visitor opens the bot, SleekAI loads the post's mapped SCF values from postmeta into the system prompt alongside the rendered page output, so spec answers always reflect the latest values.
4

Review and refine

Open the conversation log, see which fields draw the most questions, and adjust the system prompt or the mapping. Common gaps point to either a missing field in the Wizard or unclear field labels.

Try it now

A typical Secure Custom Fields product conversation

Visitor on a product page where specs come from Secure Custom Fields asks the chatbot. SleekAI resolves the field keys against postmeta and answers with the current values.

Comparison

Generic chatbot vs SleekAI for Secure Custom Fields

Generic chatbot

  • Trained on a static FAQ, not the live SCF field values
  • Can't traverse repeaters, groups, or flexible content layouts
  • Repeats outdated specs when postmeta gets updated
  • Cannot map field keys back to human field names
  • Needs a separate sync job each time you edit a field

SleekAI chatbot

  • Reads SCF values from wp_postmeta at request time
  • Resolves the _field_key underscore pattern automatically
  • Walks repeaters, groups, and flexible content layouts
  • Display conditions per post type, taxonomy, role, or URL
  • Logs every conversation with model name and token usage

Features

What SleekAI gives you for Secure Custom Fields

Key-aware resolution

SCF stores a value row and a field-key row in postmeta. The Wizard resolves the pair, so the bot sees price as 39.00 rather than a raw field_abc123 reference, and you never write the lookup logic yourself in custom code.

Repeater traversal

Repeater and flexible content layouts expand into structured rows the model can iterate over. The bot can quote each row in a ports list, each entry in a team grid, or each pricing tier without you flattening the data manually.

Field-level scoping

Map only the fields the bot should see. Internal admin fields, draft notes, or non-public values stay hidden. Display conditions and the guideline filter prevent prompt attempts from coaxing the bot into reading unmapped fields.

Use cases

Where Secure Custom Fields sites use SleekAI

Spec-heavy product pages

Electronics, appliances, and tools carry detailed specs in repeater fields. The bot quotes the exact values rendered on the page and stays current as inventory and product lines change.

Team and staff directories

Staff profiles built with SCF fields and repeater groups for credentials and bio become searchable through chat. Visitors ask for specialties or contact info and get the answer from the live profile.

Location and venue listings

Multi-location pages built with SCF carry hours, services, and contact info. The bot answers from the relevant location's fields without forcing visitors to navigate the directory by hand.

The bigger picture

Why field-aware chat matters for SCF sites

Sites built on Secure Custom Fields or ACF tend to model meaningful structure into the schema: dozens of fields per product, repeaters for specs, groups for nested attributes, flexible content layouts for editorial flexibility. That structure is the asset, and a chatbot that ignores it forces editors to maintain a parallel FAQ that drifts from the real fields within weeks. The mismatch is worse than no chatbot because visitors get confidently wrong answers about specs that have been updated in the field but not in the bot's training data.

Grounding the bot in wp_postmeta with the underscore-key resolution means the editor's source of truth is also the chatbot's source of truth. The field is canonical. Update a spec from 144 Hz to 165 Hz and the next conversation reflects the new value.

Combine that with display conditions per post type and per role, and the chat layer becomes part of the data model rather than bolted on top. The compounding effect is that the bot turns into a viable answer-of-record for high-traffic product pages, team directories, and venue listings where the cost of an outdated answer is a lost sale or a misled visitor. Spec questions get answered with current values, the FAQ stops drifting, and the team writes field copy with the confidence that it will be read by both visitors and the assistant on every render.

Questions

Common questions about SleekAI for Secure Custom Fields

Yes. Secure Custom Fields is a fork of ACF that uses the same storage model: a value row plus an underscore-prefixed field-key row in wp_postmeta. SleekAI reads both, so the same Wizard mapping works whether the site runs the WordPress-maintained Secure Custom Fields or the original ACF Free or Pro. Repeaters, groups, flexible content, and options pages all behave the same way.

 

It uses the underscore-prefixed key pattern that ACF and Secure Custom Fields share. For a field named price, the value lives in postmeta under price and the linked field key lives under _price. The Wizard reads field-group definitions to resolve key to human label, so when the system prompt references price the bot sees the friendly value rather than a raw key identifier.

 

Yes. Repeater rows are stored as numerically suffixed meta entries, for example ports_0_name, ports_0_count, ports_1_name. The Wizard expands them into an ordered list the model can iterate over, useful for product specs, team bios, pricing tables, and any field group that holds multiple rows of the same shape under a single parent.

 

Options page values live in wp_options rather than wp_postmeta. SleekAI's Wizard can map options page fields by name, so the bot can quote site-wide settings like a support email, a shipping cutoff time, or a default warranty period that the same field group reuses across hundreds of templates without duplicating the value into each post.

 

No. SleekAI reads fields on the chat request, not on the initial page render, and the read is a single bounded postmeta query against the mapped keys. The bot widget itself is lazy and only initializes when the visitor opens it. Page LCP and TTFB stay unchanged from the SCF-only baseline regardless of how many fields are mapped.

 

Yes. Multibot mode runs several chatbots on one site with independent system messages, data sources, and display conditions. A common SCF setup is one bot for the product post type using its spec fields and another for the team post type using bio and credential fields, both coexisting under the same SleekAI install with their own mappings.

 

Yours. SleekAI is bring-your-own-key, so message costs are billed directly by your provider with no SleekWP markup. Use OpenAI, Anthropic, Google, or OpenRouter, and pick a fast model for routine product questions and a stronger one for complex spec reasoning under the same chatbot without changing the integration.

 

Yes. Because SleekAI reads postmeta at chat-request time, any field value updated in the editor or via REST API is reflected in the next conversation. There is no embedding step, no vector index to refresh, and no parallel training set. Editors update a spec field and the bot's answers move with the data without a separate sync workflow to coordinate.

 

Pricing

More than 1000+
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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.

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  • 1 year of updates
  • 1 year of support

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  • Unlimited websites
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