Introduction
Most form submissions get the same response.
“Thanks for reaching out, we’ll get back to you soon.”
It doesn’t matter if someone just asked for a complex API integration or a simple pricing question. They get the same generic message, and then they wait.
That gap between submission and response is where a lot of momentum gets lost. People are most engaged right after they hit submit, and that’s usually when they get the least helpful reply.
AI gives you a way to fix that without adding more manual work.
Instead of sending a generic confirmation, you can generate a response that actually reflects what the user said. Something that acknowledges their request, asks the right follow-up questions, and moves the conversation forward immediately.
The Problem with Static Follow-Ups
Gravity Forms already lets you send confirmations and notifications, but they’re static. You define them once and they apply to every submission.
That works fine for basic forms, but it falls apart when submissions vary in complexity.
A vague message gets the same response as a detailed project brief. A high-value lead gets treated the same as someone just exploring.
The result is missed opportunities. Not because the form is broken, but because the response doesn’t match the intent.
A Better Approach
Instead of sending a fixed message, you can generate a follow-up dynamically based on the submission itself.
When a user submits the form, your plugin captures the input, sends it to an AI service, and asks it to generate a short, relevant response.
That response can include a quick summary of what the user asked for, a couple of clarifying questions, and a tone that feels appropriate to the request.
The key is that it happens immediately, while the user is still engaged.
How It Fits Into Gravity Forms
Gravity Forms gives you a clean entry point for this with the gform_after_submission hook.
At that point, the form has been processed, the entry is saved, and you have access to all the submitted data.
From there, you can build a prompt using the user’s message and send it to an AI API.
Here’s a simplified example:
add_action( 'gform_after_submission', 'www_generate_ai_followup', 10, 2 );
define('WWW_OPENAI_API_KEY','Insert your OPEN AI Key here');
function www_generate_ai_followup( $entry, $form ) {
if ( $form['id'] != 1 ) { // Adjust form ID
return;
}
$name= rgar( $entry, '1.3' ); // Adjust field ID
$message = rgar( $entry, '7' ); // Adjust field ID
$website = rgar( $entry, '4' ); // Adjust field ID
$company = rgar( $entry, '3' ); // Adjust field ID
if ( empty( $message ) ) {
return;
}
$prompt = "A user submitted this request:\n\n" . $message . "\n\n" .
"Website: " . $website . "\n\n" .
"Clients Name: " . $name . "\n\n" .
"My Name: Anthony Brown\n\n" .
"Company: " . $company . "\n\n" .
"Write a short, professional follow-up email that:
1. Acknowledges their request by name, Don't include subject.
2. Summarizes what they need
3. Asks 1-2 relevant follow-up questions
4. Thank them for reaching out by name.
5. Mention the company
6. Format the email as valid HTML, but do NOT include any code block markers (such as ``` or ```html), just the HTML content itself.
";
$response = wp_remote_post( 'https://api.openai.com/v1/chat/completions', [
'headers' => [
'Authorization' => 'Bearer ' . WWW_OPENAI_API_KEY,
'Content-Type' => 'application/json',
],
'body' => wp_json_encode([
'model' => 'gpt-4o-mini',
'messages' => [
[
'role' => 'user',
'content' => $prompt
]
],
]),
'timeout' => 15,
] );
if ( is_wp_error( $response ) ) {
return;
}
$body = json_decode( wp_remote_retrieve_body( $response ), true );
$email = $body['choices'][0]['message']['content'] ?? '';
if ( empty( $email ) ) {
return;
}
// Send to user
// Set email content type to HTML
add_filter( 'wp_mail_content_type', function() { return 'text/html'; } );
$admin_email = get_option( 'admin_email' );
$headers = array();
if ( is_email( $admin_email ) ) {
$headers[] = 'Cc: ' . $admin_email;
$headers[] = 'From: ' . $admin_email;
}
wp_mail(
rgar( $entry, '5' ), // Set to the ID of your email field
'Thanks for contacting Worcester Wide Web',
$email,
$headers
);
// Reset content type to avoid affecting other emails
remove_filter( 'wp_mail_content_type', function() { return 'text/html'; } );
}What This Actually Changes
This isn’t just about sending a nicer email.
It changes the tone of the interaction from the very beginning. Instead of a generic confirmation, the user gets something that feels like a real response.
If they described a complex project, the reply reflects that. If they were vague, the reply helps guide them.
That creates momentum. It makes it easier for the conversation to continue instead of stalling out.
Making It More Useful
The real power comes when you stop treating the follow-up as just a message and start using it as part of a workflow.
You can store the generated response with the entry for reference. You can generate internal notes alongside the user-facing message. You can even extract key details and include them in your follow-up.
A stronger version of this setup might generate structured data alongside the email, like intent or project type, and use that to adjust how the follow-up is written.
That way the system isn’t just responding, it’s adapting.
Keeping It Under Control
This kind of system works best when it’s predictable.
You don’t want wildly different tones or responses that feel off-brand. That’s where your prompt matters. Keep it grounded and specific. Treat it like instructions, not a suggestion.
You’ll also want to think about when this runs. Not every form needs this level of response. For simple forms, it might be unnecessary. For anything involving services, quotes, or detailed inquiries, it makes a lot more sense.
Where This Has the Most Impact
This approach is especially useful for service-based businesses, agencies, and anyone dealing with custom work.
If your form submissions vary in detail and complexity, this helps bridge the gap between submission and meaningful response.
It’s also useful when response time matters. Even if you follow up later, the immediate message keeps the user engaged.
Final Thoughts
Gravity Forms already gives you the structure to collect information. AI gives you a way to respond to it intelligently.
When you combine the two, your forms stop being passive and start becoming part of an active conversation.
And in most cases, that’s the difference between a lead that moves forward and one that disappears.
One more thing, this code runs after processing which takes about 3 seconds or so. If you wanted to reduce lag time I would move it into a WP cron
