AI Generative Engine Optimization for Laravel

If you've been thinking about how your products show up in AI-generated answers, laravel-aigeo by Hitesh Zope is worth a look. It brings Generative Engine Optimization (GEO) tooling directly into your Laravel app, giving you structured metadata, AI-readable feeds, and an audit dashboard without a lot of glue code.

The HasGeoProfile Trait

The entry point is the HasGeoProfile trait, which you add to any Eloquent model you want visible to AI crawlers — a product, an article, a listing. You define a geoProfile() method that maps your model's fields to the schema the package uses for JSON-LD injection:

use Hszope\LaravelAigeo\Traits\HasGeoProfile;
 
class Product extends Model
{
    use HasGeoProfile;
 
    public function geoProfile(): array
    {
        return [
            'name'         => $this->name,
            'description'  => $this->description,
            'price'        => $this->price,
            'sku'          => $this->sku,
            'image'        => $this->image_url,
            'url'          => url("/products/{$this->id}"),
            'rating'       => $this->average_rating ?? null,
            'review_count' => $this->review_count ?? null,
            'currency'     => 'USD',
            'in_stock'     => true,
            'attributes'   => [
                'Brand' => $this->brand->name,
            ],
        ];
    }
}

Once the trait is in place, the package knows how to pull structured data from that model for schema generation and feed output.

Injecting JSON-LD with a Blade Component

With your model ready, you drop the <x-geo-head> component into your layout's <head>. It handles generating and injecting the JSON-LD <script> tag for that page:

<head>
    <x-geo-head :model="$product" />
</head>

The output is a structured JSON-LD block that describes your content in a format LLMs can parse when crawling your site.

llms.txt and the AI Product Feed

Two scheduled Artisan commands keep your AI-crawler-facing files up to date. The geo:llms-txt command generates a llms.txt file — a plain-text index that guides AI crawlers through your site's content. The geo:feed command outputs an ai-product-feed.json — a JSON feed structured specifically for LLM indexing rather than traditional RSS or sitemap formats.

Wire them up in your schedule:

use Illuminate\Support\Facades\Schedule;
 
Schedule::command('geo:llms-txt')->daily();
Schedule::command('geo:feed')->daily();

GEO Scoring Dashboard

The package ships with a dashboard at /geo that gives each of your registered models a 0–100 score based on AI-signal completeness — things like whether descriptions are filled in, schema fields are present, and citation-worthy data exists. You configure which models appear in the audit view via config/geo.php:

'dashboard' => [
    'enabled'    => true,
    'path'       => '/geo',
    'middleware' => ['web', 'auth'],
 
    'models' => [
        ['model' => \App\Models\Product::class, 'label' => 'Products'],
        ['model' => \App\Models\Article::class, 'label' => 'Articles'],
    ],
],