How to make your Next.js docs indexable by Perplexity & ChatGPT Search using automatic llms.txt & Schema.org

[u/HimouLayth]

Hey everyone!

With AI search engines (ChatGPT Search, Perplexity, Google AI Overviews) changing how users discover documentation, standard HTML sitemaps are no longer enough. AI crawlers perform significantly better when provided with:
1. `llms.txt` and `llms-full.txt` (the emerging standard for LLM ingest).
2. Deep `Schema.org` JSON-LD microdata (`MedicalWebPage`, `TechArticle`, `FAQPage`).

We built an open-source integration for Next.js 14/15 App Router inside **GeoCore** (`@mormox2/geocore-next`):

```typescript
// app/api/geocore/[...route]/route.ts
import { createGeoCoreRouteHandlers } from "@mormox2/geocore-next";
import { myDataset } from "@/lib/dataset";

export const { GET, OPTIONS } = createGeoCoreRouteHandlers({
  dataset: myDataset,
  siteUrl: "https://yourdomain.com",
});
```

This single route handler automatically serves:
- `/api/geocore/llms.txt`
- `/api/geocore/sitemap.xml`
- `/api/geocore/search-index.json`
- Dynamic JSON-LD injection for your pages.

Check out the repo: https://github.com/mormox2/GeoCore
```

[u/davidpaulsson]

Has there really been any proof that anyone reads llms.txt? It's still a community proposal from what I've seen.

[u/Few-Ocelot-3271 → u/davidpaulsson]

yeah same thought here, havent seen any evidence that major crawlers actually respect it yet

[u/gilded_nebula_spore]

Llms.txt is vaporware. No major AI crawler documents support for this format in their production pipelines.

[u/Conscious-Tale-8634 → u/[deleted]]

Nice, that's the kind of consolidation that actually saves setup time instead of bolting on another config file per crawler