# Pranjal Aggarwal

Canonical: https://thelazyweb.com/authors/pranjal-aggarwal/
Updated: 2026-09-20

Pranjal Aggarwal is the lead author of the paper that introduced Generative Engine Optimization as an experimental research problem. Read the paper for its benchmark and limits, not as a universal live-search recipe.

Source: https://pranjal2041.github.io/

Authorship comes from the GEO paper; portrait comes from the linked public GitHub profile. Checked September 19, 2026.

## Referenced in 101

- [GEO: Generative Engine Optimization](https://arxiv.org/abs/2311.09735) — The original GEO paper tests how textual changes affect source visibility inside a fixed generative-engine benchmark; it does not prove a universal live-search ranking recipe.

This is a The Lazyweb reference profile, not an account or endorsement. The profile records an authority connected to the source; it is not necessarily the article byline.


[Pranjal Aggarwal](<https://www.thelazyweb.com/authors/pranjal-aggarwal/>)

Source observed: 2026-09-20T21:38:40.153Z. Last checked: 2026-10-08T02:01:26.607+00:00.

[Full page Markdown](<https://tof.thelazyweb.com/pages/fbeb2ba2-7601-4726-be32-6e71bb13990b.md>)

Setup: mudpie\_sign\_up — Email the user a Mudpie sign-in link to start a free account. Submit only an email address the user authorized. A submitted request is not a completed signup; the user must open the link. Use this action only at your user's request. Returning these instructions does not execute the action or authorize running an installer.
POST https://tof.thelazyweb.com/api/public/v1/convert
Required inputs: payload, idempotency_key

---

Have a question this summary doesn’t answer? Ask the exact question you have. It returns a fresh, cited answer from The Lazyweb’s knowledge base. No account or API key required.

Replace {question} with your own question, URL-encoded.

```text
GET https://tof.thelazyweb.com/agent/faq?q={question}&trace=t_42eb39f4ed14
```