The Synthetic Internet
for AI Search

People trust ChatGPT's recommendations. We make it trust you.

What is AEOsim?

AEOsim is the flight simulator for B2B content, allowing you to test and fix your rankings in a sandbox environment before going live.

We do this by running a predictive engine that replaces SEO-like educated guesswork with deterministic simulations, ensuring your content is best positioned to maximize your positive visible mentions and share of voice in high-intent queries.

Cached mock run. Actual simulation takes 25-35mins per blog.

Answer Engine Optimization

Most experts take educated guesses on what might work for your website. Real Analytics data comes in weeks or months later. Too little, too late.

We remove the need for guesswork and cut feedback loops short from 30 days to 30 minutes.

BEACON* Technology

Illuminating the black box of AI search with our proprietary *Bayesian Engine for Answer Convergence in Optimized N-space.

Simulated Testing

Our engine generates 50+ simulated variants of your content and tests them against Gemini, Perplexity, and SearchGPT to find the winner.

Mathematical Precision

Detailed best-in-class audit reports powered by real mathematical algorithms, not just heuristics. Get verifiable data.

Rocketships are not built without simulation.

Don't let yours explode on launch.

Ready to Optimize for AI?

Join the waitlist and be among the first to access AEOsim.

Frequently Asked Questions

Everything you need to know about AEOsim

Any real search is a hybrid combination of keyword search (think BM25) and semantic retrieval (think vector similarity), along with certain metadata filters. Traditional search algorithms differ from AI search in that 1) relative importance of keywords and semantics is different, and 2) the particular metadata filters which are most important are different. This means that AEO requires a different approach from SEO.
Experts apply their experience and domain knowledge to guess at what might work. Real performance analytics can take months to materialize - valuable time. AEOsim does two things differently. 1) We eliminate the need for this reliance on guesswork framed as expertise; and 2) we cut down the time-to-data from weeks to minutes.
No - this method has limitations. For instance, proprietary algorithmic layers and human behaviour are hard and sometimes impossible to simulate perfectly. Our team is always hard at work trying to get BEACON as close as possible to the real AI internet, and we are constantly shipping improvements.
Our proprietary BEACON technology has been applied to neuromorphic and edge hardware research, for early-stage validation of potential chip designs.
Yes, AEOsim is model-agnostic and can work across LLM providers. Costs may vary.
Not at all. For our early users, we do the legwork. You never even have to face the simulation interface.
We are a team of IIT Delhi students. Among us, we have experience handling end-to-end GEO/AEO for $100M+ companies and investigating chip design using BEACON, coupled with a first-principles understanding of Machine Learning and optimization, statistics and models, systems design, and computational simulation - brought together by the vision to apply these engineering concepts to a marketing field.