Hi, I'm Viveka, founder of AISearch Global (Sydney)

I'm Viveka Mohan Das, founder of AISearch Global, a Sydney AEO and GEO consultancy for solo founders and small teams.

My focus is the gap between how well a site is built for AI retrieval and what AI tools actually say about the business. Most AEO work measures only the first.

The research: the Two-Clock Model

Structural readiness and AI perception run on separate clocks. Structure (crawler access, rendering, schema, entity consistency, quotable answers) can be fixed in days. Perception depends on each tool's retrieval behaviour and training data, and it moves on its own schedule, tool by tool. Collapsing both into a single visibility score hides which clock is behind.

Evidence from my own site: it scored 100/100 on structure, while unbranded queries, the questions a stranger types without our name, still scored 0.

The audit method

- Dated observations. Every result carries the day it was checked, because AI answers drift.

- Multi-engine testing across ChatGPT, Gemini, Perplexity, Grok and Google AI Overviews, not a site crawl alone.

- Branded and unbranded query sets, tested separately.

- Fixes ranked by impact, starting with crawler access and rendering before content.

- A 30-day recheck to report direction rather than a one-off snapshot.

- No citation guarantees. Retrieval is probabilistic and anyone promising placement is overstating it.

Research: https://aisearch.global/insights/two-clock-model-research

Method and audit: https://aisearch.global

For founders here: when you query ChatGPT or Gemini with a category question that doesn't include your brand name, are you in the answer?