Sri Sahya: AI visibility in 30 days
srisahya.com needed proof that answer engines could recommend them for priority service queries — not just that classic SEO scores looked healthy. Over 30 days they ran an Ad Cerebro scan-and-fix loop: baseline audit, prioritized fixes, weekly re-probes.
Baseline
- 47 critical and high site-audit issues (schema gaps, thin FAQ coverage, missing agent guidance)
- AI Presence score of 38 / 100 across probed category and comparison queries
- Weak or missing citations on “best of” and comparison-style prompts in ChatGPT and Perplexity
What Ad Cerebro found
- Structured data incomplete on key service pages
- No
llms.txtand inconsistent robots guidance for AI crawlers - Thin entity and FAQ coverage where competitors owned the narrative
- Agent-readiness gaps on sitemap clarity and canonical consistency
What changed
The team fixed priority schema and FAQ blocks on money pages, published
a clear llms.txt, tightened crawl signals, and strengthened
entity copy for comparison-ready sections. They re-scanned weekly until
dimension scores and citation readiness moved — instead of guessing from
a one-off audit PDF.
Operating loop: probe engines → prioritize Agent Readiness and content gaps → ship fixes → re-scan. Presence, citation, and recency scores only count when the loop repeats.
Outcome
- Critical/high issues down from 47 to 12
- AI Presence score up from 38 to 71
- Clearer, more frequent brand mentions on priority prompts; stronger citation readiness on service queries
Results reflect Ad Cerebro scan metrics for this engagement. Exact engine surfaces shift over time — the durable win is a measurable readiness and presence baseline you can re-check.