How SitePulsar Works

What SitePulsar audits

Search is changing. Instead of scrolling through ten blue links, users now ask conversational AI engines for answers. SitePulsar helps brands adapt to this shift by auditing three core pillars of Agent Experience Optimization (AEO):

• FIND: We measure your brand's visibility, sentiment, and recommendation frequency inside the world's leading AI answer engines, plus on-site discoverability signals (llms.txt, sitemap, agent.json).
• READ + USE: We run over 20+ technical checks (JSON-LD schema, machine-readable documentation, endpoint discoverability, MCP, agent task surfaces) to ensure autonomous AI agents can comprehend your content and take action on your website.

The audit pipeline

Every audit triggers our proprietary pipeline, which completes in under three minutes:

How scores are calculated

SitePulsar does not use arbitrary vanity metrics. The AEO audit utilizes our deterministic scoring engine with three pillars (FIND, READ, USE) backed by 11 underlying sub-signals, heavily influenced by recent academic research in generative engine visibility.

The FIND pillar evaluates dimensions like Brand Authority and on-site discoverability; READ assesses content comprehension, schema depth and trust signals; USE assesses Machine Readability and Action Readiness. You can view the exact dimensional weights and breakdown on our About page.

What you get in the report

A complete SitePulsar audit report includes:

• Overall AEO Score with FIND/READ/USE breakdown (0-100 scale each).
• Prioritized Action Plan: Technical fixes sorted from Critical to Low priority.
• Competitor Map: An analysis of brands frequently recommended alongside or instead of yours.
• Schema Markup Analysis: Missing entity data, unlinked products, and structural gaps.
• Reputation & Sentiment: A cross-engine breakdown of how LLMs portray your company.

Why this matters

Traditional SEO focuses on organic ranking. AEO's FIND pillar focuses on being the definitive, cited answer; USE focuses on being the site agents can actually transact with. The shift toward AI-generated responses is fundamentally altering how users interact with the web:

• Search behavior is shifting: According to a Gartner prediction, traditional search engine volume is forecasted to decline by 25% by 2026 as users increasingly turn to AI chatbots and virtual agents for immediate answers.
• Academic origins: AEO builds on the research category formalized as "GEO: Generative Engine Optimization" in the landmark Aggarwal et al. paper presented at the 30th ACM SIGKDD Conference (2024). The researchers found that specific technical optimizations — adding robust statistics, direct quotes, and citing authoritative sources — boost AI citation rates by 30–41%. We expanded that foundation into AEO's three pillars (FIND, READ, USE).

Brands that optimize for AI visibility today will capture the "share of voice" in generative answers, while those who rely solely on traditional blue-link SEO risk disappearing from the user's immediate view.