ALGORITHMIC
ATTENTION AUDIT.
Measure your brand's visibility to the machines that decide human attention. In an AI-first world, your first customer is no longer a human—it is an algorithm.
01
Search Engine Attention
1.1 Indexation completeness: Over 90% of important pages are indexed (check GSC Coverage).
1.2 Structured data coverage: Valid Product, FAQ, or Review schema on over 80% of pages.
1.3 Ghosted relevance diagnosis: Have you run the GSC query (positions <10 but impressions <100) and fixed pages?
1.4 Crawl budget health: Googlebot crawls our most important pages daily.
02
Recommendation Engine Attention
2.1 Co‑occurrence presence: Do you appear in "frequently bought together" sections for top competitors?
2.2 Cold‑start velocity: New items appear in recommendation carousels within 2 weeks.
2.3 Engagement velocity tracking: Systematically optimize for early-stage engagement (completion rate, return rate).
2.4 Impression share in carousels: Track % of impressions coming from "recommended" sections.
03
Generative AI Agent Attention
3.1 LLM mention rate: Brand appears in top 3 mentions for category queries ≥40% of the time.
3.2 Structured data retrievability: Key pages pass Rich Results Test with zero errors and complete JSON-LD.
3.3 Authority for LLM training: Domain cited in Common Crawl >5,000 times or high-authority backlinks (.gov/.edu).
3.4 Question‑answering format: Content published in direct Q&A format with schema markup.
3.5 Real‑time LLM indexation: Content appears in Bing/Google index within 4 hours.
04
Shopping Bot Attention
4.1 Feed acceptance rate: Over 98% of product SKUs accepted without errors.
4.2 Price competitiveness: Top 20 SKUs rank in top 3 on Google Shopping/PriceRunner.
4.3 Availability consistency: Inventory status matches shopping bots with <1 hour latency.
4.4 Disapproval rate by attribute: Image, GTIN, or description disapproval rate is <5%.
4.5 Custom labels for segmentation: Bestseller, clearance, or seasonal labels used in feed.
05
Organizational & Measurement
5.1 Monthly Dashboard: Track indexation, structured data, LLM mention rate, and feed acceptance.
5.2 Diagnosis capability: Successfully diagnosed an "invisibility" issue in the last 6 months.
5.3 Prioritization Framework: Clear process to decide between structured data, feed quality, or authority.
5.4 Risk Forecasting: Estimated risk scores for each surface with action plans.
5.5 Leadership awareness: CEO/CMO can explain algorithmic attention significance.
5.6 Weekly operational rhythm: Responsibility for GSC, Merchant Center, and prompt tests.