Direct answer
Google publicly names relevance, distance and prominence, recommends complete and accurate business information, and says reviews and positive ratings can help. It also states that algorithm details are confidential and better local ranking cannot be bought or requested.
Claims that Business Profile is exactly 32%, that 150 reviews unlock AI visibility or that a fixed posting cadence guarantees position are not confirmed. Audit observable consistency, eligibility, genuine reviews, location pages and evidence quality instead of reverse-engineered certainty.
Practical steps
- Define the decision, baseline period, population and metric before looking at the result.
- Record the primary source, collection date, denominator and exact meaning of every field.
- Segment pages, queries or locations before comparing scenarios; preserve raw totals and missing data.
- Act on a testable gap, monitor business outcomes and revisit the conclusion when platforms or coverage change.
Example
For a clinic, verify name, address, phone, categories, hours and landing-page details across owned properties; document missing or conflicting facts, then fix them. Do not convert the checklist into an algorithm score.
Common mistakes
- Turning one study average into a guaranteed forecast for every website.
- Calling an association causal or publishing secret algorithm weights and review thresholds as facts.
- Optimizing a proxy while ignoring qualified visits, leads, revenue, accessibility and user trust.
Limitations
- Search features, reporting access and local results change by query, place, device, time and user context.
- Exports and observational studies can reveal patterns, not the hidden ranking system or the counterfactual result for one site.
Primary sources
- Tips to improve your local ranking on Google — Google Business Profile Help; current 2026-08-19; 2026-08-19.
- Restrictions for policy violations — Google Business Profile Help; current 2026-08-19; 2026-08-19.
- Top ways to ensure your content performs well in Google's AI experiences on Search — Google Search Central; 2026-07-10; 2026-08-18.
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