We ran the GrandRanker GEO Score Analyzer against 60 SaaS landing pages to measure how the industry is doing on AI search readiness. The results expose a clear pattern: most sites are not ready, and the gap is consistent across the same handful of signals.
Score buckets from 0 to 100. The bulk of the population lands in the 20-59 range — a stark indicator that most sites are unprepared for AI search.
Average score per GEO pillar. The lowest-scoring pillar is where the next 12 months of GEO investment should concentrate.
Sites with the highest GEO scores in our sample.
Sites scoring lowest. Names omitted to avoid public shaming.
Hosts are anonymized in the bottom list. Top performers shown publicly because being cited as a leader benefits the brand.
These are the specific checks that the largest share of sites fail. Each one is a concrete fix the average site could implement in 15 minutes.
We ran the GrandRanker GEO Score Analyzer against 60 URLs collected from publicly available company lists. The analyzer fetches each URL once with a desktop user agent, parses the HTML, and runs 16 individual checks across five weighted GEO pillars.
The five pillars are AI Citability (35% weight), AI Crawler Access (15%), E-E-A-T Signals (25%), Technical Foundations (15%), and Content Substance (10%). Each pillar is scored 0-100 based on the share of its checks that pass. The overall GEO Score is the weighted sum.
All checks are deterministic — no human judgment, no LLM-in-the-loop. Re-running the analyzer on the same URL produces the same score (assuming the page itself has not changed). The same scoring rubric is available as a free public tool at grandranker.com/free-tools/geo-score-checker.
Sample size: 60 sites successfully analyzed, 43 failures (typically due to bot blocks, JavaScript-only rendering, or HTTP errors). Failures are excluded from the aggregate scores but reported in the dataset.
GrandRanker (2026). "SaaS GEO Readiness Study 2026". Retrieved from https://grandranker.com/research/saas-geo-readiness-2026.
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