If you had asked us before the analysis what the relationship between AEO score and AI bot crawl rate looked like, we would have said "linear, probably." Higher score, more crawls, smooth slope.
That is not what the data shows.
Mean crawls per brand are essentially flat across AEO scores 3 through 7. Then at score 8 they jump 3 times higher. At score 9, they jump again to 9.8 mean crawls. The shape is not a slope. It is a cliff.
Here is the data, cut by integer AEO score across the 395,022 brands in our dataset that have been crawled at least once:
Score 3: 59,286 brands, mean 1.4 crawls each. Score 4: 117,439 brands, mean 1.3. Score 5: 111,215 brands, mean 1.3. Score 6: 88,316 brands, mean 1.9. Score 7: 16,310 brands, mean 1.8. Score 8: 1,522 brands, mean 6.3. Score 9: 161 brands, mean 9.8. Score 10: 7 brands, mean 9.3.
First, the median brand in our directory scores between 4 and 5. The histogram is heaviest at score 4 (117,439 brands) and score 5 (111,215 brands). This is consistent with what we see in individual audits. Most small and mid-size businesses have some structured-data work in place but not the full slate that AI engines reward.
Second, the brands that cross into the 8-plus range are rare. Only 1,690 brands in the entire dataset (about 0.4 percent of the crawled set) hit a score of 8 or higher. Those rare brands collectively receive a disproportionate share of AI bot attention.
The most likely explanation is that scoring 8 or higher requires a brand to have multiple categories of structured signals working at once. You cannot reach 8 by being excellent at structured data and weak at entity clarity. The score is a multi-category average, so reaching 8 requires consistent strength across structured data, content structure, entity clarity, E-E-A-T credibility, technical infrastructure, and AI crawler access.
AI bots appear to read these signals as a combined trust threshold. A brand with strong schema but missing entity clarity reads as a polished but unfamiliar entity. A brand with strong entity clarity but no schema reads as a real organization that has not been formally introduced. Neither one crosses the threshold that puts the brand in the recurring-citation pool.
Brands at 8 and above clear that combined threshold. The cliff is not a quirk of the dataset. It is the model boundary AI bots use to decide what is worth coming back to repeatedly versus what is worth crawling once and forgetting.
If you are choosing where to spend marketing or development budget on AEO work, the cliff has a concrete implication. Moving a site from score 3 to score 6 is meaningful internally but does not change the brand's AI search outcome much. Mean crawls go from 1.4 to 1.9. The site is still in the long flat zone.
Moving a site from score 7 to score 8 changes the outcome dramatically. Mean crawls more than triple. That single point of score is worth more in AI bot attention than the previous four points combined.
This does not mean you should skip the work to go from 3 to 7. You cannot reach 8 without first traveling through 4, 5, 6, and 7. The point is to know that the payoff curve is not smooth, and that the budget required to push from 7 to 8 is the highest-leverage marginal investment in the whole journey.
Because only 0.4 percent of crawled brands have crossed the cliff, the brands that have done so have a structural advantage. Their AI search visibility is roughly 5 times higher than the median brand in their competitive set, and it compounds over time because AI bots return to high-quality sources more frequently than they return to one-time crawl targets.
Even more interesting: the 8-plus cohort is not dominated by the largest brands. Most of the 1,690 brands in this cohort are small and mid-size businesses that personally invested in AEO setup. The handful of enterprise brands at score 8 or higher achieved their position the same way: through deliberate, schema-level work. There is no shortcut for size.
The free AEO score at engagemii.com/aeo returns your number across all six categories. If you are below 7, the report ranks fixes by impact so you know which work moves you toward the cliff fastest. If you are in the 7-to-8 transition zone, the report is even more useful: it identifies the specific weak categories that are holding you below the cliff.
Most sites audited for the first time score between 3 and 5. Getting to 7 takes most teams about a week of focused work. Getting from 7 to 8 takes a separate, more careful push and is the single most valuable AEO investment you can make.
The score-band table in this article is Section 3.3 of Engagemii's research brief. The dataset is 1,187,128 brand domains analyzed on 2026-05-29, with AEO scores generated by Engagemii and AI bot crawl counts observed across the major LLM operator bots. The full methodology, including the LightGBM models that power the per-feature attribution, is at engagemii.com/research/aeo-crawl-drivers.
If you want to cite this article, the URL is engagemii.com/blog/aeo-score-8-cliff.
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