Introduction
When an agent recommends a brand, it draws from its training data, uses search engines, and reads your content. This year, we expect agents to influence up to 50% of purchase decisions, up from 20% last holiday season[1]. The sites they can read, navigate, and transact on will get the traffic. The brands that are ready will win.
We built the Scanner to show brands how agents read their sites. It runs 40+ checks grounded in open standards from Google, OpenAI, and Anthropic. The result is a composite score along with an easy-to-read summary of what needs to be fixed to improve performance. Brands that improve their Site Score will rank higher in agent search, traditional search, and advertising auctions.
Scan any site free at point11.ai.
Industry Benchmarks
We scanned 5,400 websites across 18 industries to build industry benchmarks and help brands understand their score relative to peers. Each industry includes 300 sites across three tiers: 20% Enterprise (Fortune 500, household names), 60% Mid-Market (regional leaders, funded startups, DTC brands), and 20% SMB (local businesses, independent operators). This mix ensures the benchmarks reflect the full competitive landscape, not just the largest brands.
Benchmarks are refreshed quarterly so brands can track how their industry is evolving and where the bar sits.
The Scanner is a home inspection report for brands. It tells a brand if the site has a good foundation, performs well, and is readable by agents. The score itself is not the only factor of a brand's visibility, but it is an important first step that a brand can control.
Scoring Methodology
Each scan checks three dimensions: performance, discoverability, and accessibility. Performance measures how fast and reliably a site loads, using signals aligned with Google Lighthouse[2]. Discoverability tests whether agents can find and interpret your content, based on published crawler specifications from OpenAI[3], Google[4], and Anthropic[5]. Accessibility checks whether your structured data, metadata, and site architecture make it easy for agents to navigate and extract information.
These signals are combined with Point11's own data to produce a single composite score that reflects how well a site is built for both humans and agents. The gap between a top-performing brand and the industry median is where the opportunity lives.
Advertising Impact
Low scores are a hidden tax on advertising spend. When Google decides which ads to show, it uses a Quality Score[6] signal that considers both how much the advertiser is willing to pay and the quality of the webpage itself. Meta has a similar system[7]. Simply put, brands with low scores pay higher prices for clicks.
In our experience working with the largest global advertisers, we saw instances where brands were paying double a competitor's cost because their site was penalized by low scores. Improving your Site Score is one of the most direct ways to lower that cost.
How Ad Auctions Work
Higher quality scores lower costs, regardless of bid
| Bid | Quality | Format | = | Rank | Cost | |
|---|---|---|---|---|---|---|
| Brand A | $2 | High | High | = | 20 | $2 |
| Brand B | $3 | High | Low | = | 18 | $3 |
| Brand C | $1 | Med | Med | = | 8 | $1 |
| Brand D | $4 | Low | None | = | 5 | $4 |
Conclusion
Sites that adapted for mobile devices a decade ago won. Now, that same shift is happening with agents. Scan your site free at point11.ai.
