Network visualization representing SAG search and AI architecture

SAG TECHNOLOGY FRONTIER

We do not follow the curve.
SAG builds what comes next.

We design how search, answers and generative AI understand brands, and explain the architecture behind SAG in clear technical terms.

SAG / ARCHITECTURE NOTES

Five principles behind SAG today

From discovery and evidence to data boundaries, reliable execution and delivery—see how each engineering choice works.

75 articles · 3 / 8

23

Fixed Competitor Baseline: How to Track Monthly Changes Alongside the Gap from the Baseline

A comparison method that fixes the first competitor data entered and tracks differences against the company’s monthly data. If the comparison target and questions change every month, it is difficult to distinguish improvements in the company’s performance from changes to the baseline. A consistent baseline helps keep work on track.

24

HTML Normalization: How to Make Pages Comparable Before Scoring

This process extracts titles, body text, links, and metadata signals from different HTML documents into a common structure. On sites with long menus and footers, repeated sentences may be captured more often than product descriptions. If structure is not distinguished, sentence counts can be misread as indicating that there is sufficient evidence about the product.

25

Annual Trends and Monthly Records: Supporting Different Decisions with the Same Numbers

A presentation structure that connects monthly metrics to annual trends and the evidence for individual months. Even if the long-term trend looks positive, it is difficult to decide what action to take without knowing what improvements and observations occurred in each month. The overall trend needs to be connected to detailed records.

28

HTML ZIP Analysis: Why Check the Source Before Crawling?

A collection method that reads a set of webpage HTML files through a restricted input path and turns them into documents needed for diagnosis. When a public site has changed or external access is restricted, it is difficult to verify previous source material using only the current page. An approved source bundle is the starting point for establishing what was analyzed.