# ModelBreeder.com v2.8.0 SEO/AEO/GEO Implementation Notes

## Purpose

This report records the v2.8.0 search, answer, and generative visibility round. The goal was to apply SEO, AEO, and GEO practices to ModelBreeder.com itself rather than publishing copied guidance or thin pages about external advice.

## Applied strategy

- Keep the site human-first, positive, constructive, and source-backed.
- Improve answer-first sections on core pages.
- Add a target-site SEO/AEO/GEO evidence route.
- Add a public entity catalog and question route map.
- Generate source-evidence, internal-link, and audit JSON files.
- Improve JSON-LD so it mirrors visible page content and source panels.
- Fix robots.txt so public tool routes are crawlable while internal scripts remain blocked.
- Keep llms files advisory and avoid ranking promises.

## Pages added

- `/site-evidence/seo-aeo-geo-implementation`
- `/reference/entity-catalog`
- `/reference/question-and-answer-map`
- `/operations/search-visibility-review-loop`
- `/tools/seo-aeo-geo-audit`

## External guidance applied

Google Search guidance says SEO remains relevant for generative AI features and emphasizes unique, valuable, people-first content, crawlable pages, technical clarity, page experience, and avoiding AEO/GEO hacks. Google also states that structured data should describe visible page content, and that `llms.txt` is not required for Google visibility. Bing guidance emphasizes sitemaps referenced from `robots.txt` or submitted through Bing Webmaster Tools for AI-powered discovery.

## Positive-side editorial frame

The search visibility work supports ModelBreeder.com as the constructive side of the model-breeding idea: useful descendants, local sovereignty, frugal specialists, lineage, fitness evidence, and human-strengthening systems.