Disclaimer: This is a hypothetical example used to explain a GEO optimization workflow. It is not a customer case study and does not represent guaranteed results. The numbers are illustrative and should not be treated as expected outcomes.
This article shows how a B2B SaaS team might structure a 90-day AI visibility improvement program after discovering that answer engines can crawl the site but do not have enough clear, verifiable context to reuse it confidently.
Starting point
In this hypothetical scenario, the team has useful product pages, blog posts, and comparison content, but the site lacks an answer-ready product summary, consistent Organization and SoftwareApplication schema, visible FAQ answers, and clear trust/support pages.
90-day workflow
- Days 1-15: audit public HTML, metadata, headings, schema, crawlability, internal links, and support routes.
- Days 16-35: rewrite the homepage and product pages with concise who/what/for-whom summaries that answer engines can quote.
- Days 36-55: align Organization, SoftwareApplication, Product, FAQPage, BreadcrumbList, and sameAs schema with visible page content.
- Days 56-75: publish comparison pages, buyer questions, pricing clarity, support routes, and source-backed methodology notes.
- Days 76-90: rescan the same URLs, review issue movement, and prepare a weekly monitoring loop.
Illustrative metrics for planning only
A team might track a GEO readiness score, issue count, schema coverage, FAQ coverage, prompt test notes, and pages with clear evidence. These numbers are planning examples only; they are not expected outcomes and should not be presented as customer results.
| Signal | Before | After 90 days | How to verify |
|---|---|---|---|
| Answer-ready summaries | Missing or vague | Present on priority pages | Review visible HTML near H1/H2 |
| Schema alignment | Partial | Mapped to visible content | Validate JSON-LD and page copy together |
| FAQ coverage | Thin | High-intent questions answered | Compare FAQPage schema with visible answers |
| Trust routes | Hard to find | About, contact, support, policies linked | Check nav, footer, and contextual links |
What this example illustrates
The workflow illustrates a possible structure for GEO improvements: make the entity clear, make evidence visible, align schema with the page, and rescan after changes. It does not prove that any website will receive a specific AI citation rate, traffic lift, or ranking change.
How to apply it safely
- Start with observable page evidence, not assumptions about private AI model behavior.
- Use only real customer proof, review data, logos, and performance claims when you have permission and source data.
- Keep Googlebot, Google-Extended, GPTBot, PerplexityBot, and other crawler controls technically accurate.
- Track weekly changes after fixes instead of treating one scan as a permanent truth.
To see what this looks like on your own public pages, run the free Openbyt scan and review the top GEO and SEO issues before saving the project for monitoring.