· AI-SEO· GEO· Case Study

We Are Our Own Case Study: Documenting Raptor’s AI-SEO Journey

A public log of how we apply our own AI-SEO methodology to raptorai.dev: baseline metrics, weekly experiments, and what actually moves the needle in LLM visibility.

Most agencies sell AI-SEO without ever showing it work. We are taking the opposite approach. Raptor AI is going to apply our own methodology to raptorai.dev in public. Every experiment, every result, every miss, so prospective clients can judge the work before they hire us.

Why we are doing this in public

New agencies hit a chicken-and-egg problem: you need case studies to win clients, but you need clients to build case studies. The substitute proof that actually compounds is to be your own case study. If our methodology works on a four-page agency site with zero domain authority, it will work on yours.

Baseline (Day 0, 2026-05-06)

Honest starting point, recorded so we cannot revise it later:

  • Indexable pages: 4 (/, /seo-for-ai, /privacy, /terms)
  • Google Search Console: not yet verified
  • Bing Webmaster Tools: not yet verified
  • Backlinks (rough): minimal
  • LLM brand mentions: unmeasured, need to establish baseline this week
  • Schema in place: Organization. A prior generic SoftwareApplication declaration wrongly described the agency as a free software product and was removed later. Tool schema now belongs only on actual tools.

The methodology we are testing

Three pillars, applied in order. Each gets its own pillar post over the next four weeks.

  1. Trust signals (E-E-A-T). Named authors with Person schema, real bios, public artifacts. LLMs cite authors more readily than anonymous content.
  2. Topical authority. A pillar/cluster model around AI-SEO and GEO: pillar posts deep, supporting posts narrow, every internal link pointing back to the canonical hub at /seo-for-ai.
  3. AI-structured content. Question-led headings, direct answers in the first paragraph, FAQ blocks with FAQPage schema, Article schema on every post, citation-friendly formatting (lists, definitions, claims with sources).

What we are publishing in the next four weeks

  • How to optimize for ChatGPT search
  • Measuring brand visibility in LLMs (with a free tool)
  • GEO vs SEO: what is actually different
  • Schema patterns LLMs actually consume
  • A teardown of a recognizable brand’s AI visibility

How we will report

This post is updated weekly. New rows added to the metrics table below. No metric removed once published. Wins and losses both stay on the page.

Weekly log

Week 0 (2026-05-06): baseline recorded above. Schema and on-page SEO setup shipped.

Week 4 (2026-06-08), first traffic baseline. Vercel Analytics, trailing 30 days. These are small numbers, and we are publishing them anyway. That is the entire point.

  • Visitors: 53 · Page views: 137 (trailing 30 days)
  • Top pages: / (41), /tools/ai-brand-check (15), /insights (11), /seo-for-ai (10)
  • Where visitors come from: X, Facebook, Instagram, Google, Bing
  • Referrals from AI surfaces (ChatGPT, Perplexity, AI Overviews): zero, so far. For an AEO case study that is not a failure. It is the number we exist to move. Watch this line.
  • Audience skew: Mexico 43%, US 21%, Germany 13%. The bilingual, cross-border footprint we build for.

Week 5 (2026-06-09), Semrush AI-search cleanup. We used the audit warnings as a forcing function, but not as the strategy. The fixes shipped around authority, crawlability, and page usefulness instead of adding empty text.

  • Added /llms.txt as a concise AI-readable map of Raptor AI, core services, and the most important source pages.
  • Expanded /, /insights, and /tools/ai-brand-check so each page explains its role in AI rankings, audits, AI-ready sites, consulting, and training.
  • Replaced generic anchor text with destination-specific links and added /consulting to the sitemap.
  • Added structured data for the home service, insights collection, AI Brand Check tool, global organization, and website entity.

Week 6 (2026-06-15), trailing-30 snapshot. Same measurement window as Week 4, shifted one week forward. Directional growth, not a clean delta: these windows overlap by roughly 23 days.

  • Visitors: 59 · Page views: 219 (trailing 30 days)
  • Top pages: / (48), /tools/ai-brand-check (12), /insights (11), /seo-for-ai (10), /consulting (6)
  • New in top pages: /for/lawyers (3) and /for/real-estate (3), the vertical pages are now indexed and getting visits.
  • Referrers: t.co (5), Instagram (4), WhatsApp (3), Facebook (2), Google (2), Bing (1)
  • Referrals from AI surfaces (ChatGPT, Perplexity, AI Overviews): zero, again. Six weeks in. That line is still the one we exist to move.
  • Audience skew: Mexico 53%, US 12%, Germany 10%.

No metric removed once published. AI-referral line remains zero, the number this whole experiment is built to move.

Want this run on your brand?

We are taking on a small number of brands as the first paid case studies for the same methodology. Contact Raptor AI about an AI visibility audit and tell us what you sell. If you want to see how AI describes your brand right now, run our free check first.