How We Improved a Brand's AI Visibility from 0% to 46% in 90 Days

When a B2B SaaS company launches a new product, they typically invest in SEO, paid ads, and content marketing to build visibility. What almost no company invests in at launch is AI visibility — and that is increasingly where their buyers are looking first.

This is the story of how we took one such company from zero percent AI visibility on their launch day to 46 percent across relevant queries in 90 days — using the Orbiniti AIR-53 framework.

(Client name withheld under confidentiality agreement.)

On their launch day, we ran an initial AIR-53 audit. The results were typical for a new brand:

• AIR Score: 31/100 — F grade
• Visibility Rate: 0% — completely invisible across all 4 AI engines
• Citation Rate: 0%
• Hallucination Rate: 12% — AI engines were generating incorrect information when prompted directly

When we tested OPQ-150 queries across ChatGPT, Gemini, Perplexity, and Claude, competitors were recommended on nearly every query. The client did not appear once.

Fix 1 — Robots.txt AI Crawler Access Their robots.txt was blocking GPTBot and other AI crawlers. We updated it to explicitly allow all major AI crawlers. This was the single highest-impact fix — without it, nothing else matters.

Fix 2 — LLMs.txt Creation We created a LLMs.txt file at the root of their domain giving AI engines a clear, structured description of the brand, its services, target customers, and key pages.

Fix 3 — Organization and FAQ Schema Markup We added Organization JSON-LD schema to the homepage and FAQ schema to their FAQ page. This gave AI engines structured data to definitively understand what the brand does.

Fix 4 — Answer-First Content Restructuring We rewrote their homepage and key service pages to lead with direct answers. Instead of starting with brand story, pages now opened with: what they do, who they serve, and what result they deliver.

Fix 5 — FAQ Content Development We added 25 FAQ questions and answers covering buyer journey stages — from category discovery to competitive comparison to trust validation. These FAQs are structured exactly as AI engines need to cite them.

Fix 6 — Author Bios With Credentials We added detailed author bios with credentials to all content contributors. AI engines use author expertise as a trust signal for content citation.

Fix 7 — 3 Media Mentions We secured 3 placements in relevant industry publications within the first 60 days. Third-party citations from trusted sources are one of the strongest authority signals AI engines respond to.

After 90 days of implementing these fixes:

• AIR Score: 74/100 — C grade (improving to B target by month 4)
• Visibility Rate: 46% — nearly half of all relevant queries now include this brand
• Citation Rate: 23%
• Hallucination Rate: 2% — down from 12%

The technical fixes (Fixes 1-3) showed results within the first 30 days as AI engines re-crawled the website. The content fixes (Fixes 4-5) showed results between days 30-60. The authority fixes (Fixes 6-7) began showing results after day 60 and continue to compound.

The order matters. Technical fixes come first — if AI crawlers cannot access your website, content and authority improvements have zero impact. Content structure comes second. Authority building comes third and compounds the longest.

Every fix was specific to what the AIR-53 audit identified as a gap. There was no guesswork. Every action was ranked by impact and implemented in the order that produced the fastest measurable improvement.

If you want to see where your brand stands across the same 53 checkpoints, start with a free AIR-53 audit at app.orbiniti.ai.