From 36 to 58/100: How We Improved nutriish.me's AI Visibility — and What We Learned

nutriish.me — Digital Nutrition Concierge for families and professionals

When we first scanned Nutriish, the score was 36/100. Not because the product is bad — it is a well-designed online nutrition concierge for families and professionals. The problem was purely technical: the site was structurally invisible to AI systems like ChatGPT, Claude, and Gemini.

This case study documents two phases of optimization, a live citation tracking run across 4 AI engines, and one honest failure. Every step is tracked live at aiauditscan.com/case-study/nutriish.

The Baseline: 36/100

The initial scan on February 22, 2026 revealed a site that was technically functional for human visitors but structurally invisible to LLMs. The homepage had 47 words, far below the minimum threshold for AI content extraction. There was no structured data of any kind, no robots.txt, and no canonical tag.

Phase 1: Technical Foundation (February 2026)

In a single session on February 23, 2026, we deployed five structural changes that moved the score from 36 to 57/100 — a 21-point gain without touching the visual design.

Phase 2: Authority and Content Signals (February — March 2026)

Following the initial session, we implemented a second wave of improvements targeting Publisher Signals and Entity Clarity — the two lowest-scoring pillars in the AEO breakdown.

The March 2026 Score: 58/100

The March 18, 2026 scan returned a global AEO Index of 58/100 — above the Nutrition & Wellness industry average of 32/100, but still 7 points below the top-quartile threshold of 65/100. The two critical gaps remaining are Publisher Signals (0/10) and Content Structure (3/25).

4-Engine Citation Tracking: 85% Overall

On March 18, 2026, we ran a full AI Citation Tracking run across 4 engines — 20 queries total, 5 per engine — using queries calibrated for a digital nutrition service (not a physical wellness clinic).

What Comes Next

The path to 65/100 and full Perplexity citation runs through three actions: earning coverage in at least two independent nutrition or wellness publications (prerequisite for Wikidata re-entry), publishing long-form content with question-based H2 headings to address the Content Structure gap, and activating a LinkedIn company page to add the final Publisher Signal.

The citation data confirms that ChatGPT and Claude are already reliably citing Nutriish on digital nutrition queries. The remaining opportunity is Perplexity — which requires off-site authority, not more on-site technical fixes.

What This Means for Your Site

nutriish.me is not an outlier. Based on our analysis of 5,609+ websites across 15 industries, the average AI readiness score is 38/100. Most sites that perform well in traditional search are still invisible to AI systems because they were never built for LLM extraction.

The fixes are not radical redesigns. They are structured additions that sit alongside your existing content without changing what your visitors see. A properly structured site can move from invisible to citable in days. The harder work — earning the off-site authority that source-based engines like Perplexity require — takes longer, but it starts with knowing exactly where you stand.

If you want to know where your site stands, run a free audit at aiauditscan.com. It takes 30 seconds and gives you a score with specific, actionable recommendations.