Client Zero — AISearch Global
AI Visibility Audit Results
Audit date: 20 June 2026 · Audited by: AISearch Global (self-audit) · Industry: AEO & AI Search Consultancy · Tools: AI Brand Perception Audit + Cloudflare Analytics + PageSpeed + WebPageTest
Mission Control
Visibility Audit Dashboard
Ten instruments, one panel. Click any signal below for the full readout — only one stays open at a time.
Click any card above to see the full readout
Audit Overview
Visibility Scorecard
Four headline numbers. The structural score reflects technical and content AEO signals. The AI Perception scores reflect what each AI platform actually knows — and says — about the brand right now.
The Structural–Perception Gap
Technical AEO is in place. The gap is a temporal and citation problem — ChatGPT's training cut off August 2025 (before the site launched); Gemini's cut off January 2025. Perplexity has real-time access but the brand has minimal web citations yet. This gap closes as the brand accumulates citations, mentions, and structured entity data across the web. The signals are planted. The lag is normal. The trajectory is positive on all three platforms.
AI Platform Scores
Platform-by-Platform Perception
Each AI platform has a different knowledge cutoff, data source, and ranking algorithm. Results vary — and that variance is important signal.
What you're looking at: each dial shows that platform's score out of 100 — the further right the needle points, the stronger the brand's presence in that platform's answers. The tags underneath show how the AI categorises the brand (niche vs. established), the archetype it assigns, how confident it sounds, a 0–10 competitive market-fit score, and the current trend direction.
Brand Recognition
How Well Each AI Platform Knows the Brand
Brand Recognition measures depth of knowledge — not just whether the AI has heard of the brand, but how confidently and accurately it can describe it. Sub-scores are rated out of 10.
Brand Positioning
Brand Archetype & Market Position
Beyond raw scores, each platform was asked to characterise the brand's market position and archetype. The consistency of the answer — even at low confidence — is itself a signal.
Why this matters
All three platforms independently converge on the same archetype — Innovator — and the same niche-brand positioning, despite very different confidence levels and data sources. That convergence is a stronger signal than any single score: it means the entity data and content are communicating a consistent identity, even where mention depth is still thin. Confidence rises as citation volume grows — Perplexity's real-time access already tracks above its training-cutoff peers.
Sentiment Analysis
How AI Platforms Feel About the Brand
Sentiment is scored across four dimensions — General (overall tone), Contextual (relevance to AEO/AI-search topics), Source-Based (how credible the underlying citations are), and Polarization (divisive-framing risk). For the first three, higher is better. Polarization is a risk score, so lower (shown in amber) is better there. Gemini leads overall — likely because its training data includes positive industry framing from late 2024.
ChatGPT
Perplexity
Gemini
Competitive Share of Voice
Where the Brand Sits in AI Conversation
Share of Voice measures how often the brand is mentioned relative to competitors in AI responses about the category. A newly launched brand appearing in these datasets at all is a strong signal.
ChatGPT SOV
Perplexity SOV
Gemini SOV
AI Crawler Activity
Which AI Bots Are Indexing the Site
Crawler activity from Cloudflare analytics (30-day period). AI crawler requests increased +2,600% in this period. The site is being actively indexed by major AI platforms — this is a leading indicator of future perception improvement.
What you're looking at: each row on the left is a distinct bot, ranked by how many requests it made in 30 days. Rows highlighted in colour (PerplexityBot, ChatGPT-User, Claude-SearchBot, ClaudeBot, OAI-SearchBot, GPTBot) are AI platforms reading the site to power answers; grey rows (Googlebot, CCBot, BingBot) are traditional search/training crawlers. The donut on the right shows the same six AI bots as a share of total crawl volume.
Crawl Requests by Bot (30-day)
AI Crawler Split
Key Signal
AI crawlers account for 43 of 108 total requests — 40% of all crawler activity. This is significantly above average for a 1-month-old domain.
Technical Performance
Site Speed & Infrastructure
Site performance affects AI crawlability, indexation frequency, and user experience signals. Cloudflare CDN caching is underperforming — a key action item.
What you're looking at: TTFB (Time to First Byte) and LCP (Largest Contentful Paint) measure server and page response speed — lower is better. PageSpeed Mobile is Google's 0–100 mobile performance score. Cache Rate is the share of requests served from Cloudflare's edge instead of the origin server — higher is better, and AI crawlers benefit most from a high cache rate since it means faster, more reliable access.
AEO Score Journey
Structural AEO: 19 → 91 in 6 Weeks
This tracks the structural AEO score from domain registration to audit date — showing the impact of each implementation layer.
Structural AEO Score Over Time
Growth Roadmap
Priority Actions
Three action tracks in priority order. P1 has the most immediate impact on AI perception scores.
Build Web Citations & Mentions
The structural foundation is solid — the next bottleneck is third-party citation volume: mentions in industry publications, directories, and content that AI platforms use as training signals. Perplexity's real-time index access means new citations show up almost immediately.
AI Brand PresenceFix Cloudflare Cache Rate
Cache rate sits at 33%, well under the 70–85% target — so AI crawlers are hitting origin servers more often than they should: slower, costlier, less reliable. A cache header and page-rule fix resolves this in days, not weeks.
Technical AEOContent Expansion for Citation Depth
Perplexity already shows 142 mentions — the highest of any platform — thanks to real-time access. Expanding structured content with statistics, quotes, and cite-worthy data points deepens source quality and mention-depth scores across the board.
Content RestructuringThis Is What Your Audit Looks Like
Every AISearch Global AI Visibility Audit delivers a dashboard like this — built from your real data, with a clear priority roadmap. Starting at $1,500 AUD.
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