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Self-Audit / Updated weekly

We dogfood Radar. Here’s what it caught.

Every week, Radar runs against pixelmojo.io. The findings below are published verbatim from the latest audit, including the parts that do not flatter us.

If a methodology cannot survive its own scrutiny, it is not a methodology worth selling. Latest run: August 30, 2026.

What Radar Caught: AI Hallucinations About Pixelmojo

Radar found 2 factual errors in what AI providers are currently telling buyers about Pixelmojo. These are not screenshots from a research paper. They are live, in production, in front of every buyer asking AI about our brand right now. Quoted verbatim from the audit.

high severityGeminipricing

What Gemini is telling buyers: Pixelmojo offers a variety of pricing structures, including one-time project fees, monthly subscriptions, and performance-based pricing.

What is actually true: Visibility From $4,500; Product From $4,995; Brand From $1,995; Growth From $2,995/mo

high severityGeminipricing

What Gemini is telling buyers: The first check is free, with full audits available for $5.

What is actually true: Visibility From $4,500; Product From $4,995; Brand From $1,995; Growth From $2,995/mo

This is the value proposition. Most AI visibility tools track whether you are mentioned. Radar tracks whether what is said is accurate, then surfaces the corrections you need to make.

What is working

5 of 13 tools score grade A. Technical readiness across the AI infrastructure layer is solid.

AEO
100A
AI Readiness
100A
AI Bot Crawl
98A
llms.txt
95A
Schema Audit
95A

What we are fixing this week

Three actions, sequenced by impact. The audit re-runs next week and the changes show up here.

1Publish a canonical “What is Pixelmojo” page

Correct product names, real pricing, accurate positioning. The hallucinations above exist because the canonical answer does not. Once it does, AI providers extract from it.

2Investigate the Claude gap

Three of four LLMs cite Pixelmojo at least once. Claude does not. Different LLMs weight different signals. Worth the dig.

3Add SpeakableSchema, ordered lists, and tables to the homepage

Explicit, addressable line items in the AEO subscore. Not strategic problems, just unfinished work.

The honest score

Overall AI Readiness: 76/100 (B). Middle of the pack, which is honest. Strong technical foundations, hallucination problems to fix, AEO work in progress.

We could publish a higher number by tuning the audit category or the query set. We do not. The audit runs with the same configuration we run for paying customers, and the result lands here unedited. If the score moves next week, you will see it move.

Full per-tool breakdown

All 13 tools sorted by score. See the methodology for what each tool measures and how scores are calculated.

ToolScoreGrade
AEO100A
AI Readiness100A
AI Bot Crawl98A
llms.txt95A
Schema Audit95A
robots.txt82B
brandDisambiguation80B
Answer Engine70B
Reddit Mentions70B
Hallucination Check60C
Citation Tracking45D
Prompt SOV14F

Per-LLM Citation Coverage

How often each provider mentioned Pixelmojo across the audit’s brand-related queries. The gaps below are the specific items we are working on.

ChatGPT0%

Cited in 0 of 4 brand queries

Perplexity75%

Cited in 3 of 4 brand queries

Claude0%

Cited in 0 of 4 brand queries

Gemini25%

Cited in 1 of 4 brand queries

grok-4.30%

Cited in 0 of 4 brand queries

Why we publish this

Brand Index audits 50 named brands publicly with the same Radar methodology. This page applies that transparency to Pixelmojo. Publishing only flattering numbers would invalidate the methodology. Publishing what it actually finds is the proof.

What you see is the audit data with light interpretation. The same JSON lives in radar_audit_runs for every customer audit, gated to that customer.

Want this report for your brand?

Same methodology, your domain. Free check scores 6 of 13 tools in 60 seconds.