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: June 6, 2026.
What Radar Caught: AI Hallucinations About Pixelmojo
Radar found 12 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 severityChatGPTdescription
What ChatGPT is telling buyers: Pixelmojo is a company that specializes in providing digital marketing services, particularly focusing on social media marketing, content creation, and branding solutions.
What is actually true: Pixelmojo provides AI products that users own, focusing on lead qualification, AI co-workers, and AI visibility.
high severityChatGPTlocation
What ChatGPT is telling buyers: Pixelmojo is located in the United States.
What is actually true: Pixelmojo is headquartered in Makati, Metro Manila.
medium severityChatGPTother
What ChatGPT is telling buyers: Pixelmojo was founded in 2016.
What is actually true: The founding year is not specified in the provided verified facts.
high severityChatGPTpricing
What ChatGPT is telling buyers: Pricing plans for services like those offered by Pixelmojo can vary widely based on the specific services required.
What is actually true: Pricing includes Audit packs from $5 and Pro Retainer $199/mo.
low severityPerplexitydescription
What Perplexity is telling buyers: Pixelmojo is an AI product studio that builds production AI systems for B2B companies.
What is actually true: Pixelmojo provides AI products that users own, focusing on lead qualification, AI co-workers, and AI visibility.
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.
AI Bot Crawl
98A
AI Readiness
98A
llms.txt
95A
robots.txt
86A
Schema Audit
86A
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: 55/100 (C). 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.
Tool
Score
Grade
AI Bot Crawl
98
A
AI Readiness
98
A
llms.txt
95
A
robots.txt
86
A
Schema Audit
86
A
AEO
72
B
Reddit Mentions
60
C
Citation Tracking
52
D
Source Influence
39
D
Answer Engine
31
F
Prompt SOV
0
F
Hallucination Check
0
F
brandDisambiguation
0
F
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
Perplexity50%
Cited in 2 of 4 brand queries
Claude0%
Cited in 0 of 4 brand queries
Gemini0%
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.
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