Content Creation & AEO
LLM-optimised articles produced by the AI Coworker — with grounding, source citations, and team review steps as part of the workflow, then published directly to WordPress.
The challenge
Does your content rank on Google but get ignored by AI?
You've invested in SEO and your pages rank well in traditional search. But when someone asks an AI assistant about your topic, your content is never cited. AI surfaces select sources differently than Google — most SEO content isn't structured for LLM citation.
Does your team have bandwidth for AEO content production?
Your content team knows how to write for Google — keywords, headers, backlinks. Adding AEO-optimised content (structural patterns, factual density, the formatting LLMs favour) means another full-time workload your team can't easily take on.
Are AI surfaces citing the wrong things about your brand?
Without grounded, sourced content under your control, AI surfaces stitch together what they find on the web — sometimes misinformation, sometimes competitor positioning. You need authoritative content the coworker can publish and AI can cite.
How it works
Research AI-cited topics
The AI Coworker analyses which topics in your category are frequently answered by AI surfaces and where citation gaps exist — topics where no strong source is being cited.
Produce LLM-optimised articles
The coworker generates evidence-based articles with grounding, source citations, and the structural patterns AI surfaces extract — built for direct citation, not just SEO.
Review with your team
Drafts are surfaced for human-in-the-loop review before publication — accuracy, brand voice, and any sector-specific check that matters in your vertical.
Publish directly to WordPress
Approved content publishes directly to your WordPress site with structured data and schema markup. The team reviews outcomes; the coworker handles the production loop.
Powerful visibility tools
Everything you need to master the shift from traditional search engines to AI-driven discovery.
Coworker-produced articles
Long-form, LLM-optimised articles produced by the coworker with grounding, source citations, and the structural patterns AI surfaces extract.
Topic research from citation gaps
The coworker finds prompts in your category where no strong source is being cited and writes for those gaps first — highest-leverage content slots.
Brand and product context
Upload brand guidelines, product docs, and existing content; the coworker uses them to keep generated work brand-specific and accurate.
Direct WordPress publishing
Approved articles publish straight to WordPress with metadata, schema, and formatting handled by the coworker — no copy-paste step.
Optimised meta and answer snippets
Meta descriptions and answer-ready snippets generated for each piece — built for both SERP snippets and AI citation.
Internal link planning
The coworker suggests internal links that strengthen topical authority and help AI surfaces understand the content relationships across your site.
Trusted by brands growing their AI visibility
“PingAura completely changed how we think about SEO. We're now optimizing for how AI reads us, and our share of voice in ChatGPT recommendations has tripled in 2 months.”
Elleven Media
Creative Agency
Ready to grow your AI visibility?
PingAura helps you monitor citations, track share of voice, and optimize for AI search engines like ChatGPT, Perplexity, and Gemini.
No credit card required