Align
We clarify goals (audience, KPIs and scope) and sample the priority pages you care about.
© 2025 Group SJR | Privacy Policy | Modern Slavery Act Statement
Ensure your content is optimized for AI-driven discoverability
Establish your content as the authoritative source AI models cite, securing your reputation and driving high-quality referrals.
Public AI models like ChatGPT, Perplexity and Google are answering questions about your products and brand. An AI Content Audit helps ensure the answer comes from you.
What this audit helps you do
Improve discoverability
Make AI models cite the answers you want them to.
Impact the conversation
Ensure your brand is participating in conversations that are relevant to it.
Reduce misattribution
Stop AI from citing unofficial or incorrect sources.
Make pages citable
Create product pages and how-to's that models can safely reference.
Protect brand trust at scale
Reduce accuracy risk across large content volumes.
Boost business outcomes
Increase visibility across AI platforms, leading to improved conversion lift.
Features
Page scoring
Simple, actionable way to improve your content scores through Correctness, Concision, Accessibility and Simplicity.
Citation analysis and public-model benchmarking
Who gets cited for your topics today, and how to capture share back.
Ready-to-deploy fixes
Concrete implementations you can hand to engineering or content teams.
Technical signals
Schema, sitemaps, alt text and media transcripts: make your pages speak the machine language models read.
RAG (retrieval-augmented generation) pipeline review
Inspect how your retrieval systems use your content so answers come from the right sources.
Launch in as little as 6 weeks
Audit
Automated and manual tests across content, tech signals, RAG and public models.
Prioritize
A scored diagnosis that surfaces high-impact quick wins and mid-to-long-term fixes.
Implement
Implementation-ready tasks, a measurement plan, and optional support to execute.
Our Evaluation Criteria
Do you have the canonical answer?
Single, clear pages that own a question.
Do you start with the facts?
Answers should appear up front, not buried.
Is it machine-readable?
Technical signals should remove ambiguity for models.
Is it optimized for impact?
Favor fixes that improve citations, referral quality and conversions.
Use cases and who benefits
Our AI content audits are built for organizations that have published content likely to surface in query results. These may have implications for your brand’s public perceptions and reputation. We prioritize the fixes that protect brand trust, increase citation share and drive referral quality.
Editorial hubs
Improve discoverability and reduce misattribution for newsroom and branded content.
E-commerce catalogs
Make product pages easier for models to cite and drive higher-quality product referrals.
Product content / teams
Ensure product pages, specs, and how-tos are concise, citable and conversion-ready.
Enterprise brands
Protect brand trust at scale by reducing hallucination risk across large content volumes.
Regulated industries
Add governance and human review to avoid compliance and legal exposure.
Help centers and support docs
Reduce support load and improve accuracy in AI answers that cite troubleshooting guidance.
knowledge bases and developer docs
Make technical content discoverable and easy for models to surface as authoritative sources.
See how SJR helped a global automotive brand identify and fix gaps in its content for AI-driven search.
Download Case Studycontact an expert
Ready to unlock the full potential of your content? Contact our experts to get started.
