Basics & Fundamentals

What Mentionary measures

Citation frequency: How often AI assistants reference your brand, products, and claims within generated answers.
Accuracy & alignment: Whether those citations are correct, current, and on-brand (pricing, positioning, compliance).
Generative Share of Voice (GSoV): Your percentage of total citations versus competitors for a topic or intent.
Source authority: Which sources AI models rely on (your site, third-party reviews, forums) and how trustworthy they are.

Multi-engine runs across ChatGPT, Claude, Gemini, and Perplexity using buyer-like prompts.
Crawls of your owned content, sitemaps, and feeds to anchor ground truth.
External evidence capture from reviews, forums, and media that influence AI answers.
Change detection that highlights new citations, regressions, or hallucinations over time.

Structured evidence: Use schema, FAQs, and clear claims. AI assistants reward content that is easy to parse and verify.
Third-party proof: Encourage credible reviews and coverage. Generative models weigh independent sources heavily.
Consistency: Keep pricing, feature lists, and compliance statements aligned across owned and earned media.
Freshness: Update pages after launches and ship redirects thoughtfully. Outdated claims often drive hallucinations.
Comparisons: Publish honest comparisons and implementation guides. They often become canonical snippets in AI answers.

Run prompts weekly per topic to catch regressions early.
Tag every remediation with the issue type (missing citation, inaccuracy, positioning) to see what fixes work best.
Export logs for your BI tool to correlate AEO work with traffic, conversions, or support deflection.
Keep a changelog of site edits so you can tie content changes to shifts in AI visibility.