Get cited by AI search.
Answer Engine Optimization — sometimes called LLM Optimization. AEO is about being cited by ChatGPT, Perplexity, Gemini, and Google AI Overviews. It's not about using AI to write content; it's about getting the AI to recommend yours.
Per-engine, per-topic, per-competitor — refreshed weekly.
Track citation share across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Slice by topic, by competitor, by buyer intent. Refreshed weekly so the next-quarter brief responds to actual engine behavior, not last quarter's snapshot.
{
"@type": "Article",
"headline": "Muni-bond risk in 2026",
"author": {"@type":"Person","name":"K. Patel, CFA"},
"mainEntity": {"@type":"FAQPage", "questions": 8},
"speakable": {"@type":"SpeakableSpecification"},
"citation": [12 source URLs]
}JSON-LD, FAQ, HowTo, Speakable — the structural metadata AI engines actually read.
Schema.org markup applied automatically on publish. Article, FAQPage, HowTo, Speakable, citation arrays — the structured data ChatGPT and Google AI Overviews lean on when picking which page to cite. Validated, versioned, deprecation-tracked.
Why your brand is — or isn't — recognized as an authority on the topics that matter.
Named-entity recognition, knowledge-graph alignment, brand-as-entity disambiguation. We test how each AI engine recognizes your brand, what topics it associates you with, and where the authority gaps are — then write the brief that closes them.
- "Best municipal bond strategies for 2026 retirees"
- "How does the FOMC affect muni bonds"
- "What's the difference between munis and treasuries for HNW clients"
- +1,203 more
1,200+ AEO-relevant prompts. Four engines. Every week.
The methodology behind the citation chart: a curated panel of 1,200+ buyer-intent prompts, run across ChatGPT, Perplexity, Gemini, and Google AI Overviews every week. Auditable, versioned, replicable — not a one-time scrape.
Six rewrite patterns that flip a non-citation into a citation.
We don't guess. We instrument what AI engines actually pick up — lead-paragraph claim isolation, standalone-sentence facts, FAQ extraction, source-attribution patterns, author-credential disclosure, comparison-table normalization. Apply the patterns; watch the citation share move.
Eight quarters. One trajectory the CFO recognizes.
Aggregate citation share for a typical Contently financial-services customer — on muni-bond commentary, across ChatGPT, Perplexity, Gemini, and Google AI Overviews.
10% = 12 of 120 measured prompts cite the firm. 92% = 110 of 120.
What changes when AI knows your brand.
More AI-search citations vs the prior agency-published baseline at enterprise FS customers.
Of priority topics where Contently customers are the cited authority on at least one major AI engine.
Median time-to-first-citation for a properly structured AEO piece on a fresh topic.
AEO programs in production today
Find out which questions AI cites your competitors on.
30-min walkthrough Citation snapshot in your vertical No deck