Answers
Straight answers about AI search visibility
Definition-first explainers for revenue teams figuring out answer engine optimization. Each one leads with the answer, then shows the working.
Explainers
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What is answer engine optimization (AEO)?
Answer engine optimization (AEO) is the practice of getting your brand cited inside ChatGPT, Perplexity, Claude, and AI Overviews. Definition, workflow, and metrics.
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AEO vs SEO: what is the difference?
AEO wins citations inside AI answers; SEO wins ranked links. Compare units of measurement, content structure, reporting, and how to split budget between them.
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How do you track AI visibility for your brand?
Track AI visibility with a fixed prompt battery, scheduled runs across every engine, and share-of-voice trending joined to CRM pipeline. Step-by-step method.
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How do you choose an AI visibility tool?
What an AI visibility tool should do: multi-engine prompt batteries, prominence and sentiment scoring, CRM attribution, and exportable reporting. Buyer checklist.
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What are the best AEO tools in 2026?
A working comparison of AEO tools in 2026 — Profound, Peec AI, Otterly, Evertune, and Attribufi — across engine coverage, prompt control, attribution, and price.
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AEO services vs AEO software: which do you need?
AEO services sell execution; AEO software sells measurement. Compare cost, speed, and outcomes, and see which combination fits your team size and content capacity.
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What does AEO mean?
AEO means answer engine optimization. Plain-English definitions of AEO, GEO, LLMO, share of voice, prompt battery, prominence, grounding, and AI Overviews.
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What are the best free AI search graders?
Free AI visibility graders compared: what each one measures, which engines it queries, what you get back, and where the free tier stops being useful.
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How do AI assistants choose which brands to recommend?
How ChatGPT, Perplexity, Claude and Gemini decide which brands appear in a recommendation: retrieval, source authority, entity clarity, consensus, and freshness.
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