Answers · Google & AI · 8 questions
Updated 25 Oct 2026 · Reviewed by Mohammad Shakir, Co-founder & CEO
AI assistants now answer the questions your buyers used to type into search - and the answer often decides the shortlist. These answers cover monitoring your brand's presence in AI answers and the new discipline of answer engine optimization.
It is tracking what AI assistants - Gemini, ChatGPT, Perplexity and others - say when users ask about your brand, products or category: whether you are mentioned, what is claimed, and which sources the answer leans on.
It is the AI-era version of rank tracking - answers are the new results page.
A growing share of research questions get answered by an assistant instead of a results page, and the user often never clicks through. If the answer describes you wrongly, or omits you, you lose the shopper without knowing it.
Unlike a search ranking, you cannot see your AI presence by glancing at a results page - it has to be asked for, systematically.
Define the question set your buyers actually ask - category comparisons, "best X for Y", brand-specific questions - run them against each assistant on a schedule, and record the answers.
One-off spot checks mislead because answers vary; a stable question set, asked regularly, gives you a trend you can act on.
Whether your brand appears, the position and framing of the mention, factual accuracy of claims about you, which competitors appear, and which sources the answer cites.
Cited sources are the actionable part - they tell you which pages are shaping the answers, and therefore where corrections and content effort pay off.
Continuously - answers vary between runs, and shift as models update and as the underlying sources change. Treat results statistically: track mention rates over many runs, not single answers.
A weekly cadence with repeated runs per question is a practical starting point.
Answer engine optimization is making your content the material AI assistants draw on and cite, where SEO targets ranking in search results. They overlap - clear, structured, factual content serves both - but the measurement differs.
SEO is measured in rankings and clicks; AEO in mentions, accuracy and citations inside answers.
Publish clear, factual, well-structured content about what you do, keep key facts consistent across your site and profiles, use structured data, and provide a summary for AI crawlers such as an llms.txt file. Then monitor whether answers improve.
There is no submission form for AI answers - the lever is the quality and consistency of what the models can read about you.
Yes: a fixed question set run against each assistant on a schedule, answers stored, mentions and sentiment extracted, and changes alerted - the same pipeline shape as rank tracking.
Automation is what makes the statistics meaningful, because single manual checks can't separate variance from real change.
ScrapeGuys builds and operates production scraping APIs that return clean, structured JSON - and takes custom targets live in 48-72 hours.