Answer engine optimization tools

Every tool in this category does some of two jobs. Measuring: asking the questions buyers ask across ChatGPT, Perplexity and Gemini, and counting who is named, how prominently, and which sources the answers cite. Acting: turning those counts into named pages, fix this one of yours, get onto that one of theirs. Most tools stop at the first job. When you compare vendors, the question is not who has the prettier score, it is who tells you what to do on Monday.

• How many answers is each number based on?
  The single most revealing question. Engines answer differently on different days, so one sample per query is an anecdote. Look for a stated n on every metric, and be suspicious of any tool that reports a percentage without one.
• Where does the data come from?
  Official engine APIs cost real money per answer; scraping is cheaper and against the terms of every engine. A vendor unwilling to say which they use has answered the question.
• Does it name the sources, not just the score?
  Assistants lean on third party pages, review sites, comparison articles, forums. A useful tool tells you which exact domains the answers cite in your category, and whether those pages mention you, because that list is where the work is.
• Does it end in something you can do?
  The output that matters is a named page to fix or a named page to get onto, not a chart. If every insight still needs an analyst to translate it into a task, you are buying homework.
• What does empty data look like?
  A young category has thin data some weeks. An honest tool shows a dash and says the sample was too small; a dishonest one shows a zero, which is a different claim. You can tell a lot about a vendor from what they render when there is nothing to say.

These questions are not rhetorical, and they apply to us too. Aureo's answers: nine samples per query per week, three per engine, with the n printed beside every metric; official APIs only; the cited domains are a screen of their own; and an empty sample renders a dash, never a zero.

Before comparing vendors, learn whether assistants can read your site at all, because no tool can measure a brand the engines cannot retrieve. Our free check runs fifteen readability checks against your live domain, no account and no card, and every failing check comes with its fix. What a paid tool adds on top is the weekly measurement: the sample report shows exactly what that looks like.

AEO vs GEO vs SEO settles the vocabulary, and LLM SEO explains the retrieval mechanics these tools measure.

• What does an AEO tool actually do?
  Two jobs, and many tools only do the first. Measurement: ask the questions your buyers ask across ChatGPT, Perplexity and Gemini, repeatedly, and count who gets named and which sources get cited. Action: turn that into named pages to fix or get onto. A dashboard that stops at the score leaves the work of interpreting it to you.
• Why does sample size matter so much?
  Because assistants do not answer the same question the same way twice. A tool that asks once per week is reporting a coin flip as a trend. Ask how many answers each number rests on, and whether that n is shown next to the metric. If the vendor cannot answer, the number is decoration.
• Can I just check this manually?
  Once, yes: ask the assistants your five most important questions and note who they name. That is a useful afternoon and it costs nothing. What you cannot do manually is the repetition, the same questions, several times, every week, across engines, which is the part that turns anecdotes into a measurement.
• Do these tools work for languages other than English?
  Ask, because it varies. The engines answer in the language of the question, so a tool that only asks in English is measuring a market you may not sell to. If your buyers ask in German or Croatian, the tool should ask in German or Croatian.