AI and search research # A zero-click AEO scorecard your team can run every month A zero-click AEO scorecard is a short monthly review of how AI answers name and describe your brand when shoppers never click through. Ask a fixed set of category questions, save the dated answers, and record a few rows each month, such as whether you are named, how you are described, and which sources appear. ![](https://rewalto.com/_next/image?url=%2Fbrand%2Fog%2Fguides-zero-click-aeo-scorecard.png&w=3840&q=75) In this guide 1. [What zero-click means for a brand](#what-zero-click) 2. [Design rules before any metric](#design) 3. [The measures worth tracking](#measures) 4. [Running the review](#running) 5. [Common pitfalls](#pitfalls) 6. [Start with a small question panel](#rewalto) 7. [A layout that keeps the review short](#layout) 8. [Common questions](#questions) [Ask Finder](https://rewalto.com/finder) By [Varun Mahajan](https://rewalto.com/about), FounderPublished 24 September 2026Last updated 18 October 2026Part of the [ai visibility](https://rewalto.com/guides/ai-visibility-check) guide ## What zero-click means for a brand For years brands measured search success by clicks: impressions, visits, conversions. That still matters, but a growing share of shopper questions end before a click. A search page may show a summary. An AI assistant may name three products and their strengths. The shopper reads it and decides, or moves straight to a shopping app to buy. For a brand this creates a blind spot. Your website analytics show nothing about a shopper who never visited. Yet the answer they saw shaped which brands they considered. Answer engine optimisation, usually shortened to AEO, is the practice of making your brand easier for those answers to name and describe correctly. AEO is not a switch you flip, and no one can guarantee a mention. It is closer to housekeeping: clear pages, consistent facts, and regular checks on what the answers say. A scorecard gives that housekeeping a rhythm, and it turns a vague worry about AI search into a short list of checks your team can repeat every month. ## Design rules before any metric A scorecard is only as good as its method, so fix the method first. Write a panel of shopper questions in the wording real shoppers use, including plenty that do not contain your brand name. Keep the panel the same from month to month, or you will measure the change in the panel rather than the change in the answers. Decide which assistant or search summary you are reading and say so in the scorecard. Ask each question more than once, since answers vary. Save each answer word for word with its date. Then choose a small number of measures. A scorecard with forty rows will not be read. Six well-defined rows will. ## The measures worth tracking These are the rows we would put on the first version. Each can be counted from saved answers, and none needs a hidden model. - Named: in what share of the answers to your unbranded questions does your brand appear, next to the same figure for two or three rivals. See the guide on [share of AI](https://rewalto.com/guides/share-of-ai). - Described correctly: when you are named, is the description accurate about the product, its use and its audience? Count the answers with a wrong or outdated claim. - Position in the answer: are you named first, among several, or as an afterthought? Record the order, not a score. - Sources shown: which pages appear alongside the answer, and are any of them yours? See [which sources AI assistants cite](https://rewalto.com/guides/ai-cited-sources). - Stability: does the answer stay the same across repeated askings, or does your brand come and go? - Landing: when the answer leads to a purchase, is the product available? Cross-check with your shelf readings. ## Running the review Once a month, ask the panel, save the answers and fill in the rows. Keep the previous month's answers in the same folder so a colleague can open both. Write two or three sentences about what changed and one about what you think it means, labelling the last as interpretation. Then list up to three actions: a product page to make clearer, a fact to correct, a page to check for accuracy. Avoid the temptation to turn the rows into one grade. A single number hides which part moved and invites arguments about weighting. It is better to show the rows, the dates and the saved answers. When a row moves, resist the story that your last change caused it. Assistants change between months, and a shift can come from the assistant rather than from you. What you can show is what the answers said on each date and what you changed in between. Step 1 Ask the fixed panel The same shopper questions, asked of the same assistants. Step 2 Save every answer In full, with the assistant's name and the date. Step 3 Note what was said Whether your brand was named, how it was described, and any source cited. Step 4 Compare month to month A pattern across months means something; one month is a snapshot. The repeatable cycle behind a monthly scorecard, in order. ## Common pitfalls Three mistakes appear again and again. Using a panel made only of branded questions, which will always name you. Reading one asking as the truth when the answer changes from run to run. And quoting a figure without its panel and dates, which makes it impossible for anyone to check. A further one is specific to India. Shoppers ask in English, Hindi and mixed forms of both. If your customers do, include some questions in those forms, and say in the scorecard which languages the panel covered. A panel written only in English tells you how assistants answer English speakers, and nothing more than that. ## Start with a small question panel Run a small question panel by hand first. Save each answer, the brands named, any cited pages and how the answer was captured. When you repeat the panel, keep the questions and recording method consistent so the comparison remains useful. Check website readiness separately: whether crawlers can access your pages and whether product details are clear and structured. A technical improvement is worth recording, but it is not evidence that an assistant’s answer improved. For the availability side of the last row, see the guide on [stockouts and AI visibility](https://rewalto.com/guides/stockouts-vs-ai-visibility). ## A layout that keeps the review short A scorecard that takes an afternoon to read will be skipped. Aim for a single page that a busy category head can absorb in a few minutes, with the saved answers a click away for anyone who wants to check. Put the panel details at the top: the assistant, the number of questions, the number of askings and the dates. Below that, one row per measure, with your brand's result and the same result for the rivals you chose. Beside each row, one short line on what changed since last month. At the bottom, the three actions, each with an owner and a date. Use plain words for each row, not scores. Named in most answers, named in some, rarely named, or not named are readable labels. Where you do count, show the counts and the panel size next to the words. Store each month's scorecard and its saved answers together. After a quarter you will have something more valuable than any single review: a record of how the answers moved while you changed pages, corrected listings and ran campaigns. That record is what lets you say which changes were followed by movement and which were not, without claiming more than the timeline supports. If the scorecard feeds a wider report, keep its findings labelled as observations of assistant answers. It should sit beside, not inside, your sales and traffic figures, since the two measure different things and combining them would blur both. Before comparing two runs, check whether the questions, assistant settings or recording method changed. If they did, label the break in the series and keep both versions. Save the full answer as well as your score, so a colleague can review a disputed result. A score without the answer behind it makes a small wording change look more certain than the evidence allows. ## Common questions ### What is zero-click search? A search or assistant interaction where the shopper gets the answer without clicking through to a website. ### What does AEO mean? Answer engine optimisation: making your brand easier for AI answers and search summaries to name and describe accurately. It carries no guarantee of a mention. ### Why not combine the rows into one score? One number hides which part moved. Showing the rows with their dates and saved answers is easier to check and to act on. ### Which assistant does Rewalto read? AI visibility covers five engines: ChatGPT, Claude, Grok, Perplexity and Google AI. Every answer says which engine produced it and how it was captured. Each answer records how it was captured. ## Start with the question you need to answer Check the current data catalogue, then review the coverage and dates against your question. The research in an older guide does not establish that a service is available today. [Explore Rewalto data](https://rewalto.com/)[Explore current data](https://rewalto.com/data) ## Related from the blog [From the blog ### Zero-click search in India: why sessions are no longer the whole scorecard Zane Marketing's August 2026 case that sessions alone are an unfair scorecard, the four lines it suggests, and the second record most scorecards still miss. Explore](https://rewalto.com/blog/zero-click-search-india) ## Related guides [AI and search research ### Share of AI vs share of search: two measures, two questions How to measure how often assistants name your brand, and how that differs from search demand. Explore](https://rewalto.com/guides/share-of-ai) [AI and search research ### Which sources AI assistants cite, and how to find yours Why there is no universal list of cited sources, and a method to find the ones behind your brand's answers. Explore](https://rewalto.com/guides/ai-cited-sources) [AI and search research ### Stockouts and AI visibility: what is known and what is not Whether out-of-stock products are named less by assistants, and how to look at both together. Explore](https://rewalto.com/guides/stockouts-vs-ai-visibility) --- Canonical page: https://rewalto.com/guides/zero-click-aeo-scorecard Last content change: 2026-10-18