How To Get Your Brand Recommended By AI Assistants

This variability is the main practical trap. Testing without web access and concluding you are invisible measures the training corpus rather than current retrieval, and the two can disagree sharply. Record which mode you used with every run.

Run the Baseline Properly Run each prompt in a signed out session, or in a fresh session with memory and personalisation disabled. Your own browsing history and past conversations will otherwise skew results toward showing you what you already know.

Read the Source List Before Anything Else Sort the cited domains by frequency. In most categories a handful of pages account for a large share of citations, and they are rarely brand sites. Review platforms, industry directories, a couple of forum threads and one or two comparison articles usually dominate.

Watch the quality of enquiries as well as the count. A common early signal is that conversations start further along, with the prospect already aware of your price band, your typical timeline and what you do not do, because a machine told them before they arrived. That shows up in sales cycle length and in fewer wasted calls long before it shows up in any dashboard.

Ask specifically who checks factual accuracy before publication and what happens when the writer does not know the answer. A process that has no step for asking you is a process that will eventually publish something untrue about your business.

Ahrefs found in July 2025, across 15,000 long-tail prompts and four assistants, that around 80 percent of cited pages did not rank for the original query at all. If citation and ranking were the same thing, that number would be close to zero. ai overviews optimization

Ask to See Their Own Position This one is unfair and revealing. Ask an assistant to recommend an agency for this kind of work, using a prompt a buyer would write, and see whether the company sitting in front of you appears.

Track three things over time: how often you are named, which sources get cited when you are, and which competitors appear alongside you. Movement in the second of those usually predicts movement in the first.

Start by Finding Out Where You Stand Before changing anything, establish what assistants currently say. Write out the questions a buyer would actually ask, in their words rather than yours. Include the category question, the problem question, the comparison question and the question that names your competitors directly.

Write between fifty and two hundred prompts covering five types: the category question, the problem question, the comparison question, the question that names a competitor, and the question that names you directly. The last one matters because it reveals what an assistant believes about you specifically, which is often more alarming than being absent.

It cuts both ways. Stale pages with outdated figures get passed over in favour of current ones, and a competitor can displace you by updating a page you have left alone for two years. Dating your content and keeping figures current is a lightweight habit with an outsized effect here.

This is a working method you can run yourself in an afternoon, repeat monthly, and hand to an agency as a brief. It produces a record you can argue with, which is more than most reporting in this field manages. ai overviews optimization

Make Sure the Crawlers Can Actually Read You A surprising number of brands are invisible for the dullest possible reason. Their robots.txt blocks the crawlers that feed AI systems, or their content only appears after JavaScript executes, or their key pages sit behind a form.

Run each one across the assistants your customers use, and write down the answers verbatim. Do this from a signed out session so your own history does not colour the result. What you want at the end is a simple table: which prompts named you, which named competitors, and which sources got cited.

What It Is Doing Under the Hood Simplified, the sequence runs like this. Your question is rewritten into one or more search queries. Results come back. A subset of pages is fetched and read. The model composes an answer from what it read and attaches citations to the specific claims it lifted.

Run each prompt at least three times. Assistants vary their answers between runs, and a single result is a sample rather than a finding. Record the full text of each answer and every source cited, not a summary.

Gemini and Google Surfaces Closest to conventional search infrastructure, which has a practical consequence: work that improves your standing in Google search tends to carry over here more than it does elsewhere.

You will find your own category's pattern, which frequently contradicts the general one. Some industries are dominated by a single trade directory. Others are dominated by one forum. That specific finding is worth more than any general description of how these systems behave.

Visibility in this channel is not a number you can look up. There is no console that reports how often an assistant named your company last month, and the tools that claim to supply one are sampling rather than counting. That does not make measurement impossible. It makes it manual, and manual is fine as long as you are honest about what you are measuring.