AI search visibility: how often AI answers name your brand, topic by topic
Moose runs the questions your buyers ask on ten AI answer engines and reads every answer. You get share of mentions and share of citations for your brand and your competitors, topic by topic, plus the list of questions where a competitor was named and you were not. Six of the ten engines are free to run, as often as you like.
Moose writes a summary of the answers he read.
Every time you change the period or a filter, he writes it again for the answers in that selection.
Every row opens into the prompts and pages behind it.
Open any brand to see the questions it was named for, and any domain to see the pages AI search systems cited.
Mention rate is measured by topic.
People word the same question many different ways, and the engines answer with their own history and personalization in play, so a single prompt tells you very little. A topic groups enough prompts that the mention rate means something from one run to the next. Drill into a topic, add prompts to it, or split it when it gets too broad.
Every competitor you add is measured the same way you are.
Add competitors by name and domain and each view splits by brand: share of voice, mention share, citation share, mention rate, the pages they get cited for, and the questions where they were named and you were not.
Second-turn queries: the next question an AI engine invites your buyer to ask
AI engines often end an answer with an invitation such as "Want me to compare these two suppliers side by side?" The question a person types to accept is a second-turn query. Hi, Moose captures them from each answer during a visibility run and writes each one out in full, so it can be read and tracked without the first answer.
The Second-turn Queries tab lists them by the number of answers that contained each one, with the prompts they followed and the engines they came from. Each query is checked against your crawled site, so you can see whether a page already covers it.
Available on paid plans. Turned on per project in Visibility settings.
Add the questions you want tracked and choose where each one runs.
There is no prompt limit on any plan, including the free one.
Add a prompt, put it in a topic, and pick which engines it runs on. Point the prompts that matter most at the paid engines and keep the rest on local fetch, which costs nothing to re-run. If you already have a list, we can bulk import it on request.
Every spelling of your name and every link to your site counts as you.
An AI might write "Hi Moose", "HiMoose", or just link to our domain. Add the name variations and the domains once and they are counted together.
The ten answer engines and how each one is reached
Ten answer engines on managed plans, nine on your own key. Six of them run as a local fetch: free, no API key, and no limit on how often you re-run them. Claude, DeepSeek and Meta AI need your own key or the managed plan. Bing Copilot runs on the managed plan only, through the cloud or as a local fetch.
Local fetch
Local fetch
Local fetch
Local fetch
Local fetch
Local fetch
BYOK / paid
BYOK / paid
BYOK / paid
Paid only
Local fetch is free Bring Your Own Key (BYOK) or paid only plans
Moving from another AI search tracking tool.
Bring your history with you. We can import the historic data you have already paid another vendor to collect, so your trend lines carry on instead of restarting from zero on the day you switch. The import supports standard AI visibility metrics such as mention and citation rates.
Tell us who you use today and what you are paying. We will come back quickly with what the import covers and what the move looks like.
A PDF report you can hand to a client or a manager.
Export report turns the current view into a PDF: where you stand, whether AI describes you accurately, movement over the period, engine by engine, the pages that get cited, the questions you are missing, and what competitors get cited for. Filters carry through, so a report can be one topic or one engine.
For agencies, white label is built in: your logo, your domain in the prepared-by line, the client's name on the cover. The Hi, Moose name only appears if you leave it on.
Always-on AEO co-worker.
AI search brand monitoring FAQs
What are the views in Visibility?
Overview is the headline read: share of mentions, share of citations, the field, and a written summary. Opportunities is a ranked list of what to work on next, each with the evidence behind it. Mentions lists every brand named in the answers. Citations lists every domain and page cited. Topics and Engines gives you two matrices of mention rate. Competition ranks the field and lists the questions you are missing. Prompts shows every question in the cut with its result. Second-turn Queries, when turned on, lists the next questions the engines invite people to ask. Every view reads the same filtered period.
How many prompts can I track?
As many as you want. There is no prompt limit on any plan, including the free one. What varies by plan is which engines you can reach: local fetch engines re-run at no cost, and the non-local answer engines draw on your own key or a paid managed plan.
Can I hand the report to a client under my own brand?
Yes. The PDF export is whitelabel: your logo, your domain in the prepared-by line, and the client's project name on the cover. Any filter you have applied carries into the export, so you can send a report for one topic, one engine, or the whole period.
How does Hi, Moose check whether AI describes you accurately?
Every answer that names you is scored three ways against the positioning you set in your Brand Truth Profile: the tone it takes, whether it matches how you position the product, and whether the capabilities it lists are real. Answers that drift or misstate a feature are flagged with the quote that triggered the flag, so you can read it and decide whether it is worth a correction.
Which AI answer engines can Hi, Moose monitor?
ChatGPT, Perplexity, Grok, Gemini, Google AI Mode, Google AI Overviews, Claude, DeepSeek, Meta AI, and Bing Copilot. The first six can be checked through local fetches from the Hi, Moose desktop app. Claude, DeepSeek, and Meta AI need an API key or a paid managed plan, and Bing Copilot runs on a paid managed plan, through the cloud or as a local fetch.
What counts as a visibility gap?
A tracked question where a competitor was named in the answer text and you were not. Gaps split into two kinds: absent everywhere, meaning no engine named you for that question, and partial, meaning some engines named you and others did not.
What is a second-turn query?
It is the next question an AI engine invites a person to ask at the end of its answer, written out in full. Hi, Moose captures second-turn queries during visibility runs, counts how many answers contained each one, and checks whether your site already covers it. You can add one to your tracked prompts or start a draft for it. The feature is available on paid plans and is turned on per project in Visibility settings.
Can I import visibility data from another AI monitoring tool?
Usually, yes. On a paid managed plan we can import your existing visibility and tracking data from other vendors, so your history carries over instead of starting at zero. The import lands in your managed cloud project, so it is not available on local-only setups. Share a sample export (CSV) from your current tool and we will tell you what maps across and how long it takes.
Run your first scan
in about five minutes.
Download the app, add your brand and a handful of questions, and the first results appear as each engine answers. Local fetch is free, so re-running costs nothing.