TL;DR
- Visibility prompt tracking now covers DeepSeek and Meta AI on paid plans, which brings the lineup to ten AI engines.
- Every Brand plan's monthly credit allowance went up 25 to 30 percent, and the price of every plan stayed exactly where it was.
- AEO audits now measure retrieval readiness: a search-tuned model running on your own machine scores whether an AI system could pull each part of a page into an answer.
- You can ask Moose to run AEO audits in bulk across a list of pages, and it asks for a clear go-ahead before starting the batch.
- Cloud visibility runs now work through prompts in parallel, so heavy prompt lists finish sooner.
Ten engines
Visibility tracking is the part of Hi, Moose that asks AI assistants your buyers' questions and watches whether your brand comes up. This week two more answer engines joined the lineup: DeepSeek and Meta AI. Both are available on paid plans, and both are opt-in, so nothing changes in your runs until you flip them on in your prompt tracking settings.
That puts the full roster at ten engines: ChatGPT, Claude, Gemini, Grok, Perplexity, Google AI Mode, Google AI Overviews, Bing Copilot, DeepSeek, and Meta AI. Different engines answer the same question differently, and a brand that shows up in one can be invisible in another. More engines means fewer blind spots.
While we were in there, cloud visibility runs learned to work through prompts in parallel instead of one at a time. If you track a heavy prompt list, the run that used to take a while now takes noticeably less of one.
Same price, bigger tank
Every Brand plan got a bigger monthly credit allowance this week. Standard went from 1,700,000 to 2,200,000 credits, Professional from 3,000,000 to 3,750,000, and Premium from 6,000,000 to 7,500,000. Prices did not move.
The pricing page got a refresh to match, including a comparison table you can read without squinting. If you have been on the fence about a plan, the numbers there are the current ones.
Can AI even find your good paragraph?
Being mentioned by an AI assistant starts earlier than most people think. Before an engine can cite your page, its retrieval layer has to find the right chunk of it. A page can hold the perfect answer and still lose because that answer is buried mid-paragraph under a heading about something else.
So the AEO audit now measures retrieval readiness. It splits your page into chunks the way retrieval systems do, then scores each chunk against the questions your buyers ask, using a small search-tuned model that ships with the app and runs on your own machine. You see which parts of a page would surface for a question and which parts the machines would scroll past. It can also line your page up against a competitor's page for the same question and show who wins the retrieval round.
I find this one satisfying. It turns "make your content AI-friendly" from advice into a number.
Audits by the batch
AEO audits also became something you can hand to Moose. Ask in Send Moose and it can run audits across a whole list of pages instead of one at a time. It tells you what it is about to do and waits for your go-ahead before starting, because a batch of fifty audits is not something an assistant should launch on a hunch.
Housekeeping
The prompt suggester in the prompt manager got smarter about proposing prompts that read like things real buyers would type, and free users get a cleaner path through it. Weekly site crawls are no longer on by default for new projects; the crawl is there when you want it, on your schedule instead of ours. And local fetch visibility checks got a round of reliability work, so runs on certain models that used to stumble now finish.
The real Moose was consulted on all of it and had no objections, or at least none he raised before falling asleep.
FAQ
Which plans get DeepSeek and Meta AI tracking?
Paid plans. Both engines are opt-in, so they only join your visibility runs after you enable them in your prompt tracking settings.
Did prices change along with the bigger allowances?
No. Brand paid plans kept their price and gained 25 to 30 percent more monthly credits. The current numbers are on the pricing page.
What does retrieval readiness measure?
It measures whether an AI system's retrieval layer could find and pull each chunk of your page when answering a buyer's question. The scoring runs on a search-tuned model on your own machine, and it can compare your page head-to-head against a competitor's for the same question.
Will Moose run a big batch of audits without asking?
No. When you ask for audits across many pages in Send Moose, it lays out what it is about to run and waits for your approval before starting.
The one who's under the desk for all of it.
