When AI search took off, every marketer panicked a smidge. Nobody knew whether their brand showed up in ChatGPT, how often, or for which prompts. For all intents and purposes, it was a black box, and one that was beginning to dangerously affect performance metrics.

That part is mostly solved. Answer Engine Optimization platforms exist now, and you probably already use one to track your visibility, citations, and sentiment across answer engines. What the dashboard doesn't do is the work that comes after it. You still export the data, line it up against last period and your competitors, sort the real movements from the noise, dig for the reason behind each one, and write it all up for people who never open said dashboard.

That work is where the best AEO platforms are heading next. They're becoming agentic, running AI agents that pull the data, analyze it, and write it up for you. Profound does this with Agents built directly on the data it collects. That covers your visibility, citations, sentiment, and accuracy across the major answer engines, AI crawler activity on your site, and 2+ billion real user prompts.

You can build your own reporting and monitoring agents, or start from Profound's library of templates, both of which we cover below.

Automate the recurring performance update

If you track AI search, people expect to hear how it's going. Maybe that's a weekly note to your manager, a monthly deck for your CMO, or a report for a client. Whatever the format, the update covers the same ground each time: how visible you are across the engines, how you compare with competitors, and what changed since the last report.

Building it means pulling the same metrics from the same place and laying them out the same way, which is precisely the kind of work an agent handles well.

The Weekly Brand Health Report and Monthly Brand Health Report agents do the assembly. They pull your visibility scores and share of voice from Profound, break them out by engine and against your competitors, and write them up as an overview your team can edit before it goes out.

Arizona College of Nursing tracks more than 300 prompts across 24 local markets, and its team saves 20 hours a month with Profound Agents, partly by automating weekly AEO reporting. Francis Dayton, Web Product Manager, calls Profound’s LLM citation and visibility insights "our health check in terms of our competitive positioning across markets."

Separate real movement from noise

Once the numbers arrive, the harder part is deciding which changes are meaningful enough to act on. AI search metrics move all the time, and a lot of that movement comes from the engines themselves. When we tracked 15,155 brand setups daily across Gemini, AI Overviews, and AI Mode, visibility on a single engine drifted 2 to 3 points from one day to the next. On the same day, the same brand's visibility also differed by a median of 8 points between its best and worst Google surface.

You can adopt three habits to make real movement easier to spot using Answer Engine Insights, the part of Profound that holds your visibility, citation, and sentiment data:

  • Report trends over a window. Set the date range to a window, like the previous 7 days, and compare it with the period before. The charts calculate the change for you. OpusClip tracks its AI search performance on a 7-day rolling average for the same reason, since it smooths out the daily wobble without hiding a real shift.
  • Break results out by engine. A blended visibility score can stay still while ChatGPT climbs and Gemini falls, and those moves usually have different causes. The Platforms view splits your visibility by engine, so you see each move on its own.
  • Keep your setup stable between periods. Profound runs your tracked prompts every day, so two periods are directly comparable as long as the prompts, engines, and competitors you track stay the same. Add 50 prompts mid-quarter and your visibility score now covers a different set of questions. Add a competitor and your share of voice drops, even if nothing else changed. For a quarter-over-quarter comparison, filter to the topics you tracked in both periods.

The trouble with habits you apply by hand, though, is that they slip in your busiest weeks.

So build them into an agent. In Profound's drag-and-drop builder, you can set up an agent that pulls your visibility and citation share from Answer Engine Insights for the last 7 days and the 7 before, breaks both out by engine, flags only the changes bigger than the threshold you agreed on, and posts them to Slack. Every update then applies the same rules, and you only dig into the changes that cleared the bar.

Trace a visibility or citation drop to its cause

Say the agent from the last section flags a change that clears your threshold: your citation share on pricing prompts has fallen six points on ChatGPT and stayed down for two weeks. Before anyone touches the pricing page, find out why:

  • Did the engine change how it answers the topic? Check whether your competitors lost ground on the same prompts in the same week. Answer Engine Insights shows their citation share next to yours, filtered by engine. If they dropped too, the engine has likely shifted what it cites for that topic, for example, from vendor pages toward review sites and forums. Rewriting your pricing page won't win those citations back. Getting onto the pages the engine now cites might, and Profound also has agents to help with those outreach efforts.
  • Did AI crawlers stop reaching your page? Agent Analytics reads your server logs and shows whether AI crawlers are still visiting a page, and how often. A redirect, a site migration, or a new robots.txt rule can cut off crawler visits overnight.
  • Did another page replace yours? In Answer Engine Insights, open the Citations view for the prompts that dropped and compare the most-cited pages before and after the drop. That shows you the specific page that took your spot, whether it's a competitor's product page, a review site, or a Reddit thread. The Citation Type Breakdown for a Given Topic agent gives you the wider pattern. It sorts every page the engines cite on the topic by content type and reports citation counts and share of voice for each type, so you can see whether the whole topic is tilting toward one kind of page. If you lost citations across a whole section of your site rather than on one page, the Bulk Analysis on Lowest Performing Pages agent pulls your 50 least-cited pages on the topic and analyzes where to optimize them.

Watch how engines describe you

Your visibility can hold steady while the way engines describe you slowly goes sideways. An outdated fact creeps in, a strength stops coming up, or a competitor starts getting framed as the safer choice. Your visibility report won't catch any of it, because a mention counts the same whether it's flattering, accurate, or neither.

Call out box: Our AEO guide goes in depth on the gap between your associations (what AI says about you now) and your attributes (what you want it to say) and what it takes to close it.

The Top Sentiment Themes Report agent pulls sentiment scores for each theme within a topic, averages them over the period, and reports your strongest and weakest themes with the main takeaways. FactCheck covers accuracy. It extracts the factual claims engines make about your brand, checks them against the product facts you've given Profound, and tracks your accuracy score over time.

Run monitoring and reporting with your AI Marketer in Profound

The agents in this piece tell you what happened and why. What to do about it is still your call, and it's the first question you'll get when delivering reports. Answering it means going back into the data. Checking which prompts drove the drop, what a competitor published that week, and whether the solution is a new page, a pitch, or nothing at all.

AI Marketer (Aim) does that digging before you have to.

Aim is the orchestrator inside Profound, a marketing teammate that reads the same data your reports draw from, every day: visibility, citations, sentiment, accuracy, and crawler activity across the engines. It also reads Context Manager, where Profound keeps your company’s information, including positioning, audiences, competitors, products and approved claims, and current priorities. Here's how Aim handles reporting:

  • Every week, it sends you a ranked list of findings, with the data behind each one. For example, a competitor pulls ahead of you on pricing, or the engines keep getting a fact about your product wrong.
  • You decide which suggestions to act on. For each one you approve, Aim builds a project, which is a plan that breaks the fix into specific tasks. Say the engines keep getting your pricing wrong. The tasks might include finding the answers that repeat the wrong price and the pages they came from, drafting an update to your pricing page, and drafting correction requests to third-party sites. Aim then builds and runs the agents that do each task.
  • You review the work before anything goes live. You’re in charge of the last mile review before any piece of content is published or outreach email is sent. Aim also learns from what you approve, edit, or turn down, so the list fits your priorities better each week.

You decide which movements deserve leadership's attention and what to tell them. Aim assembles the numbers, traces each movement to its cause, and drafts the response for your review.

Your AI search numbers are moving as we speak. Book a demo to find out why.

AI marketing agents for reporting and monitoring FAQs

What can AI agents do for AI search reporting?

They take over the parts of reporting that follow the same steps every time. An agent can pull your visibility, citation, and sentiment data, compare it with the previous period and with your competitors, break it out by engine and topic, and write it up as a summary you edit before it goes out. Other agents dig into specific changes, like sorting the pages that took your citations by content type, or analyzing why your least-cited pages on a topic aren't getting picked up.

Why do AI visibility numbers move so much from day to day?

Because answer engines generate a fresh answer every time. The same prompt can trigger different web searches, pull different pages, and produce a different list of brands from one run to the next, and engines also update their models and retrieval without announcing it. In Profound's tracking of 15,155 brand setups, visibility on a single engine drifted 2 to 3 points a day from that noise alone. Read weekly trends or a rolling average, and treat any single day's number as one sample.

How often should we report on AI search?

Weekly for the team in charge of AEO work, and monthly or quarterly for leadership. A week is short enough to catch a real shift soon after it starts, and long enough to average out the daily noise. Monitoring is a different matter. Keep it running continuously, because a crawler block or a wrong fact spreading across engines costs you visibility every day it goes unnoticed.

Can Profound attribute revenue to AI search?

Partly. Profound shows whether AI crawlers reached your pages, whether engines cite them, and, through Agent Analytics, how many visitors who arrived from AI search converted on your site. It doesn't trace a deal from an AI answer through to closed revenue on its own. For that, connect Profound's data to your analytics and BI tools, the way CRS did with Google Analytics and Looker to follow AI visibility through to MQLs and closed deals.