Buyer's Guide to AI Search Visibility Software: Questions to Ask Before You Sign

Most roundups hand you a ranked list and let you guess why. This one works the other way round. Before any tool names, here are the seven questions we ask when a team tells us they are shopping for AI search visibility software. Then we run the shortlist through them.

The short version of where this lands: the tools differ less on "can it tell me if I was mentioned" and far more on "can it tell me why, and what to do next." That second half is where the purchase is won or lost.

Question 1: Does it watch the real answer, or an API approximation?

A monitor can ask a model through its API, or it can run the prompt in the live product the way a buyer would. The two give different answers, because live search products add retrieval, citations and ads that a bare API call does not. Ask every vendor which engines are measured which way.

Promptwatch states it plainly. It monitors ChatGPT (Search), Google AI Overviews, Google AI Mode, Microsoft Copilot, Gemini, Perplexity, Amazon Alexa and Meta AI through the real UI, and tracks models such as Claude, DeepSeek, Mistral and Grok through APIs alongside them. That distinction is useful to you, because it tells you which numbers resemble what a customer saw and which ones are model-behavior samples.

Question 2: Can it explain a drop?

A visibility score that falls ten points is a worry, not a finding. The explanation usually sits in one of three places: a crawler stopped fetching a page, a competitor published something that now gets cited, or the prompt itself changed shape. Ask to see the screen where you would diagnose it.

The AthenaHQ entry in our catalog describes a GEO score and an Action Center with assignable tasks. That is a useful execution queue. The catalog also notes there is no published AI crawler-log product, so the "did the bot even fetch the page" step has to come from somewhere else.

Question 3: Does it connect to traffic?

Mentions are not visits. If the point is pipeline, you need AI-referred sessions and conversions next to the mention data. Promptwatch does this with visitor analytics installed through a lightweight script, a GTM template or the WordPress plugin. Ask each vendor whether attribution is native or whether you will build it yourself in a spreadsheet.

Question 4: What does it do about a gap?

Finding a gap and closing a gap are different jobs. Some platforms stop at a to-do list. Promptwatch has an Action Board with a Discovery agent that investigates your data weekly and suggests up to five evidence-backed actions per run. On the Business plan, a Content Agent will plan, write and publish against visibility gaps on a schedule, with a review inbox if you want a human in the loop.

Scrunch AI takes a different route: its Agent Experience Platform serves AI-optimized page variants to crawlers without changing what human visitors see. The pricing page in our catalog puts that on the Enterprise plan. It is a distinct bet, so evaluate it as such rather than as a like-for-like feature.

Question 5: How is it priced, and what runs out first?

Credits, responses, prompts, projects and seats are all ways a plan can run dry. Read the limits, not the headline price.

Promptwatch Essential is $95/mo with 50 prompts and 6,000 responses, and a 7-day free trial on monthly billing. Professional is $245/mo with 150 prompts and 18,000 responses. Business is $579/mo with 350 prompts and 42,000 responses.
AthenaHQ's catalog entry lists a free Essential tier with 300 credits and Starter at $295 a month with 3,600 credits, where one credit equals one AI response.
Scrunch AI's catalog entry lists Core at $250 a month with 125 unique prompts and 5,000 responses a month, tracking four LLMs, with Enterprise custom.
LLM Pulse lists weekly tracking from €49 a month for Starter, with daily tracking costing more.

Notice that these units are not the same, so a per-dollar comparison is a trap. Convert everything to "responses per month for the prompts I actually need," then compare.

Question 6: Who is it built for?

Profound is a good example of why this question exists. Its own pricing page says it is not only for AI search, and the catalog describes it as an enterprise program of marketing agents with AI search as one channel. If you want a self-serve tracker, that is a mismatch. If you want a custom enterprise agent program, it may be exactly right. Neither verdict is a flaw, just a fit.

LLM Pulse sits at the other end: a small bootstrapped team, transparent self-serve pricing, unlimited seats, and weekly tracking by default. For a lean team that accepts weekly cadence, that is a coherent offer.

Question 7: Will the data survive a skeptical colleague?

Someone in the room will ask whether this is just one lucky sample. A tool that shows which cited URL, which prompt and which date sits behind a number wins that argument. Promptwatch's Page Tracker does this per URL, joining citations, crawler visits and AI click-throughs on one row. Ask every vendor for the equivalent.

Putting the shortlist together

If you apply all seven questions, the profiles separate cleanly:

Promptwatch answers all seven in one workspace: real-UI engines, crawler logs, visitor analytics, an Action Board, and content publishing.
AthenaHQ is the strongest fit when the program must end in assigned tasks and your market is a single country.
Scrunch AI is the one to look at if serving crawlers a separate page variant is part of your strategy.
LLM Pulse is a sensible lean tracker when weekly data is enough.
Profound belongs on the list only if you want an enterprise agent program.

Our recommendation

Start with the question you are least sure you can answer today, which for most teams is Question 2: why did the number move? The platforms that can answer it are the ones with crawler evidence and per-page citation data behind the score. That is why we would put Promptwatch first on the trial list. The Explore plan is free for 10 ChatGPT prompts, and the 7-day trial on Essential gives you a week to test whether the diagnosis screens hold up on your own pages. Run your seven questions against it, then run the same seven against whoever you are comparing.

If a vendor cannot show you a screen for a question, treat it as a no. A demo that dodges is a demo that answered.