You already pay for rank tracking and a backlink index. Someone in the room now asks whether ChatGPT recommends you, and nobody can answer it from the tools you own. The question is what to add, and whether it replaces anything.
Short version: it adds one narrow capability, it replaces nothing, and roughly half the value can be had for free in an afternoon. Here is what your current stack does and does not cover, and how to fill the gap without buying a second platform you will not open.
What your SEO tools already tell you
More than the AI visibility vendors imply. Three things you own today are directly relevant.
- Your ranking pages are your citation pool. Engines overwhelmingly cite pages that already rank well, so your existing position data is a decent predictor of which of your pages can get cited at all.
- Your backlink profile is your eligibility. Being cited by a model is downstream of being covered by sources it trusts. That is the same authority graph your backlink tool already maps.
- AI Overviews appear in rank trackers. Most major rank trackers now flag when an AI Overview occupies the result and sometimes whether you are inside it. Check before buying anything, because you may already have partial coverage you are not looking at.
What none of that tells you is what happens inside a conversational answer, where there is no ranked list, the response is synthesized, and a competitor can be recommended in a sentence that cites nobody.
The actual gap, stated narrowly
Three questions your current stack genuinely cannot answer.
Are you named when the buyer does not name you? Someone asks for the best tool in your category. Rank tracking cannot see this because there is no ranking, only prose.
Is what the model says about you correct? Models confidently attach wrong pricing, wrong features and occasionally a competitor's product to a brand. This is a reputation exposure with no equivalent in classic SEO reporting.
Which sources are shaping the answer? When an engine cites its way to a recommendation, the cited pages are a target list. Some are yours, most are not, and the ones that are not are the actual work.
Do the free version before you buy
This is the step most teams skip, and it usually decides the purchase.
Write the ten questions a buyer would actually type. Half branded, half not. Ask them in ChatGPT and Perplexity in a logged-out or temporary session so your own history does not flatter the result. Record the answers with the date.
If you are named in most answers, you have a monitoring problem and the cheapest credible tracker solves it. If you are absent everywhere, you do not have a measurement problem yet. You have a coverage problem, and what you need is the list of sources being cited instead of you, which is closer to digital PR than to analytics.
What to add, by situation
All the tools in this category run the same loop. They ask your questions to AI engines on a schedule, read the answers, and log whether you appeared, whether you were recommended and what got cited. They differ on engine coverage, how often they check, whether you can read the raw answers, and how many prompts you get.
That last one is the pricing unit across the whole category, so compare on cost per prompt per month rather than on plan names.
If you want the cheapest credible monitor
Otterly.AI publishes $29 a month for 15 prompts across four engines, rising to $189 for 100 prompts with API and MCP access. Google AI Mode, Gemini and Claude are add-ons, so price your real engine list rather than the headline.
If you are enterprise with a budget line
Profound sells on custom pricing and the differentiator is depth of source analysis across a large prompt set: which publications and pages are shaping answers about you. Overkill if the question is whether the model knows you exist. Peec AI sits in the middle across six engines but does not publish pricing, so ask them directly rather than trusting numbers in comparison posts.
If you would rather not run a second platform
The argument for keeping this inside your existing authority tooling is that the inputs overlap almost entirely. VerifiedDR takes that approach, tracking ChatGPT, Perplexity and Google AI Mode with every answer shown verbatim and the brands named in each, on the same site profile as Domain Rating, backlinks and keyword positions. One free scan of up to four questions per account, then $39 a month for 25 questions per scan, $99 for 75, $199 for 200.
The honest limits: three engines rather than eight, so Copilot or Claude coverage rules it out, and the full refresh is weekly rather than daily. If you need same-day signal during a campaign, a pure-play tracker is the better fit.
How to report it without inventing a metric
Resist building a single AI visibility score for the board. The number will move for reasons you cannot explain, because generation is sampled and engines personalize, and you will spend the next quarter defending noise.
Report three things instead. The share of your unbranded buyer questions where you are named at all. The number of factual errors about you found in answers, which should trend to zero and is the easiest win. And the cited domains that keep appearing instead of you, which doubles as your outreach list.
That last one converts the whole exercise from a dashboard into work someone can actually do.
Frequently asked questions
Does this replace rank tracking?
No, and be wary of anyone saying it does. Classic search still carries the majority of intent for most categories, and the pages that get cited in AI answers are largely the pages that rank. Adding AI visibility on top of a working SEO programme is reasonable. Replacing the programme with it is not.
Is GEO a real discipline or a rebrand?
Mostly a rebrand of things that already worked, with one genuine addition. The mechanics are the familiar ones: be covered by trusted sources, state plainly what you do, get into the list-style pages that models read. What is new is that the answer is synthesized and often ends the session, so being cited without being clicked is now a normal outcome and referral traffic stops being the whole scoreboard.
How much should we budget?
Somewhere between nothing and $200 a month covers most mid-sized businesses, because most have fewer than forty buyer questions that matter. Five-figure annual contracts make sense when you have a brand with real category search volume and someone whose job is to act on the output weekly.
How often should we check?
Monthly for most, weekly if you publish weekly. Daily mainly while a campaign is running. Checking more often than you can act adds cost and no decisions.
Where AgentReacher fits
AgentReacher is a scheduling and AI content studio, not a visibility tracker, so this is not a pitch. The reason it is worth writing about here is that the shift changes what published content is for.
When an engine answers on your behalf it draws on how your product is described in text across the web, and it hands the buyer a short list rather than ten links. Precision in how you describe yourself starts to matter more than volume, and the consistency of that description across every channel you publish to becomes a practical asset rather than a brand-guidelines nicety.
Publish on a schedule you can hold, say the same true things everywhere, and check once a month whether the machine sitting between you and your buyer has it right.