AI Search Console Review (2026): Pricing, Features & Honest Verdict

AI Search Console is a GEO tracking platform that runs real prompts across ChatGPT, Perplexity and Google AI Mode, then reports where your brand appears and which sources the models cited. Solid feature set at a price that undercuts most rivals, wrapped in an anonymous company and a name you cannot search for. Best for: SEO agencies reporting AI visibility to clients. Price: From $45/mo (free trial, no card). Rating: 6.5/10.

What is AI Search Console?

AI Search Console tracks how a brand shows up inside AI answers rather than inside search rankings. It sends a set of buyer prompts to ChatGPT, Perplexity, Google AI Mode and other models on a schedule, records whether your brand was mentioned, where in the answer it sat, which competitors were named instead, and which URLs the model cited to build the answer. Everything lands in a dashboard and an exportable PDF report. It launched on Product Hunt on 30 July 2026 and reached number two with 286 upvotes.

The pitch is aimed at agencies doing this work by hand. If you have ever kept a spreadsheet of prompts, run them one by one, screenshotted the answers and pasted them into a client deck, this is the product built to delete that afternoon from your week. The company is TeamVerses INC., registered at 8 The Green STE A in Dover, Delaware, which is a registered-agent address used by thousands of companies and tells you nothing about where the team actually is. No founder is named on the site. Contact is a support email and a Telegram link.

What Are AI Search Console’s Key Features?

Prompt-level visibility tracking

The core loop tracks a visibility score, brand mentions and trend movement across ChatGPT, Google AI Mode and Perplexity. What matters is that it works at the level of individual prompts rather than aggregate scores. You see which specific questions surface your brand and which ones do not, so the output is a work list instead of a number. Topic grouping and per-query performance sit alongside it, and the platform tracks movement over time so you can tell a trend from a single-day fluctuation, which is a real problem given how much model output varies run to run.

Competitor rankings inside the answer

You can compare brands by visibility, sentiment, share of voice and position within the AI answer. Position matters more here than it does in classic SEO. Being mentioned third in a paragraph after two competitors is a different outcome than leading the answer, and most cheaper tools in this category collapse that into a binary mentioned or not mentioned flag. Seeing who the model prefers and how strongly is the thing clients actually ask about.

Source and citation analysis

This is the strongest part of the product. It surfaces top domains, specific URLs, source types and citation rates, and links each source back to the answers it influenced. The demo makes the argument well: a source mix showing Reddit threads at 34 percent, comparison pages at 22 percent, review sites at 16 percent, official docs at 15 percent and owned content at 13 percent. That breakdown tells you your website is not the lever. Getting into the right Reddit threads and comparison pages is. That is an actionable finding, and it is the difference between a dashboard and a strategy.

Client-ready reporting

Exports produce PDF reports containing top prompts, cited sources, competitor gaps and recommended actions. For an agency this is the feature that justifies the line item, because the deliverable is what the client pays for. AI answer history is stored too, so you can pull the exact response a model gave on a given date with its citations and brand mentions intact, which is useful when a client insists their visibility dropped and you need to show what actually changed.

Stored AI answer history

Every tracked response is kept with its model, its citations, the brand mentions it contained and the prompt that produced it. This sounds like a logging detail and is closer to an insurance policy. AI answers are not reproducible: run the same prompt twice and you can get different sources, so without a stored record there is no way to demonstrate that anything changed. Having the raw answers on file is also what makes the reporting defensible when a client disputes a number, and it is the only part of the product that becomes more valuable the longer you run it.

How Much Does AI Search Console Cost?

Pricing starts at $45 per month for Starter, which gives 60 credits per day and 1 project. Pro is $195 per month for 360 credits per day and 2 projects. Business is $495 per month for 960 credits per day and 5 projects. There is a free trial and no card is required to start. The tiers scale credits and projects together, and the number of AI models included changes by tier, though the pricing cards do not state clearly how many you get on each.

Against the category that entry price is genuinely competitive. Peec AI starts around $95 per month for 50 prompts. Profound’s public entry sits at roughly $399 to $499 per month for the standard tiers, with a restricted $99 annual plan covering ChatGPT only. Otterly is the one that undercuts it, at $29 for Lite, $189 for Standard and $489 for Premium. So AI Search Console lands between Otterly and Peec at the bottom, and lines up almost exactly with Otterly Premium and Profound’s entry at the top. The problem is what a credit is. Nothing on the pricing page defines whether one credit is one prompt on one model, or one prompt across all models, and that single undefined unit makes every tier impossible to budget before you sign up.

The daily rather than monthly framing is worth thinking about too. Sixty credits a day is roughly 1,800 a month if you use every one, which looks generous, but daily buckets almost never roll over. If your reporting is monthly and bursty, which agency reporting usually is, a daily cap is the wrong shape for the work: you cannot save nine quiet days to fund one heavy refresh before a client call. Ask about rollover during the trial, because the answer changes what tier you actually need.

Who is AI Search Console Best For?

Use AI Search Console if you run an SEO or GEO practice and you currently produce AI visibility reports by hand. The citation analysis and the PDF export are aimed directly at that job, and at $495 for five client projects the per-client cost is defensible against what agencies charge for the work. It also suits an in-house marketer at a single brand who needs to prove AI visibility is moving, where the $45 tier and one project fit exactly.

Skip AI Search Console if you need more than five brands tracked, because the published ladder stops at five projects and there is no enterprise tier listed. Skip it if procurement will ask who the vendor is, because you will not be able to answer beyond a Delaware registered-agent address. And skip it, for now, if you are betting a retainer on it: this launched today, and a tool whose entire value is a time series of data has no time series yet.

Best AI Search Console Alternatives

Otterly.AI starts at $29 per month for Lite, with Standard at $189 and Premium at $489. It is the cheapest serious way into this category and the closest competitor on price. It is lighter on citation analysis and on the agency reporting layer, so you trade depth for the lower entry point.

Peec AI runs around $95 per month for a base plan covering 50 prompts, a choice of three of six models, and unlimited seats. Unlimited seats is the standout, since seat counts are how most tools in this category extract money from agencies. It is roughly double the price of Starter here for a clearly stated prompt allowance, which is arguably the better trade.

Profound is the enterprise incumbent, publicly around $399 to $499 per month for standard tiers and reportedly several thousand per month for full platform access. You get ten engines, an action layer, SOC 2 and SSO. If a security review is part of your buying process, this is the one that survives it.

Final Verdict: Is AI Search Console Worth It?

The product is good and the price is fair. Prompt-level tracking, position inside the answer, and citation source analysis are the three things that matter in GEO tooling, and this covers all three at $45 to start when the nearest full-featured rivals ask $95 to $499. The source mix breakdown alone changes what you do next, because it moves the work off your own site and onto the third-party pages models actually read. For an agency replacing manual checks, the maths works on the first client.

Two things hold it back. The first is the name, which is a real commercial problem and not a stylistic complaint: we could not find this product by searching its own name, because every result belongs to Google Search Console or to articles arguing that an AI search console does not exist yet. A tool sold to search professionals that cannot itself be found in search is a strange place to start, and sitting this close to a Google product name carries risk that is not yours to control. The second is the anonymity. There is no founder, no team page, no company history, and a Dover mail-drop address, on a product that will hold your client list and your competitive strategy. Take the free trial, run it beside whatever you use now for a month, and do not cancel the incumbent until the data has enough history to be worth something.