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AI visibility·9 July 2026·Updated 25 July 2026·14 min read

The best AI search monitoring tools in 2026: an honest buyer's guide

Buyers increasingly ask an AI assistant before they ask you. If ChatGPT, Perplexity or Google's AI Overviews don't name your brand when someone asks for the best option in your category, you're invisible to a growing slice of demand — and your classic SEO dashboard won't even flag it. A whole category of tools now tracks this. This guide compares them honestly: what they actually do, real entry prices (re-verified against each vendor on 22 July 2026, and they change fast), and how to pick. We include CrunchJunkie, and we'll be straight about where it fits and where it doesn't. One thing changed enough since we first published this to deserve the headline: the advertised entry price is now frequently not the price. Several vendors have moved to charging per AI engine, so the sticker covers three or four engines and the rest — usually Claude, Gemini, Copilot and Google AI Mode — arrive as monthly add-ons. We've priced that out below for each tool that does it, because it is the single biggest gap between what these tools cost and what they appear to cost.

By Philipp Enders·Founder, CrunchJunkie·LinkedInBuilds the reporting and AI-visibility tooling this analysis was run with.

Why this matters now

Two things are true at once. Gartner predicted in February 2024 that traditional search-engine volume would fall 25% by 2026 as people shift to AI chatbots and assistants (gartner.com). That's a projection, not measured fact, and it has credible skeptics — most "AI search engines" are chat layers over Google and Bing, not a replacement index. But the direction is real: in a Gartner consumer survey published January 2026, 51% of people said generative AI had changed how they research, and 82% had noticed AI Overviews in their search results. The mechanics of winning here are different from SEO, and there's peer-reviewed evidence for what works. The Princeton/IIT-Delhi "Generative Engine Optimization" paper (KDD 2024, arXiv 2311.09735) found that adding citations to authoritative sources, direct quotations and statistics to your content raised the chance of being cited in AI answers by up to ~40% — while keyword stuffing, the old SEO crutch, did nothing or hurt. (If GEO is new territory, our plain-language explainer of Generative Engine Optimization covers the mechanics.) So the job is twofold: measure how AI describes you, and change the sources and content that feed those answers.

What these tools actually do (and the four metrics that matter)

An AI-search monitoring tool runs a set of prompts across multiple engines on a schedule (daily or weekly), captures the answers, and parses them. The four things worth tracking, in order of usefulness: mentions (how often you appear), citations (which specific URLs the engine links as its source), share of voice (how much of the answer you own versus competitors), and sentiment (how you're described, not just whether). A mention with no citation rarely drives traffic; a citation tells you which of your pages — or a competitor's — the model trusts. Beyond the metrics, the real differentiators between tools are: engine coverage (only a handful track all of ChatGPT, Perplexity, Gemini, Claude, Copilot and Google's AI Overviews and AI Mode on one plan); localization (answers vary a lot by country, so neutral per-market checks matter); alerting (catching a competitor overtake within a day, not next month); and — the big one — whether the tool has an "action layer" that tells you what to build, or just hands you a dashboard to interpret yourself. Engine coverage deserves a closer look than it usually gets, because it is where the pricing hides. Otterly's base tiers cover four engines and sell Claude as an add-on at €29/€109/€439 per month depending on tier, with Google AI Mode and Gemini from €9/mo — Claude is not tracked at all on the base plans. Peec AI's paid plans each include three models chosen from six (ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, Gemini), with each additional model at $30–140/mo depending on tier; five more (Claude, GPT-5 Search, DeepSeek, Qwen, Mistral) are Enterprise-only. Frase tracks 2 platforms on Starter, 3 on Professional and 5 on Scale. Dageno caps every paid tier at 3 platforms until Enterprise. Semrush's AI Visibility toolkit covers ChatGPT, Google AI, Gemini and Perplexity on its $99/mo Base tier; Grok and Claude are reserved for Enterprise. None of this is hidden exactly — it is just never in the number on the pricing page. Before you compare two tools on price, write down the engines you actually need and price both for that list.
AI visibility dashboard showing the four core metrics — visibility, average position, sentiment and share of voice — across nine AI engines, each with its sample size
What a monitoring dashboard should show: the four metrics with the sample size behind each — a rate measured on 1,004 runs means something a rate measured on six does not.

How to choose: a short checklist

Match the tool to your job, not the other way round. Ask: Does it cover the engines your buyers actually use — on the plan you're being quoted, or only after add-ons? Does it track by the countries you sell in, and in the language your buyers actually type? Does it show citations (URLs/domains), not just mentions? Does it alert you to drops and competitor overtakes, or do you have to log in to notice? Is the pricing transparent and published, or gated behind a sales call? And the honest test most tools fail: ask for a real content brief it generated and a real before/after — if the demo ends at "export to CSV," it monitors but it won't move the needle. Two quieter questions worth adding, because they decide what your numbers actually mean. First: what happens to the metric when a scan covers only some engines? If a tool reports a single "visibility" figure, ask whether it is pooled across every run in the period or an average of per-engine averages — the two can differ by a factor of three on the same data, and only one of them survives a client asking how it was calculated. Second: can you set market and language per prompt, or only per project? A brand selling in Austria and Spain needs different answers from different places, and a tool that carries one setting for the whole account will quietly blend them. One practical shortlist strategy: pick one action-oriented platform, one budget tracker to sanity-check it, and — if AI visibility is part of a wider marketing report — one tool that lives where the rest of your reporting already does. For the tools we're most often shortlisted against, we also keep side-by-side comparison pages — factual, sourced from each vendor's own pricing page, and re-verified quarterly.
An expanded AI answer showing which brands each engine names for a query, the exact sources the model cited, and a content-gap flag
The checklist question most demos dodge: can you see WHICH sources the model used? A mention tells you that you appeared; a citation tells you why.

The landscape, grouped by what they're best at

Prices below are the lowest published paid tier, re-verified on 22 July 2026. Treat them as a starting point — tiers, prompt caps and engine coverage change often, and several vendors now gate pricing behind "contact sales." Where a vendor's own page and third-party trackers disagree, we say so rather than pick the flattering number. Action-oriented platforms (tell you what to build): Profound leads the enterprise end (from $99/mo, but that Starter tracks ChatGPT only — you need the $399/mo Growth tier for Perplexity and Google AI Overviews). Athena HQ pairs monitoring with an autonomous optimization agent (from $295/mo). AirOps ties citation tracking to a content-production workflow (from ~$199/mo Solo, ChatGPT-only at entry). Trakkr focuses on weekly prioritized playbooks and includes MCP access on all plans (from $100/mo). Budget and solo trackers: Rankscale is the cheapest broad-coverage option and natively tracks Claude and Grok (from $20/mo, credit-based, with white-label). Otterly.ai is a clean entry point with GEO audits (from €29/mo Lite, €189 Standard, €489 Premium; 15/100/400 prompts). Read its add-on table before you commit: the base tiers cover four engines, Claude is not tracked on them at all and costs €29/€109/€439 per month by tier, and Google AI Mode and Gemini start at €9/mo. API and MCP access also start at the €189 tier. LLMrefs is metrics-first with prompt-volume estimates and wide geo coverage (from $79/mo). Pageradar (pageradar.io) is an alerting-first "alarm system" for AI Overviews and ranking changes (from €39/mo). Agency and multi-client: Peec AI is purpose-built for agencies with unlimited seats and daily tracking. As of 2 August 2026 its pricing is shown in USD — Starter $95/mo (50 prompts, 1 project), Pro $245/mo (150 prompts, 2 projects) and Advanced $495/mo (350 prompts, 5 projects), then custom Enterprise — a step up from the euro-denominated tiers it ran earlier in 2026, so confirm before you budget. More important than the exact figure: each paid tier includes only three models, chosen from six (ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, Gemini); each extra model is $30–140/mo by tier, and five further models (Claude, GPT-5 Search, DeepSeek, Qwen, Mistral) are Enterprise-only. A full-coverage Peec setup is a different price from the one on the pricing page. SEOmonitor tracks Google AI Overviews daily alongside classic rank tracking, priced per keyword set (from ~€99/mo). SISTRIX bundles AI-answer tracking into its SEO suite at no extra cost (from ~€239/mo; the AI module is still beta). Enterprise, compliance and technical: Evertune is the top of the market and prices like it — from $3,000/mo on annual contracts, so a $36,000 minimum commitment, with no self-serve signup or published tiers. What you buy at that price is a different instrument: foundation-model probing combined with a 25-million-person consumer panel, aimed at statistically significant brand measurement rather than prompt tracking. Founded in 2024 by former Trade Desk executives. If you are a Fortune 500 brand with a dedicated GEO team it is a serious tool; for everyone else the price floor decides the question. Scrunch AI adds SOC 2 and a real-time AI-crawler feed showing exactly when GPTBot or PerplexityBot hit your pages (from ~$250–300/mo). Botify connects technical crawlability and log files to AI visibility for large sites (custom pricing, enterprise only). Nozzle is a heavy-duty Google-SERP tracker with AI Overview share-of-voice and BigQuery export (entry price varies by source and isn't cleanly published). SEO-suite add-ons (best if you already use the suite): Semrush's AI Visibility Toolkit can be bought standalone at $99/mo per domain with no base plan required, which buys 25 tracked prompts across ChatGPT, Google AI, Gemini and Perplexity (Grok and Claude are Enterprise-only). Growth is metered: another 50 prompts is $60/mo and each additional domain is another $99/mo, so a three-brand agency setup is closer to $300 than $99. Ahrefs Brand Radar layers AI Mentions/Citations onto Ahrefs but requires a base plan and per-platform indexes, so the realistic all-platforms total lands near ~$828/mo — and its prompt data is modelled from Google queries rather than real AI chats, a caveat worth knowing. Nightwatch unifies traditional rank tracking with AI-citation monitoring in one dashboard (from €79/mo). Agent-led and workflow tools: Dageno bundles AI-visibility monitoring with a set of named agents for opportunity analysis, content writing, GEO audit, backlinks and social ($79 Starter, $199 Growth, $499 Scale, Enterprise custom). Starter buys 24,000 credits, 50 prompts and 10 competitor monitors with daily tracking — but note the paid tiers cap you at 3 AI platforms, with full coverage reserved for Enterprise. Its unlimited pre-sales pitch reports are a genuinely good agency hook: generate a prospect-facing audit to win the client, not just to serve one. Content tools moving into GEO: Frase is worth knowing about because it signals where this market is heading — a content-optimization platform that has added AI-visibility tracking rather than the other way round ($49/mo Starter, $129 Professional, $299 Scale, or $39/$103/$239 billed annually). Platform coverage scales with the tier: 2 on Starter, 3 on Professional, 5 on Scale, with Claude and Gemini arriving at Scale. If your bottleneck is producing the content rather than measuring the gap, a content-first tool with adequate tracking may beat a tracking-first tool with no writing workflow. Commerce and shopping visibility: Siftly is the most direct answer if what you sell is products rather than services. It tracks how AI assistants recommend SKUs, syncs a catalog from Shopify, and pushes optimizations back into Google Merchant Center and Manufacturer Center. Pricing is structured around products, prompts per product and SKUs — Try at $79/mo covers one product, one prompt and one SKU, then Starter $299, Growth $999 and Pro $2,999. Sources disagree on the current tier names and figures (one July 2026 snapshot showed $79/$249/$599), which usually means a recent repricing, so check their page. That $2,999 top tier is itself information: there is real willingness to pay for AI visibility in commerce. GEOly is the other ecommerce-native option — an AI-shopping GEO platform for DTC brands with Shopify-native monitoring, a large category benchmark index and a 7-agent optimisation team. Two things to watch: it gates engines by tier and meters usage as expiring credits. Basic is $49/mo but ChatGPT-only (1 brand, 30 prompts); all six engines arrive only at Plus ($999/mo), and credits expire in 30–90 days. Verified against geoly.ai/pricing, 2 Aug 2026. Prompt-first and perception trackers: Promptwatch centres on tracking real user prompts across many engines with agent analytics (from $95/mo). Gumshoe AI is pure pay-as-you-go persona-based auditing with no subscription (from $0.10 per conversation; first three report runs free). Hall AI focuses on agent analytics and site-citation tracking (pricing is now "contact sales"). Each is strong at perception and sentiment; lighter on the "what to do next."

Where CrunchJunkie fits — and where it doesn't

Here's the honest positioning. Almost every tool above does one job: monitor AI visibility. CrunchJunkie is the only platform in this list that combines AI-visibility tracking with full cross-channel marketing reporting — Google Ads, Meta, Microsoft, LinkedIn, Amazon and Reddit Ads, GA4, Search Console, Matomo and Piwik PRO among the connectors — plus a technical GEO Audit (is your site even readable to AI crawlers? do you have llms.txt and valid schema?) and an action layer that turns citation gaps into evidence-grounded content briefs. And it's white-label, so an agency can put all of it in one client report under its own brand and domain. On the engine question this article has been circling: we track nine — ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok and DeepSeek — and all nine are included on every plan, starting at €14/month. There is no per-engine add-on and no engine reserved for a higher tier. That is a deliberate choice rather than a feature race: an engine you can't afford to track is an engine you're invisible on without knowing it, and a per-engine price list turns your measurement coverage into a budget negotiation. Eight of the nine are web-search-grounded; DeepSeek answers from training data, which makes it a useful read on what a model believes about your brand when it isn't looking anything up. That combination is the point: for an agency or in-house team, AI visibility usually isn't a standalone product you want to log into separately — it's one channel that belongs next to everything else the client already pays you to report on. And since this article's own test is "does it hand you an executable brief, or just another dashboard," here is our full answer to it. Monitoring feeds a Signals inbox — visibility drops, competitor overtakes, new citation gaps, and cross-channel composites like "AI visibility fell and AI-referred conversions fell with it" — and Automations turn a signal into an AI-drafted response: a content brief, a report section, a client-ready note. Nothing ships without a human approving it; the draft queue exists precisely so the AI never speaks to your client unsupervised. Drafting works in the other direction too: describe a widget in plain language inside the report builder and the in-app assistant creates it against your live data. And the MCP connector — read-only by default, write actions only with explicit scopes — lets you query or act on all of it from Claude, ChatGPT or Cursor. Where CrunchJunkie is not the answer, and we'd rather say it here than waste your trial: if you only want the deepest possible AI-visibility analytics with no marketing reporting attached — the largest prompt libraries, real-time crawler log feeds, or enterprise governance like SOC 2 — a specialist such as Profound, Scrunch or Athena will go deeper on that single axis than we do, and Evertune goes deeper still if you can fund it. If your product is a catalog rather than a service, our AI Shopping Visibility measures the problem — shopping-intent prompts tracked at product level, with your catalog imported straight from Google Merchant Center — but Siftly still goes one step further and writes optimizations back into Merchant Center, which we don't. And on the second question from our own checklist above — per-prompt market and language — we currently carry those settings per project, not per prompt, so a brand tracking Austria and Spain in one project needs two projects today. It's on our roadmap, and it would be dishonest to hand you a checklist question we don't yet pass ourselves. Pick the specialist if AI visibility is your entire job. Pick a combined platform if it's one part of a client's marketing you need to report and act on in one place. Whatever you choose, test it on a 14-day trial against your own prompts — or start with a free AI visibility check to see where you stand before you spend anything — and judge it on one thing: does it hand you an executable brief, or just another dashboard?
CrunchJunkie AI-to-conversions view linking AI visibility to AI-driven sessions, conversions and revenue pulled from GA4
The combination argument in one screen: whether being named by AI engines actually turned into sessions, conversions and revenue — the question a client actually asks.

Sources

Pricing and features first verified against each vendor's own site in July 2026 and re-verified on 22 July 2026; figures change, so confirm before buying. Where a vendor's page and third-party trackers disagreed — Siftly's current tier structure — both figures are given above rather than one being chosen. Peec AI was re-checked on 2 August 2026: it has repriced to USD ($95/$245/$495) with a choose-three-of-six engine model, so the older €85 tier is retired. Semrush's AI Visibility toolkit was re-checked on 3 August 2026 (standalone at $99/mo per domain across ChatGPT, Google AI, Gemini and Perplexity; Grok and Claude Enterprise-only). Market context: Gartner, "Gartner Predicts Search Engine Volume Will Drop 25% by 2026" (gartner.com, Feb 2024) and Gartner consumer research on GenAI search habits (Jan 2026); Aggarwal et al., "GEO: Generative Engine Optimization," KDD 2024 (arxiv.org/abs/2311.09735). Vendor references: tryprofound.com, peec.ai, otterly.ai, scrunch.com, rankscale.ai, nightwatch.io, semrush.com, ahrefs.com, athenahq.ai, gumshoe.ai, trakkr.ai, llmrefs.com, usehall.com, sistrix.com, nozzle.io, botify.com, pageradar.io, promptwatch.com, airops.com, seomonitor.com, evertune.ai, siftly.ai, frase.io, dageno.ai.

Frequently asked questions

Several of the best-known ones do, and it is the most common reason a quote comes in above the advertised price. As of July 2026, Otterly.ai's base tiers cover four engines and sell Claude separately at €29 to €439 per month depending on tier, with Google AI Mode and Gemini from €9/mo. Peec AI's paid plans each include three models chosen from six (ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity and Gemini), with each additional model at $30 to $140 per month depending on tier and five more (Claude, GPT-5 Search, DeepSeek, Qwen, Mistral) reserved for Enterprise. Frase and Dageno instead gate engine count by tier: Frase tracks 2, 3 or 5 platforms by plan, and Dageno caps all paid tiers at 3 until Enterprise. Others, including CrunchJunkie, include every engine on every plan. Price the engines you actually need before comparing two tools on their entry price.

The published range runs from about €14 per month to $3,000 per month, and the spread reflects genuinely different products rather than different amounts of the same one. Budget trackers start around $20 to $39 (Rankscale from $20, Otterly from €29, Pageradar from €39). Mid-market tools cluster between $79 and $299 (LLMrefs, Dageno, Semrush's standalone toolkit at $99 per domain, Athena HQ at $295). Agency platforms with unlimited seats sit near $95 to $495 (Peec AI). The enterprise end is Evertune at $3,000 per month on an annual contract, a $36,000 minimum. Two things move the real number more than the tier does: per-engine add-ons, and per-domain or per-prompt metering — Semrush, for example, charges another $99 per additional domain and $60 for each extra 50 prompts.

Start with where your buyers ask, not with the longest list. ChatGPT, Google's AI Overviews and Perplexity cover most commercial discovery and are the three that nearly every tool includes in its base price. Add Google AI Mode and Microsoft Copilot next, since both sit inside surfaces people already use by default rather than choosing deliberately. Claude and Gemini matter for professional and technical categories. Grok and DeepSeek are narrower, though DeepSeek is interesting for a different reason: it is not web-search-grounded, so it shows what a model already believes about your brand without looking anything up, which is a read on training-data presence rather than retrieval.

A tracker answers how AI assistants describe your brand: mentions, citations, share of voice and sentiment across a set of prompts. A reporting tool answers whether marketing worked: sessions, conversions, spend and revenue across ad platforms and analytics. They are usually separate purchases with separate logins, which is fine until a client asks the one question that spans both — is this working? — because answering it needs the same period and the same report. The tools that combine both are the exception rather than the rule, and it is worth deciding up front which of the two questions you are actually being paid to answer.

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