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

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.

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, Gemini, Naver AI), with each additional model at $30–140/mo depending on tier; six more (Perplexity, 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.

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. If you would rather try the method by hand before you buy anything, our AI tracking guide walks through it step by step.

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. Where we publish a side-by-side comparison with a tool, its name below links to it. Action-oriented platforms (tell you what to build): Profound leads the enterprise end (custom pricing through sales for brands, plus a self-serve Agency Growth plan for agencies at $99/mo plus $399 per client workspace; the free 7-day trial covers ChatGPT, Gemini and 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; white-label from the $385 Growth plan). 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 users 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 — Peec's pricing is location-based, so US visitors see USD and EU visitors EUR: one price list in two currencies, not a price rise. (Those USD figures are the monthly-billing rates; EU visitors currently see €70/€180/€360 with annual billing — re-verified 5 September 2026. Same structure either way.) 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, Gemini, Naver AI); each extra model is $30–140/mo by tier, and six further models (Perplexity, 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 sits at the top of the market. Its one published plan, Pro, is $800/mo for 100,000 prompts across 11 AI models; Enterprise is priced on request, and both are sold through a demo rather than a self-serve signup (evertune.ai/pricing, re-checked 11 October 2026). What you buy is a different instrument: each prompt is asked 100 times per model, the prompts come from a panel of more than 150 million real conversations, and the aim is statistically significant brand measurement rather than prompt tracking. It can also buy ChatGPT and programmatic ads for you. Evertune was founded in 2024 by people from The Trade Desk's early team. For a brand with a dedicated GEO team it is a serious tool; for a small team, the $800 floor and the demo-led sale decide 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. Its pricing has now changed twice in 2026, which tells you how fast this corner of the market is moving: re-verified against siftly.ai on 5 September 2026, the tiers are a free plan, then $79, $249 and $599 per month, with engine coverage expanded to eight — and Claude reserved for Enterprise. Earlier snapshots ($79/$299/$999/$2,999, and $79/$249/$599 before that) are already stale, so treat any third-party price table for Siftly, this one included, as having a short shelf life and check their page the week you buy. 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."

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, Piwik PRO, Brevo and Mailchimp 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 ten — ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok, DeepSeek and, since September, Meta AI — and all ten 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. Nine of the ten 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 — this guide originally admitted we carried those settings per project and failed our own test. Since then we've shipped it: market and language are now set per prompt, so a brand tracking Austria and Spain lives in one project with each prompt asked from its own market. We're leaving this paragraph in rather than quietly deleting the confession, because the checklist only works if vendors answer it in public. 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?

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. Peec AI was re-checked on 2 August 2026 (USD $95/$245/$495 for US visitors with a choose-three-of-six engine model; Peec's pricing is location-based, so the euro tiers were not retired) and again on 5 September 2026 (EU visitors see €70/€180/€360 on annual billing; same structure). 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). Siftly was re-verified on 5 September 2026 (Free/$79/$249/$599, eight engines, Claude on Enterprise) — its second 2026 repricing. Evertune was re-checked on 11 October 2026: evertune.ai/pricing lists Pro at $800 a month, and the $3,000 a month on an annual contract that an earlier version of this guide gave is not on Evertune's site. 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.