AI-Visibility Tools 2026: An Honest Market Overview
Summary. The market for AI-visibility tools has gone from "does anything like this exist yet" to fourteen plausible options in under twelve months. Pricing now ranges from $29 to over $5000 a month, and the gap between a free one-off score and a 7000-Euro-per-year continuous SaaS dashboard is wider than the marketing suggests. This post sorts the field into four categories, names what each category actually does, calls out the structural gap nobody is filling — and explains, honestly, where our own AI Visibility Engine fits.
Two weeks ago I walked through why most Mittelstand sites are invisible to ChatGPT. The implicit question that came up after the post was: "fine, which tool should I buy?". This is the answer. It is also the answer I wish a vendor would write, so I am writing it for the category we operate in.
The honest framing first. The market has split into four buckets that solve genuinely different problems. The marketing copy of all fourteen tools makes them sound interchangeable. They are not.
The four categories that actually matter
1. Brand monitoring in LLMs. These tools poll ChatGPT, Claude, Perplexity, Gemini, Grok and a growing list of others with a defined set of prompts, then count how often your brand appears in the answer and which sources the model cited. They are the closest analogue to a rank tracker for the answer era. They do not fix anything; they tell you where you stand, every day or every week, with a delta. Players: Profound (US, $1B valuation, $499 to $5000+ per month, Enterprise sales-led), AthenaHQ (US, $295 per month self-serve, 8 LLMs, YC-backed), Peec AI (Berlin, around $100 to $241 per month, the only serious European GDPR-native player), Otterly.ai (Austria, $29 to $989 per month, the cheapest entry point), Bluefish AI (US, $68M funding, enterprise pricing not public, brand-safety-focused), Scrunch (US enterprise, SOC 2, pricing not public), Brand24 LLM Listening (Polish social listening suite with an LLM tab from around $99 per month).
2. Hybrid site audits. These tools look at your site itself — robots.txt, llms.txt, schema markup, content signals, Link headers — and grade how readable it is to AI agents. They are technical diagnostics. They do not poll LLMs. Players: Cloudflare's isitagentready.com (free, four-dimensional check across discoverability, content, bot access and capabilities, launched April 2026), HubSpot AI Search Grader (free composite score with a $50-per-month upgrade for continuous monitoring).
3. Established SEO suites with an AI layer. The Semrush, Ahrefs, SE Ranking and Conductor cohort has retrofitted an AI-visibility module on top of their existing keyword infrastructure. The pitch is consolidation: if you already pay for the suite, the AI module rides along. Players: Semrush AI Visibility Toolkit (around $99 per month as an add-on, $199+ bundled), Ahrefs Brand Radar (around $199 per AI index or $699 per month for six platforms, on top of Ahrefs base — full stack often above $800 per month), SE Ranking AI Visibility Tracker (around $119 per month on top of an Essential plan), Conductor (enterprise contracts in the $25–60K-plus-per-year range).
4. GEO content generation. These tools optimise the inputs to the answer — content briefs, articles, citation hooks — rather than measuring the output. They are content factories with an AI-visibility flavour. Players: Goodie AI (around $495 per month, end-to-end GEO/AEO content writer, 11+ engines), Writesonic ($49 to $499 per month, GEO features unlock at $249), Surfer SEO (around $89 per month and up, primarily a content optimiser).
The reason this taxonomy matters is that most Mittelstand inquiries I receive ask for one tool when they need two. A brand that cannot be cited by ChatGPT because its schema markup is broken does not need a $499-per-month dashboard that tracks how often it is cited. It needs a $0 diagnostic that points at the schema. A brand that has clean schema but no Wikipedia article does not need another schema check; it needs a content-and-PR programme. The tools at $29 and the tools at $5000 are not the same thing at different scales. They are different products for different problems.
What is actually different between Profound and Otterly
The instinct is to read price as quality. With this category that is wrong. Profound at $5000 a month and Otterly at $29 a month do not give you a better and a worse version of the same insight. They give you very different artefacts. Profound runs continuously, instruments your crawlers with web-server logs, surfaces agent-traffic patterns, and ships an enterprise-compliance bundle (SOC 2 Type II, SSO, RBAC) that lets a Fortune 500 procurement team approve the purchase. Otterly runs prompt-based caps, gives you a brand-visibility index plus a GEO audit with a SWOT-style breakdown, and is something you can buy with a credit card on a Tuesday afternoon. The Otterly user is a head of growth at a 50-person company validating a hypothesis. The Profound user is a CMO at a 5000-person company answering to a board on the AI-channel question. Neither is wrong. Picking the wrong one is.
AthenaHQ sits in between with self-serve pricing and enterprise-grade coverage, including Claude and Grok in the base tier — currently the most LLM-coverage-per-dollar in the category. Peec AI is the Berlin-based GDPR-native answer with comparable pricing to AthenaHQ, no US data-transfer exposure, and a multi-project setup that is genuinely useful for agencies serving multiple DACH clients. If you are a German Mittelstand company and your legal team has a meaningful opinion about Schrems II, Peec AI is the only player you can put on the radar without a six-week DPA negotiation.
The free tools are not toys. The Cloudflare isitagentready.com audit and the HubSpot AI Search Grader will tell you something useful in five minutes. Their limitation is shape, not depth: a one-shot snapshot does not show direction. You need at least two audits, eight weeks apart, to know whether your improvements moved the needle. Both tools are calibrated for the first audit, not the seventh.
The structural gap nobody is filling
The market is loud at both ends and quiet in the middle. At one end you have free snapshots — useful, shallow, not configurable. At the other end you have $300-to-$5000-a-month SaaS dashboards designed for marketers who want a number every Monday morning. The middle slot — a deep, opinionated, one-off audit that gives a German Mittelstand company a concrete to-do list, with the local-SEO dimension included and a follow-up scan eight weeks later — is structurally absent. The continuous-SaaS players are not going to build a one-off-audit business; the unit economics do not work. The free-snapshot players are not going to build a deep audit; their funnels point upward. The agencies that could fill this gap mostly sell a generic SEO audit with an AI-keyword sticker on top, because that is what their existing playbooks can produce.
Our AI Visibility Engine sits in that gap deliberately. The honest comparison: it is not a self-serve SaaS, so you cannot log into a dashboard at 3am and see this week's number. It does not run continuously, so you do not get Slack alerts when your competitor's citation share moves. It does not generate AI-optimised content. Its LLM coverage is currently three engines, not eight or eleven. It has no SOC 2 attestation, because that is six figures of compliance overhead for a deliberately small product.
What it does do is run a five-dimensional audit in a single report — schema markup, technical AI-readiness, AI-engine probing, local SEO including Google Business Profile, and source-presence — with industry-specific prompts in German, deliver the output as an artefact you can read in fifteen minutes, and offer a re-scan in eight weeks to verify the fixes worked. That sequence is closer to what a senior consultant produces in a discovery week than to what any of the fourteen SaaS tools above output, and it is priced and positioned to match.
How to actually choose
If you are a CMO at a 1000+ employee company with a dedicated AI budget and a procurement process, look at Profound first. If you are a 50-to-200-person Mittelstand company with a marketing team that already runs Semrush, add the AI Visibility Toolkit for $99 a month and stop there until the data tells you to do more. If you are a German company where the DPO will have a strong opinion on data transfers, talk to Peec AI before talking to any US vendor. If you want a free first read to see whether this is even a real problem for your domain, use Cloudflare's isitagentready.com plus the HubSpot Grader together — they overlap in interesting ways. If you want a one-off Done-For-You audit with the local-SEO dimension included and a German-speaking practitioner who has run this exact playbook on six brands recently, talk to us at produktentdecker.com/ai-visibility. If you need to generate AI-optimised content in addition to measuring it, Goodie or Writesonic Basic-and-above are the credible options.
The thing nobody in the category will tell you, and that I will: most companies do not need more than one of these tools, and many do not need any of them yet. The fix for most Mittelstand sites is two or three structural changes — schema, robots, a Wikipedia article — and then a measurement habit. The measurement habit can be the cheapest tool in the list. It is the structural changes that matter, and there is no $5000-a-month dashboard that will make them happen on your behalf.