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    Published July 6, 20268 min read

    AI Visibility Software Pricing: What the Tools Cost in 2026

    One pricing table for the nine AI visibility tools buyers shortlist most, what sits behind each number, and why the volatility of AI answers should cap what you pay.

    Matiss Katanenko

    Matiss Katanenko

    Co-founder, Honeyb

    AI Visibility Software Pricing: What the Tools Cost in 2026

    AI visibility tools all promise the same read: whether ChatGPT, Gemini, Perplexity and Claude mention your brand when someone asks. The prices for that read span two orders of magnitude, from a free checker to enterprise contracts in the thousands per month. This piece is a single pricing reference for the nine tools buyers shortlist most in 2026, what sits behind each number, and how to avoid paying for a precision that the AI answers themselves will not hold still for. Honeyb is our own product, so we list it first and say so plainly. Every price below is drawn from the vendors' public plans and pages, and every data figure is cited to its source.

    If you are still building a shortlist rather than comparing prices, start with the best AI visibility tools and the best AI brand monitoring tools. This page assumes you already know roughly what these tools do and want to know what they cost.

    The 2026 AI visibility pricing table

    Nine tools, one table. "Starting price" is the entry paid plan where a vendor publishes one; some sell only through a demo or a custom quote, and that is noted rather than guessed.

    ToolStarting priceFree entryBilling / access model
    Honeyb (ours)Free check, then paid plansFree check, no cardSelf-serve; all four models daily, sentiment, citations, competitor tracking, recommendations
    ProfoundFrom ~$399/mo, rises into the thousandsDemo onlySales-led; deepest analytics, API access, white-label; backed by $155M funding
    Otterly AIFrom $29/moFree trialSelf-serve; Gartner Cool Vendor, 4.9 on G2
    Peec AIFrom ~$89/moTrialSelf-serve; multilingual
    SE RankingFrom ~$55/moNo-card trialAI visibility inside a broader SEO suite
    Semrush AI VisibilityAdd-on to the Semrush suiteFree checkerAdd-on to an existing Semrush subscription
    AthenaHQFrom ~$295/moFree 10-minute auditSelf-serve; GEO workflows built for teams
    Ahrefs Brand RadarIncluded on Ahrefs plansOn Ahrefs plansBundled; AI share of voice and mentions
    Scrunch AICustom pricingContact salesSales-led; AEO-focused

    Two patterns fall out of the table. Self-serve tools publish a number you can act on in an afternoon, and they cluster between $29 and roughly $295 a month. The tools aimed at larger buyers, Profound and Scrunch AI, route you through a conversation instead of a checkout, which is usually a sign that the entry price and the true price are different figures.

    Monthly searches (US)

    Rising demand for AI search optimisation terms

    Monthly US search volume for four AI search optimisation queries. All four trended up over the period as brands began treating AI visibility as a discipline. Source: Google Ads search volume, June 2025 to May 2026, retrieved via DataForSEO.

    The market is priced against a rising tide. Search interest in optimising for AI answers has climbed steadily, which is why nine credible vendors now compete for the same buyers. It also means new plans and repackaged tiers appear often, so treat any single number as a starting point rather than a fixed quote.

    What you are actually paying for

    Underneath the pricing sits one real cost driver: how many AI models a tool queries, how often, and whether it can show you the sources behind an answer. Querying ChatGPT, Gemini, Perplexity and Claude on a daily cadence is more expensive to run than a weekly check against one model, and pricing reflects that. When you compare two plans at similar prices, the model coverage and refresh frequency usually explain the gap better than the feature list does.

    Citations are the other line item worth scrutinising. ChatGPT and Gemini often hide the sources behind their answers, while Perplexity and Claude expose theirs consistently (Semrush). A tool that reconstructs citations across all four models is doing harder work than one that simply reports a mention count, and that work is a large part of what separates a $29 plan from a $399 one. It matters because 62% of AI citations never name the brand behind them (Semrush), so a mention count alone can miss most of your actual influence. For the method behind that number, see how to monitor AI brand mentions.

    The higher tiers add analytics depth, API access and white-label output rather than more models. Profound sits at that end, with the deepest analytics and white-label delivery among the nine. If those specific capabilities are not on your requirements list, you are unlikely to get value from the price step up to reach them.

    The free ways to start

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    Free AI Check

    You do not need a paid contract to get a first reading. Five of the nine tools offer a genuine free entry point: Honeyb runs a free AI visibility check with no card, Semrush AI Visibility includes a free checker, AthenaHQ offers a free 10-minute audit, and Otterly AI, Peec AI and SE Ranking all run trials (SE Ranking's needs no card). That is enough to establish a baseline across the four models and decide whether a recurring spend is justified before you commit to one. If you are testing purely against ChatGPT to start, the ChatGPT brand monitoring tools roundup narrows it further.

    Price by who you are

    BuyerTypical monthly spendTools that fitWhat you are optimising for
    SMB / solo$0 to ~$90Honeyb free check, Otterly ($29), SE Ranking (~$55), Peec (~$89)A reliable baseline across models at the lowest cost
    Mid-market / in-house~$90 to ~$300AthenaHQ (~$295), Semrush add-on, Ahrefs Brand RadarWorkflows and share-of-voice tracking your team acts on
    Enterprise~$399 into the thousandsProfoundAPI, white-label, deepest analytics
    AgencyVaries by toolProfound for white-label, exports from othersReporting you can put a client's name on

    SMB and solo operators should start free and stay cheap. A single-model manual spot check is nearly worthless here because the same AI query changes roughly 70% of the time (SparkToro), so you need a tool that queries repeatedly rather than a bigger budget. Honeyb's free check, Otterly at $29, SE Ranking at about $55 and Peec at about $89 all give you a repeatable baseline well under $100 a month.

    Mid-market and in-house teams are buying a workflow, not just a number. AthenaHQ from about $295 is built around GEO workflows for teams, the Semrush add-on suits anyone already inside that suite, and Ahrefs Brand Radar makes sense if you hold an Ahrefs plan and want AI share of voice alongside your existing link and keyword data. If measuring that share of voice is the core job, how to measure AI share of voice covers the method that these tools automate.

    Enterprise is where the price genuinely climbs. Profound starts at around $399 and rises into the thousands, in exchange for the deepest analytics of the nine, API access and white-label delivery, backed by $155M in funding. If you are weighing that spend, Honeyb vs Profound sets the two side by side. Agencies are a distinct case again: the deciding factor is white-label output and multi-brand reporting rather than the headline price, since you are reselling the read to clients. We cover the agency setup in more depth on the agencies page, and brand mention tracking tools and AI sentiment tracking platforms both matter when the deliverable is a client report.

    Do not overpay: the answers keep moving

    The strongest argument against buying the most expensive plan is that AI answers are volatile enough to blunt fine-grained precision. Two identical queries return the same brand list under a 1-in-100 chance (SparkToro), and the sources themselves churn hard: Reddit's share of ChatGPT citations fell from around 60% to roughly 10% in a fortnight in late 2025 (Semrush). Even Reddit, the single most-cited source across AI at 40.1% of all citations (Semrush), is not a fixed target. Paying enterprise money to measure a moving object to three decimal places is rarely worth it for a smaller brand.

    The practical takeaway: buy the cheapest tier that queries all four models on a regular cadence, and spend the difference on the inputs that actually move the needle. AI visibility correlates most with third-party mentions and video, not on-page work (Ahrefs), so the money is often better placed on earned coverage than on a premium dashboard. Upgrade only when a specific capability, API access, white-label reporting or genuinely deeper analytics, maps to a job you can name. To pressure-test how a plan reports competitors before you commit, the AI search competitive analysis tools roundup shows what good looks like.

    Start with a free check

    Before you compare quotes, get a baseline. Run a free AI visibility check across ChatGPT, Gemini, Perplexity and Claude, no card required, and see where your brand actually stands. That number tells you far more about which price tier you need than any pricing page will.

    Frequently asked questions

    How much does AI visibility software cost in 2026?

    It ranges from free to thousands of dollars a month. Self-serve tools cluster between $29 and about $295 monthly: Otterly AI from $29, SE Ranking from about $55, Peec AI from about $89 and AthenaHQ from about $295. Enterprise-grade Profound starts at around $399 and rises into the thousands. Several tools, including Honeyb, offer a free entry point.

    Is there a free AI visibility tool?

    Yes. Honeyb runs a free check with no card, Semrush AI Visibility includes a free checker, and AthenaHQ offers a free 10-minute audit. Otterly AI, Peec AI and SE Ranking all run trials, and SE Ranking's needs no card. A free check is enough to establish a baseline across the four main AI models before you pay for anything.

    Why is enterprise AI visibility software so much more expensive?

    The step up mostly buys analytics depth, API access and white-label reporting rather than more AI models. Profound, for example, offers the deepest analytics of the nine tools plus white-label delivery, and it is backed by $155M in funding. If those specific capabilities are not on your requirements list, the extra cost is hard to justify.

    Do I need a paid tool or can I check AI answers manually?

    Manual spot checks are unreliable because the same AI query changes roughly 70% of the time, and two identical queries return the same brand list under a 1-in-100 chance (SparkToro). A tool that queries repeatedly across models gives you a stable baseline that a one-off manual check cannot. You can start with a free check rather than a paid plan.

    Which AI visibility tools show the citation sources behind an answer?

    It depends partly on the underlying models. ChatGPT and Gemini often hide their citations, while Perplexity and Claude expose theirs consistently (Semrush). Tools that reconstruct citations across all four models do more work than those that report a raw mention count, which matters because 62% of AI citations never name the brand behind them (Semrush).

    Matiss Katanenko

    About the author

    Matiss Katanenko

    Co-founder, Honeyb

    My name is Matiss Katanenko and I co-founded Honeyb, the AI visibility platform that tracks how ChatGPT, Gemini, Claude, Perplexity and the other major AI engines talk about brands. I'm based in Riga, Latvia. Before Honeyb I spent years on the agency side running SEO and content programs for fast-growing brands across the US and Europe. That work is where I watched AI search start to compress the entire discovery channel into a four-brand short list, and decided to build the tool I wished agencies had. In my free time I'm in the sauna, on a padel court, or behind a drum kit.

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