Software shortlists now form inside AI answers before any vendor hears about the deal. A buyer asks ChatGPT or Gemini for the best tool in a category, receives four names, and the sales process starts from that paragraph. Gartner projected a 25% fall in traditional search volume by 2026 as this behaviour spreads, and the measured volatility makes it stranger than most teams expect: in a July 2026 four-engine study by Honeyb, identical prompts produced a matching set of recommended brands less than half the time on ChatGPT.
So a category of software has emerged to answer two questions: what are the AI engines saying about us, and what do we do about it. This list ranks the seven platforms worth evaluating in 2026. The field splits into two types of product, measurement and action, and the ranking weights the second: a finding only matters once somebody acts on it.
How to read this list
The category splits on one axis that matters more than price: measurement platforms versus action platforms. Measurement platforms answer “what is happening” with increasing sophistication. Action platforms treat measurement as the input and answer “what should we do today”. Neither is universally better; the right pick depends on whether you have an in-house team ready to act on reports. Every entry follows the same four-part template so the platforms compare like for like.
The volatility problem, quantified
The reason this category exists at all is that AI answers are far less stable than they look. The July 2026 study underlying this article measured that instability engine by engine:
| Engine | Sources per answer | Brand overlap between identical runs | Top pick changed between runs |
|---|---|---|---|
| ChatGPT | 15.0 | 42% | 35% |
| Gemini | 10.7 | 54% | 44% |
| Claude | 8.8 | 67% | 28% |
| Perplexity | 8.3 | 61% | 43% |
July 2026, 20 buyer prompts run three times each per engine; 2,507 citations extracted.
The landing line: a brand can be recommended in the morning and absent by the afternoon without anyone changing anything, which makes one-off checks close to worthless and turns AI visibility into a statistics problem. Every platform below should be judged against that bar, because a tool that cannot show you repeated samples cannot honestly tell you where you stand.
1. Honeyb: best for teams that want the answer acted on
What it does: Tracks brand mentions, citations, share of voice and sentiment across ChatGPT, Gemini, Claude, Perplexity and Google’s AI surfaces, on a daily schedule. Each day it converts the findings into a ranked recommendation with the evidence attached, and a content engine can draft and publish what the recommendation calls for.
Standout: The action layer, plus the only check on this list of whether AI crawlers can physically reach your site.
Watch out for: A specialist in AI-answer visibility, not a rank tracker; classic SEO reporting still needs a suite.
Pricing: Free visibility check, free trial, paid plans from $29 per month.
2. Profound: the enterprise measurement benchmark
What it does: Enterprise-grade measurement of how AI engines represent a brand, with the deepest analytics in the category, an API for piping data into internal dashboards, and white-label reporting for agencies. Backed by roughly $155M in funding, it is the reference point for measurement depth at the top of the market.
Standout: Data depth and reporting infrastructure. For an analyst who lives in the numbers, nothing on this list gives more to work with.
Watch out for: Demo-only sales, enterprise pricing, and no action layer: interpretation and execution remain your team’s job.
Pricing: From around $399 per month, demo-only.
3. AthenaHQ: strong mid-market measurement
What it does: Dedicated AI visibility monitoring aimed at the mid-market, tracking how engines mention and describe a brand with a free ten-minute audit as the front door. It sits between the light entry tools and the enterprise platforms: more depth than the former, less process than the latter.
Standout: The free audit is one of the better zero-commitment first looks in the category, and the mid-market focus keeps the product straightforward.
Watch out for: Reporting-centric: what happens after the findings is your team’s job.
Pricing: From around $295 per month; free audit.
4. Peec AI: the multilingual specialist
What it does: Prompt tracking across AI engines with multilingual coverage as the core design goal: the same brand monitored across the languages your buyers actually use, in one view. For companies selling across European or global markets, that is a capability most of this list simply does not attempt.
Standout: Multilingual tracking. If your buyers prompt AI engines in German, French or Spanish, it may outrank everything above for your case.
Watch out for: Monitoring only, and English-only businesses are paying for a differentiator they will not use.
Pricing: From around $89 per month, with a trial.
5. Scrunch AI: the enterprise content-side play
What it does: Approaches AI visibility from the enterprise content-operations side, now as part of Sitecore. The pitch is integration: measurement and content workflows living inside the platform a large organisation already uses to run its site, rather than another standalone dashboard to check.
Standout: The Sitecore integration, which does real work if that is already your stack and your content team lives in it.
Watch out for: Custom pricing and an enterprise sales motion make it hard to evaluate from outside that ecosystem.
Pricing: Custom, via sales.
6. Otterly.AI: the light entry point
What it does: Scheduled prompt monitoring across the major AI surfaces: you define the questions that matter, and it checks on a schedule whether and how your brand appears in the answers, tracking changes over time. The setup is deliberately simple and a small team can be running within an afternoon.
Standout: The lowest-friction serious entry point in the category, at a price that makes experimentation painless.
Watch out for: Coverage and depth are thinner than the tools above, and it reports rather than acts.
Pricing: From $29 per month.
7. Semrush AI toolkit: the incumbent’s answer
What it does: Adds AI visibility as a module inside the SEO suite a large share of marketing teams already pay for, fronted by a free checker. One login and one invoice covering classic rankings and AI-answer presence is a genuine operational convenience, and the checker is a sensible free first look.
Standout: Suite economics: no new vendor, no new procurement conversation, and data alongside your existing SEO reporting.
Watch out for: Confirm the module tracks share of voice across engines on a schedule rather than one-off appearances; its recommendations remain classic SEO ones.
Pricing: Add-on to Semrush plans; free checker.
What an action platform actually does with a finding
Since the ranking leans on the measurement-versus-action split, it is fair to make the distinction concrete. A measurement platform surfaces a fact: your brand appeared in 3 of 30 sampled answers for your core buying question, against a competitor’s 27. An action platform takes that same fact and produces a decision with its reasoning attached: the competitor is being cited from two industry roundups you are absent from, your product pages fail the retrieval check on one engine, and the highest-leverage move this week is a specific piece of content, which it then drafts. The difference is not intelligence but ownership: one product ends its job at the chart, the other ends it at the shipped fix, and busy teams feel that difference within a month.
The field at a glance
| Tool | Free entry point | Paid from | Sampling | What happens after the scan |
|---|---|---|---|---|
| Honeyb | Free check + free trial | $29/mo | Daily scheduled scans | Ranked daily recommendation; content engine executes |
| Profound | Demo | ~$399/mo | Continuous, enterprise-grade | Reports and API; you interpret |
| AthenaHQ | Free 10-min audit | ~$295/mo | Scheduled | Reports |
| Peec AI | Trial | ~$89/mo | Scheduled, multilingual | Reports |
| Scrunch AI | Demo | Custom | Enterprise | Reports within Sitecore stack |
| Otterly.AI | Trial | $29/mo | Scheduled prompt checks | Reports |
| Semrush AI toolkit | Free checker | Add-on | Suite-integrated | Classic SEO recommendations |
Pricing and trial details from vendors’ public pages, checked July 2026; they change often, so confirm before buying.
How to run a one-week evaluation
Whichever shortlist you land on, the same seven-day test separates marketing claims from working software:
- Day 1: Write down the ten questions your real buyers ask an AI engine. Not your keywords, their questions. This prompt set is the yardstick for every tool.
- Days 2-3: Run the free tiers first. Free checkers and trials across the list will show you each tool’s evidence style before any money moves.
- Days 4-6: Check three things against your prompt set: which engines are actually covered at the tier you would pay for, whether the tool samples repeatedly or checks once, and what it tells you to do with a bad result.
- Day 7: Ask the only closing question that matters: who on your team will act on this every week? Choose the tool that matches that person’s job.
Three questions that settle the choice
Who acts on the findings? If the honest answer is “nobody has the time”, a measurement platform will become an unread dashboard by month two, and an action platform such as Honeyb is the rational pick. If you have analysts and a content team on standby, Profound’s depth pays for itself.
Which engines do your buyers use? Check tier coverage against the specific engines that matter in your market before comparing headline prices; several tools gate engines behind higher tiers.
Can you see the evidence? Given how unstable AI answers are (SparkToro measured the same query changing roughly 70% of the time), any tool worth paying for shows repeated samples and cited sources, not a single opaque score. Running a free AI visibility checker twice, a week apart, will teach you this faster than any sales deck.
The category is young, the answers are volatile, and the brands showing up in them are not there by accident. Pick the tool that matches the team you actually have, and start measuring before your competitors’ names harden into the default answer.
Frequently asked questions
Do these tools all need a paid plan to start? No. Several offer genuinely free entry points: free visibility checks and free trials are standard at the accessible end of the list, so a first read on where you stand costs nothing.
Why do results differ between two runs of the same prompt? AI answers are sampled, not looked up. SparkToro measured the same query changing roughly 70% of the time, which is why scheduled repeated sampling, not a single check, is the minimum standard for real measurement.
Can one tool replace my SEO suite? Not yet. AI visibility tools measure a different surface (synthesised answers) than rank trackers (result pages). Most teams run one of each; several suites now bundle both jobs at different depths.
