Search for the AI search optimization startups with the top visibility metrics and you get a crowded field: Profound, Peec AI, Otterly, Scrunch, AthenaHQ, and a wave of newer names, plus legacy SEO suites bolting on AI modules. They mostly compete on the same handful of visibility metrics. The real difference is not the dashboard. It is whether the startup just shows you the metrics or actually moves them. Here is the landscape, sorted by that line.
The metrics the category competes on
Almost every platform in this space measures some version of the same things. Knowing the metrics is how you compare them honestly:
- Share of voice: how often your brand appears in AI answers for your category, relative to competitors.
- Citation rate and sources: how often AI cites you, and which third-party sources feed those citations.
- Mention frequency and position: how many answers name you, and whether you lead or trail in them.
- Sentiment: the attitude attached to each mention, positive, neutral, or negative.
- Prompt win rate and benchmarking: the share of target prompts where you are named, measured against rivals.
- Persona and market cuts: how visibility shifts by buyer type, language, or country.
These are the numbers the leaders advertise. For a plain-English guide to which of them actually predict revenue, see the AI visibility metrics that actually matter.
The two camps: track vs ship
The category splits cleanly in two, and almost every comparison article in the space says the same thing: measurement without action is theater. On one side are monitoring platforms that report your visibility. On the other are platforms with an action layer that also do the work to improve it.
Hold each startup up to that line and the field organizes itself.
The startups, ranked by what they do with the metrics
Profound
The funded category leader, built for enterprise teams. The broadest engine coverage in the space, deep citation and AI-crawler analytics, and the richest data transparency. Metrics strength: citation analytics, share of voice, and crawler behavior. It has begun adding an action layer, but the price, onboarding, and depth assume a large team ready to act on the data. If you are a Fortune 500 with analysts, it is the safe pick.
Peec AI
The fast-growing European mid-market analytics platform. Its differentiator is methodology: it captures what real users see rather than relying only on API calls, and it maps the citation network so you can see which sources drive your mentions. Strong competitive benchmarking and multi-country, multi-language coverage. Firmly a track tool: the insight is excellent, the execution is on you.
Otterly AI
The accessible entry point. Simple mention and citation tracking, fast setup, low cost, and a Gartner Cool Vendor nod. Metrics strength: citation-focused monitoring with a light audit layer. At the entry tier you are sampling a handful of prompts rather than measuring systematically, which is a fine way to confirm the channel matters before you invest. Monitoring first, action mostly manual.
Scrunch AI
One of the execution-first platforms. Beyond monitoring and auditing, its Agent Experience layer serves AI-optimized content directly to AI agents while leaving your human-facing site unchanged. Metrics strength: citation influence scored by persona and topic. Clearly on the ship side, with a technical, enterprise bent.
AthenaHQ
Enterprise, with particular strength in ecommerce and product-recommendation tracking and commerce integrations. A good fit for product brands that need to see how AI describes and recommends their catalog, with an action layer aimed at that use case.
The enterprise specialists: Brandlight, Bluefish, Evertune
Well-funded names serving specific niches: brand protection, statistical rigor, and large-account governance. Mostly measurement, with specialized lenses that matter if their niche is your priority.
The legacy SEO suites: Semrush, Ahrefs, SE Ranking, Conductor
AEO modules bolted onto established rank trackers. Convenient if you already pay for the suite, and useful for keeping organic and AI visibility in one view. Shallower on AI-native action than the dedicated platforms, and built on an SEO model that does not fully fit how AI recommends.
Aethon AI
The startup built on the ship side from the start. Monitoring across the major engines, plus an Action Engine that generates the content, schema, and authority to move the recommendation, not just chart it. Its Contextual AI Presence Mapping© approach targets the upstream life moments where AI forms its recommendation, rather than only the bottom-funnel prompts every tool already watches. Newer and smaller than the funded leaders, and honest about that. The trade is depth of analytics dashboards for depth of execution.
At a glance
Where Aethon fits
Aethon is not trying to out-dashboard Profound. The bet is the opposite: that for most teams, the visibility metrics are not the hard part anymore. Seeing that you are invisible is easy. Becoming visible is the work, and that is where most of the category stops.
So Aethon pairs monitoring with execution, and adds a layer almost no one else does: mapping the life moments and inferred-need questions upstream of the transaction, where AI forms its recommendation before anyone is ready to buy. That is the CAPM thesis, and it is why the product ships content and authority rather than handing you a report. For the deeper method, see how Aethon works.
How to choose
Cut through the leaderboard with three questions:
- Will your team act on the data, or do you need the tool to act? If you have analysts and a content team, a track tool is enough. If you do not, buy a ship tool or you are buying a dashboard, not an outcome.
- Which metric maps to revenue for you? For most, it is citation or recommendation rate on high-intent prompts, not raw mention counts. Optimize for the metric that moves pipeline.
- What stage are you? Enterprise teams can absorb Profound or Scrunch. Mid-market fits Peec or Otterly. Lean teams that need the work done, not just measured, are who Aethon is built for.
For the broader buyer's guide beyond startups, see the best AI visibility tools, and for the category basics, AI search optimization explained.
Frequently asked questions
What are the top AI search optimization startups in 2026?
The most cited names are Profound (the funded enterprise leader), Peec AI (fast-growing mid-market analytics), Otterly (accessible monitoring), Scrunch (execution and content delivery to AI agents), and AthenaHQ (commerce). Newer startups like Aethon focus on the action side. Legacy suites like Semrush and Ahrefs offer bolt-on AI modules.
What visibility metrics do these startups measure?
Mostly the same set: share of voice, citation rate and sources, mention frequency and position, sentiment, prompt win rate, and competitive benchmarking, often cut by persona, language, or country. The differences are in depth and methodology. See the metrics that actually matter.
What is the difference between tracking and improving AI visibility?
Tracking tools report your visibility metrics. Improving tools also do the work to move them, generating content, schema, and authority. Most of the category tracks. Watching a number rise and fall is not the same as making it rise, which is why the action layer is the real differentiator.
How is Aethon different from these startups?
Aethon is built on the action side: it pairs monitoring with an Action Engine that ships the work, and adds Contextual AI Presence Mapping© to target the upstream moments where AI forms its recommendation, not just the bottom-funnel prompts. It is newer and smaller than the funded leaders, and focused on execution over dashboards.
See your visibility, then move it
Aethon AI maps how every major engine describes your brand, scores you on the metrics that matter, and ships the work to make you the name AI recommends.