How we make this list: we compare pricing pages, product documentation and public user reviews. Ratings come from G2, Capterra or Trustpilot, with the date we checked them.
Key takeaways
- This guide judges AI optimization platforms on one axis: analytics depth. These tools track how large language models, ChatGPT, Gemini, Perplexity, Copilot and others, mention and cite your brand, and the question here is how much real analysis sits behind the visibility score.
- Profound is the enterprise benchmark for depth: citation level data, prompt level tracking and exports an analyst can work in. Peec AI is the mid market analyst's favourite for clean, honest reporting.
- No platform here can guarantee visibility in AI answers, and none should claim to. Models change weekly, answers vary by user and region, and the data is sampled, not census.
- Depth means: which prompts, which sources the models cite, how sentiment and share of voice move, and what your content team should do next. A single visibility percentage is a wallpaper metric.
Quick comparison
| Tool | Best for | Starting price | Free plan |
|---|
 Profound | Deepest enterprise analytics and citations | See website | No |
 Peec AI | Analyst grade reporting for mid market teams | See website | No |
 Otterly.AI | Accessible tracking with content audit depth | See website | No |
 Evertune | Brand level AI search analytics for big brands | See website | No |
 Goodie AI | Analytics tied to optimisation actions | See website | No |
 AthenaHQ | Citation and prompt analytics with guidance | See website | No |
 Bluefish AI | Enterprise brand controls and deep monitoring | See website | No |
 Semrush AI Visibility Toolkit | AI data inside a full SEO analytics suite | See website | No |
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#1Profound
Best for: Deepest enterprise analytics and citations4.6/5 on
G2 (640 reviews, checked Oct 2026)
Visit tryprofound.com
Starting priceSee website
Free planNo
Profound leads on the axis this guide measures because its analytics go furthest below the headline score: which prompts, which citations, which competitors, which sources the models keep returning to in your category, and how each moves. That citation layer is where strategy actually comes from, because it tells a content team what to publish and what to earn coverage on. Large brands with an analyst to work the data will find Profound the most complete instrument here. Everyone should copy its pilot test: take fifty of your buyers' real questions, and compare what each platform shows you about them.
What we like- The depth benchmark: prompt level tracking across the major answer engines with citation level detail on the sources models use, conversation and category analysis that shows the questions driving visibility, not just the score, data exports and an analyst friendly structure that survives scrutiny from a data team, enterprise adoption by large brands gives its dataset and roadmap momentum
Watch out for- Enterprise pricing and sales process, as expected at this depth, depth demands an analyst: a small team will use a tenth of it, no platform, including this one, can stabilise answers that the models themselves vary
#2Peec AI
Best for: Analyst grade reporting for mid market teams4.7/5 on
G2 (21 reviews, checked Oct 2026)
Visit peec.ai
Starting priceSee website
Free planNo
Peec is the analyst's value pick: the platform whose charts a sceptic trusts, because its methodology is visible and its prompt level data is exportable and sane. For a mid market brand or an agency reporting to several clients, it delivers most of the depth that matters at a fraction of the enterprise cost. Its honest limit is the last mile: Peec measures beautifully and advises lightly, so the strategy work sits with your team. Teams with an analyst and without an enterprise budget should start the depth comparison here.
What we like- Clean, credible analytics: visibility, position and sentiment across models with prompt sets you define, built by a European team with a data first culture that shows in the reporting, multi brand and multi market handling suits agencies and portfolio teams, pricing tiers reachable for mid market companies, unlike the enterprise pair
Watch out for- Less enterprise machinery around it: workflows, approvals and services are thinner than Profound's, its brand is younger in the US market, action guidance is lighter: it tells you the state more than the remedy
#3Otterly.AI
Best for: Accessible tracking with content audit depth4.7/5 on
G2 (54 reviews, checked Oct 2026)
Visit otterly.ai
Starting priceSee website
Free planNo
Otterly earns third on usefulness per dollar of analytical depth: it tracks the prompts, shows the citations, and adds the practical question of whether your own content is structured for the answers you want. For a small team beginning AI visibility work, it answers the first year of questions without an enterprise contract. Graduate when your prompt count, markets or board's appetite for cuts of the data outgrow it; the platform's fans tend to leave for capacity reasons, not quality ones.
What we like- One of the category's earliest trackers, with prompt monitoring across the main AI search surfaces, its AI search and content audit features connect visibility data to your own site's readiness, link and citation reporting shows the sources appearing in answers in your space, approachable pricing and setup for smaller teams
Watch out for- Depth ceiling below the leaders on very large prompt sets and enterprise cuts, reporting polish and data exports are good rather than analyst grade, brand scale features are still growing
Starting priceSee website
Free planNo
Evertune's depth is of a particular kind: perception at scale. For a consumer brand whose leadership asks what ChatGPT tells America about us, its sampling and brand metrics answer in board language. That makes it a genuine peer of Profound for the brand questions and a narrower tool for the content team's weekly work. A note this guide applies to itself: published prices for Evertune have conflicted between sources, so its entry says see website, and yours should too until a quote is in hand.
What we like- Built for brand teams at large companies: tracks how AI models describe your brand across large prompt samples, an emphasis on brand perception metrics: what the models say, not only whether they mention you, consumer brand client base in exactly the categories where AI answers steer purchases, research style reporting suited to brand leadership
Watch out for- Pricing has conflicted across published sources in our past research, so treat any figure as unconfirmed until quoted, enterprise focus prices out the mid market, its lens is brand analytics more than content operations
Starting priceSee website
Free planNo
Goodie aims at the gap Peec leaves: after the chart, what do we do. Its analytics feed suggested actions, content and source targets, which suits a lean team that needs the platform to carry some of the strategist's load. The depth is respectable rather than maximal, and that trade is honestly made. This guide repeats its standing caution on Goodie's numbers: sources have disagreed on its pricing before, so the entry carries no figure, and your diligence should take the price from a signed quote and nothing else.
What we like- Positions analytics as the start of a workflow: tracking connected to recommendations and content actions, covers the major answer engines with brand visibility and citation reporting, an AEO focused product story that suits teams wanting one vendor for measure and improve, mid market accessibility in its packaging
Watch out for- Published pricing has conflicted across sources in earlier research for this guide series, so verify every figure directly, as a younger platform, dataset history is shorter than the leaders', recommendation quality varies by category: test on your prompts
Starting priceSee website
Free planNo
AthenaHQ is the SEO team's bridge into AI analytics: its concepts, prompts, citations, share of voice, are the familiar instruments rebuilt for answer engines, with guidance layered on top. For an in house team whose SEO analysts will own AI visibility too, that continuity lowers the learning curve to nearly zero. Its depth today sits a tier below the leaders on the largest programmes; its trajectory and its audience fit earn it this place, and its pilot will tell a mid sized team most of what it needs to know.
What we like- A GEO platform with prompt and citation analytics plus an action centre framing what to do about them, monitors brand presence across the main AI answer surfaces, built by ex search industry people with a feel for how SEO teams work, suited to in house teams moving from SEO tooling into AI visibility
Watch out for- Younger platform: smaller dataset history and brand than the top entries, depth on the largest enterprise prompt sets is still being proven, pricing and packaging have evolved quickly, so confirm current terms
#7
Bluefish AI
Best for: Enterprise brand controls and deep monitoring
Visit bluefish.ai
Starting priceSee website
Free planNo
Bluefish sells depth as defence: for a bank, a health brand or an airline, the analytic question is not share of voice but accuracy, what false or risky things are the models saying about us, and where. Its monitoring is built for that register, with enterprise controls around it. That is real depth of a specialised kind. The caution is philosophical and practical: no vendor can control what a third party model generates, only measure, report and help you correct the sources models draw on, so buy Bluefish for the measuring and make it prove the rest.
What we like- An enterprise platform focused on brand control in AI: monitoring how models present your brand, with guardrail and accuracy ambitions, built for regulated and reputation sensitive industries where a wrong AI answer is a compliance event, custom prompt universes and deep monitoring for global brands, a Fortune 500 pitch with the security process to match
Watch out for- The heaviest sales process in this list, aimed at global brand budgets, its control framing can promise a tidiness the underlying models do not permit: diligence the specifics, mid market teams should not apply
#8
Semrush AI Visibility Toolkit
Best for: AI data inside a full SEO analytics suite
Visit semrush.com
Starting priceSee website
Free planNo
Semrush closes the list as the consolidation answer: imperfect depth, perfect location. A team already living in Semrush gets credible AI visibility data in the same login as its rankings, keywords and audits, and for many organisations that convenience outweighs the specialists' extra analytical horsepower. Run the same fifty prompt pilot inside it; if the answers satisfy your board's questions, the suite wins on total cost. If the board starts asking citation level questions, you have found the moment to buy a specialist, and this list is your shortlist.
What we like- AI visibility reporting inside the SEO platform many teams already run: brand mentions and citations across AI surfaces beside your search data, the combined view suits teams who refuse to manage AI and SEO as separate worlds, Semrush's data infrastructure and prompt scale are substantial, incremental cost for existing customers beats a new platform contract
Watch out for- A toolkit inside a suite is shallower than the dedicated leaders on prompt level and citation detail, Semrush pricing layers, seats, limits and add ons, need the usual careful reading, AI features are newer than its search core and evolving fast
How we chose
We ranked on analytics depth alone, as the keyword demands: prompt coverage and control, citation level analysis, competitor share of voice over time, sentiment and accuracy tracking, and data access through exports and APIs. We included the enterprise leaders, the analyst grade mid market platforms, and the suite option, and we excluded Scrunch, a known name in this category, under this project's standing never list. Prices are see website throughout, deliberately: two vendors in this field have shown conflicting published prices in our research across this project, and platform pricing pages change faster than guides do. We ran no platform for this guide; the fifty prompt pilot described below is the evaluation we recommend because it uses your buyers' questions, not ours.
How to evaluate AI analytics depth before you buy
Pilot on your buyers' real questions. Assemble fifty prompts from sales calls, search data and customer interviews, the questions whose answers steer purchases in your category, and run every finalist on the identical set. Depth reveals itself immediately: which platform shows you the citations behind each answer, the sentiment of the mention, the competitors present and the change since last month, and which shows you a score and a smile.
Interrogate the sampling. Ask how many times each prompt runs, across which models, accounts, locations and days, and how variance is reported. AI answers are probabilistic; a platform that samples thinly manufactures certainty from noise. The honest vendors explain their methodology and show confidence in ranges. The dishonest ones show a decimal point. Prefer the ranges: they are what the underlying reality looks like.
Check the citation layer, because that is where work comes from. Visibility data earns its keep when it names the sources models cite in your category, the review sites, documentation, comparison pages and publications your content and PR can actually influence. Export a month of citation data during the pilot and hand it to your content lead: if they cannot turn it into a work list in an afternoon, the depth is decorative.
Finally, price the analyst, not the platform. Deep analytics unused is the most expensive kind. The enterprise platforms assume a human whose job includes this data; smaller teams should buy the tier whose reporting they will genuinely read monthly, and spend the difference on the content the data recommends. In this category, the winning stack is a platform you understand, a prompt set you trust, and a team that acts on the citation list. Everything else is dashboard.
Frequently asked questions
What does analytics depth mean for an AI optimization platform?
It means how far below the headline visibility score the data goes: the individual prompts tracked, the sources and pages the models cite, competitor share of voice over time, sentiment and accuracy of mentions, and the ability to export and cut all of it by model, market and period. Depth is what turns a monthly screenshot into decisions for content, PR and product teams.
Can any platform guarantee my brand appears in AI answers?
No. The models are third party systems that change constantly and answer probabilistically; a vendor controls none of it. What a platform can do is measure your presence honestly, identify the sources shaping answers, and track whether your work moves the numbers. Treat a guarantee of AI visibility exactly like a guarantee of a Google ranking: as evidence about the vendor, not the future.
How many prompts should we track?
Start with the questions that carry money: the fifty to two hundred prompts your buyers ask when comparing options in your category, plus your brand's direct questions. Depth on the right prompts beats breadth on a thousand generic ones. Mature programmes expand into thousands across markets and personas, which is where the enterprise platforms earn their pricing.
Why do platforms disagree about our visibility?
Because each samples differently: different prompt phrasings, run counts, locations, accounts and models produce different pictures of a system that itself varies answer by answer. Disagreement is information about method, not proof one is lying. Fix your pilot prompt set and run method, compare platforms on it, and afterwards track trends inside one platform rather than absolutes across several.
How does AI analytics relate to our existing SEO data?
They are cousins sharing a root: the sources models cite overlap heavily with the pages search engines rank, and your content serves both. AI analytics adds the answer layer: what the model says, in whose words, citing whom. Teams usually run both, SEO for the click economy that still dominates revenue, AI analytics for the growing share of buyers whose first answer arrives already summarised.
Sources we checked (0)
Is your product missing or out of date?
We review this list regularly. Vendors can request a listing, send updated pricing or ask about featured placement.
Shihab Mia · Founder, Rankite
Shihab has 5+ years in B2B and SaaS SEO. He writes Rankite's software buying guides from pricing pages, documentation and public user reviews. More about Shihab.