You typed one of your core buyer questions into ChatGPT last week, and a competitor showed up instead of you. That stung. Now leadership is asking what your AI search strategy is, and you do not have a clean answer yet.
Here is the good news. You do not need to boil the ocean. You need one tool that can monitor AI answers industry wide, across every meaningful question buyers ask in your space, not just the handful of moments your brand name happens to appear.
That distinction is the whole point of this guide. A brand-mention alert tells you when an answer says your name. Useful, but narrow. What you actually want is to see the entire category: which brands win each question, which sources get cited, and where the gaps are that you could close. That is industry AI search monitoring, and it is a different job than watching your own name.
This roundup covers four tools that do that job well: DeepSmith, Profound, Otterly AI, and NetRanks. We put DeepSmith first, and we will show you exactly why, honestly, including where a competitor is the better fit for you. Take a breath. By the end, you will know which one to trial.
Why category monitoring beats a brand alert
Here is the shift worth sitting with for a second. Your buyers are not typing your brand name into ChatGPT. They are asking about the problem they have, the category they are shopping, the comparison they are weighing. If you only watch for your own name, you miss the majority of the conversation, the part where the buying decision actually forms.
Category and topic monitoring flips that. Instead of one alert per name-drop, you get a live map of every question that matters in your space, and you see who is winning each one. That is the difference between knowing you were mentioned and knowing whether you are competitive. So when you compare tools below, judge each one on how well it does that broader job, not on how fast it pings you.
How we chose these tools
Let's be clear about the bar, because the criteria are what make a roundup worth trusting.
A tool earned a spot only if it can do all three of these things.
- Track non-branded, topic-level prompts in your category, not just whether your brand string appears in an answer. This is the heart of true topic level AI monitoring.
- Cover at least four of the five major AI surfaces: ChatGPT, Perplexity, Gemini, Claude, and Google AI Mode or Google AI Overviews.
- Show which brands and which cited sources are winning each prompt, through share of voice, a competitor leaderboard, and source analysis.
A tool that only fires brand-mention alerts did not qualify. Neither did a one-time audit snapshot, or a tracker that watches a single engine. If you want alerts for name changes, that is a different roundup. This one is about seeing the whole competitive category.
We gave extra credit for a few things that make a tool more useful once it is in your stack: built-in content production that closes the gaps the tracker finds, server-side crawler analytics, transparent public pricing, and a free trial so you can test before you pay.
The four tools at a glance
Here is the quick comparison. Details on each follow below.
| # | Tool | Starts at | Engine breadth | Topic and category prompts | Tracked prompts by tier | Action loop | Best for |
|---|---|---|---|---|---|---|---|
| 1 | DeepSmith | $99/mo | 5 engines, scales by tier | Yes, a dedicated Topics module | 50 to 200 to custom | Built-in production plus scheduled publishing | Teams that want tracking and content production in one product |
| 2 | Profound | $99/mo | Up to 10 on Enterprise | Yes, Prompt Volumes and Conversation Explorer | 50 to 100 to custom | Content via an Agents module, plus crawler analytics | SEO and AEO leaders who want crawler telemetry, and agencies |
| 3 | Otterly AI | $29/mo | 4 core plus 3 add-on | Yes, explicit category framing | 15 to 100 to 400 to 500+ | GEO audits and recommendations, no in-platform publish | Solo marketers and small teams at the lowest entry price |
| 4 | NetRanks | Sales-led, listed from $159/mo | 3 core, up to 5 on Enterprise | Topic sits inside Narrative Intelligence | 2 to 5 to 10 to custom | Tracking plus narrative and sentiment analysis | Teams that prioritize continuous scanning and sentiment |
All prices are per month unless noted. Annual billing lowers the effective rate where a vendor publishes one.
1. DeepSmith
Best for: content and marketing teams who want to track category-level AI answers and produce the content that closes the gaps, all in one product.
DeepSmith takes the top spot for one reason that matters more than any single feature. It is the only tool in this set that both monitors category-level prompts across engines and turns what it finds into publish-ready content on the same data. Most tools stop at the chart. DeepSmith closes the loop.
Let's walk through what that looks like.
On the tracking side, the AI Search Visibility module gives you an Overview with mention rate, citation rate, share of voice, and a visibility trend over time. A Prompts view shows every question you track, with per-prompt mention and citation rates and the full answer history. A Pages view tells you which of your own URLs get cited, how often, and which prompt drove each citation. A Competitor Citations view shows which competitor pages are winning your tracked prompts, and on which platform. That is category AI visibility tracking, not brand watching.
The piece that maps most directly to this guide is the Topics module. You track keyword clusters, not just single prompts, with capacity that scales by plan: 10 topics on Pro, 20 on Grow, 30 on Scale, custom on Enterprise. That is what makes DeepSmith a genuine vertical AEO monitoring tool. You are watching whole slices of your industry, not scattered questions.
Then there is discovery. Discover Prompts, Discover Topics, and Competitor Remix actively surface gaps you have not thought of yet. So you are not limited to the questions you already know to ask.
Now the part that sets it apart. Content Studio takes an idea all the way to a finished article, internally and externally linked, with a cover image and metadata, then publishes straight to WordPress, Strapi, Webflow, or a webhook. Autowrite can run that hands-off on a schedule. When your tracker finds a prompt you are losing, you can ship the article that wins it without switching tools. If you have ever wanted to compare tracking-only tools against ones that also write, our take on tracking AI citations vs writing them walks through the difference.
Every module draws on Deep IQ, a single store of your brand context: positioning, products, personas, brand voice, visual guidelines, and content types. So the content it produces sounds like you and talks about your real products. For agencies, Multi-Workspace runs each brand in an isolated space with its own context, content, and plan.
Pricing is public and simple. Pro is $99 a month ($80 effective on annual) with 20 articles, 50 tracked prompts, 5 seats, and ChatGPT tracking. Grow is $199 ($160 annual) with 40 articles, 100 prompts, 7 seats, and ChatGPT plus Perplexity. Scale is $399 ($299 annual) with 90 articles, 200 prompts, 10 seats, and ChatGPT, Perplexity, and Gemini. Enterprise is custom and covers all five engines, with 1:1 onboarding and a dedicated account manager. There is a 7-day free trial with real data and real drafts, and no long-term contracts.
The honest limitation: the topic layer still asks you to think through which clusters matter to your business. Discover Topics helps, but if you have never mapped your keyword clusters at all, you may want to start with Profound's broader prompt discovery or Otterly's cheaper entry point before you scale into topic-based production. Engine coverage also rises with tier by design, so Pro is ChatGPT only.
2. Profound
Best for: SEO and AEO leaders who want deep prompt discovery and server-side crawler data, plus agencies running many client workspaces.
If you do not yet know which prompts to track, Profound is arguably the best place to start. Its Prompt Volumes surface millions of real prompts people ask AI about a category, which is the most aggressive category-discovery dataset in the market. Its Conversation Explorer digs into the questions buyers actually ask in your space. That makes it a strong on-ramp for teams still figuring out their prompt map.
Profound's other standout is Agent Analytics. This is server-side crawler telemetry, deployed at the edge through Cloudflare, Vercel, Fastly, or a direct server integration rather than a JavaScript pixel. It records visits from the crawlers run by OpenAI, Anthropic, Google, Perplexity, Microsoft, and others, and reports page-level visibility, content gap detection, crawl events, and even geographic distribution of AI access. If your citation source mix depends on whether bots can reach your pages, this is telemetry no one else here offers.
Answer Engine Insights handles per-prompt visibility with per-platform breakdowns. An Agents module produces content, with runs that consume credits, and the credit model is refreshingly honest about the cost of automation. There is also a separate Shopping surface for product-comparison prompts, which is handy if you are a retail or PIM brand where those queries drive revenue. As industry AI search monitoring goes, this is a deep, data-first approach.
Pricing starts at $99 a month for Starter, billed monthly ($82.50 effective on annual), covering 50 tracked prompts on ChatGPT with 100 credits and one workspace. Growth is $399 a month, covering 100 prompts across ChatGPT, Perplexity, and Google AI Overviews with 400 credits and five workspaces. Agency Growth and Enterprise are sales-led, and Enterprise reaches up to 10 answer engines. Note that some annual figures above Starter are described rather than listed precisely on the public page.
The honest limitation: content production is a credit-consuming action inside an Agents module, not an integrated production engine with a calendar. If you want tracking and publishing to live in the same product, you will feel that seam. Pricing transparency also thins out above the Growth tier.
3. Otterly AI
Best for: solo marketers and small teams who want the lowest entry price and are comfortable with prompt-first tracking.
Otterly AI makes the cleanest case for this article's framing, because its whole product speaks the language of category and industry prompts. Its Prompt Research discovers the questions buyers ask AI in your space, with volume and intent patterns. Its AI Search Analytics tracks mentions, citations, and share of voice across engines, with per-prompt history and per-platform breakdowns.
For teams that already have a writing workflow, the AI Search Optimization module produces GEO audits and recommendations you can act on. GEO URL Audits score how indexable and citation-worthy a given page is. Brand Reports run on a schedule or on demand, and an AI Keyword Research layer pairs with the prompt layer so your keyword and prompt views line up. It is a practical way to get a list of what to fix and what to write next, which is the kind of topic level AI monitoring a lean team can actually keep up with.
The headline draw is price. Lite is $29 a month for 15 prompts across four core engines: ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot. Standard is $189 for 100 prompts, and Premium is $489 for 400. Claude, Google AI-Mode, and Gemini are available as paid add-ons across tiers. There is a free trial, and no credit card is required to start.
The honest limitation: no in-platform publishing. Otterly gives you audits and recommendations, not finished articles that ship to your CMS. If you want tracking and production in one tool, that gap will show. Its default engine coverage is also four, with the other three billed as add-ons rather than bundled.
4. NetRanks
Best for: teams that prioritize continuous scanning and a narrative view of how AI talks about a brand, including sentiment and source.
NetRanks earns its slot on a genuinely different strength: Narrative Intelligence. Beyond who gets mentioned, it analyzes the sentiment, topic, and source of AI answers about a brand over time. For companies in regulated or sentiment-sensitive categories, like CPG, pharma, or finance, that layer can be worth more than a longer prompt list. Its headline capability is continuous LLM scanning at scale, with real-time monitoring and alerts, and the vendor points to millions of AI answers scanned as evidence of that reach. If you value depth of source and sentiment analysis over raw prompt breadth, it works less like a broad vertical AEO monitoring tool and more like a listening post for how AI describes you.
Its tiers are Visibility, Optimization, Optimization Pro, and Enterprise. Optimization Pro covers three of the five key engines: ChatGPT, Perplexity, and Gemini. Topic appears as one of the dimensions tracked inside Narrative Intelligence.
The honest limitation, and it is a real one: prompt caps at the entry tiers are low, at 2 prompts on Visibility and 5 on Optimization, which makes it hard to monitor a full category before you reach Optimization Pro or Enterprise. Pricing is also the least transparent of the four. The vendor page routes you to book a call, and third-party listings show a starting price around $159 a month with an Enterprise line near $799, so you cannot compare tier by tier on the vendor's own page. There is no content production loop either; NetRanks is monitoring and analysis, not a content engine.
Honorable mentions
These did not make the top four, but each is a credible pick for a specific situation.
Peec AI gives marketing teams and SEO agencies a clean per-project, per-country view with Looker, API, and SSO integrations. Pricing is sales-led. LLMrefs offers the broadest engine coverage at the lowest published price, a single all-in plan at $79 a month across nine listed engines, though it has less brand-context depth and no publishing. Quattr fuses GEO tracking into an existing technical SEO platform. Evertune targets Fortune 500 brands that need multi-region, multi-model source attribution with brand index and sentiment tracking. Writesonic adds a tracking layer for teams already paying for its AI content tools. Scrunch AI leans toward shipping AI-readable site structure changes, not just monitoring them. Rankscale offers an AI Readiness diagnostic for technical SEO teams, and AthenaHQ and Bluefish round out the field with lighter competitor benchmarking and integrations into tools like GA4 and Slack. None of these is a full category AI visibility tracking system on its own, but each earns a look for the scenario it fits.
How to choose the right one for you
Not sure where to start? Match the tool to your real situation, not to the longest feature list. The best way to monitor AI answers industry wide is the one you will actually keep using, so weight fit and workflow over feature counts.
Pick DeepSmith if you want to track category-level AI answers and produce the content that closes the gaps in one product, without stitching a tracker to a separate writing tool. It fits teams that already publish and want the loop closed.
Pick Profound if your first problem is not knowing which prompts to track, or if server-side crawler telemetry matters because your citations depend on bot access. It is also strong for agencies with many workspaces.
Pick Otterly AI if budget is the deciding factor and you already have a writing workflow. At $29 a month, it is the easiest yes for a solo marketer who just wants audits and a prompt list.
Pick NetRanks if narrative and sentiment analysis matter more than a broad prompt list, which is often the case in regulated or reputation-sensitive categories.
One more tip. Before you commit, map the prompts you care about and pressure-test each tool against them. A short list of the exact questions your buyers ask will tell you more in a trial than any demo. When you are ready to go deeper on choosing, our guide to mapping and prioritizing the prompts that drive AI discovery is a good next read. Our broader roundup of AEO tools to track AI citations covers adjacent options.
If closing the loop is what you are after, DeepSmith is built for exactly that: see where you show up in AI answers, find the gaps, and close them with on-brand content. You can start a free trial and get real data and real drafts before you pay. One small step this week beats a perfect plan next quarter.
