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Which AI Visibility Tools Are Available Besides Ahrefs Brand Radar?

Ahrefs Brand Radar is a research database: hundreds of millions of search-backed prompts across Google's AI features, ChatGPT, Perplexity, Gemini, Copilot (new Grok collection paused), searchable for any brand, from $199 a month per platform. The tools available besides it fall into three groups: other research databases, trackers that run your own prompts on a schedule, and tools that read your buyer questions in depth and turn the findings into fixes. Kovmere, which is our product, is in the third group. Which group you need depends on whether you want to explore a market, monitor your position, or decide what to change.

What kind of tool is Brand Radar?

Brand Radar answers "who is mentioned and cited across this category?" It starts from a large index of prompts modelled on real search keywords, with data going back to 2025, and lets you look up any brand, domain or topic: mentions, cited domains and cited pages, per platform. Custom prompts can be added and tracked from monthly to daily, and Claude is available only through custom prompts. Its strength is discovery and competitor research. It is less suited to tracking a small set of questions you wrote yourself, read answer by answer.

What are the other research databases?

  • Semrush's prompt research, inside its AI Visibility Toolkit at $99 a month per domain, draws on a database of more than 300 million prompts and estimates demand by topic.
  • Similarweb's AI Search Intelligence, from $99 a month, tracks 150 prompts and adds estimated AI referral traffic for your site and competitors, from prompt data it says is drawn from actual chatbot searches.
  • SpyFu's SpyGPT, included from SpyFu's Pro + AI plan at $119 a month ($89 billed yearly), lets you search a store of answers from some 250 million questions asked of ChatGPT for your brand or competitors.
  • DataForSEO's LLM Mentions API is a searchable database of AI answers for developers, covering Google AI Overviews in all locations and ChatGPT in the US, at $0.10 per request plus $0.001 per row, with a $100 minimum top-up.

Which trackers run your own prompts?

Tool Starting price Engines Best for
Peec AI $95 a month for 50 prompts Three active from six Clear metrics and URL-level source gaps
Otterly AI $29 a month for 15 prompts ChatGPT, AI Overviews, Perplexity, Copilot; others as add-ons Low-cost daily tracking
PromptWatch $95 a month for 50 prompts Four chosen from a long list Fan-out queries, content agents on higher plans
AthenaHQ Free tier; Starter $295 Eleven models Broad coverage including Claude and Grok
Profound Agencies $99 plus $399 per client; brands by quote Up to nine on Enterprise Enterprise depth
Semrush AI Visibility Toolkit $99 a month per domain ChatGPT, AI Mode, Gemini Teams already using Semrush

Where does Kovmere fit among these?

Kovmere is neither a research database nor a broad tracker. It takes up to 20 buyer questions for one market, mostly unbranded with up to two head-to-head comparisons kept apart, and asks each three times on OpenAI, Perplexity, Google Gemini, Anthropic Claude and Google AI Overviews under US settings. The answers and the pages they cite can be read; mentions, recommendations and citations are counted separately; the most-cited pages are fetched and checked for whether they mention you; and the findings turn into fixes drafted from your own site. A Check is $19 once with no account; Pro is $49 a month with weekly readings and up to 12 fixes per billing period.

It does not search a market-wide prompt index, look up competitors outside your questions, estimate demand or cover Copilot, AI Mode or Grok.

Which should you use instead of, or alongside, Brand Radar?

  • You want market research without Ahrefs: Semrush's prompt research or Similarweb.
  • You want to search what ChatGPT has said about brands: SpyFu's SpyGPT.
  • You are building your own reporting: DataForSEO's API.
  • You want daily tracking of your own prompts: Peec AI, Otterly, PromptWatch or AthenaHQ.
  • You want to read your buyer questions in depth and get fixes: Kovmere.
  • You want enterprise depth: Profound.

Many teams pair a research database with a tracker: the database to find which questions and sources matter across the market, the tracker to watch the ones that matter to them. Our page on Kovmere vs Ahrefs Brand Radar for source-page analysis shows one such pairing.

Why might two tools disagree about the same brand?

Expect different numbers from a research database and a tracker, even for the same brand in the same week. A database such as Brand Radar counts mentions across a huge, fixed index of modelled prompts; a tracker counts mentions across the handful of prompts you chose, often asked in a different way, on different engines, at different times. Neither is wrong. Use the database to compare yourself with competitors across the market, and the tracker or an in-depth reading to follow the questions closest to your sales.

How should you choose?

  1. Decide whether you are exploring or monitoring. Exploration needs a database; monitoring needs a tracker with fixed prompts.
  2. Check whose prompts the numbers come from: a modelled index, real chatbot data, or questions you wrote.
  3. Check engine coverage against the assistants your buyers use.
  4. Check the evidence: can you read full answers and cited pages?
  5. Check what happens next: data only, recommendations, or drafted fixes.

What are the limits of each approach?

Research databases describe the market but may not match how your buyers phrase questions, and they rarely tell you what to change. Trackers depend on the prompts you choose and can produce more data than a small team reads. Kovmere covers a small basket for one market, samples engine APIs rather than consumer apps, and leaves out market-wide research. None of these tools can guarantee citations or recommendations.

What might a combined workflow look like?

A marketing lead at a mid-sized software company might spend an hour a month in a research database to see which review platforms and comparison articles dominate citations across the category, and which competitors are gaining. From that, they pick the twenty or so buyer questions that matter most to revenue and track them on a fixed schedule, reading the answers where the company loses. The cited pages from those answers become the work list: a comparison page to write, a review profile to complete, an author to approach. Each tool does the part it is good at, and the monthly report shows both the market picture and the specific changes made.

For more on Brand Radar itself, see our Brand Radar review.

What do people ask about Brand Radar alternatives?

Is there a free alternative to Brand Radar?

Ahrefs offers a free AI visibility checker based on Brand Radar's data, and Amplitude offers a free report for ChatGPT and AI Overviews. Neither matches Brand Radar's research depth.

Which alternative has the largest prompt database?

Semrush's prompt research draws on more than 300 million prompts; DataForSEO's database is of a similar order, mostly Google AI Overviews.

Can I track my own prompts in Brand Radar?

Yes, through custom prompt packages priced in checks ($50, $100 or $250 a month), which can be bought on their own or added to the platform indexes.

Does Kovmere replace Brand Radar?

No. It answers a different question: how buyer questions for your market are answered and what to fix, not who is cited across the whole market.

Published by The Kovmere Team · updated Oct 3, 2026 · More resources