Which tools show competitor visibility in LLM responses?
Which tools show competitor visibility in LLM responses, and how we use competitor data on client programs to find the content and sources that put rivals ahead.
Almost every client's first real question about AI visibility is about competitors. Not "are we mentioned" but "who is mentioned instead of us." The answer shapes the whole program.
Here is what we look for in a tool that shows competitor visibility in LLM responses, and how we use the data.
Why a rival leaderboard is not enough
Most tools can produce a table of brands ranked by mention rate. It is a fair start and not much more. What clients actually need to know is which competitor wins which topic, on which engine, for which kind of buyer, and what is driving it. A leaderboard does not answer those, and clients quickly ask the follow-up questions.
What we look for
- A stable competitor set, with auto-discovery for brands the engines name that nobody listed.
- Share of voice and position, not only mention counts.
- Cuts by engine, topic and country.
- Source data: the pages and domains behind the rival's lead.
- Stored answers we can read.
- Rival page tracking, so we spot when a competitor's content begins to earn citations.
How we do it in Promptwatch
Client programs run on Promptwatch. The competitor workflow looks like this.
Competitor setup. We list rivals with the client, then let auto-discovery add brands the engines surface. Brand aliases and brand merging keep names clean so one rival does not appear as three entities. The Brand Book sets what counts as a mention.
Competitor heatmaps. A heatmap compares any two dimensions: brands against models, topics or countries. It is usually the first slide in a client review because it shows at once where a rival is strong. A/B period comparison shows what changed after an action.
Position and share of voice. We report both, plus the per-response Sentiment score, since a rival named with caveats is different from one recommended first.
Citation analytics. This explains the lead. For each prompt a rival wins, we check which pages and domains the engine cited. Page Tracker lets us follow specific URLs, ours or the competitor's. Reddit, YouTube and LinkedIn citation reports show whether community threads or videos are doing the persuading.
Query fan-outs. Per model, these show the sub-queries the engine ran before answering. They often reveal the attributes the engine is comparing, which tells us what content to build.
Content gap analysis. Coverage scores show the prompts where competitors appear and we do not, which becomes the content roadmap. The Answer Gap Report approach is how agencies like Monks use it for client roadmaps, per Promptwatch's own published case study.
Ads Radar. On Business and on every agency plan, it captures sponsored ads inside ChatGPT Search, Google AI Overviews and Google AI Mode answers to tracked prompts: advertiser, copy, target URL and the triggering prompt. It does not cover Perplexity. It shows which competitors are paying to appear on your prompts.
Monitoring spans ChatGPT, Google AI Overviews, Google AI Mode, Copilot, Gemini, Perplexity, Amazon Alexa and Meta AI in real interfaces, with Claude, DeepSeek, Mistral and Grok through APIs.
What the competitor data leads to
We usually find one of four situations.
- The rival owns a third-party source. A comparison article or a forum thread keeps naming them. The fix is presence on that source.
- The rival has a better page. It answers the question more directly. We refresh ours.
- We have an access problem. Crawler logs, which start on Professional, show whether AI bots reach our page at all.
- The rival is simply stronger on that topic. Then we choose battles and focus elsewhere.
Naming which situation applies is the real deliverable.
Other tools clients mention
AthenaHQ lists unlimited competitors and an action workflow, with credit-based usage. Scrunch AI adds audits and sentiment. Profound targets enterprise marketing teams. Ahrefs Brand Radar and Semrush AI Toolkit work well for suite users. Otterly.AI and Peec AI give simple competitor tracking. We use Promptwatch because the explanation layers sit in the same workspace as the leaderboard.
Cost and limits
Explore is free (10 prompts, ChatGPT only). Essential is $95 a month, Professional $245, Business $579, and agency plans run $199 to $799.
No tool can guarantee you will overtake a competitor. Answers vary run to run, and a single change may be noise. We read weeks of data before drawing conclusions.