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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesChoose an LLM visibility tracker based on what you need to measure—brand mentions, cited URLs, or another signal—and whether its coverage and reporting fit your workflow. A fixed weekly prompt log can be enough for a small team; software becomes more compelling when manual checks, client reporting, or broader coverage justify the cost.
What an LLM visibility tracker can—and cannot—tell you
“AI visibility” describes several different outcomes. A brand might be named in an answer, a website might be cited as a source, a person might click through to that site, or an AI crawler might be able to access its content. These are not interchangeable measurements: a mention or citation report does not, by itself, establish visits or crawler access. TechRadar Pro’s June 2026 guide discusses tracking visibility in AI search results; use a tracker that measures the signal behind your actual question, rather than treating every visibility metric as a proxy for the others. Read TechRadar Pro’s guide.
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Tools also differ in the answer surfaces they cover, how they collect responses, and whether they expose source URLs, competitors, sentiment, raw answers, exports, or recommendations. A documented feature is evidence that a vendor says it offers that feature—not independent proof that its results are accurate. GeoSalience’s October 2026 comparison explicitly describes documented product fit, not product-quality testing. See its comparison methodology and market snapshot.
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GeoSalience says it reviewed pricing pages and documentation for 35 platforms on October 3, 2026. In its defined scenario—50 prompts across ChatGPT, Perplexity, and Google AI Overviews, checked weekly—17 tools published a flat price. Those prices ranged from $50 to $599 per month, with a reported median of $129. For a much broader scenario—500 prompts across eight engines, checked daily in three countries—none of the 35 published a price. These figures describe that publisher’s reviewed set and scenarios; they are not a census of every vendor or a like-for-like product ranking. GeoSalience’s dated comparison.
#1 Best Overall
The collection methods reported in that review also vary: 11 tools said they captured consumer-facing interfaces, 11 used mixed methods, three used official APIs, and 10 did not disclose their method. Its documented engine coverage ranged from 35 tools for ChatGPT and 34 for Perplexity to 19 for Microsoft Copilot, 15 for Grok, and nine for Meta AI. Coverage counts do not establish equal depth, geography, language, or collection quality.
The available snapshots do not support a defensible product-by-product comparison of 15 named tools: they identify some products and prices, but do not provide consistent details for 15 candidates across prompts, engines, methods, metrics, and workflow features. Rather than imply a complete leaderboard, the table below shows the named price observations that are available and keeps their scopes and sources visible.
Published price observations are not equivalent plans
The table is a record of reported examples, not a recommendation or current quote. The two comparison pages used different dates and may describe different plans or usage. Check the vendor’s own pricing page for the current plan, billing basis, included usage, and limits before comparing costs.
| Product | Published observation | Source and qualification |
|---|---|---|
| SE Visible | $99 for a specified daily plan | GeoSalience’s comparison, based on pages and documentation read October 3, 2026. The excerpted observation does not establish that its plan matches the 50-prompt weekly scenario. |
| Peec AI | Agency plans from $245 | GeoSalience, October 3, 2026. A separate vendor-authored comparison lists $95 per month as of its October 2, 2026 pricing-page check; the plan scopes are not established as equivalent. |
| Ahrefs Brand Radar | Custom prompt tracking from $50 | GeoSalience, October 3, 2026. A separate vendor-authored comparison lists Ahrefs own-prompt tracking from $129 per month as of October 2, 2026; the observations are not established as the same plan or usage. |
| Semrush AI Visibility Toolkit | $99 per domain | GeoSalience, October 3, 2026. |
| AthenaHQ | $295 for a Starter plan | GeoSalience, October 3, 2026. |
| SE Ranking AI Search add-on | $89 per month, on top of Core | Honeyb’s vendor-authored comparison, whose pricing-page checks were reportedly made October 2, 2026. |
| Scrunch | $250 per month | Honeyb’s vendor-authored comparison, October 2, 2026. |
GeoSalience says none of the 35 reviewed platforms published enterprise pricing. Honeyb’s comparison is vendor-authored and includes its own product, so treat its figures as a secondary snapshot, not an independent validation. Frase’s September 2026 product guide is also vendor-published; it notes that a low entry price or prompt allowance may still require other tools, seats, and staff time. Honeyb’s comparison and Frase’s guide.
How to compare trackers for your use case
Compare plans against the same workload. A low monthly price can be misleading if it covers fewer prompts, less frequent runs, fewer engines, or fewer users than the alternative. Record these details for each candidate:
- Surfaces and geography: Which assistants and search experiences are included, and which countries and languages are documented? Check whether the product covers the surfaces your audience uses, not just a headline engine count.
- Collection method: Does the vendor describe consumer-interface capture, an official API, another API, a mix, or no method? Do not assume that results from unlike collection methods measure the same thing.
- Prompt and run limits: Does the plan support your custom prompts or use a vendor-selected query set? Note whether the allowance counts prompts, answers, or credits; how often checks run; how much history is retained; and whether results can be repeated consistently.
- Evidence and metrics: Can you inspect raw answers and source URLs? Does the product report mentions, citations, competitors, sentiment, or share of voice, and can you export the underlying data?
- Workflow fit: Count brands, projects, clients, and users. Check for agency workspaces, white-label reports, dashboards, alerts, APIs, integrations, audits, recommendations, and content workflows that your team would actually use.
- Total operating cost: Include recurring charges, included usage, overages, add-ons, required companion tools, and staff time. Record the date and region of any price check, and whether enterprise terms require a quote.
- Evidence quality: Separate vendor documentation from independent testing. For a test, look for the prompt set, engines, geography, model or version context, dates, sample size, scoring method, and stated limits.
GeoSalience reported that the lowest published rate per 1,000 answer checks ranged from $1.41 to $102.68 across 23 tools—a 73-fold spread. That is a reason to inspect what an “answer check” includes, not a standalone measure of value: volume alone does not show whether the tool covers the right surfaces or provides usable evidence. The comparison describes its pricing scenarios and categories.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When building a prompt tracker makes sense
Start with a stable manual log
For one brand and a modest workload, start with 10–30 real buyer questions, run them on a fixed weekly schedule across the relevant assistants, and save the date, surface, prompt, raw answer, brand mention, and cited URLs in a spreadsheet. Keep the prompt set stable so you can inspect changes over time; an individual answer can vary between runs. The 10–30 prompt range is a practical starting suggestion from TechRadar Pro’s guide, not a universal threshold for when to buy software. TechRadar Pro’s workflow guidance.
Automate only the work you can maintain
A basic custom workflow can read prompts from a sheet, send them to model APIs, check the responses for a brand, and save the results. This gives a team control over its prompt set and reporting, but it also takes ongoing work to collect responses, normalize different outputs, parse answers, preserve history, and handle model or version changes. The cost is not just API usage: include the time required to build and maintain the process.
Buy when the workflow justifies it
A paid tracker is more compelling when manual collection is consuming meaningful staff time, several brands or clients need consistent reports, broad surface coverage matters, or built-in source analysis, exports, alerts, APIs, and recommendations are worth the full subscription cost. The reviewed comparisons do not establish a universal number of prompts, brands, or hours at which a subscription becomes cheaper than building.
Keep the results interpretable as models change
Before-and-after results may stop being comparable when a model, search experience, or collection method changes. Preserve timestamps and context notes, and run a new baseline when a relevant change occurs. Prices and plan limits also move; date each price check and verify it on the vendor’s official page.
A third-party comparison describes one benchmark using a 150-prompt panel across five assistants every 48 hours for four weeks, with 300 raw answers hand-scored. Its publisher says the window cannot establish seasonal effects or behavior on later model versions; close scores may be ties at the sample’s resolution, and some vendor claims could not be independently confirmed. Treat those results as evidence from that test design and period, not a permanent ranking. Read the benchmark and its stated caveats.
Use Google Search Console as a complement, not a substitute
TechRadar Pro’s June 2026 guide describes a generative-AI report in Google Search Console with impressions by page, country, device, and date. It also says the rollout was limited at publication and the report then lacked click and query data and combined AI surfaces. Those details are time-bound, so check Google’s current documentation before relying on them. A Google-specific report is not a substitute for tracking brand prompts across multiple assistants. See the dated guide.
Quick Recap
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