What Is the Cheapest Way to Monitor 20 Buyer Questions Across Five AI Engines Every Week?

How many answers is "20 questions, five engines, every week"?

Start by counting, because every option prices by volume:

The last design, which is the one Kovmere Pro (our own product) uses, is a common compromise: a careful baseline with repeats once a month, then lighter weekly readings to catch movement. More runs per week mostly measure the same answer's natural variation again.

How much does one full reading cost?

One reading of 20 questions across five engines, three runs each, is 300 answers. Rough costs by route:

• By hand: no fees, but collecting and logging 300 answers with their sources takes most of a working week.
• Your own scripts: OpenAI charges $10 per 1,000 web search calls plus search content tokens at model rates, Anthropic charges $10 per 1,000 searches plus tokens, and Perplexity's Search API is $5 per 1,000 requests, with its answer models billed on top. Gemini needs care: its Grounding with Google Search terms restrict caching and analysing grounded results, so read them before building a script, and check Gemini by hand if in doubt. Google's AI Overviews are not offered through an answer API at all, so they come from a search-results data provider, billed per results page. For 300 answers, the search fees land in the low single-digit dollars, before tokens and before your time.
• A one-time paid check: a fixed price for the whole reading, with the answers, sources and analysis done for you.

What are the options for weekly monitoring?

The scripted route looks cheapest until you price your own hours. Extracting which brands an answer names, matching citations to domains, handling engines that decide not to search, and keeping settings identical week after week is the expensive part, and it is what trackers charge for.

What do low-cost trackers cost for this exact design?

Check how each plan counts prompts, engines and frequency, because the headline price often covers fewer of one of them:

• ziptie.ai bills about a cent per prompt per engine per check with no minimum: roughly $4–5 a month for 20 questions on five of its engines weekly. It covers seven engines, including ChatGPT, AI Overviews, Perplexity and Gemini, but not Claude.
• Keyword.com's AI Visibility plan starts at $7.83 a month billed yearly, with credits spent per prompt and engine across nine engines; check how many credits 20 questions on five engines weekly use before choosing a tier.
• Otterly Lite is $29 a month for 15 prompts run daily on ChatGPT, Google AI Overviews, Perplexity and Copilot. Gemini and AI Mode are a $9 add-on and Claude a $29 add-on on Lite, so five-engine coverage costs about $67 a month, still for 15 prompts rather than 20.
• Rankscale starts at $17 a month on credits, billed yearly, with Pro at $99 for up to 4,800 answers.
• Peec AI Starter is $95 a month for 50 prompts on three models, run daily.
• Semrush's AI Visibility Toolkit is $99 a month per domain for 25 prompts.

Daily runs are not a bonus if you only read the results weekly; what matters is whether the plan covers your 20 questions on the engines your buyers use, and whether you can see the answers and cited pages behind the numbers.

Is weekly monitoring worth paying for at all?

Only if something will change because of it. Weekly readings are worth it when you are actively changing pages, when competitors are moving in your category, or when you report to a client or manager each week. Otherwise a careful monthly reading of the same questions tells you as much for a quarter of the effort. How to pick the 20 so that the monitoring is meaningful is covered in how to choose the right prompts to track for AI visibility, and how to read week-to-week movement without chasing noise in how to calculate AI visibility as an appearance rate across repeated runs.

Where does our product, Kovmere, fit?

Kovmere is our product, and Kovmere Pro is designed around exactly this job. For $49 a month, billed monthly with no annual contract, it asks up to 20 buyer questions for one market across OpenAI, Perplexity, Google Gemini, Anthropic Claude and Google AI Overviews. Each billing period starts with a baseline of three runs per question, up to 300 answers, followed by single-run re-tests in weeks two, three and four, up to 100 answers each, so up to 600 answers per billing period on a frozen question set. The report shows the answers and their sources, counts every cited URL and labels the most-cited pages; mentioned, recommended and cited are reported separately; and it prepares up to 12 fixes per period, up to 8 of them page drafts, for you to review and publish.

If you only need one reading, the Check is $19 once with no account, and it counts toward Pro's first month if you upgrade within 30 days. The limits: answers come from the engines' search-enabled APIs and Google's AI Overview results with US settings, not from the consumer apps; it measures one market per site; and there is no free trial. Like every tracker, it reports what answers said, not a guarantee of what they will say next.

What do people ask about monitoring 20 questions weekly?

Can I monitor five engines with the free versions of the apps?

You can check them by hand, but free and signed-out app answers vary with settings and location, and logging 100 answers a week by hand is rarely sustained for more than a few weeks.

Do I need three runs every week?

No. Three runs matter for the baseline, where you want to know how steady each result is. Weekly re-tests can be lighter, as long as you judge change across several readings.

Is scripting the APIs allowed?

Using the engines' official APIs under their terms is the normal way to automate this, but read each engine's terms: Gemini's grounding terms restrict caching and analysing grounded results, so check them before scripting Gemini. Scraping the consumer apps is a different matter and may break their terms, so read them before building anything.

What does monitoring 20 questions not tell me?

It does not estimate your share of every AI conversation in your category, and it does not show personalised answers inside individual users' accounts.

Is a plan with more prompts always better value?

Not if you will never read them. Compare plans on the questions you actually need and the engines your buyers use; unused prompts and daily runs nobody reviews only raise the price per useful answer.