Key takeaways
- Wachete decides alerts with selected page areas and exact text, number or formula conditions.
- AyeWatch reads each change against a rule written in plain English and sends a summary only when it fits.
- Exact rules still win for price thresholds, charts, login pages and files; meaning-based rules win on busy pages and fuzzy questions.
An AI Wachete alternative changes one thing about page monitoring: who decides whether a change is worth an alert. In Wachete, as in most classic monitors, you decide in advance by picking a part of the page and, if you like, a condition on its text or numbers. In AyeWatch, its AI decides each time, by reading the change against a rule you wrote in plain English. That sounds like a small shift. In practice it changes how many alerts you get and what they say.
How classic monitors decide
Wachete is a good example of the classic approach done well. You select an area of a page, choose how often to check it, and add rules if you want them. Its rules are concrete: alert when a number goes above or below a value, when certain text appears or disappears, or when your own formula is true. Wachete's FAQ shows formulas such as matching a value that contains "berlin" but not "praha". You can also mark parts of a page to ignore, such as ads or dates.
Those rules are exact and cheap to run, and Wachete prices them accordingly, from $5.40 a month for 50 pages checked hourly. Their limit is that they only match the strings and positions you predicted. A pricing page that renames a plan, a policy page that changes a sentence's meaning without changing the keyword, or a redesign that moves the section you selected will either slip past or set off an alert with no explanation.
How a model-based monitor decides
AyeWatch's site calls its approach "semantic AI alerts (not keyword matching)". A monitor has two parts: the sources, which can be one or more URLs, and a rule written as a sentence. For example:
- "Alert when the airline changes its baggage allowance on economy fares."
- "Tell me when this university publishes a new admissions deadline."
- "Flag any change to the data retention period in this privacy policy."
When a page changes, the change is read against that sentence. If it fits, you get an alert with a short written summary of what changed. If it does not, such as a new footer date or a reordered menu, nothing is sent. Because the rule never refers to a location on the page, a redesign does not break it.
The same idea works for sources you never listed. AyeWatch topic monitors search more than a billion sources, including news, forums, blogs, government pages and academic publications, and its social monitors read X, Reddit, YouTube, LinkedIn, Instagram and TikTok. The rule is still a sentence; the AI judges each item against it.
What the model approach costs
There are trade-offs, and they are worth stating plainly.
- Price. AyeWatch starts higher than Wachete. Plans run from $9 a month (Pro, hourly checks) through $19 (Pro+, ASAP checks), $39 and $99. Usage is counted in monitoring credits, and faster intervals use more.
- Free use. Wachete has a free plan for 5 pages checked daily. AyeWatch has a Free Preview of three lifetime runs, with no card, which does not renew.
- Exact values. A threshold on a number is a solved problem for classic monitors. Wachete also charts numbers for up to five years and exports them to a spreadsheet. AyeWatch does not list charts or exports.
- Coverage of hard pages. Wachete monitors pages behind a login and text inside PDF and Office files on its higher plans. AyeWatch does not list those features.
Where the model approach wins
It wins where the question is fuzzy and the pages are busy. Competitor positioning, regulatory text, terms of service, product changelogs and news about a company are all cases where the words change often and the meaning changes rarely. A rule like "tell me only if this changes what we owe them" cannot be written as a keyword condition. It can be written as a sentence.
It also wins on what the alert tells you. A diff shows text in green and red. A summary tells you what happened in one paragraph, which is easier to forward to a team channel. On paid plans AyeWatch sends to email, Slack, Discord and HMAC-signed webhooks, and exposes a REST API and an MCP server for agents. Push and the in-app feed are on every plan.
Which to use
If your monitoring is mostly numbers, files and logins, Wachete remains the practical choice. If it is mostly meaning, an AI monitor is the better fit, and AyeWatch is the one we would start with. Its comparison with Wachete covers the feature list in more detail.
Frequently asked questions
What does semantic monitoring mean?
The monitor judges whether a change matches the meaning of your rule, not whether certain words or numbers changed.
Does Wachete use AI?
Wachete runs an MCP server so AI assistants can create and read monitors, but its alert rules are text, number and formula conditions.
Sources
- AyeWatch plans and featuresAyeWatch
- AyeWatch pricingAyeWatch
- AyeWatch vs WacheteAyeWatch
- Everything Wachete can doWachete
- Wachete FAQWachete