Methodology

Diagram of Serchai’s agentic process: the internet (forums, pricing, docs) → agents sweeping every night → evidence with sources and axes → public formula → weekly ranking, repeating every week

Agentic comparison: the internet is the evaluator

Serchai does not score from our isolated opinion nor copy the vendor's site. Our method is agentic comparison: AI agents that sweep what the web says about each tool (real user experiences, forums and communities, official docs, pricing pages and product changes) and synthesise it into a contrasted picture. On that picture we write the verdict, with human editorial review and a date on every review.

The method's advantage is scale and honesty at once: no editorial team can deeply test dozens of tools every month, but a systematic sweep of public signals can keep the picture of all of them current. And what we cannot verify, we do not claim.

What the 0-to-5 rating measures

When a tool has an agentic sweep, its rating gets derived from five axes with declared weights and recalculated on every sweep:

Results (30%): the quality of what it produces according to those who use it, because that is what it gets hired for.
Real price (20%): what it truly costs against perceived value, billing surprises included.
Integration (20%): how it fits into existing workflows, platforms and tools.
Control (15%): learning curve, configuration and user command.
Support (15%): support, documentation and product cadence.

Those five axes describe the product, which is why they move slowly: a tool does not change its integrations or its learning curve from one Monday to the next. So there is a sixth factor, the one that keeps this rating alive.

What each number means

A declared weight is worthless if 3.6 means one thing this week and another the next. Every axis is anchored to something checkable, and it scores the current state, not the trajectory nor what the tool is expected to become:

Results. 5: does what it promises consistently, and the complaints are about edge cases. 3: delivers in the ordinary case and fails as soon as you step outside it. 1: does not deliver what it advertises, or so erratically that you cannot rely on it.
Real price. This does not score “expensive”: it scores whether you know what you will pay. 5: public pricing, no surprises, cancels without friction. 3: public price with fine print — annual billing required, or credits run out sooner than the page suggests. 1: no public price, or charges the user did not expect.
Integration. 5: stable documented API or official connectors, and exporting your data is trivial. 3: integrates the hard way, by hand. 1: an island; what goes in does not come out.
Control. 5: adjustable where it matters, reproducible, no black box in what affects you. 3: adjustable on the surface. 1: decides for you and gives you no way in.
Support. This does not score how friendly they are. 5: a channel that answers within a stated window, documentation that resolves, a product that fixes what gets reported. 3: it exists and sometimes lags. 1: nobody to write to, or repeated incidents with no answer.

When a rating moves, and why it can also go up

An axis moves when a dated fact changed the situation: a price or plan change, a feature shipped or withdrawn, an integration that stops working, a support channel that opens or closes, a sustained outage, a change of ownership. Every move is published with that fact in the tool’s page, in its history.

What does not move an axis is finding one more complaint about a problem the page already reports. It is already inside the rating; counting it again would be counting it twice. That goes to this week’s sentiment, the next section.

And ratings rise on the same facts in reverse: a price cut, a feature that lands, support that opens a channel. They also rise on verified silence: if a problem published on the page goes three sweeps without a single dated complaint, it is retired and the axis goes up. Three, not one: a quiet week is chance.

The archive: what we publish from it and what we don’t

Every sweep leaves a dated entry: the rating, the five axes and the reason for the change. That series builds up from the first day we looked at a tool and cannot be reconstructed afterwards: the price it had in July, if nobody checked in July, is gone. That is why the history is append-only — a past entry is never corrected, not even when we find out the figure back then was wrong. In that case we log the discard and the correct figure goes into today’s entry.

From that archive we publish the latest movement with its reason, the depth, and the shape of the trajectory; we do not publish the series of values. And it is worth saying why without dressing it up: keeping the archive costs money every week, and the reports we sell to vendors come out of it. Handing over the full series of every tool would mean giving months of sweeps to someone who has not paid for them.

What we do give you is what helps you decide. On every tool page you will see one bar per sweep: up if the rating rose, down if it fell, flat if it did not move. It carries no numbers on purpose, because the figure from two months ago does not change whether buying today suits you; what does change that decision is whether the tool is getting worse consistently or just had one bad sweep. That is what the strip answers, and there is a sentence underneath saying it in words.

Next to it we publish since when we have tracked it, how many sweeps we have on record, and between which values the rating has moved. That lets you judge how much weight what you are reading carries: a one-week snapshot is not twenty sweeps.

This week’s sentiment: one fifth of the rating

When the sweep finds what has been said about a tool over the last seven days, that sentiment enters the rating with a weight of 20%, and the five axes above share the remaining 80% keeping their weights relative to each other. It is deliberately volatile: if a tool ships a release people love, or breaks something that angers them, the rating registers it in days rather than months.

Three rules hold it up, and all three can be checked on the review itself:

Window: only what was published inside the tracked week counts, and its start and end dates are shown. Anything said three months ago already lives in the five axes.
Evidence: every signal carries its date and the link to go read it. Without at least two independent signals there is no sentiment: the block does not appear and the rating stays on the five axes. One angry thread on one afternoon does not move a rating.
Novelty: we flag what was not in the previous sweep, which is exactly what explains why the rating moved this week.

The fit by profile below does NOT include this sentiment, and that is on purpose: it answers whether a tool suits your situation, and your situation does not change because there is an angry thread on a forum this week.

Tools not yet swept keep their initial editorial rating until their first sweep, and every review shows its own sweep date. A rating of 4 or more means we recommend it for its main use case.

Fit by profile, out of 100

There is no universal best AI, and a single rating with fixed weights cannot tell the whole story. That is why every swept tool also shows its fit for four profiles: the same five axes, re-weighted by what matters from each seat, with the weights declared too:

Company or team: integration 30%, support 25%, control 20%, results 15%, real price 10%. Fitting what you already have weighs more than the seat price.
Freelancer or small business: real price 35%, results 30%, control 15%, integration 10%, support 10%. Every euro comes out of the same account.
Technical profile: results 35%, control 30%, integration 20%, support 10%, real price 5%. Quality and fine-grained command above all.
Occasional use: real price 35%, control 30%, results 20%, support 10%, integration 5%. Easy to learn and painless to pay for.

A fit of 100 means every axis that matters to that profile sits at 5 in the sweep. The recommender uses this fit to order its results once you pick a profile.

How each tool gets analysed

The agentic sweep collects public signals: what users recurrently praise and complain about, how the product evolves and what its documentation says.
Pricing, free trial and platforms get checked at the official site on the date shown on the review.
The verdict, pros and cons get written from that synthesis, with editorial review, without copying vendor materials.
The catalogue gets re-swept in batches: when something changes, the review and its date get updated.

What we verify and what we attribute

Serchai directly checks the official website, documentation, pricing, availability and product changes. Claims about hands-on experience are attributed to the public sources that support them and linked from the review. We do not claim to have personally used every tool: we separate vendor facts, recurring user experience and the derived verdict. That separation lets readers see where each conclusion comes from and challenge it.

How we display pricing

The price shown is the cheapest paid plan (“from”), in US dollars, as listed on the official website on the review's last update date. Prices change often: always confirm the final amount on the vendor's website before paying.

Editorial independence

Reviews contain no affiliate links in the body text. Affiliate links only appear in the visit buttons, labelled with a notice and carrying rel="sponsored". No vendor can pay to be listed, to climb a ranking or to change a rating.

Our own products

Some tools in the catalogue are built by this site's author. They carry an “our own product” label on their review, in comparison tables, in rankings and in finder results, not only on the about page: people reach a review from search, not from the homepage. Their rating comes from the same sweep and the same formula as every other tool, and the editor cannot touch it.

Corrections

If you spot an error (an outdated price, a feature that no longer exists) write to [email protected]. We fix the data as soon as possible and, when the change is significant, we update the review date.

5 August 2026 · the method could only go down

Measuring the full sweep series showed that 86 ratings had gone down and 18 up, and that the largest rise in the whole catalogue was one tenth. No tool had ever improved. That did not describe the market: it described the method.

The cause was mechanical. Every sweep found new complaints — there is always a new complaint — and lowered the corresponding axis, while nobody writes a review to say support answered them well. Negative evidence accumulated and positive evidence did not. It showed in the two axes scored by reading complaints: real price (1 rise against 15 falls) and support (3 against 19), while the three product axes were close to balanced.

Since that day an axis only moves on a dated fact, what gets said this week goes to sentiment, and ratings can recover. The ones before that date have not been rewritten: the history is append-only, and correcting the past would mean inventing it. The ratio of rises to falls is now checked on every publish.