How to Submit to AIAI Tools: A 2026 Walkthrough

AIAI Tools is a small AI catalog with category listings and simple cards. It belongs to the batch-and-verify tier of submissions.

The short answer

Submit to AIAI Tools if its category page is indexed and the listings beside yours are followed. Skip it if a site: search on the directory returns nothing — a listing on an invisible page is a form you filled in, not a citation.

What AIAI Tools is

An AI tools directory with categories, short product descriptions and links out to each tool.

Before you touch the form

Build the tracking sheet before the first submission, with columns for date, URL, login and rel attribute. Small catalogues get submitted in batches of ten, and the sheet is the only thing that remembers them.

Submitting, in order

Create a sheet: slug, date, email, URL, attribute
Submit in a batch of ten
Record each row immediately
Audit after six weeks
Remove dead listings

One thing that catches people out

Keep a spreadsheet of every AI catalog you submit to, with the submission date and the account email. Without it, half the listings become unmaintainable within a year.

What it is good for

AI catalogues send the most qualified traffic a directory can send — the visitor is shopping for a tool in that category rather than reading news. Volume is small; intent is not.

Checking what you actually got

Load the listing in a private window, as a stranger would
Check the screenshot or logo renders at the size the card expects
Inspect the outbound link, not the button, if it routes through a redirect
After six weeks, run a site: query on the listing URL
Record followed or not followed — that field predicts value

Where SaasHunt fits

The other half of this decision is timing. SaasHunt takes submissions for a fixed 08:00 UTC go-live, so the listing goes on a calendar instead of a hope list. Approved listings are dofollow; paid tiers from $9.9 skip the queue, and $49 adds a newsletter slot.

SaasHunt

The sheet is the deliverable

Ten submissions produce ten rows, and the rows are worth more than any individual listing. They tell you what exists, what was accepted, what the attribute is and when it last resolved.

Build the sheet before the first form, not after the fifth. A submission recorded from memory is a submission you will redo.

Batch of ten, one sitting

Context switching is the hidden cost of directory submission: each catalogue wants its own vocabulary, category and field order. Doing ten in one sitting amortises that cost across the batch.

It also makes defects visible. When the same description fails on three sites in a row, the description is wrong, and you find that in an afternoon rather than a quarter.

Columns that matter in a year

Slug, submission date, account email, live URL, rel attribute, indexation status, last checked. Seven columns, and the ones people skip — email and last checked — are the two that make the sheet maintainable.

The email matters because password resets and edits go through it. The check date matters because a sheet without one becomes a record of intentions.

The audit at six weeks

Open every row, confirm the page resolves, inspect the anchor, search the listing URL. Note the result without judgement.

The audit is not about blame. It is the only way to learn which catalogues in this tier are worth ten more minutes and which were a form that accepted a file.

Removing dead rows

Delete rather than annotate. A sheet with forty live entries and twenty struck-through ones gets abandoned, because nobody wants to read a graveyard.

Keep a separate tab for dead listings if the history matters. The working tab should show only what you would resubmit or re-check.

When the sheet says stop

After twenty or thirty rows in the same tier, the marginal catalogue stops being interesting: the same categories appear, the same descriptions are accepted, the same traffic fails to arrive.

That is the signal to move the remaining hours to the two placements that send buyers. Coverage has a ceiling, and the sheet shows you where it is.

One description, twenty copies

Write the 160-character description once and reuse it verbatim across the batch. Per-site rewriting multiplies the afternoon by five and produces no measurable gain, because nobody comparison-shops across two AI catalogues.