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About Sailiently

Built so you can measure AI visibility instead of guessing at it.

Sailiently makes AI discoverability something you can actually measure — what the engines say about you, whether your pages can be cited, and where your brand lives on the web they learn from. Three instruments, one philosophy: evidence over assumption, and no fabrication, ever.

Why we built Sailiently

Ten blue links became one answer.

A growing share of the questions that used to go into a search box are now answered directly by AI engines. Instead of ten blue links, the reader gets one synthesized answer, assembled from the handful of pages the engine chose to read and quote.

Search, then
AI answers, now
3 SOURCES CHOSEN — IS ONE OF THEM YOU?
The blind spot

You can rank perfectly well in traditional search and still be invisible to these engines — because being crawlable by Google and being readable and quotable by an AI answer engine are not the same thing. Most teams have no way to see which side of that line their pages fall on. We built Sailiently to close that gap: to make AI discoverability something you can measure, page by page, instead of guess at.

What makes it different

Three commitments, in every tool.

It measures. It doesn’t guess.

Where the tool can observe something directly — whether a page returns a 200, whether a crawler is blocked, whether content lives in the HTML or only after JavaScript runs — it reports the observation, not an assumption about it.

Engines aren’t interchangeable.

The bots that train models and the bots that fetch live pages to cite them are different populations — unblocking one does nothing for the other. Sailiently accounts for those differences instead of flattening them into one generic score.

It tells you what to do next.

Every audit ends in concrete, prioritized fixes — not a vanity number. Gap analysis shows where competitors get quoted and you don’t; the rewrite tooling makes a page more quotable without changing what it says.

One rule we don’t break: no fabrication. The entire value of a discoverability tool is trust in its numbers. Scores are real measurements, figures are real figures, and every claim in every report is backed by evidence from the actual fetch — in the product, and in this website’s copy too.
The philosophy became a suite

Three instruments around one loop.

Measure what the answers say. Fix the exact pages that decide them. Map the web the engines learn from. Then re-run and prove the change — the loop below is the whole product strategy in one diagram.

"best dashcam for fleets"CITED
"driver scorecards"MENTIONED
"ELD comparison"ABSENT

AI Visibility Tracker

Are you actually in the answers? Your buyers’ real questions across six engines, multi-pass — with the rival pages that win instead, and the LLM Mentions add-on.

Explore the Tracker →
SCORE72
HIGHAdd FAQ schema
MEDServer-render table

GEO Suite

Can your pages be cited? Four page-level jobs — free Site Check, URL Audit, Gap Analysis, Page Rewrite — from crawler access to a quotable draft.

See the four jobs →

Citation Radar

Where does your brand live on the web? Citations, mentions, rankings, AI Overviews and broken inbound links — six scans, evidence on every row.

Explore Citation Radar →
GET AI-READY · ONCE PER PAGE 1 · Check 2 · Audit 3 · Rewrite 4 · Track 5 · See who’s winning 6 · Close the gaps 7 · Build & fix pages 8 · RE-RUN

See where you stand — measured, not guessed.

Start free with 15 credits. Every score you’ll see is a real measurement.

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