Write pages an answer engine can cite. Know when it does.
Publishers live on being the source. MonoRanks checks the page-level signals answer engines rely on, and samples what AI assistants say when readers ask about your topics.
Authors, dates, questions as headings
Objective checks per article: named author, visible date matching the schema, the question in the heading, the answer in the first paragraph, Article schema. Grouped by template so one fix reaches every article.
Editorial checks with evidence
A model judges whether an article answers directly, is written for people and adds something beyond the generic, and quotes the sentence it based that on. Shown next to the checks, never inside a score.
AI mentions on your beats
The questions your readers ask, asked to three models every week. See when the answers name you, link you, or cite a competitor instead, and turn the gaps into briefs.
AI crawlers: your call
Allow answer bots, block training bots, or the other way round. One choice per bot, written to robots.txt through the connector, with Google Search untouched.
What it is not
MonoRanks does not write articles. It drafts one opening paragraph from your own text, when you ask, and shows the diff.
Questions from publishers
Does it handle large archives?
Audits cover up to 1,000 pages per run on Agency (more on request), ordered by importance; the archive beyond that is sampled by template.
Should we block GPTBot?
That is your editorial decision. MonoRanks shows what each bot is for and writes the choice; it does not recommend one.
Can editors approve fixes?
Yes: members with the editor role approve; viewers only read.
See which articles an AI could cite.
AEO readiness and AI mentions are on the Free plan.