PlatformRecommendations
AI visibility recommendations
Prioritised actionsto improve your AI visibility
Supasaito turns your AI visibility, competitor, source and site audit data into a prioritised list of actions — what to publish, what to fix and which data to complete — so your team spends its time on the changes most likely to matter, with the evidence for each.
Every recommendation shows its data · content briefs on paid plans
How recommendations are built
From gaps in the data to measured changes
Supasaito looks for gaps across your AI visibility, competitors, sources and site audit, ranks them by impact and effort, and turns each into a brief your team or an AI agent can act on — then measures what changed.
- AI visibility and competitorsWhere AI names others instead of you
- Sources and site auditMissing citations and technical blockers
- Supasaito prioritisesImpact and effort for every gap
- Briefs and fixesContent, technical and data actions
- Published and measuredIndexing, AI citations, visits
01Three types of recommendations
Content, technical and data recommendations, ranked by priority
Content recommendations say what to publish and where. Technical ones say what to fix so AI crawlers can read your site. Data ones say what Supasaito still needs to know. Each is ranked High, Medium or Low by expected impact and effort, so you know where to start when time is short.
02Evidence behind each recommendation
The data that triggered each recommendation
Supasaito checks every scan, competitor comparison, source list and site audit for gaps you can close, and attaches the numbers that triggered each recommendation. You can judge it yourself, explain it to your team and decide whether to act.
Signals that create recommendations
03Content briefs
Content briefs for new pages, rewrites and external articles
A content brief says what to publish, where and how, with your business context, the competitor profile, the prompts to win and the sources to reach. Writers and AI agents start from facts instead of a blank page — for a new page, a rewrite or an article on an external site.
What, where and how
Page type, channel, outline, the questions to answer early and the evidence to include — the parts that make a page easy for AI to cite.
Rewrites of existing pages
When a suitable page already exists, the brief proposes what to change in it, so you improve what you have before writing more.
Acceptance criteria
The reviewer knows when the piece is done before it goes live, which saves rounds of feedback.
04Technical fix-it briefs
Technical fixes with the exact change and how to check it
Each site audit finding becomes a fix-it brief: the exact robots.txt, JSON-LD or meta change, the pages it affects and how to check it worked. You can hand it to a developer or an agency without translating SEO jargon.
05Data recommendations
Missing data that makes the analysis less accurate
Data recommendations keep Supasaito's picture of your business accurate: brand spellings, competitors, sources, prompts and the business context briefs are built on. Better input means fewer missed mentions and more useful recommendations.
Add Japanese spelling variants
Review suggested competitors
Categorize unidentified sources
Add prompts to under-covered categories
Review the business context
Update competitor profiles
06Results tracking
What changed after each recommendation was published
A recommendation goes into a campaign, the work is published, and Supasaito follows it: indexed by Google, first impressions, first AI citation, visits and key events. You see which kinds of work pay off and plan the next round with evidence.
FAQ
Recommendations: common questions
- How does Supasaito create recommendations?
- It checks your AI visibility scans, competitor comparisons, cited sources and site audit for gaps you can close — for example, a competitor that leads a category or a source that cites competitors but not you. Each recommendation shows the data that triggered it.
- How are recommendations prioritised?
- Each one is ranked High, Medium or Low by its expected impact and the effort it takes, so you can start with the changes that matter most.
- What is in a content brief?
- Where to publish, the page type, the answer to give first, an outline, the evidence to include, the prompts the content should win and the criteria for calling it done. It is built from your business context and, where relevant, a competitor profile.
- Can AI agents carry out recommendations?
- Yes. Recommendations can become campaigns and tasks for your team or for AI agents connected through MCP, with the review rules you set.
- Do recommendations guarantee more AI visibility?
- No. They point to the gaps with the strongest evidence; results depend on your market and on the work itself. Supasaito tracks what changed after each publication so you can see what worked.
Related features
Where recommendations come from and where they go