Every Kaistone audit produces a ranked list of improvements — ordered by impact, assigned by role, and ready to hand to your team or client.
Recommendations
example.com · 6 actions
AI crawlers look for /llms.txt to understand your site. Without it, you're invisible to ChatGPT, Perplexity, and Gemini's indexing pipelines.
FAQPage JSON-LD markup dramatically increases the chance of your content being cited verbatim in AI-generated answers.
Structure content as direct answers to questions (Who, What, Why, How). AI models prefer content that directly answers a query.
Link your brand entity to LinkedIn, Crunchbase, and Wikipedia. This builds entity authority that AI models use to verify and cite your brand.
AI Readability, Answer-Ready Content, Trust & Authority, and Platform Presence are each scored out of 100.
Each failing check generates a specific recommendation with a plain-language explanation and implementation guide.
Quick wins appear first. Long-term strategic items are clearly labelled. Your team always knows where to start.
Recommendations are written in plain language — no jargon, no technical noise. They're designed to be shared directly with clients as part of a white-labeled proposal.
AI crawlers look for /llms.txt to understand your site. Without it, you're invisible to ChatGPT, Perplexity, and Gemini's indexing pipelines.
FAQPage JSON-LD markup dramatically increases the chance of your content being cited verbatim in AI-generated answers. Target your top 5 pages first.
Structure content as direct answers to questions (Who, What, Why, How). AI models prefer content that directly answers a query without requiring inference.
Link your brand entity to LinkedIn, Crunchbase, and Wikipedia. This builds entity authority that AI models use to verify and cite your brand.
Explicitly allow GPTBot, ClaudeBot, PerplexityBot, and Google-Extended. Many sites accidentally block AI crawlers with overly broad Disallow rules.
Get mentioned on G2, Capterra, and industry directories. AI models heavily weight third-party citations when deciding which brands to recommend.
How does Kaistone prioritise recommendations?
Recommendations are ranked by a combined Impact/Effort score. High-impact, low-effort actions (like adding llms.txt) always appear first. Each recommendation is tied to a specific audit finding, so you know exactly why it matters for that client's site.
How many recommendations does a typical audit produce?
A full AEO audit typically produces 8–20 recommendations across the four categories: AI Readability, Answer-Ready Content, Trust & Authority, and Platform Presence. The number depends on how well-optimised the site already is.
Do recommendations include implementation guidance?
Yes. Each recommendation includes a short description of what to do and why it matters for AI visibility. The Project Estimator then converts these into a scoped task list with hours and cost estimates.
Are recommendations updated as AI platforms change?
Kaistone's audit engine is updated continuously as AI platforms evolve their crawling and citation behaviour. Your clients always receive recommendations based on current AI search best practices.
Run your first audit and get a full prioritised recommendation list in minutes. No credit card required.