We ran the diagnostic on GetRecommended.io itself.
Our score, our gaps, our competitors, our action plan. Read it before you apply. The methodology has to stand on its own work before it stands on yours.
65
Out of 100
11/60
Engine checks hit
5
Competitors recommended ahead
18
Action plan items
These are GetRecommended.io's own numbers. Not a customer's. Not invented. The full breakdown of each is in the report sections below.
The four scoring dimensions
Every score in the report is a weighted combination of these four pillars. Each dimension has its own working shown.
Technical Health
SSL, schema markup, llms.txt, sitemap, mobile responsiveness, FAQ presence. The technical baseline AI engines look at first.
Content Quality
Extractability, question-based structure, claim format. Whether AI engines can pull clear answers from your pages without guessing.
Authority and Trust
Reviews, named mentions, social signals, citations. The trust signals AI engines weigh when picking which businesses to recommend.
AI Presence
How often you actually appear in AI-engine responses for queries your customers are running. The output of everything else.
What the full report contains
Every section that lands in your inbox when the beta diagnostic runs on your business.
Multi-engine visibility scan
Ten industry-specific queries run across six AI engines: Google AI Overview, ChatGPT, Perplexity, Gemini, Claude, Grok. One result row per query per engine.
AI Visibility Scorecard
Score out of 100 across the four dimensions above. Working shown for every dimension so you can see which signals are missing.
Named-competitor benchmarking
For every query where a competitor was recommended instead, the report names them. Per engine, per query. Specific, not abstract.
Prioritised action plan
Every fix tagged by who-does-it (you, your web person, a specialist) and priority (high, medium, low). No vague tips. Length varies based on findings.
Website Health Check
The technical baseline laid out: SSL, schema, sitemap, llms.txt, mobile, FAQ, blog detection. Each with the current state and what to change.
AEO Best Practice Patterns
What's working on your site already and what's missing, against the patterns AI engines actually use to extract answers.
Full sample report drops at beta launch
The PDF and on-page version of GetRecommended.io's own diagnostic publish with the Wave 1 beta open. The numbers above are the headline summary. The full report includes the per-engine breakdown, the named competitor list, and the prioritised action plan with every item tagged by who-does-it.
Operator first. Vendor second. The product is the proof.
Run the same diagnostic on your business.
The methodology shown above is the same one running on every beta application. Six engines, ten queries, four dimensions, a real action plan.
Apply for a beta spotNo payment. Founding-cohort status. Two-minute intake.