Here's what to do to get recommended by AI.
Buyers ask ChatGPT, Google and Perplexity who to trust. Most tools show you dashboards about it. Recommendable analyzes your website the way AI reads it, page by page, and tells you exactly what to improve. In plain language, ranked by impact.
AI Search. Concrete actions. Real recommendations.
- 1Add Organization schema to your trust pagesStructured data · affects 42 pagesHigh impactLow effort
- 2Say who /pricing is for in the first 100 wordsPositioning clarity · 1 pageHigh impactMedium effort
- 3Consolidate three near-duplicate service pagesContent · cannibalization detectedMedium impactLow effort
- 4Open crawler access for GPTBot and add llms.txtAgent readiness · blocked since MarchHigh impactLow effort
The gap
Knowing your score is the easy part
AI visibility tools are good at measuring. Then the real question starts: what should you do about it?
Dashboards without directions
GEO tools show you beautiful charts about your visibility on prompts. What to actually do tomorrow stays your problem.
Advice too vague to use
“Get active on Reddit and LinkedIn.” Sounds reasonable, helps nobody. You need to know which page, which fix, in what order.
Shortcuts that backfire
Mass-generated AI content and technical box-ticking feel productive. Models recognize slop, and the impact you're after never arrives.
Recommendable is built around that harder question. Every analysis ends in concrete actions, like having the most experienced AI search and content strategist on your team.
How it works
From domain to to-do list in three steps
Add your brand
Enter your domain and fill the brand profile: competitors, personas, and the topics you want to own. Ten minutes, once.
Run the analysis
40 modules and agents read your site the way AI reads it: overall and page by page. Every finding comes with the evidence it's based on.
Work the list
You get one stack-ranked list of actions, prioritized by impact and effort. Fix, re-run, and watch the scores move.
Website analysis · available now
Fix what keeps AI from citing you
40 modules and agents audit your site the way models read it: technical SEO, content quality, structured data and agent readiness in one run.
- Copy-paste fixes for your CMS or your developer
- Findings grouped by template, so 42 pages is one fix
- Severity, confidence and effort on every item
{
"@type": "Organization",
"name": "Acme Outdoor",
"sameAs": ["https://linkedin.com/company/acme-outdoor"]
}Page by page
Every page gets its own action list
Site-wide averages hide the real work. Recommendable analyzes each page individually and tells you the single most valuable fix for it.
- A score and a next action for all 124 pages
- Filter by quick wins or high impact
- Re-run after fixing and watch pages climb
Inside the analysis
What the 40 modules look at
Getting recommended takes more than technical basics. The analysis covers everything models use to decide whether to trust and cite you.
Technical SEO
Crawlability, indexation, Core Web Vitals and the basics that have to be right.
Structured data
The schema that helps models understand who you are and what you offer.
Content quality
Editorial depth, freshness and the thin or duplicate pages that hold you back.
Positioning clarity
Whether every page makes clear who it's for and why you're the right choice.
Agent readiness
llms.txt, crawler access and semantic HTML, so AI can read and cite you.
Internal proof
Credentials, provenance and trust pages that make models take you seriously.
On the way
The website analysis is just the start
Getting recommended also depends on what happens beyond your site. These layers are next, and early access users get them first.
Topics
All the topics in your market, and how visible you are on each one. So your content strategy follows real demand.
Reputation
How the different models see you, and where that picture differs from who you actually are.
Authority Footprint
Your external footprint compared to competitors, so you know exactly where to build authority first.
We built Recommendable because clients kept asking us the same question: why does ChatGPT recommend my competitor and skip me? Now there's a list that answers it.
Erik & Peter
Founders of Think again
FAQ
Questions, answered
When can I subscribe?
Recommendable is in private beta. We're running it on our own clients while we finish the last pieces. Join the early access list and you'll hear it first when subscriptions open.
How is this different from other GEO tools?
Most GEO tools measure your visibility and leave the doing to you. Recommendable's output is the to-do list itself: concrete actions in plain language, with evidence and priorities. We deliberately skip synthetic prompt tracking and the statistically shaky conclusions that come with it.
What does the website analysis cover?
40 modules and agents analyze your site overall and page by page: technical SEO, structured data, content quality, positioning clarity, agent readiness and internal proof. Each finding shows the affected pages, the evidence, and a fix you can apply right away.
What's coming after the website analysis?
Topics (all the topics in your market and how visible you are on them), Reputation (how the models see you, and how that differs from your identity) and Authority Footprint (your external footprint versus competitors). Early access users get them first.
Does it work for agencies?
Yes. Recommendable is multi-tenant from day one: organizations, roles and per-client audits are built in. Run the same depth of analysis for every client and share the reports with them.
What will it cost?
We'll announce pricing before subscriptions open. People on the early access list hear it first and get the best deal we'll ever offer.
Subscriptions open soon
We're running Recommendable on our own clients while we finish the last pieces. Want in early? Send us a note and you'll be first in line when the doors open.
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