Be Recommended by Inithouse: using an AI visibility & GEO monitoring tool for a real job (a 0–100 score across 5 AI engines)
Article summary
Quick briefing — cleaned from the original RSS feed
The average brand scores 31 out of 100 on AI recommendation visibility. We found that out by running Be Recommended across 50+ prompts on five AI engines and counting who actually gets mentioned. This post walks through a specific job: checking how AI engines recommend a B2B SaaS product, reading the score, and deciding what to fix first. Not theory, just the steps we take at Inithouse when we run a report on one of our own products. The job: "How does AI see my product right now?" Every…
1Key Takeaways
- The average brand scores 31 out of 100 on AI recommendation visibility.
- We found that out by running Be Recommended across 50+ prompts on five AI engines and counting who actually gets mentioned.
- This post walks through a specific job: checking how AI engines recommend a B2B SaaS product, reading the score, and deciding what to fix first.
- Not theory, just the steps we take at Inithouse when we run a report on one of our own products.
2AIWedia Score
8.5/10
High relevance — worth your attention today
Based on source trust, recency, category impact, and story depth.
3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the average brand scores 31 out of 100 on AI recommendation visibility.
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