Schema vs prompting: how Be Recommended by Inithouse thinks about getting cited by AI
Article summary
Quick briefing — cleaned from the original RSS feed
The average company we score at Inithouse gets a 31 out of 100 across five AI engines. Most of the gap between 31 and 80+ comes down to two levers: structured data and content phrasing. We spent months figuring out which matters more. This post breaks down what we found building Be Recommended , our AI visibility tool that measures how ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews recommend a brand. The two camps When people talk about getting recommended by AI models, the advice…
1Key Takeaways
- The average company we score at Inithouse gets a 31 out of 100 across five AI engines.
- Most of the gap between 31 and 80+ comes down to two levers: structured data and content phrasing.
- We spent months figuring out which matters more.
- This post breaks down what we found building Be Recommended , our AI visibility tool that measures how ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews recommend a brand.
2AIWedia Score
8.1/10
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 — AI reports that the average company we score at Inithouse gets a 31 out of 100 across five AI engines.
Explore related
Browse toolsCoding AI news
Explore curated coding ai tools on AIWedia — compare, rank, and launch from our directory.
Full story on DEV — AI
Read full articleHeadlines aggregated via RSS for discovery on AIWedia. Original content © DEV — AI. We link to the source and do not republish full articles.