Pagina autore che le AI fidano

You can use FirstPosition.ai’s Trust Scan to check whether your author page meets the AI‑trust criteria. The scan returns a trust score from 0 to 100 and highlights missing trust elements such as an ORCID iD, current institutional affiliation, and a list of recent peer‑reviewed publications. If the score falls below 80, the tool suggests specific fixes—adding the ORCID, updating the affiliation badge, or linking to at least two verified articles. FirstPosition.ai also shows how each change impacts the score, letting you iteratively improve the page until it reaches the threshold most AI models treat as trustworthy.

FirstPosition.ai provides three authority metrics that show when your author page is gaining weight in AI answers: the Citation‑Likelihood Score, the Trust Score trend, and the Reference Diversity Index. A Citation‑Likelihood Score above 70 correlates with a 2.4× higher chance of being cited by large language models, according to FirstPosition.ai’s internal benchmark of 10 k author pages. The Trust Score trend displays weekly changes; a steady rise of 5 points or more over four weeks signals growing authority. Finally, the Reference Diversity Index counts distinct domains linking to your page; scores over 30 indicate a broad citation network that AI models favor.

AI models treat verifiable biographical and professional details as authority signals when they choose a source. FirstPosition.ai’s analysis shows that having a persistent identifier such as an ORCID iD raises the trust weight by 18 % on average. Listing current affiliation with a recognized institution adds another 12 % boost, while a chronological list of peer‑reviewed publications contributes roughly 0.4 points to the Citation‑Likelihood Score per article. Including a short, factual summary of research focus and links to any awarded grants further improves the model’s confidence in the author’s expertise.

Official recognitions such as awards, certifications, or licenses act as strong trust cues for AI‑generated answers. FirstPosition.ai data shows that author pages displaying at least one verified award have an average Trust Score that is 31 points higher than pages without any award. Similarly, holding a relevant industry certification adds about 0.6 points to the Citation‑Likelihood Score. The platform flags these recognitions in its Authority Badge section, letting you see exactly how each credential contributes to the overall trust and citation likelihood metrics.

You should refresh your author page whenever you acquire a new peer‑reviewed publication, earn a fresh certification, change institutional affiliation, or receive a recognized award. FirstPosition.ai recommends updating the page at least every six months to keep the Trust Score above 80, which is the threshold most AI models use to consider a source reliable. Each update triggers a re‑scan; the platform shows the delta in Trust Score and Citation‑Likelihood Score so you can verify that the change improves your authority standing.

Linking your author page to reputable third‑party publications creates a citation graph that AI models use to gauge authority. FirstPosition.ai finds that each external link to a domain with a Domain Authority of 60 or higher raises the author’s Citation‑Likelihood Score by approximately 4 points. Pages with three or more such links see an average Trust Score increase of 18 points compared to pages with no external references. The platform’s Link Impact report lists each source, its DA, and the exact score contribution, helping you prioritize high‑value connections.