Free Tool

Social Proof Analyzer

Paste your page HTML to see how strong your social proof and trust signals are. Checks testimonials, reviews, trust badges, case studies, press mentions, team content, statistics, and 12 signals that AI search engines use to assess authority.

How it works

1

Paste your HTML

Right-click your page, select “View Page Source”, and copy the full HTML into the text area below.

2

Analyze trust signals

We check 12 social proof categories including testimonials, reviews, badges, press, team content, and structured data.

3

Get your score

See your Social Proof Score, letter grade, and targeted recommendations to improve AI engine trust and citations.

Paste your page HTML

All analysis is performed entirely in your browser. Your HTML is never sent to any server.

Why social proof matters for AI search

AI answer engines like ChatGPT, Perplexity, and Google AI Overviews don't just find information — they evaluate which sources to trust. Social proof signals are among the most important factors in that evaluation.

E-E-A-T and AI citation

Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) now directly influences which pages AI engines cite. Social proof signals — from testimonials to press mentions — are the most visible indicators of real-world trustworthiness.

Specific data gets cited

AI engines are trained to extract and cite specific, verifiable claims. “5,000+ customers served” or “4.8/5 from 1,200 reviews” are exactly the kind of data points that appear in AI-generated answers. Vague claims like “trusted by businesses” are ignored.

Structured data unlocks AI parsing

Review and AggregateRating JSON-LD schema give AI engines a machine-readable version of your social proof. Without structured data, AI must infer trust from text alone — less reliable and less likely to produce featured citations in AI-generated answers.

Third-party validation is key

Self-reported claims carry little weight with AI engines. Third-party signals — press coverage, partner certifications, review platform ratings, and industry association memberships — provide external verification that dramatically increases AI citation likelihood.

The 12 social proof signals we analyze

💬

Testimonials & Quotes

Blockquotes, testimonial sections, customer quotes with attribution

Ratings & Reviews

Star ratings, review counts, AggregateRating schema markup

🏅

Trust Badges

BBB, SSL, certifications, money-back guarantees, Trustpilot

📊

Case Studies

Success stories, before/after results, specific outcome metrics

🏢

Client Logos

Trusted by sections, customer logo grids, client mentions

📱

Social Media Links

Facebook, Twitter/X, LinkedIn, Instagram, YouTube profiles

🔗

Share Buttons

Social sharing widgets, share counts, sharing mechanisms

👤

Team & Authors

Bios, credentials, Person schema, years of experience

🤝

Partners & Associations

Technology partnerships, professional memberships, accreditations

📈

Number Statistics

Clients served, years in business, satisfaction rates, team size

📰

Press & Media

As Seen In, Forbes/TechCrunch mentions, broadcast coverage

👥

Community & UGC

Comment sections, community size, user-generated content signals

Frequently asked questions

Improve your social proof score

Now that you know your Social Proof Score, use the full Vida AEO platform to audit every factor AI engines use to decide which content to cite — and get a prioritized roadmap to improve your AI search visibility.