Trust Stack™ > Author & Entity Verification
Verification Boosts Your Authority
LLMs evaluate what you publish, as well as who publishes it. If founders or contributors aren’t clearly defined, verified, and aligned across trusted networks, content authority takes a hit. We help you claim, structure, and verify the human entities behind your startup—building trust signals that fuel AI citation.
“We needed expertise around search engine rankings and they just hit the ground running.”
Kevin Harrington
Co-founder, ChatVault
“They have become a real partner helping us build the foundation of sustainable growth.”
Alex Melnyk
Co-founder, Modality
“Growth Marshal has a lot of experience in early-stage B2B, making them a great partner”
Erik Karlsson
CEO, Atrium AI
Author and Entity Verification Is Non-Negotiable in an AI-First World
LLM retrieval systems are prioritize verified human contributors and trusted publishers when deciding what content gets surfaced, cited, and recommended. If your authors aren’t verified and connected to your entity, you’ll be operating with a massive trust deficit.
E-E-A-T Heavily Weighs Verified Contributors
Expertise, Experience, Authoritativeness, and Trust (E-E-A-T) all require clear, verifiable authorship. Anonymous or unverified content gets deprioritized — or ignored entirely.
AI Systems Rely on Contributor Provenance
LLMs and RAG pipelines favor content linked to recognized human entities with trusted profiles — not random or anonymous sources.
Unverified Entities Get Demoted in Semantic Search
Without clean author schema, publisher validation, and consistent contributor signals across the web, your brand looks fragmented and untrustworthy to search engines.
Verified Human Entities Future-Proof Rankings
As retrieval becomes more identity-driven, verified contributors build durable digital footprints that insulate your rankings from algorithm shifts and AI retrieval blacklists.
Real Humans Build Real Authority
Ultimately, authority flows from real people — their history, credentials, and public trust. Structuring and verifying that reality gives you a compounding advantage.
How We Engineer Your Human Authority
We build a structured, verifiable contributor layer that search engines, LLMs, and retrieval systems recognize and trust — amplifying your authority signals and securing your place in the future of search.
💿 Author Schema Implementation
We structure and deploy detailed, compliant author schema on your website — directly linking content to verifiable human entities.
🧑🎤 Author Profile Creation and Optimization
We build or enhance author profile pages, complete with structured bios, entity links, publication history, and cross-references to trusted platforms.
👨🏫 Contributor Verification Guidance
We guide you through publisher validation programs (like Google News Publisher Center) and contributor profile optimization to maximize credibility.
📝 Contributor Content Attribution Best Practices
We implement content attribution strategies that enhance authorship trust signals — ensuring your expertise is recognized and retrievable at scale.
📐 Entity Alignment Across Platforms
We align contributor information across key third-party platforms (LinkedIn, GitHub, Substack, etc.) to reinforce consistent, verifiable identity footprints.
READY TO 10x INBOUND LEADS?
No more random acts of marketing. Access a tailored growth strategy.
Or → Start Turning Prompts into Pipeline ⚡️
Frequently Asked Questions
-
Author Verification is the process of confirming an individual’s identity and expertise when they create content on your site. By proving that your authors are who they say they are—and that they possess real-world credentials—you signal trust and authority to search engines and AI models alike. This increases the chance that your content will be cited by large language models (LLMs) and featured as a trusted source in zero-click results.
-
We deploy a multi-step verification framework:
Identity confirmation: We validate your author’s professional profiles (e.g., LinkedIn, ORCID, DUNS).
Credential vetting: We cross-check certifications, publications, or industry memberships.
Structured data implementation: We inject Person schema markup into each author’s byline, complete with sameAs, affiliation, and knowsAbout properties to maximize entity salience for AI crawlers.
-
We implement the below schema.org/Person within an Article or WebPage context. This structured data ensures AI platforms can unambiguously identify and credit your author.
{
"@type": "Person",
"name": "Author Name",
"description": "Brief bio highlighting expertise",
"sameAs": [
"https://www.linkedin.com/in/author",
"https://orcid.org/0000-0000-0000-0000"
],
"affiliation": {
"@type": "Organization",
"name": "Company or Institution"
},
"knowsAbout": ["Topic A", "Topic B", "Topic C"]
}
-
Enhanced E-A-T signals: Google’s Quality Rater Guidelines emphasize Expertise, Authoritativeness, and Trustworthiness.
Increased LLM citations: With clear entity markup, your authors are more likely to be recognized and cited as authorities by AI assistants.
Higher click-through potential: Rich author snippets (headshots, credentials) improve user trust and persuade more clicks from SERPs.
-
Turnaround typically spans 5 business days after we receive all author credentials and profile URLs. Rush options (2–3 days) are available for critical launches or time-sensitive content campaigns.
-
Absolutely. By linking your verified authors to recognized entities (e.g., Wikidata IDs, ORCID), we strengthen your overall entity footprint. This not only supports AI-native search discoverability but can also trigger Knowledge Panel enhancements for your brand or authors.
-
Author’s full name and headshot
URLs to at least two professional profiles (LinkedIn, ORCID, institutional pages)
Copies of any relevant certifications or published works
A short bio (75–100 words) outlining key expertise areas
-
Author Verification services are included in our Trust Stack Package.
The Trust Stack can be purchased a la carte and is also included in our Plus and Pro plans.
Head over to pricing to learn more →
Keep Exploring Trust Stack
Knowledge Graph Optimization
Plant your flag in AI’s go-to source for truth.
Plant your brand inside Google's structured understanding of the world by claiming and optimizing your Knowledge Graph and Wikidata presence. Establish a durable entity identity that search engines, AI retrievers, and users instantly recognize and trust.
Third-Party
Citations
Get referenced by external sites and aggregators.
Amplify your authority with strategic mentions and citations across credible, third-party sources. External validation signals to search engines and AI systems that your brand is independently trusted—not just self-promoted.
Structured Data Buildout
Blueprint your site for machine understanding.
Give algorithms a precise map of your brand's credibility by embedding structured data across your entire digital footprint. Amplify visibility in rich results and knowledge panels, ensuring your content gets cited and chosen over competitors.
AI-Native Discoverability
Align your digital presence with LLM retrieval patterns.
Engineer your digital footprint to mirror the retrieval logic of AI systems—optimizing for the embedding, citation, and surfacing patterns that large language models use to select trustworthy sources.