Author Trusts

EEAT Author and Person Schema Generator

Help search engines understand who writes your content with rich Person and Author JSON-LD built for bloggers who care about experience, expertise, authoritativeness, and trustworthiness.

Create Person and Author JSON-LD

Enter your author profile details. We output a combined graph you can paste into your site head or CMS.

Frequently Asked Questions

Person schema helps search engines connect your byline, biography, and external profiles into one coherent entity. When Google can verify consistent names, roles, and expertise across your site and trusted third-party platforms, it can better evaluate whether your content reflects real experience and authority. Structured data is not a ranking guarantee, but it reduces ambiguity and aligns your public narrative with machine-readable facts.

Paste the script into the head of your primary author template or site-wide header if a single author owns the brand. For multi-author blogs, place the graph on author archive pages or article templates where the Person entity matches the byline. Keep URLs absolute, validate in Rich Results Test, and avoid duplicating conflicting Person definitions on the same URL.

Refresh your JSON-LD whenever your role, organization, expertise focus, or major credentials change. If you add new channels where you publish or speak, include those URLs in sameAs. If your bio shifts to reflect deeper specialization, update description and knowsAbout so your structured data continues to mirror the story users see on the page.

Why Use EEAT Author and Person Schema Generator?

Speed

Author Trusts turns a short questionnaire into a full Person graph in seconds, so you can ship structured data the same day you refresh your bio. Instead of hand-typing schema properties and risking typos, you focus on accurate facts while the generator handles syntax, commas, and nesting. That velocity matters when you publish often and need every article launch to include trustworthy author signals without slowing editorial cadence.

Security

Your details stay in the browser while you work, which means you can prepare sensitive profile lines without sending them through a server just to format JSON. The generator encourages HTTPS image and profile links so crawlers see consistent secure endpoints. By keeping the workflow local and transparent, Author Trusts reduces accidental data sprawl and helps you adopt structured data without exposing credentials in unfamiliar tools.

Quality

Author Trusts maps your inputs to schema.org Person with careful attention to sameAs arrays, knowsAbout topics, and organization linkage so the output reads like a deliberate entity description rather than a minimal stub. Clean JSON reduces validation errors in Search Console and communicates expertise with fields reviewers expect. When your byline and JSON-LD tell the same story, readers and algorithms both encounter a coherent portrait of your authority.

SEO

Structured Person data supports eligibility for rich contexts where Google needs to trust who created the content, especially in Your Money Your Life adjacent topics where provenance matters. Author Trusts helps you publish JSON-LD that reinforces topical expertise through knowsAbout and credible sameAs links. Combined with visible bios and internal linking, your site sends clearer EEAT alignment signals that complement traditional on-page optimization.

Who Is This For?

Bloggers

Independent publishers use Author Trusts to attach robust Person JSON-LD to recipe roundups, travel diaries, and opinion essays without hiring a developer for every template change. When your niche rewards personal credibility, the generator encodes your beats and social proof so editors and readers see the same identity search engines parse.

Developers

Engineers who maintain static sites or headless stacks can prototype Author Trusts output locally, then commit the JSON-LD into partials or edge functions. The tool accelerates QA by producing predictable structures you can snapshot test in CI, ensuring author pages stay aligned with schema.org expectations after refactors.

Digital Marketers

Marketing teams coordinate EEAT upgrades across contributors by collecting standardized author questionnaires and turning them into Author Trusts graphs for each expert. Campaign launches become faster when structured data keeps pace with new spokespeople, webinars, and bylined articles tied to measurable organic goals.

The Ultimate Guide to EEAT Author and Person Schema for Bloggers

What this tool is

Author Trusts is a focused utility that transforms the facts you already publish in an author biography into structured data that search engines can ingest reliably. Instead of treating JSON-LD as a coding chore reserved for large publishers, the generator gives bloggers a guided path from plain language inputs to a detailed Person definition. You supply your name, role, narrative description, headshot, canonical author URL, optional organization affiliation, expertise topics, and public profile links. The application composes those elements into a standards-aligned graph that highlights who you are in a machine-readable format. The output emphasizes schema.org types and properties commonly associated with credible authors, including sameAs for corroboration and knowsAbout for topical focus. It is designed to complement visible trust signals on the page rather than replace them, which keeps your human story and your structured data aligned.

The generator also emits a WebPage node that references the Person as author, which mirrors how many content management systems connect articles to creators. That pairing helps you think beyond isolated fields and toward a complete entity story: who you are, where your profile lives, and how a page about you should relate to your identity graph. You can paste the JSON-LD into a head partial, a static site generator template, or a tag manager slot if your governance allows. Because the output is plain JSON, it fits modern workflows that treat structured data like any other versioned asset.

Finally, the interface is opinionated in a helpful way. It asks for HTTPS links, encourages substantive bios, and separates social URLs line by line so you do not accidentally concatenate profiles into invalid strings. Those constraints reduce common errors that waste time during validation. The result is not a mysterious black box; it is a structured reflection of facts you already intend to publish, formatted for machines without stripping your voice.

Why it matters

Search systems increasingly evaluate whether content comes from people with relevant experience, especially where decisions affect health, money, or safety. EEAT is not a single checkbox; it is a pattern of evidence that spans your site and the wider web. Person schema contributes a precise layer of entity information that helps disambiguate you from others with similar names and clarifies how your professional identity connects to your articles. When your byline links to a robust bio, and that bio matches structured fields such as jobTitle, worksFor, and authoritative sameAs URLs, you reduce friction for systems that reconcile entities across sources. Readers also benefit because consistent metadata encourages you to maintain accurate bios, photos, and expertise statements, which improves transparency even before algorithms interpret a single field.

Strong authorship clarity also supports internal site quality. Editors can audit whether experts truly align with the topics they cover, and sales or partnership teams can reference consistent profiles without hunting through outdated spreadsheets. Structured data becomes a shared source of truth that marketing copy, author pages, and campaign materials can all reference. When organizations grow, that alignment prevents the slow drift where one page says “contributor” while another implies “medical reviewer” without supporting detail.

Person markup is not a substitute for excellent writing, original research, or ethical disclosure. It is a companion signal that helps good work look as credible as it is. Used responsibly, it rewards transparency and punishes laziness, because empty or misleading fields stand out more clearly when they sit next to explicit claims in JSON. That is why the generator emphasizes accurate expertise lists and real social endpoints rather than stuffing keywords into every available slot.

How to use it effectively

Start by drafting your short bio in plain language that reflects what you actually do, then trim it to the most verifiable claims you can support with published work or public profiles. Enter HTTPS URLs for your headshot and author page to avoid mixed content issues and to reinforce canonical identity. List expertise topics as concrete subjects you routinely cover, not vague marketing phrases, because those values populate knowsAbout with meaningful specificity. Add social and publisher profiles that truly belong to you, prioritizing platforms where you have a sustained presence. Generate the JSON-LD, validate it with Google Rich Results Test, and place it on the template that serves your author presence. After deployment, monitor coverage reports for structured data warnings and update the graph when your career evolves.

Coordinate with your article templates so the visible byline links to the same author URL you encode in structured data. If your site lists multiple contributors, ensure each author page uses a distinct Person identifier and that guest posts reference the correct entity. For single-author brands, keep your graph synchronized with your newsletter signup page and contact routes so third-party signals align with on-site identity. When you launch new series, revisit knowsAbout to reflect the new cluster of topics if you intend to own them long term.

Establish a lightweight governance habit. When you update LinkedIn or a speaker bio for a conference, mirror those changes on your site and regenerate JSON-LD if needed. The cost of a few minutes per quarter is far lower than recovering from inconsistent entities scattered across plugins. Save your JSON in your repository with a short note in your changelog so teammates understand when and why author markup changed.

Common mistakes to avoid

Many sites publish thin Person markup with only a name and image, which misses opportunities to express expertise and corroboration. Others cram keywords into the bio field in ways that read unnaturally to humans even if parsers accept the string. Some authors list social URLs that redirect aggressively or return errors, weakening the sameAs network. Duplicate or conflicting Person entities on the same page can also confuse crawlers when templates stack plugins and manual snippets. Author Trusts helps you avoid syntax errors, yet editorial judgment still matters: keep claims factual, synchronize structured data with visible author modules, and refresh your graph when you change roles or focus areas. Treat structured data as a living profile, not a one-time patch.

Avoid treating schema as a magic layer that compensates for shallow articles. If your posts rely on secondhand summaries without experience-backed detail, structured data will not salvage trust. Likewise, do not fabricate credentials in JSON that you would not print on a resume. Authenticity scales better than exaggeration because reputational risk grows with visibility. Keep your Person definition aligned with what a reasonable reader would believe after clicking your profiles.

Lastly, watch for duplicate WebPage or Person nodes injected by unrelated plugins. If warnings appear in Search Console, consolidate to a single authoritative graph per URL and remove redundant snippets. The generator is most effective when it represents the intentional, reviewed author entity rather than competing with forgotten experiments from years past.

How It Works

1

Enter author facts

Provide your name, role, bio, and canonical URLs so the generator knows which Person to describe.

2

Add expertise and profiles

List topics and social URLs that prove your experience and connect to trusted third-party identities.

3

Generate JSON-LD

Author Trusts assembles a Person graph with Author-ready linkage patterns you can paste into your templates.

4

Validate and publish

Test with Rich Results, embed on your author page, and update whenever your credentials change.

About Author Trusts

Author Trusts builds simple, honest tools that help independent publishers present credible identities on the open web. We believe transparent authorship strengthens journalism, tutorials, and community knowledge, and structured data should be accessible to anyone willing to invest in accurate biographies.

Our EEAT Author and Person Schema Generator reflects that mission by translating careful author inputs into JSON-LD you can trust in production environments.

Author Trusts Journal

What is EEAT Author and Person Schema Generator and why every serious blogger needs it

Estimated read time: 11 minutes

Meta description: Learn how Author Trusts helps bloggers publish credible Person JSON-LD that reinforces experience, expertise, authoritativeness, and trustworthiness without writing code by hand.

Understanding the gap between a byline and an entity

Most blogs already show an author name near the title, yet many of those bylines float without a durable connection to a verified profile page. Search engines treat names as ambiguous strings until they can map them to stable entities with corroborating evidence. The EEAT Author and Person Schema Generator from Author Trusts closes that gap by giving you a repeatable method to express your identity in JSON-LD. You enter the same facts you would share with a reader, and the tool returns structured fields that align with schema.org Person. This matters because EEAT is not only about what you say in paragraphs; it is about whether trustworthy signals reinforce one another across your site and beyond.

Why bloggers feel EEAT pressure now

Helpful content updates and quality ratifier guidance both emphasize provenance and reliability, especially when topics touch well-being or financial outcomes. Independent creators may not have brand newsrooms, but they can still demonstrate credentials through published portfolios, speaking channels, and transparent bios. Author Trusts accelerates the technical side so you can focus on editorial depth. When Person markup includes accurate job titles, organization affiliations, and sameAs URLs, you make it easier for systems to recognize a coherent author story rather than a disconnected string on every post.

How the generator fits your workflow

Instead of copying snippets from outdated tutorials, you work through a form tuned to EEAT storytelling. You describe expertise as topics you routinely cover, which maps cleanly to knowsAbout. You list social profiles that belong to you, feeding sameAs with URLs crawlers can verify. You paste HTTPS links for your portrait and author page so visual and canonical identity line up. The generator returns a JSON-LD graph ready for validation, which reduces back-and-forth with developers when you refresh your bio after a major project or certification.

Measuring impact with discipline

Structured data is one input among many, so treat improvements as part of a broader quality plan. Update thin articles, cite reputable sources, and maintain visible contact pathways alongside your schema upgrades. When you combine substantive edits with Person JSON-LD from Author Trusts, you signal seriousness to readers first and search engines second. Revisit your markup quarterly or whenever your role changes so structured data stays synchronized with real life.

Return to the generator and publish your next author profile upgrade today.

EEAT Author and Person Schema Generator versus manual alternatives: which saves more time?

Estimated read time: 12 minutes

Meta description: Compare hand-written JSON-LD, CMS plugins, and Author Trusts to see which approach delivers accurate Person schema fastest for busy bloggers.

The hidden cost of manual JSON-LD

Writing Person markup by hand teaches syntax, yet every edit risks a missing comma, an incorrect property name, or an outdated context URL. For bloggers shipping multiple times per week, those errors steal time away from research and outreach. Manual work also encourages minimalism, which leads to thin schema that undermines EEAT goals. You might ship only name and image because expanding the object feels tedious, even when you have richer facts available.

Where CMS plugins fall short

Plugins can automate basics, but they often generalize across many site types and may not capture niche expertise fields or flexible sameAs lists. Conflicts arise when multiple plugins inject overlapping graph fragments, producing warnings in Search Console. Author Trusts offers a single-purpose path: you control the exact biography text and URLs, then paste one coherent graph. That clarity matters when you need predictable output for a custom theme or static generator.

Speed comparisons in real editorial cycles

In practice, generating a full Person object with Author Trusts takes minutes when your materials are ready, while manual drafting and validation can stretch across an afternoon if you chase down syntax issues. The generator keeps field names consistent and formats arrays correctly, which shrinks QA time. Teams also benefit because writers can propose structured data in a shared document before developers merge it into templates, reducing miscommunication.

Choosing the right mix of tools

Use plugins for site-wide defaults if they are stable, then layer Author Trusts when you need a bespoke author entity for campaigns or expert contributors. For entirely static sites, the generator is often the fastest bridge between narrative bios and deployable JSON-LD. The best choice is whichever keeps your structured data accurate, current, and aligned with visible content without slowing publication cadence.

Return to the generator and compare your next schema sprint with confidence.

How to use EEAT Author and Person Schema Generator to improve your SEO in 2026

Estimated read time: 12 minutes

Meta description: Practical 2026 SEO steps for pairing Person JSON-LD from Author Trusts with content upgrades that reinforce experience and expertise signals.

Start with an honest author audit

Before you paste new JSON-LD, inventory the pages that represent you: author archives, about pages, category hubs you lead, and cornerstone articles. Ensure each surface tells a consistent story about your background and the topics you own. Search engines compare structured hints with visible text, so alignment strengthens trust. Note outdated employer names, broken avatars, or profiles you no longer maintain, then fix those items in HTML before updating schema.

Generate structured data with future-facing fields

Use Author Trusts to encode expertise topics that match your 2026 editorial calendar, not only past successes. If you plan deeper coverage in sustainable travel or clinical nutrition, reflect that focus in knowsAbout while keeping claims supportable. Add new speaking gigs or newsletters to sameAs when those endpoints are live and representative. The generator makes it simple to regenerate after each milestone, which keeps your entity fresh without a rewrite from scratch.

Pair schema with on-page optimization

Schema does not replace helpful headings, citations, and firsthand detail. Enrich articles with demonstrable experience, original photography, and transparent methodologies where appropriate. Internal links from new posts to your author page distribute signals and help readers discover your credentials. When structured data and content reinforce each other, you build a credible arc that lasts beyond algorithm updates.

Monitor, test, and iterate responsibly

After deployment, run Rich Results Test on representative URLs and monitor coverage in Search Console. Investigate warnings early, especially duplicate entity issues. Schedule periodic reviews so your Person graph evolves with your career. SEO in 2026 rewards sites that maintain accuracy over time, and Author Trusts reduces the friction of keeping structured author data current.

Return to the generator to refresh your JSON-LD for the year ahead.

Top five use cases for EEAT Author and Person Schema Generator you have not thought of

Estimated read time: 11 minutes

Meta description: Uncommon ways teams deploy Author Trusts to strengthen guest experts, newsletter writers, and migration projects with robust Person JSON-LD.

Guest experts with episodic visibility

Publications that invite specialists for limited series can publish unique author pages quickly, then generate tailored Person graphs that reflect each guest’s actual profiles. Author Trusts prevents generic placeholders by prompting for concrete expertise topics and real sameAs URLs, which protects credibility when those experts appear across only a handful of posts.

Newsletter-first creators expanding to the web

Writers who built audiences on email can use the generator when launching archives on the open web. The tool captures cross-platform identity by listing subscription hubs and social endpoints together, helping search engines connect newsletter authority with new HTML pages.

Engineering blogs with rotating reviewers

Technical teams can create structured profiles for senior reviewers who sign off on security content without writing every article. Clear job titles and organization fields in JSON-LD clarify why those reviewers matter even when their bylines appear infrequently.

Site migrations with messy legacy markup

During platform moves, developers can rebuild clean Person entities with Author Trusts instead of transferring broken plugins wholesale. Fresh JSON-LD becomes part of acceptance testing alongside redirects and sitemap updates.

Portfolio refreshes before sponsorship seasons

Creators preparing sponsorship decks can synchronize public bios, structured data, and media kits by generating updated graphs after adding new certifications. Brands increasingly look for coherent digital footprints, and aligned schema supports due diligence.

Return to the generator and explore a new use case for your team.

Common mistakes when publishing author structured data and how EEAT Author and Person Schema Generator fixes them

Estimated read time: 12 minutes

Meta description: Avoid thin bios, broken sameAs links, and conflicting Person entities with a disciplined process powered by Author Trusts.

Mistake one: treating schema as decoration

Some teams add Person markup because they heard it helps SEO, yet the visible bio remains a single sentence. Mismatched depth between HTML and JSON-LD creates dissonance for readers and ratifiers. Author Trusts encourages you to compose a substantive bio block first, then mirrors that narrative in structured fields, nudging you toward consistency.

Mistake two: stale or circular sameAs links

Listing profiles that redirect to unrelated destinations, or duplicating the author page URL across multiple slots, weakens corroboration. The generator’s social URL field prompts for distinct endpoints, reminding you to diversify proof points responsibly.

Mistake three: ignoring HTTPS and canonical hygiene

Mixed HTTP images or missing author canonical URLs confuse crawlers evaluating entity identity. Author Trusts asks for explicit author and image URLs so you confront those details before publishing.

Mistake four: conflicting graphs from stacked plugins

When multiple tools inject Person data, warnings multiply. A single graph produced offline, validated, and pasted intentionally reduces collisions. Teams can document versioning in Git when using Author Trusts output as the authoritative snippet.

Return to the generator and replace guesswork with a repeatable author data workflow.

About Author Trusts

Our Mission

Author Trusts exists to make credible authorship technically straightforward for independent publishers who cannot afford enterprise SEO suites. We believe transparent identities strengthen the web, and small teams deserve tooling that respects their time while encouraging honest representation. Our mission is to bridge editorial storytelling and structured data so bloggers can communicate expertise in formats both humans and machines understand.

We focus on practical outcomes: fewer validation errors, clearer entity graphs, and faster updates when careers evolve. By lowering the barrier to high quality JSON-LD, we aim to diversify voices that show up reliably in search ecosystems without forcing creators to become full-time developers.

We also champion education alongside tooling, explaining not only how to paste schema but why accuracy and consistency matter for readers first. Trust is earned through content and conduct; structured data simply helps the world recognize the people behind the work.

What We Build

Our flagship experience, the EEAT Author and Person Schema Generator, translates author questionnaires into detailed Person graphs aligned with schema.org guidance. Bloggers, marketers, and developers use it to prepare production-ready JSON-LD for author templates, static pages, and CMS integrations. The interface emphasizes verifiable facts, HTTPS resources, and topic clarity so your structured data reinforces rather than exaggerates your story.

We design for accessibility and mobile workflows because many publishers operate from laptops and phones between deadlines. The output is plain text JSON-LD you can version, review, and test like any other asset.

Our Values

Privacy. We architect flows so everyday preparation can happen locally in the browser, encouraging you to treat sensitive credentials carefully and avoid sharing passwords in support channels. We document data practices transparently and avoid surprise collection in simple tools.

Speed. We optimize the path from idea to validated markup so you can ship improvements during the same editorial sprint. Fast tooling respects creative momentum and reduces the temptation to postpone structured data updates.

Quality. We prioritize outputs that validate cleanly and read sensibly to humans who audit JSON. Quality means fewer emergency fixes at launch and clearer communication between writers and engineers.

Accessibility. We strive for readable typography, sufficient contrast, and keyboard-friendly controls because publishers of all abilities should be able to adopt EEAT best practices without friction.

Our Commitment to Free Tools

Author Trusts provides free utilities because broad access to structured data benefits the ecosystem. Sustainable operations may include unobtrusive advertising or optional sponsorships in the future, yet our commitment remains to keep core generators available at no charge for typical blogger use cases. We will communicate material changes clearly and maintain respectful user experiences.

Contact and Feedback

We welcome ideas that improve author transparency. Reach us at haithemhamtinee@gmail.com with questions about structured data workflows, accessibility, or partnerships that align with our mission. We read thoughtful feedback and use it to prioritize improvements that help publishers succeed.

Contact Author Trusts

We are glad you want to reach Author Trusts. Use the email below for product questions, structured data guidance, or feedback about the EEAT Author and Person Schema Generator.

Support email

haithemhamtinee@gmail.com

We typically respond within 24–48 hours.

What to include

Help us help you by adding a clear subject line, a concise description of your question or issue, the browser and device you used, and relevant URLs. If something looks wrong on screen, attach a screenshot or short screen recording when possible.

Business inquiries versus support

For sponsorships, data processing agreements, or media requests, email the same address with “Business” in the subject line and include company details. For everyday help with the generator, choose a subject that mentions “Support” so we can triage quickly.

Privacy when you contact us

Email may transit third-party providers; avoid sending passwords or highly sensitive personal data. Share only what we need to diagnose issues. We use your messages to respond and improve documentation, not to build unrelated marketing profiles.

Privacy Policy

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Introduction and Who We Are

Author Trusts provides web-based tools, including the EEAT Author and Person Schema Generator, to help publishers create structured data. This policy explains how we handle information when you use our site. We aim for clarity because privacy expectations matter as much as SEO outcomes. When we say “Author Trusts,” “we,” or “us,” we refer to the operator of this website. When we say “you,” we mean visitors and users interacting with our services.

Using the site means you acknowledge this policy alongside our Terms of Service. If you disagree with essential practices described here, please discontinue use of the services.

We describe categories of data in plain language because transparency supports trust. Where choices exist, we aim to present them clearly, including through cookie controls and analytics settings offered by third-party vendors. Nothing in this policy is intended to surprise you after the fact; if we introduce materially new processing, we will update this document and the last updated date shown above.

What Data We Collect

We may collect content you type into generators while those sessions run, depending on implementation. Many interactions occur locally in your browser without transmission to our servers, yet network infrastructure may still log technical metadata as described below. We may collect usage data such as pages viewed, approximate time on page, and interaction patterns when analytics tools are enabled. Cookies and similar technologies help remember preferences and distinguish sessions. Server logs may include IP addresses, user agent strings, and timestamps for security and diagnostics.

If you email us, we collect your address and message contents necessary to respond. We do not request sensitive government identifiers for basic support.

Technical metadata can include referrer headers, approximate geography derived from IP at a coarse level, device category, and browser version. We use such information to troubleshoot errors, detect abuse, and understand compatibility issues across environments. We do not use this information to make automated decisions with legal or similarly significant effects about you.

Where forms ask for author details to build JSON-LD, treat those fields as potentially sensitive. Prefer generating structured data on devices you control and avoid submitting secrets into any web form unless you understand how it is processed. Our goal is to minimize unnecessary retention of creative content beyond what operation requires.

How We Use Your Data

We use information to operate and improve the site, diagnose errors, understand aggregate usage trends, and respond to inquiries. Analytics help us prioritize features responsibly. Advertising technologies may use data to show relevant ads where enabled. We do not sell your personal information as a standalone product.

Product improvement activities may include testing new layouts, measuring scroll depth on long guides, and comparing engagement across help sections. When we evaluate experiments, we favor aggregated metrics over individual profiling unless you have consented to personalization features that require individual analysis.

Security uses may include rate limiting, bot mitigation, and fraud screening patterns that rely on IP reputation signals. We retain security logs only as long as needed to investigate incidents and meet compliance obligations.

Cookies and Tracking Technologies

We use cookies to enable essential functions, remember preferences, and support analytics or advertising where configured. Local storage may cache UI preferences. You can control cookies through browser settings, though some features may degrade if essential cookies are blocked. We document categories in our Cookies Policy.

Some technologies operate across sessions to remember consent choices or to keep navigation efficient on repeat visits. Where required by law, we present options before enabling non-essential cookies. You may withdraw consent later by clearing cookies and revisiting the site, understanding that essential cookies may still be needed for basic operation.

Third-Party Services

We may integrate Google AdSense to display advertisements and Google Analytics to measure traffic. These providers process data under their own terms and policies. They may set cookies or use identifiers to measure performance and ad relevance. Review Google’s resources for ad personalization controls and analytics opt-outs where available.

Third-party integrations may change features over time. We select vendors with strong security track records, yet we cannot control every subprocessors’ practices. We encourage periodic review of vendor privacy notices, especially when browsers introduce new tracking protections that affect measurement accuracy.

Your Rights Under GDPR

If the GDPR applies to you, you may request access, rectification, erasure, restriction, or portability of personal data we control, and you may object to certain processing. You may withdraw consent where processing relies on consent. You may lodge a complaint with a supervisory authority. We will verify requests consistent with applicable law and may need additional information to confirm identity.

We respond within statutory timelines where applicable. If we decline a request, we will explain the reason unless prohibited. You may also have rights under other regional laws, including access and deletion rights in some U.S. states; contact us to exercise those rights where available.

Data Retention

We retain information only as long as needed for the purposes described, legal compliance, dispute resolution, and legitimate business interests. Server logs rotate on schedules appropriate to infrastructure. Support emails remain until no longer needed unless a longer period is required by law.

Aggregated analytics may persist in dashboards after underlying events expire, since summaries no longer identify individuals. When we delete personal data, residual copies may linger briefly in encrypted backups until routine rotation completes.

Children’s Privacy

The site is not directed to children under thirteen, and we do not knowingly collect personal information from children. If you believe a child provided information, contact us so we can delete it promptly.

Changes to This Policy

We may update this policy to reflect product, legal, or operational changes. We will revise the last updated date and, when appropriate, provide additional notice. Continued use after changes constitutes acceptance unless applicable law requires a different standard.

Contact Us

Questions about privacy can be sent to haithemhamtinee@gmail.com.

Terms of Service

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Acceptance of Terms

By accessing Author Trusts, you agree to these Terms of Service and our Privacy Policy. If you do not agree, do not use the site. We may update these terms, and the revised version will apply when posted unless stated otherwise.

Continued use after updates constitutes acceptance of the revised terms except where applicable law requires explicit consent. We will adjust the last updated date at the top of this document when material changes occur. If you use the tools on behalf of an organization, you represent that you have authority to bind that organization.

Description of Service

Author Trusts offers tools such as the EEAT Author and Person Schema Generator to help users create JSON-LD markup. Features may change, and availability is not guaranteed. The service is provided for informational and productivity purposes and does not constitute legal advice.

We may add educational articles, navigation updates, or experimental interfaces to improve usability. Generated outputs depend on the accuracy of user inputs; we do not independently verify biographical claims or profile URLs you supply. You should validate structured data with official testing tools before relying on it in production.

Permitted Use and Restrictions

You agree to use the service lawfully and respectfully. You may not attempt to disrupt servers, scrape the site in ways that degrade performance, reverse engineer except as permitted by law, or misuse generated content to deceive users or search engines. You remain responsible for the accuracy of information you publish.

Automated access must respect robots guidance where provided and must not impose unreasonable load. You may not use outputs to misrepresent authorship, impersonate individuals, or fabricate expertise signals. Commercial resellers may not frame the service as an official partnership without written permission.

Intellectual Property

Site design, branding, and original content belong to Author Trusts or licensors. Generated JSON-LD produced from your inputs is yours to use on your properties subject to third-party rights in underlying facts and images. Do not remove required notices where applicable law demands attribution.

Disclaimers and No Warranties

The service is provided “as is” without warranties of any kind, express or implied, including merchantability, fitness for a particular purpose, or non-infringement. Search engines may change how they interpret structured data, and results are not guaranteed.

Limitation of Liability

To the fullest extent permitted by law, Author Trusts is not liable for indirect, incidental, special, consequential, or punitive damages, or for lost profits, data, or goodwill arising from your use of the site. Aggregate liability for direct damages shall not exceed the greater of amounts you paid us for the service in the prior month or zero if the service is free.

Cookie Notice and GDPR Compliance

We use cookies as described in our Cookies Policy and Privacy Policy. Where required, we seek appropriate consent for non-essential cookies. GDPR rights are described in our Privacy Policy.

Links to Third-Party Sites

The site may reference external resources. We do not control third-party sites and are not responsible for their content or practices. Review their policies before engaging.

Modifications to the Service

We may modify, suspend, or discontinue features to improve security, performance, or compliance. We will aim to minimize disruption and provide notice when practical.

Governing Law

These terms are governed by applicable laws without regard to conflict of law principles, except where consumer protections require otherwise. Courts with jurisdiction may hear disputes as permitted by law.

Contact

For legal notices or contractual questions, email haithemhamtinee@gmail.com.

Cookies Policy

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What Are Cookies

Cookies are small text files stored on your device when you visit websites. They help sites remember preferences, keep you signed in where applicable, and support analytics or advertising. Similar technologies include local storage and pixel tags. Author Trusts uses cookies responsibly and explains categories below.

How We Use Cookies

We use cookies to enable essential functionality, analyze traffic patterns, and deliver or measure advertising where integrated. Cookies help us understand which pages are useful and how visitors navigate the site. We avoid unnecessary duplication and align usage with this policy.

Types of Cookies We Use

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Third-Party Cookies

Google Analytics and Google AdSense may set additional cookies or read identifiers subject to their policies. Those providers process data for analytics and advertising purposes. You can review Google’s consent and opt-out tools for more control.

How to Control Cookies

Chrome

Open Settings, choose Privacy and Security, then Cookies and other site data. You can block third-party cookies, clear browsing data, or use incognito mode for temporary sessions.

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Open Settings, select Privacy and Security, then manage cookies and site data. Firefox offers strict tracking protection options that limit cross-site cookies.

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Open Preferences, select Privacy, and manage cookies and website data. Safari includes intelligent tracking prevention features that reduce cross-site tracking.

Edge

Open Settings, choose Cookies and site permissions, then manage cookies and stored data. Edge provides tracking prevention settings similar to other Chromium-based browsers.

Cookie Consent

Where required, we display a consent banner or modal for non-essential cookies. You may withdraw consent by clearing cookies and adjusting browser settings. Essential cookies may remain necessary for basic operation.

Contact

Questions about cookies can be sent to haithemhamtinee@gmail.com.