Every release you submit is personally reviewed and approved by me
I'm Paul Andre de Vera, enterprise SEO and Answer Engine Optimization strategist, digital PR practitioner, and founder of PR STACKS. I have spent more than 20 years helping companies earn visibility, build authority, and turn search into measurable business growth.
When you submit a press release through PR STACKS, it does not go into a queue for an automated system or a junior contractor. I read it. I review the structure, the optimization, the entity signals, and the distribution fit. I approve it before it goes anywhere.
My reputation is part of every release
I have spent more than two decades building relationships, producing results, and earning the trust of clients, colleagues, and the search community. My name is on this platform. That means every release that goes out through PR STACKS reflects on me directly.
I do not approve releases that are misleading, poorly constructed, or likely to damage the credibility of the outlets we distribute to. I look at each release the way an editor would: Is the story clear? Is the structure right? Will this hold up in search? Does it deserve to be published?
That standard is not a process overhead. It is the reason clients trust us with announcements that matter to their business.
Personal review
I read every submission before it goes to distribution. No exceptions.
Proprietary tactics applied
Every release gets my proprietary SEO and AEO optimization. No checklists, no templates. Built from 20+ years of enterprise search experience.
Not an ordinary wire
Standard wire services distribute without optimizing. I apply entity signals, structured data, and AI-readability tactics that most PR services don't know exist.
A career built through search
My work spans enterprise software, financial technology, cybersecurity, recruiting technology, ecommerce, retail, local business, media, and artificial intelligence. I have worked with organizations including SAP SuccessFactors, SmartRecruiters, Anaplan, Workday, Stripe, Dropbox DocSend, and Twingate.
I approach visibility as a system, not a collection of isolated tactics. That means looking at the full picture: technical foundation, content, brand reputation, media coverage, subject-matter expertise, structured data, third-party citations, and the signals that influence how both traditional search engines and AI platforms understand an organization.
I also understand what it means to build a business from the ground up. My streetwear brand Filthy Dripped grew from a local creative project into a globally distributed brand with multiple retail locations. I am a co-owner of Quickly Benicia, a community-focused boba and Filipino food concept in the San Francisco Bay Area. I know what it feels like when every marketing decision has real financial consequences.
That combination of entrepreneurial experience and enterprise discipline is why PR STACKS is built the way it is: thoughtfully, with genuine care for the outcome, not just the output.
Selected enterprise accomplishments
Results from programs I led or contributed to at major technology companies.
~200% organic traffic growth in key international markets. BrightEdge Award for Best International SEO (2019). Program connected to hundreds of millions in influenced revenue.
70% increase in net-new targeted companies. Reported 32x return on investment combining SEO, content, paid media, and ABM.
Doubled page-one keyword rankings. 58% increase in conversions. 1.4M+ search impressions. Built topic clusters around competitive categories.
174% increase in non-branded organic traffic. 121% increase in page-one rankings over 12 months. CTA experiment drove ~$3M in projected annual value.
From SEO to Answer Engine Optimization
Search is no longer limited to a list of blue links. People now discover information through Google AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity, Copilot, YouTube, and other recommendation systems. I recognized this shift early and created AEO.so, a platform dedicated to Answer Engine Optimization.
I do not publish theories about AI search. I test them. I build websites, create entities, publish structured content, earn citations, analyze query fan-outs, and document what happens. Some experiments have produced page-one rankings, AI Overview visibility, and generative citations within hours of publication.
Education and experimentation platform for AI search visibility with 150+ practical tactics.
Helps marketers understand how a single search expands into multiple related queries.
Free tool evaluating content quality, trust, expertise, and AI-search readiness.
Weekly show featuring conversations with respected professionals across SEO, PR, content, and AI, running for 6+ years.
Why I built PR STACKS
Wire services have existed for decades. What they have never done is care about what happens after distribution. They send your release to a network and call it done, with no optimization, no entity signals, and no thought given to how AI platforms will read or cite the content.
PR STACKS is not that. This is not an ordinary press release distribution service. Every release submitted through PR STACKS receives proprietary SEO and AEO tactics developed from more than 20 years of enterprise search work. These are the same tactics I used to get clients cited in ChatGPT, Perplexity, and Google AI Overviews without a single change to their websites.
Those tactics include entity tagging, structured data markup, citable paragraph architecture, FAQ schema, and AI-readability formatting. None of this is on a checklist. It is applied with judgment, because judgment is the one thing automated distribution cannot replicate.
Every release I approve is part of that effort. And because my reputation is part of every engagement, the standard never moves.
The resultI was able to get clients cited and mentioned in AI search (ChatGPT, Perplexity, Google AI Overviews) without ever touching their websites.
PR STACKS is the only off-page optimization campaign you'll ever need. Not because of the distribution volume, but because of what that distribution does to your company's information footprint in the systems that are now deciding who gets recommended and who gets ignored.