M-Powered Marketing Solutions is a San Francisco-based consultancy that rebuilds websites for the AI era — properly architected for Answer Engine Optimization, fully ADA-compliant, and ready to be cited by ChatGPT, Perplexity, Claude, and Google AI Overviews. Founded by David McKinney, who has worked in online marketing since 1998, M-Powered uses senior human architecture and AI implementation to deliver in weeks what most agencies take months and six figures to ship.
Websites built for AI search and accessibility — properly.
AEO and ADA-compliant rebuilds for operators. Architected by a senior consultant since 1998, implemented by Claude AI, delivered in weeks instead of months. We don’t take on retainers. We build it right and hand you the keys.
Three problems. One engagement.
Most operators end up hiring three different vendors to solve the modern website problem: a web developer to rebuild, an AEO consultant to optimize for AI search, and an accessibility specialist to handle ADA compliance. Three vendors, three bills, three handoffs that don’t quite connect.
We do all three in one engagement. Your site comes out the other side rebuilt, AEO-ready, and genuinely WCAG 2.2 AA compliant — not patched with an overlay, not retainer-bait, not a deck of recommendations someone else has to implement.
Why this works the way it does
AI-native delivery, senior human architecture
David McKinney architects every project, reviews every page, and owns every quality decision. Claude AI handles the implementation work — schema generation, content rewriting, accessibility audits, code generation. The result is senior consulting output at AI-native speed and cost. We’re not a body shop billing hours, and we’re not a no-code agency rebadging templates.
One engagement, then you operate
Builds are one-time, fixed-price, scope-defined. After launch, you run your own ongoing AEO with Prequire.ai — our software, built specifically for operators who want to handle this themselves. No retainer. No lock-in. Optional light maintenance if you want it; most operators don’t.
Twenty-five-plus years of pattern recognition
David has been online since 1998 — through three Google reshapings of the web. AEO is the fourth wave. We’ve seen this pattern before, and we know which signals matter, which are noise, and which to bake in at the foundation rather than patch later.
Three paths — pick the one that fits
We’re not the right answer for everyone. Most operators we talk to fit one of three paths, and we’ll tell you honestly which one is yours.
Run your own AEO with Prequire
If you’re a solo operator, marketing lead, or founder who’d rather learn the discipline and run it yourself, Prequire.ai is the tool we built specifically for you. Free to start. Same scoring engine we use on every M-Powered build.
Try Prequire free →Apply for a complete rebuild
If you want AEO + ADA done right in one engagement — fixed price, properly architected, fully handed off — apply for a build slot. We take on a small number per quarter and choose carefully.
Apply for a build →Free accessibility scan and overlay coverage with AccessiBe
If your site can’t be rebuilt right now, AccessiBe’s free accessScan gives you an instant WCAG compliance score on any URL. Their overlay solution is available as fast ADA legal coverage for sites that need it. Note: overlays don’t fix underlying HTML issues and don’t help AEO — if AI search visibility matters to you, the proper rebuild is the answer.
Run a free scan →What gets built
Every M-Powered build ships with the same foundation:
- Complete website rebuild on WordPress (or static if the project warrants)
- Schema across every page — Organization, Service, Person, FAQPage, BreadcrumbList, Speakable, HowTo
- AEO-ready content architecture — direct answers, atomic structure, anchor-linkable sections
- WCAG 2.2 AA compliance done in the underlying HTML and ARIA — not as an overlay
- Lighthouse 90+ on performance, 100 on SEO, 95+ on accessibility
- Prequire scan score 90+ across every page
- Full documentation and a recorded walkthrough video
- 30 days of post-launch support