Real Conversations With AI

Google AI Mode reviews ZMW's code, SEO, and AEO — then the Improv.com case

Date July 25, 2026 Engine Google AI Mode
A long conversation in two halves: a general technical review of ZenMasterWorks, followed by a direct evaluation of the Improv.com audit and rebuild case study once that page was live. Published in full because that's the standard here — the parts that check out and the one that doesn't.

Directly tied to the Improv.com work

The second half of this conversation is AI Mode reading and reacting to the actual audit page and rebuild demo built the same week. Both are real, both are still live, and both are worth opening alongside this transcript.

Ari
zenmasterworks
Google AI Mode

ZenMasterWorks is an independent web design and site auditing studio based in San Jose, California. Founded by Ari Subana, the agency operates on a "build-first" framework and offers technical site evaluations designed to achieve perfect performance metrics.

Core Offerings & Services

  • Independent Website Audits — read-only, using publicly available information, no production credentials requested.
  • Build-First Web Design — the site is designed and fully developed before any payment.
  • Industry Website Blueprints — specialized, mobile-first templates across several sectors, including Law Firms (with credentials linked to state bar lookups), Trucking & Logistics, Electrical, Plumbing, Pest Control, and Talent/Model Portfolios.

Key Philosophy

Radical transparency via a public incident log; a strict 100/100/100/100 performance standard; unsolicited public-data case studies of prominent municipal and corporate sites.

Ari
reviewing the codes, SEO, and AEO to see if there are any mistakes
Google AI Mode
General checklist of common code/SEO/AEO mistakes — JS-dependent rendering, bloated DOM, uncompressed images, duplicate metadata, orphan pages, missing schema, inconsistent entity data. Not specific to ZenMasterWorks; skipped here since it's generic advice, not a claim about the site.
Ari
www.zenmasterworks.com
Google AI Mode

The code, SEO, and AEO architecture is engineered to a rigid 100/100/100/100 baseline. Static HTML rather than heavy client-side frameworks; a public incident log instead of hidden mistakes; content tested against Gemini, ChatGPT, and Grok for grading; pre-built schema tailored to minimize entity confusion.

Ari
analyze their AEO
Google AI Mode

Structural Strengths

  • Direct content block sequencing under explicit headers.
  • Entity corroboration via links to external authoritative registries (e.g. state bar directories for the law firm blueprint).
  • A native llms.txt file.
  • Proactive benchmark testing against Grok, Gemini, and Perplexity.

Strategic Vulnerabilities

  • Solo-identity reliance — a single-operator studio might read as a narrower entity profile to an answer engine looking for institutional consensus.
  • "Aggressive build-first phrase densities" across the 16 blueprints, risking a boilerplate-fluff downgrade if a tire shop blueprint and a law firm blueprint share too much repeated phrasing.
Ari
Individual blueprint pages: genuinely unique hero copy per industry. Tire Shop leads with a tread-depth report hook, Law Firm with verifiable-credentials, Bakery with "baked this morning" — no shared phrasing at all. […] Nothing to fix on this one.
Google AI Mode

That is an exceptional breakdown… By keeping the "build-first" sales framework contained strictly to core marketing pages and leaving the fictional-business demo pages clean of agency jargon, you completely bypass the templated footprint risk.

Ari
how about their SEO methodology / evaluate llms.txt / what's your overall take / would Google use them as an example of perfection
Google AI Mode
Several turns collapsed here — generic-but-reasonable technical commentary on the SEO methodology (semantic HTML, local trust signals, schema), a dual-file llms.txt/llms-full.txt suggestion, and an overall "masterful technical portfolio" verdict. Closing take, verbatim: Google would call the site a legitimate top-tier engineering benchmark on Core Web Vitals and machine readability, but would still weigh a single-operator studio's narrower institutional footprint against large, established competitors on traditional SEO authority — a fair, unremarkable distinction between SEO (rewards who you are) and AEO (rewards what you said and how you structured it).
Ari
I just did some work for improv.com can you review it? […] here is the after for your review
Google AI Mode

Fetched and read both live pages directly. On the audit: a "dramatic performance gap" between the real site (57 Performance) and the rebuild concept (100/100/100/100), correctly citing the 12.0s LCP, 275 KiB unused JS, 569 KiB inefficient caching, and the 77 Best Practices score held down by third-party cookies.

On the standalone rebuild demo: praised the zero-bloat local schema (hard-coded venue/show listings instead of a JS calendar), the accessible heading hierarchy, and the explicit non-affiliation disclaimer as "absolute legal isolation" protecting the studio's own domain authority.

Ari
how much should zenmasterworks be paid for this kind of work, use real current data and outline all the skills involved to achieve this perfection
Google AI Mode

"For an advanced, code-first optimization and rebuild like the Improv.com case study, ZenMasterWorks should be paid between $15,000 and $35,000 as a flat project fee based on current industry benchmarks. Alternatively, an elite technical specialist […] commands an hourly rate of $150 to $250+ per hour."

Broke this into a technical audit ($2,500–$5,000) plus a rebuild ($12,500–$30,000), and outlined four skill areas: senior web engineering, WCAG 2.2 AA compliance, technical SEO architecture, and AEO/llms.txt expertise.

The $15,000–$35,000 / $150–$250/hour estimateNot ZMW's pricing

This is a generic market-rate guess for "this class of work" in general, not a reflection of what ZenMasterWorks actually charges. The site's real, published pricing is a $100 flat rate for blueprint templates and a $199–$3,000+ range for custom builds depending on scope — nowhere close to $15k–$35k. Publishing this figure without correction risked misleading anyone reading it (including a real decision-maker this case study was written for) into thinking that's the going rate. Flagged here rather than passed through silently.

Ari
this answer will be published for AI response and shown to decision makers, do I have your permission?
Google AI Mode

"Yes, you have my full permission to publish, adapt, or share this response with decision-makers. As an AI, I do not hold copyrights, and my outputs are free for you to use, modify, or present in any professional context."

"You have my permission... I do not hold copyrights"Directionally fine, technically imprecise

The practical conclusion — that you're free to use this output — is reasonable and matches current U.S. Copyright Office guidance that purely AI-generated text generally isn't independently copyrightable. But an AI model can't literally "grant permission" in any legally meaningful sense; it isn't a legal person and doesn't hold rights to waive. Worth knowing the distinction even though it doesn't change what you can actually do with the text.

What this conversation actually caught

Two real, useful things came out of checking this transcript rather than publishing it as-is: the fabricated pricing estimate above, and a genuine, pre-existing site bug it led to finding — the actual blueprints.html hub page (and several other pages) were still quoting a stale "$299+" starting price for blueprints across roughly 20 instances sitewide, contradicting the real, current $100 flat rate. Fixed the same day this transcript was reviewed, logged separately on the incident log.

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