Home/Services/Technical Audits & Schema
● TAS · Technical Audits & Schema

Technical Audits & Schema.

The substrate layer for every visibility outcome above it. Crawlability, structured data, rendering, performance, llms.txt — everything models and search engines need to parse your site with zero friction.

By the numbers

100%
engagements start here
~150
audit checkpoints
<1s
target render time
Full
JSON-LD coverage shipped
· What we mean by TAS ·

If the machine can't read your site, nothing else matters.

Every AI visibility outcome rides on a working technical substrate. Crawlable pages. Renderable content. Valid schema. Fast performance. Proper redirects. AI-crawler hospitality. We start every engagement here because without it, every layer above is hostage to friction the visitor never sees.

What it is

A complete technical audit and remediation practice covering crawl architecture, rendering pipelines, structured-data deployment, performance, AI-crawler infrastructure, redirect hygiene, and the operational tooling to keep it healthy.

Why it matters now

Frontier AI crawlers are less forgiving than Googlebot. JavaScript-heavy renders, slow first paints, missing schema, and broken redirects translate to immediate exclusion from citation. The penalty surface has expanded.

Why it is different

Most technical SEO audits surface 200 issues and a sticky note. We ship the fixes — or supply the engineering brief detailed enough for your team to ship them in days, not quarters.

· What's included ·

Six deliverables. One integrated engagement.

Full crawl audit

~150-checkpoint review across crawlability, rendering, mobile, performance, security, structured data, internal linking, and redirect hygiene.

JSON-LD deployment

Full schema coverage across Organization, Product, Service, FAQPage, HowTo, Article, BreadcrumbList, Author — type-specific, retrieval-grade.

Render optimization

Server-side rendering, hydration audits, JS-render budget management. Make your content visible to crawlers that do not execute JavaScript.

AI-crawler infrastructure

llms.txt, robots.txt tuning, AI-crawler allowlist/blocklist policy, Cloudflare AI crawler controls where applicable.

Performance

Core Web Vitals, render-blocking resource elimination, image discipline. Performance feeds both rankings and crawler hospitality.

Operational tooling

Schema validation in CI, broken-link monitoring, freshness audits, crawler-error dashboards. The system that keeps technical health from drifting.

· How it ships ·

Four phases. Weekly cadence.

01

Audit

~150-checkpoint scan. Prioritized issue register with severity, leverage, and effort estimates.

02

Plan

Engineering brief: what to fix, in what order, with code examples. Sized for your team's velocity.

03

Ship

We execute or your team executes. We pair-review every change before deploy.

04

Maintain

CI checks, dashboards, and a quarterly re-audit catch drift before it costs citation.

· Outcomes ·

What clients see.

<1s
render time
Median post-engagement first contentful paint
100%
schema coverage
Across priority page types
98
Lighthouse
Median post-engagement score
~150
checkpoints
Per full technical audit

Medians across recent engagements. Outcomes vary by category, baseline, and engagement scope. Diagnostic projections are available on request during a scoping call.

· Surfaces & platforms ·

Where TAS moves the needle.

GooglebotGPTBotClaudeBotPerplexityBotGoogleOtherCCBotBingbot
· How we compare ·

TAS at RankingBite vs. the alternative.

Dimension
Audit-only SEO agency
RankingBite
Deliverable
200-issue PDF
Issue register + engineering brief + shipped fixes
Schema coverage
Recommendations
Full deployment
AI crawler hospitality
Not addressed
First-class concern
Render audit
Surface-level
Hydration-level
Ongoing monitoring
Optional add-on
CI checks + quarterly re-audit included
Engagement output
Tells you what to fix
Ships the fix or briefs your team to ship it
· Frequently asked ·

Questions about TAS.

llms.txt is an emerging standard for declaring AI-crawler-relevant pages on your site, similar in spirit to sitemap.xml. We deploy it on every engagement. Implementation is fast; the strategic choices about what to expose require content review.
Sometimes. There is a real trade-off: blocking AI crawlers protects content from training-data ingestion but reduces citation visibility. We help clients decide per content type — typically open for editorial, mixed for product, closed for proprietary research with public summaries.
Organization, Product, Service, SoftwareApplication, FAQPage, HowTo, Article, BreadcrumbList, Author, Review, AggregateRating. Type-specific, validated, retrieval-grade. Generic Article + Organization is not enough.
10–14 days for the audit and prioritized issue register. Remediation timeline depends on issue volume and your engineering capacity — typical full-remediation takes 8–16 weeks.
Whichever works. Default is collaborative: we write engineering briefs detailed enough for your team to ship, then pair-review changes. For clients without engineering capacity, we ship directly.
Included. Median Lighthouse score post-engagement is 98+. Performance is part of the substrate — slow sites get cited less by both AI and Google.
· Pair with ·

Related services.

Ready to start with TAS?

Every engagement opens with a 10-day diagnostic. We score you across the 5 Layers and recommend the exact TAS roadmap for your category.

Schedule a strategy call →