Technical Audit & Schema
The substrate every other outcome rides on, crawl, render, schema and speed, fixed rather than listed.
- Pillar
- SEO & Link Building
- Engagement
- Retained, monthly
- Ownership
- One senior strategist
- Reporting
- Weekly digest, monthly review
- Pairs with
- SEO, Entity & Knowledge Graph
A technical SEO audit is a structured review of how machines crawl, render and interpret a site, producing a prioritised remediation plan rather than an undifferentiated issue list.
Why the technical layer decides everything above it
If a crawler cannot reach, render or parse a page, no amount of content or authority work above it will land. Substrate problems are silent and expensive.
AI crawlers are less forgiving
Several retrieval crawlers do not execute JavaScript and time out quickly. Content that only exists after hydration effectively does not exist for them.
Schema is now read, not just displayed
Structured data was a route to rich results. It is now also how a retrieval pipeline confirms what a page is about and who published it.
Audits without fixes change nothing
A two-hundred-item findings document that nobody has capacity to implement is a cost, not a deliverable. The value is in what ships.
How does Technical Audit & Schema work?
Audit
Prioritised issue register with severity, leverage and effort estimates.
Brief
An engineering plan detailed enough for your team to ship, with code examples.
Ship
We execute or your team does; every change pair-reviewed before deploy.
Guard
CI checks and a quarterly re-audit.
What is included?
Full crawl audit
Roughly 150 checkpoints across crawl, render, mobile, performance and structured data.
JSON-LD deployment
Type-specific schema across every page type, validated.
Render optimisation
Server-side rendering and hydration audits so crawlers see your content.
AI crawler policy
llms.txt, robots rules and a considered allow/block position per content type.
Core Web Vitals
Performance work that serves rankings and crawler hospitality together.
CI guardrails
Schema validation and crawl-error monitoring so health does not drift.
How is technical work measured?
Crawl and render health, schema coverage and page performance, each with a before figure and a shipped-by date rather than a severity label.
- Crawl coverage: share of priority pages reachable and indexable
- Render parity: what a non-JavaScript crawler sees versus a browser
- Schema coverage: valid, type-appropriate structured data across page types
- Core Web Vitals: field performance on the templates that matter
- Issue burn-down: findings closed, not findings raised
BASELINE FIGURES · TO SUPPLY PER CLIENT
Where does it apply?
How does this differ from an audit-only engagement?
| Dimension | Audit-only agency | RankingBite |
|---|---|---|
| Deliverable | A findings document | A prioritised register plus shipped fixes or an engineering brief |
| Prioritisation | Severity labels | Leverage against effort, sequenced for your release cycle |
| Schema | Recommendations | Deployed and validated |
| AI crawler handling | Not addressed | Explicit policy per content type |
| Follow-through | Ends at delivery | Re-audit and regression checks |
Is a technical engagement right for you?
A good fit when
- Rankings or citations stalled without an obvious content cause.
- You have migrated, replatformed or launched a JavaScript rewrite.
- You have engineering capacity to ship, or want us to ship.
Not the right service when
- You have a recent audit already implemented in full.
- The real constraint is that nobody is writing anything.
- You need a certificate rather than a change.
Every engagement we run starts here, because a broken substrate makes the rest of the programme unmeasurable.
Proof
Four documented engagements. Figures are confirmed with each client before publication rather than estimated.
Frequently asked questions
What is llms.txt?
An emerging standard for declaring AI-crawler-relevant content, similar in spirit to sitemap.xml. We deploy it on every engagement.
Should we block AI crawlers?
It is a real trade-off. Blocking protects content from training ingestion but reduces recommendation visibility. We decide per content type.
How long does an audit take?
Ten to fourteen days for the audit and register. Remediation depends on issue volume and engineering capacity.
Do you fix things or just report?
We ship, or we brief your team well enough that they can. A PDF alone is not a deliverable.
How long does the audit take?
Around two weeks for the review and prioritised register on a typical site. Remediation length depends on issue volume and your release cadence rather than on us.
Will you work directly in our codebase?
Where you want us to, and where access allows. Otherwise we write briefs specific enough to implement without interpretation and review the change before it deploys.
Which schema types do you deploy?
Those that match the page, Organization, Service, Product, FAQPage, Article, BreadcrumbList, Person and Review where applicable. Generic Article markup on everything is a common and useless default.
Do Core Web Vitals still matter?
As a tie-breaker for ranking and as a genuine crawler and conversion issue. We treat them as maintenance rather than as a growth strategy.
This feeds the AI visibility pillar.
The same editorial authority that lifts rankings is the corroboration answer engines need before they will recommend you.
Related services
Is TAS the right place to start?
Send your domain and what you are trying to fix. We will tell you whether technical audit & schema is the constraint, and, candidly, whether we are the right firm for it.