AI is changing how people find answers online. Search engines now summarise results, surface “AI overviews,” and favour content that’s unambiguous, well-structured and easy for machines to parse. If your site was only built for traditional SEO, you’re likely leaving visibility (and revenue) on the table.

Below is a practical Q&A guide to Adigi’s AI Optimisation Audit—what it is, what you get, how long it takes, and how to structure your pages for AI-driven search.

What is an AI Optimisation Audit?

An AI Optimisation Audit is a focused review of your website to ensure content, UX, and technical foundations are machine-readable and answer-ready. It complements (not replaces) SEO by aligning your site with how AI systems extract, summarise, and cite information.

Core pillars we assess

  • Content clarity and intent mapping: Does each page answer a specific query clearly and succinctly?

  • Information architecture and internal linking: Can a model follow topic relationships easily?

  • Structured data (schema): Are you using JSON-LD correctly to describe entities, products, FAQs and how-tos?

  • UX signals and accessibility: Is the content scannable, fast, and accessible (headings, alt text, tables, lists)?

  • Author and entity credibility: Are authors, business info, and sources transparent and verifiable?

  • Data quality and duplication: Is there canonical content, consistent naming, and no thin/duplicate pages?

Why do I need one?

Because AI systems reward content that is unambiguous, well-structured, and attributable. Sites that provide crisp answers, tidy metadata, and strong entity signals are more likely to be featured in AI overviews, voice assistants, and answer cards—driving qualified traffic even as traditional rankings fluctuate.

How long will it take?

Timelines depend on site size and complexity. Typical ranges:

  • Lite Audit (up to ~100 URLs): 1–2 weeks

  • Standard Audit (100–500 URLs): 2–4 weeks

  • Enterprise Audit (500+ URLs or multiple stores/locales): 4–6 weeks

We’ll confirm scope after a quick discovery call and a crawl sample.

What do you deliver?

You’ll receive a clear, prioritised plan your team can act on immediately.

  • Executive summary: Key findings, projected impact, and quick wins you can tackle in the first 30 days

  • Prioritised roadmap: MoSCoW-style backlog with effort vs. impact scoring

  • Content and IA recommendations: Page-level changes, hub/spoke architecture, internal link map

  • Structured data blueprint: JSON-LD schema map (FAQ, HowTo, Product, Article, Organization, Breadcrumb, LocalBusiness where relevant)

  • Templates and examples: Wireframes and copy patterns for AI-friendly pages

  • Measurement plan: GA4/GSC events, dashboards, and success metrics

What will you need from us?

Access to the essentials helps us move fast and avoid guesswork:

  • GA4, Google Search Console, and (if used) Looker Studio dashboards

  • CMS access (editor-level is fine) and any design system or component library

  • Sitemap and top pages by traffic/conversions

  • Product feed or service catalogue, and any existing FAQs/knowledge base

  • If available: server logs or crawl exports for deeper diagnostics

How is an AI Optimisation Audit different from a regular SEO audit?

A traditional SEO audit focuses on crawlability, performance, and keywords. We include all of that, then go further into answer-readiness and entity clarity:

  • One clear question per page, answered in the first 100–150 words

  • Consistent entities (people, products, places, brands) linked and marked up

  • Evidence of credibility (author bios, sources, dates updated, customer proof)

  • Content structures that AI can lift directly (FAQs, steps, specs, comparisons)

How do we structure pages differently for AI search?

Above the fold

  • A one-sentence summary that answers the core query in plain English

  • A short “Key points” block (3–5 bullets) that can be copy-pasted by an AI system

  • Descriptive H1 that matches the user’s intent, not just a keyword string

Body structure

  • One topic per URL, with clear H2/H3 hierarchy

  • Concise definitions first, detail later (pyramid style)

  • Add an FAQ section (3–6 genuine questions) and mark it up with FAQPage schema

  • Use HowTo schema for step-by-step processes and Product for ecommerce (price, availability, reviews)

  • Include comparison tables, pros/cons, and spec lists—AI loves structured facts

  • Link out to credible sources and your own supporting pages (hub ↔ spoke)

Metadata and schema

  • JSON-LD for Organization, BreadcrumbList, Article/Product/HowTo/FAQPage as applicable

  • Unique page titles and meta descriptions that reflect the question being answered

  • Canonical tags to avoid duplication and mixed signals

UX and accessibility

  • Fast pages, good CLS/LCP/INP, mobile-first layouts

  • Alt text for images, descriptive link text, and readable font sizes

  • Avoid heavy pop-ups blocking main content

Trust signals

  • Author name, role, headshot, and credentials

  • “Reviewed by” where appropriate (e.g., legal/medical/finance content)

  • Date published and “Last updated” with meaningful changes

What about ecommerce and local businesses?

  • Ecommerce: Ensure robust Product schema, consistent SKU/GTIN, live price/availability, and unique descriptions (not supplier copy). Add comparison and “who it’s for” sections.

  • Local: Add LocalBusiness schema, NAP consistency, location pages with unique content, embedded maps, and real FAQs from customers.

How do we measure success?

We align to outcomes that actually matter:

  • Increased impressions and clicks from AI surfaces and answer boxes

  • Higher organic conversions and assisted conversions

  • Improvements in entity visibility (brand/product queries) and FAQ/HowTo rich results

  • Better crawl efficiency and page experience metrics (Core Web Vitals)

We’ll set up or refine GA4/GSC tracking and create a simple reporting view so you can see changes week by week.

How the Adigi team can help

We offer the full stack—from audit to implementation and reporting.

  • Audit only: We deliver the blueprint; your team executes, with us on hand for QA

  • Audit plus implementation: Our designers, developers and content team make the changes

  • Ongoing optimisation: Monthly sprints to expand AI-friendly content, schema, and internal links, plus reporting

We’re comfortable in Shopify, WooCommerce, WordPress, and headless setups, and we can collaborate with in-house or partner teams.

How much does it cost?

Costs depend on scope. After a short discovery we’ll propose a fixed-fee package with clear deliverables. Most clients start with a Lite or Standard Audit, then roll into a short implementation phase.

What’s the first step?

Send us a couple of URLs you care about most and we’ll run a quick opportunity snapshot to show what an AI Optimisation Audit could unlock.

Ready to make your site AI-ready?
Drop us a message and we’ll book a quick call.