When AI assistants summarise options, compare providers, or recommend “the best next step”, they’re doing something very similar to a careful human skimming your site:
• Do you clearly explain what you do?
• Can I trust you?
• Can I verify the details fast?
• Do you answer the obvious follow-up questions without waffle?
If your website leaves gaps, the assistant has to fill them from somewhere else (other sites, directories, reviews, assumptions). That’s how you end up with wrong details, generic summaries, or being ignored entirely.
This article gives you 12 questions that make your site easier to understand, easier to trust, and easier to summarise. You can treat it like a content checklist: if your site answers these questions cleanly, your odds of being referenced (and accurately described) increase.
To keep this practical, each question includes:
• what “good” looks like
• where it should live on your site
• common mistakes to avoid
How AI assistants decide what to reference (in plain English)
AI assistants tend to prefer pages that are:
• specific (not generic marketing copy)
• well-structured (headings, lists, concise sections)
• consistent (same business name, locations, offerings, policies across the site)
• supported by evidence (credentials, examples, reviews, case studies, citations where relevant)
That doesn’t mean you need a “perfect” website. It means you need fewer unanswered questions.
Q: Do I need to rank #1 to be referenced by AI?
Not always. Being referenced is often about usefulness and clarity for the exact question being asked. A page that answers the question directly, with clear trust signals, can be picked even if it’s not the top traditional result for a broad keyword.
The 12 questions your website must answer
1) What exactly do you do (in one sentence)?
If an AI assistant can’t summarise your offering in a single sentence, it will either:
• write something generic, or
• skip you for a clearer option
What “good” looks like:
• a plain-English one-liner that a non-expert understands
• no buzzword soup
• no internal jargon
Where it should live:
• homepage hero section
• About page opening
• top of key service/category pages
Common mistakes:
• leading with “we’re passionate about…”
• listing features without explaining outcomes
• describing who you work with but not what you deliver
Q: What’s a strong one-sentence example?
Try: “We help Australian businesses reduce admin time by improving how enquiries, bookings, and follow-ups flow through their systems.”
Clear, concrete, and easy to reuse.
2) Who is this for (and who is it not for)?
AI assistants often match users to providers based on fit. If you don’t define your audience, the assistant has to guess.
What “good” looks like:
• 3–6 clear “best fit” examples
• 2–3 clear “not a fit” boundaries (helps trust)
Where it should live:
• service/category pages
• a “Who we help” section on the homepage
• FAQ
Common mistakes:
• “We help everyone” positioning
• hiding boundaries out of fear of losing leads
• only listing industries without explaining the common problem
Australia-wide examples you can use:
• “Best for multi-location businesses with multiple states or regions”
• “Not a fit if you need same-day emergency work across all suburbs”
• “Best for service businesses with consistent enquiry volume”
3) What problem do you solve (and what happens if it’s not solved)?
Assistants summarise based on problems and outcomes. If your site only talks about deliverables, you’re harder to categorise.
What “good” looks like:
• 2–4 core problems in customer language
• consequences of doing nothing (time, errors, lost leads, delays)
Where it should live:
• near the top of key pages
• intro of relevant blog posts
• FAQ hub (if you have one)
Common mistakes:
• listing “solutions” without naming the pain
• focusing on internal process instead of customer outcomes
Q: How detailed should the “problem” section be?
Enough that a reader thinks “that’s me”, but not so long it becomes a life story. Aim for:
• 3–6 bullet points of common pain points
• 1–2 sentences per outcome
4) What’s your process (at a high level)?
AI assistants love predictable structure. A simple process section makes it easier to summarise and compare.
What “good” looks like:
• a 3–7 step overview
• clear inputs and outputs (what you need, what they get)
• what happens next, and what happens after
Where it should live:
• service/category pages
• “How it works” page
• onboarding FAQ
Common mistakes:
• being vague (“We tailor a bespoke strategy…”)
• showing 18 steps that confuse the reader
• hiding how things start and finish
Keep it high-level. The goal is clarity, not giving away “secrets”.
5) What will the customer get (deliverables, outcomes, or inclusions)?
Assistants often answer “what do you get?” questions directly. If your site doesn’t list inclusions, the assistant will use whatever it can find elsewhere.
What “good” looks like:
• a short “What you’ll receive” section
• 5–10 inclusions written as outcomes (not internal tasks)
• clear boundaries (what’s included vs optional)
Where it should live:
• service/category pages
• proposal template pages (if public)
• FAQ
Common mistakes:
• only describing what you do internally
• using vague “value” statements with no specifics
• listing too many micro-deliverables
Q: Isn’t this too close to “selling”?
Not if you keep it informational and descriptive. The point is to reduce ambiguity so people (and assistants) understand what your service actually includes.
6) What evidence proves you can deliver?
AI summaries tend to favour trusted sources. Your website should provide “proof” that can be easily extracted.
What “good” looks like:
• case studies with specific before/after metrics (where appropriate)
• testimonials with context (industry, problem, outcome)
• examples of work (screenshots, anonymised samples)
• awards, memberships, licences where relevant
Where it should live:
• a dedicated case studies page
• embedded snippets on key pages
• About page “credentials” section
Common mistakes:
• testimonials with no context (“Great service!”)
• claims with no supporting detail
• case studies that read like marketing fluff
Australia-wide proof ideas:
• “Reduced enquiry response time from 24 hours to 2 hours”
• “Cut weekly admin from 8 hours to 2 hours”
• “Improved lead follow-up consistency across multiple locations”
If you want a fast way to audit what proof you already have (and what’s missing), keep a simple AI visibility checklist for your pages and update it quarterly.
7) Who is behind this business (and why should I trust them)?
AI assistants often try to identify “who said this?” If your content has no author identity, no About detail, and no credentials, it can look thin.
What “good” looks like:
• real team or founder info
• relevant experience and credentials
• clear contact and business details
• author bios on advice content (where appropriate)
Where it should live:
• About page
• team page or team section
• author bio blocks on articles
Common mistakes:
• anonymous blog posts with no author info
• “About” pages that are only brand story, no substance
• no clear business identity signals (ABN details if appropriate, physical address where applicable)
Q: Do we need author bios on every page?
Not every page, but it’s worth adding author and reviewer info to advice-style content where trust matters. At minimum, have a strong About page and a clear business identity.
8) What are the key details people always ask about?
These are the “obvious follow-ups” that AI assistants will try to answer:
• where you operate
• what you charge (even a range)
• timelines
• what’s included
• what’s required to start
• support and aftercare
• policies (cancellations, refunds, guarantees where applicable)
What “good” looks like:
• a “Key details” section that answers 6–10 frequent questions
• content written in plain language
• consistent details across pages
Where it should live:
• a dedicated FAQ section on key pages
• a central FAQ hub (optional)
• contact page (for basic logistics)
Common mistakes:
• hiding the basics to force enquiries
• inconsistent details across pages (different phone numbers, different service areas, different claims)
9) Where do you operate (and what does “Australia-wide” actually mean)?
If you say “Australia-wide”, spell out what that means:
• remote delivery?
• specific time zones?
• state-by-state differences?
• on-site availability anywhere, or only certain regions?
What “good” looks like:
• a clean service coverage statement
• AU time zone expectations (AEST/AEDT considerations)
• what support looks like for regional areas
Where it should live:
• contact page
• service page “Coverage” block
• FAQ
Common mistakes:
• claiming national coverage but only operating locally
• not clarifying remote vs in-person
• burying location details
Q: Why does location clarity matter for AI assistants?
Because assistants want to avoid recommending a business that can’t actually serve the user. Clear coverage information reduces that uncertainty.
10) What should someone do next (and what are the options)?
Even if you avoid hard selling, people (and assistants) want to know the next step:
• read a guide
• use a checklist
• prepare information
• book a call (optional)
• request a quote (optional)
For this blog, we’ll keep it informational: your “next step” can be “audit your pages” or “fill your gaps”.
What “good” looks like:
• 2–3 options for different readiness levels
• “If you’re here, do this next” logic
Where it should live:
• end of key pages
• end of guides/articles
• FAQ
Common mistakes:
• only one CTA that doesn’t fit every reader
• overly salesy language that breaks trust
A helpful next step is to run your site through an internal answer-ready content guidance pass: identify which of the 12 questions are missing and fix them systematically.
11) What sources or standards support your claims?
For sensitive topics (health, finance, legal, safety, compliance), AI assistants heavily favour content that is clearly sourced and cautious.
What “good” looks like:
• citations to recognised authorities (government, standards bodies, major institutions)
• clear “this is general information” disclaimers where appropriate
• dates showing freshness (last updated)
Where it should live:
• advice content
• compliance pages
• FAQs that touch regulated areas
Common mistakes:
• making definitive claims without sources
• outdated information with no update signals
• confusing opinion with fact
If you want Google’s own guidance on how AI features relate to your website and content, it’s worth reading: Google Search Central: AI features and your website.
Q: Do citations matter for non-compliance industries?
They can. Even for marketing, trades, or services, referencing credible sources when discussing claims (benchmarks, safety, standards) strengthens trust. Use sources when they add value, not as decoration.
12) What makes you different (in a verifiable way)?
Differentiation isn’t “we care more”. It’s a specific, provable reason someone should trust you for their situation.
What “good” looks like:
• a clear positioning statement
• 2–4 differentiators backed by evidence
• examples that show the difference in practice
Where it should live:
• service/category pages
• About page
• case studies
Common mistakes:
• generic “quality, service, integrity” claims
• differences that are not verifiable
• differences that don’t matter to the buyer
Examples that are verifiable:
• “We publish response-time benchmarks and track them monthly”
• “We provide documented processes and owners for every workflow”
• “We include a quarterly accuracy audit of key business details”
If you’re unsure what differentiators are most “extractable” for AI summaries, prioritise clarity + proof. That’s the heart of trust signal optimisation.
Where each question should live on your website
If you try to answer all 12 questions on one page, it gets bloated. A better approach is coverage mapping:
• Homepage: #1, #2, #3, #9 (quick clarity)
• Service/category pages: #3, #4, #5, #8, #10, #12
• About page: #1, #7, #12
• Case studies/proof page: #6, #12
• FAQ hub (optional): #8 (plus spillover from #4, #5, #9, #10)
• Advice content: #11 (sources), plus relevant parts of #3 and #8
• Contact page: #9, #10 (logistics and next steps)
A quick self-audit you can do today
Pick your three most important pages and ask:
• Can a stranger answer the 12 questions after reading this page?
• If not, where should the missing answers live?
• Are the details consistent across the whole site?
• Is proof visible without digging?
Then fix the biggest gaps first:
• unclear “what we do” line
• missing proof
• missing key details (coverage, timelines, inclusions)
• weak About page identity signals
FAQ
How do I know if an AI assistant is “picking” my site?
You’ll usually notice:
• referral traffic from AI-driven sources (where visible)
• branded searches increasing (people look you up after seeing you referenced)
• more “quote-like” enquiries (“I saw you recommended for…”)
You can also run simple tests by asking assistants your target questions and checking whether they reference your pages. Don’t treat any single test as a guarantee—use it as directional feedback.
Do FAQs still matter?
Yes, when they’re written to genuinely answer real questions. Thin, repetitive FAQs don’t help. Strong FAQs:
• answer the obvious follow-ups
• reduce support load
• improve clarity for both humans and assistants
Do I need schema markup to be referenced?
Schema can help clarity, but it’s not a magic ticket. Many citations come from clearly written, well-structured pages with strong trust signals. Treat schema as a support layer, not the foundation.
What’s the fastest fix that improves “answer readiness”?
For most sites, it’s:
• a sharper one-sentence “what we do” line
• a clearer “who it’s for” block
• a visible proof section (case studies/testimonials with context)
• a short “key details” FAQ section on your main pages
How do I reduce the chance of AI getting my business details wrong?
Make your own site the most consistent and complete source:
• keep name, coverage, contact details consistent across pages
• maintain a clear About page
• publish key details (hours, service coverage, policies) in plain language
• update pages and show “last updated” where appropriate
