AI 101: Grow Visibility in Search and AI Answers

What to understand

• GEO is still SEO - Google says so explicitly. Google's own 2026 guidance states that optimising for AI Overviews and AI Mode 'is optimizing for the search experience, and thus still SEO.' There is no separate AI ranking system to game; the same crawlability, helpfulness, and quality signals feed both blue links and AI answers. Treat 'GEO' as a sharper emphasis on proof and structure, not a new trick.
• Start from buyer questions, not keyword lists. AI answers are triggered by real questions in plain language ('what does an unfair dismissal claim cost in NSW?'), so a page built around the decision questions a buyer actually asks is far more quotable than one stuffed with keyword phrases. Keyword stuffing now actively hurts - the Princeton GEO study found algorithm-first writing lowers AI citation rates.
• Proof is the visibility lever, not a nice-to-have. The peer-reviewed Princeton GEO study found that adding cited sources, relevant statistics, and direct quotations boosted a page's visibility in AI answers by up to 40%. Concrete numbers, named examples, credentials, dates, and first-hand experience are exactly what an answer engine can lift and attribute - generic AI-written prose is exactly what it cannot.
• Structure makes a page machine-readable. Clear H1/H2 headings that mirror the question, short answer-first paragraphs, an FAQ block, at least one table, and at least one numbered list all help AI engines extract and quote you. Pages with a table plus a list are materially more likely to be cited in browsing-based AI answers than prose-only pages.
• Entities and source signals build trust the machine can verify. Make it unambiguous who you are, where you operate, what you do, and who stands behind the content - consistent business name and location, author bylines with real credentials, dates, outbound links to authoritative sources, and structured data where it fits the page type (Organization, LocalBusiness, FAQ, Product).
• Different engines cite different sources - so earn trust broadly. ChatGPT leans heavily on encyclopedic and established authority; Perplexity leans on fresh, community-validated sources and re-checks the live web. There is little overlap between what each cites, so the only durable strategy is to be genuinely authoritative and current rather than optimised for a single channel.
• Freshness is a ranking input, not housekeeping. AI engines, Perplexity especially, weight recency, and visible year signals (an accurate '2026' in titles and headings) measurably lift citation rates. A page that goes stale after prices, tools, or policies change quietly stops being quoted - an update cadence keeps it alive.
• Every page needs one clear next step. Visibility is wasted if attention has nowhere to go. Each page should make the single most relevant action obvious - contact, book, download, compare, or keep learning - and connect to related services and articles through internal links so both people and crawlers can navigate the business.

Deeper dive

Where AI answers source content - and what earns a citation

Engines source and cite content differently, so a single-channel trick does not travel. The durable move is to be genuinely authoritative and current. Citation behaviour shifts as models update - re-check before betting a plan on one channel.

Sources (as of June 2026): Google - AI features optimization guide · Search Engine Land - Google publishes GEO guidance · Leapd - How ChatGPT, AI Overviews & Perplexity source info (2026)

Step by step

Production prompt examples

ROLE: You are a senior content strategist who writes for both Google Search and AI answer engines (AI Overviews, ChatGPT, Perplexity, Gemini). You optimise for genuine trust and citability, never for tricks.

BUSINESS CONTEXT:
- Business: [name, what we do, where we operate]
- Audience: [who the buyer is and the decision they are making]
- Proof we can use: [real numbers, dates, case outcomes, credentials, first-hand specifics]
- Primary next step we want: [contact / book / download / compare / keep learning]

TOPIC: [the one buyer question this page answers, in the customer's plain words]

TASK: Produce a page brief I can hand to a writer. Do NOT write the full article.

OUTPUT (use these exact sections):
1. Title + H1 - include an accurate year signal only if the content is genuinely current.
2. The 3-5 buyer sub-questions, ordered, each as a proposed H2.
3. Answer-first opening - 2 sentences that directly answer the main question.
4. Proof stack - list at least one statistic (with the source and date to cite), one quotable sentence, and one first-hand specific only this business can claim. Flag anything I still need to supply.
5. Structure to include - FAQ block, one table (say what it compares), one numbered list (say what it steps through), and which structured-data type fits (Organization / LocalBusiness / FAQ / Product).
6. Internal links - 3 related pages this should link to and the anchor text.
7. The single next step and where the CTA sits.
8. Freshness - proposed review cadence and what would make this page go stale.

RULES:
- No keyword stuffing and no algorithm-first phrasing; write for a human deciding under pressure.
- Do not invent statistics, quotes, dates, or credentials. If proof is missing, label it [NEEDS SOURCE] rather than fabricating.
- Keep claims attributable: every number must have a place to cite.

Common mistakes to avoid

• Publishing generic AI-written pages with no proof, local context, or concrete next step - there is nothing for an answer engine to quote, and the prose reads as algorithm-first, which lowers citation rates.
• Chasing keywords (or stuffing them) while ignoring the buyer questions behind them - keyword-first writing now measurably hurts AI visibility.
• Letting important pages go stale after tools, prices, policies, or offers change - freshness is a ranking input, especially for Perplexity, and stale pages quietly stop being cited.
• Treating GEO as a magic trick (llms.txt, special markup, content chunking) instead of clear, source-worthy content architecture - Google explicitly says these hacks are unnecessary.
• Optimising for one engine's quirks instead of building broad authority and recency - ChatGPT and Perplexity cite almost entirely different sources, so single-channel tricks do not travel.
• Inventing statistics, quotes, or credentials to look citable - fabricated proof is a trust risk that can backfire harder than having no proof at all.

Source conflicts to review

• Citation-share statistics (Wikipedia's share of ChatGPT citations, Reddit's share of Perplexity citations) come from sampled third-party studies and vary by sample, date, and method - directional, not exact.
• AI Overview trigger rates ('over a quarter of queries') differ between trackers and by vertical, query type, and country; your category may be well above or below any headline figure.
• Some agency content sells GEO as a wholly separate discipline; Google's official guidance frames it as still SEO. Where sources disagree, prefer the primary source.