AI

How a new name reached the front of AI Search — and what it means for every organisation that needs to be found

For the last few weeks, a specific kind of enquiry has landed in our inbox. Not referrals. Not classic Google traffic. Prospects are finding us after asking ChatGPT who they should trust with SEO and AI Search. They arrive quoting the summary, referencing our page titles, and moving straight to scope and timelines. That behaviour is the point. The front door to discovery has shifted to a summarisation layer that decides which brands are worth citing before anyone clicks.

Author Image
Daniel Curran
Senior Writer
calender-image
September 8, 2025
clock-image
10 minutes
Blog Hero  Image

The Behaviour That Changed Our Inbound

Classic SEO assumed people began on a page of links and then chose. That still happens. But many journeys now begin above the links, inside systems that compose an answer and attach a handful of sources. Google calls this layer AI Overviews. Perplexity describes a similar process plainly: it searches the internet in real time and distils what it finds into a concise, sourced answer.

Two market signals make this shift hard to ignore. First, independent clickstream studies find that for every 1,000 Google searches, roughly 360–374 clicks go to the open web; the rest stay on Google or end with no click. Second, adoption keeps climbing: a third of U.S. adults have used ChatGPT, including a majority of under‑30s. Australia trails by months, not years. If you sell into English‑speaking markets, this is already your distribution channel.

Blog Image

Intent, Rewritten: How Decisions Form Now

The old model neatly sorted behaviour into informational, navigational, commercial, transactional. Those buckets still exist; they’re just no longer where many journeys start. Two patterns now sit above them:

  • Generative intent — people open with a broad question and accept a composed summary as the first draft of truth.
  • Exploratory intent — people use the model as a thinking partner, test directions until a goal forms, then proceed with a shortlist.

This has practical consequences. Pages that resolve a real question, expose clean structure the model can parse, and seat proof next to claims are easier to include — and to quote accurately. Pages that bury the answer, waffle through adjectives, or hide receipts are easy to omit. It isn’t mystical; it’s how these products are designed: snapshot first, sources attached, user invited to verify.

“Perplexity is best described as an answer engine… all the answers are backed by sources. You combine traditional search, extract relevant results, feed them to an LLM, and it writes a concise answer with appropriate citation.” — Aravind Srinivas, CEO, Perplexity

How We Stay in Front

We’re a specialist marketing agency. We don’t win on headcount or history. We win by keeping our research loop close to how these systems actually behave. In practice, that means three ongoing disciplines:

A. We monitor the models and the platforms.
We track how AI Overviews, ChatGPT and Perplexity are selecting and displaying sources, and what they appear to value: clarity of resolution, structural consistency, recency signals, and absence of conflicts. Preferences evolve; our approach evolves with them. This is not a launch moment. It is upkeep.

B. We engineer for people first, and for reuse by systems.
Humans get a clear promise and a resolved answer quickly. The same pages give models a predictable shape to read, with verifiable evidence beside the statements that matter. That combination reduces mis‑summaries and increases inclusion.

C. We maintain the asset, not the calendar.
We strengthen the few pages that shape decisions, add new proof as it is earned, retire what dilutes the signal, and keep source‑of‑truth pages current. It’s an operating model, not a campaign.


“In recent weeks, a material share of new leads began in ChatGPT rather than classic search. That validated the work we’ve invested for months — writing for people and for the systems that summarise for them, then maintaining those assets like infrastructure.” James Dore, Marketing Director, Bushnote

Blog Image

The Implications

This isn’t a marketing curiosity. It moves risk, revenue and reputation across the economy — from sole traders to listed multinationals. Think of these patterns you can map onto your own world:

Reputation‑sensitive organisations.
If you operate in energy, healthcare, finance, higher education or government, summaries can freeze a past narrative if your current position is hard to find or parse. When models reach for sources, they may over‑weight conversational platforms or dated reporting; even Google warns that AI responses “may include mistakes.” The remedy isn’t spin; it’s maintained, machine‑legible source‑of‑truth pages an engine can cite and a journalist can check.

High‑consideration consumer purchases.
Mortgages, telco plans, private health, EVs. Buyers now begin with “Who should I talk to this week?” not “What is [category]?” If your expertise is easy to summarise accurately, you enter the shortlist with trust already forming. If aggregator content or generic definitions dominate, your team opens at price instead of value.

Procurement & B2B software.
Time‑poor teams ask models for a shortlist that satisfies technical, security and integration constraints. If your certifications, API coverage and customer evidence are scattered or out of date, the model fills gaps with third‑party summaries. You may be the right fit yet still be absent from the paragraph that books the meeting.

Listed companies & markets.
Disclosures move prices. Regulators have warned against “AI‑washing” — overstating AI capabilities — and exchanges expect precision. When a model compresses your announcement into two sentences, any ambiguity becomes a price risk. Keep the primary source accurate, current and easy to quote, and make sure the first lines say what you’d defend to a regulator or exchange.

Field Notes from the Front Line

AI‑led leads arrive warmer. Prospects quote the answer they saw and move straight to constraints. The first conversation already happened in a summary.

Paste‑ability predicts spread. The lines stakeholders copy into internal emails are often the lines models reuse. Write so your key statements can travel intact.

Authority stacks when earned. Once you’re cited cleanly in one model, cross‑verification accelerates elsewhere.

Volume without stance reads as silence. Weekly posts that never take a position vanish from human memory and machine context alike.

“Perplexity has between a 6× and 10× higher click‑through rate than ChatGPT … and the conversions from Perplexity are excellent.” — Josh Blyskal, AEO Engineer, Profound (Siege Media podcast, Jun 30, 2025)

What Leaders Do Now

Treat this as infrastructure, not content. Decide the few questions that fund your year. Keep the pages that answer them alive, accurate and summariser‑friendly. Make sure the first 150 words say something useful, and that proof lives next to the claim it supports. Monitor how the major platforms are presenting and citing your material and adjust your source pages accordingly. It’s a continuous investment, not a one‑off push.


Are You In the Answer?

We’ll keep doing the quiet work that put a new name at the front of “Top SEO agency in Australia” conversations: watching the models, hardening our own sources, and helping organisations become easy to quote for the right reasons. If you lead a government team that needs accuracy at first read, a national brand that wants to be the definitive answer in its category, or a listed company that cannot afford mis‑summaries at market open, we should talk.

Before you close this tab, run one test. Open the tool your audience actually uses. Ask the three questions that matter. Read the paragraph before the links.

Are you in it?

If not, that’s the conversation we should have.

TL;DR

  • Discovery has shifted to an answer layer (ChatGPT, Google AI Overviews, Perplexity) that writes a summary first and shows links second.
  • Within four weeks of launch, Bushnote was cited first for “top SEO agency in Australia” queries—because our pages are built to be read by people and reused by systems.
  • This is not a content dump. It’s a research loop: watch how models pick sources, structure pages so they’re easy to summarise accurately, and keep proofs current.
  • If your narrative isn’t machine-legible, older or biased sources can frame you to customers, journalists, regulators and investors before anyone reaches your site.
  • Leaders should harden a small set of source-of-truth pages, align claims with receipts, and track inclusion and quality across answer engines—continuously.

Citations

  • Google. (2024, July). How AI Overviews in Search work [PDF]. https://static.googleusercontent.com/media/www.google.com/en//search/howsearchworks/google-about-AI-overviews.pdf
  • Google. (n.d.). Find information in faster & easier ways with AI Overviews in Google Search. https://support.google.com/websearch/answer/14901683
  • Reid, L. (2025, August). AI in Search: Driving more queries and higher quality clicks. The Keyword (Google). https://blog.google/products/search/ai-search-driving-more-queries-higher-quality-clicks/
  • Fishkin, R. (2024, July 1). 2024 zero‑click search study: For every 1,000 EU Google searches, only 374 clicks go to the open web. In the US, it’s 360. SparkToro. https://sparktoro.com/blog/2024-zero-click-search-study-for-every-1000-us-google-searches-only-374-clicks-go-to-the-open-web-in-the-eu-its-360/
  • Sidoti, O., & McClain, C. (2025, June 25). 34% of U.S. adults have used ChatGPT, about double the share in 2023. Pew Research Center. https://www.pewresearch.org/short-reads/2025/06/25/34-of-us-adults-have-used-chatgpt-about-double-the-share-in-2023/
  • Srinivas, A. (2025). Transcript for “Perplexity CEO on the future of AI, Search & the Internet” (Lex Fridman Podcast #434). https://lexfridman.com/aravind-srinivas-transcript
  • U.S. Securities and Exchange Commission. (2024, March 18). SEC charges two investment advisers with making false and misleading statements about their use of artificial intelligence (Press Release No. 2024‑36). https://www.sec.gov/newsroom/press-releases/2024-36
  • ASX Limited. (2024, May 27). ASX Listing Rules Guidance Note 8: Continuous disclosure — Listing Rules 3.1–3.1B. https://www2.asx.com.au/content/dam/asx/rules-guidance-notes-waivers/asx-listing-rules/guidance-notes/gn08-continuous-disclosure.pdf
  • Schwartz, B. (2024, May 30). Google explains how it is improving its AI Overviews. Search Engine Land. https://searchengineland.com/google-explains-how-it-is-improving-its-ai-overviews-442800
  • Frequently Asked Questions

    What exactly do you mean by “AI Search”?

    AI Search are systems like ChatGPT, Google AI Overviews and Perplexity that compose a short, sourced response before the click. They reward pages that resolve a real question, have consistent structure, and place verifiable proof beside claims, so the answer can quote you accurately.

    Is this just SEO with a new name?

    It overlaps with SEO but optimises for a different moment: the pre-click summary. Classic SEO chases rankings; AI Search favours pages that can be reused without distortion, so clarity, structure and receipts matter more than volume, and maintenance beats calendars.

    How did Bushnote get to the top so fast?

    We run a continuous research loop on how answer engines pick and cite sources, design pages that resolve decisions quickly and are safe to quote, then keep those few pages current. That combination made Bushnote the first cited option for core queries within four weeks.

    How do we measure success if zero-click is rising?

    Measure inclusion and accuracy, not just traffic: how often you’re cited and how high; whether the summary reproduces your claim; and the qualified demand that references AI Search. Track time from new proof to citation, and instrument Perplexity or other referrers where possible.

    What happens if we don’t adapt?

    You may be framed by outdated or biased sources before anyone reaches you, affecting sales cycles, media coverage, regulators, or investors. The mitigation is simple, not easy: maintained, machine-legible source-of-truth pages with receipts beside claims, so models quote you correctly.

    Contact

    Interested in engaging.

    Let’s talk.

    First Name
    Last Name
    Email Address
    Phone Number
    Company
     Message
    Thank you! Your submission has been received!
    Oops! Something went wrong while submitting the form.