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ChatGPT vs Google for discovery: where people actually find things now

How assistant-led discovery differs from search-led discovery, what it means for your funnel and attribution, and which one you should be optimising for.

By Kaivalya Deshpande, Founder, RankBrain AI·Published ·4 min read·1 source cited

The short version

  • Google is a destination engine: it sends you somewhere. An assistant is an answer engine: it often ends the journey itself.
  • Assistants can support research, recommendations and transactions; Google also serves these intents. Check how your own buyers use each.
  • The funnel changes shape: fewer, later, better-informed visits rather than more shallow ones.
  • Attribution largely disappears. Assistant-influenced visits arrive as direct traffic or branded search with no referrer.

The commercial question is straightforward: your buyers are asking assistants questions they used to type into Google, so should you be doing something different? Yes. But less, and less dramatically, than the noise around this suggests. The two surfaces serve different moments rather than fighting over the same one.

It is also worth noting that this is not a binary migration. The same person uses both, often within minutes, for different parts of the same decision.

Two different behaviours

How the two surfaces differ
DimensionGoogle searchAI assistant
InputKeywords, often fragmentaryFull questions with context
OutputA list of destinationsA synthesised answer
Session shapeMany short queries, several clicksOne long conversation, few or no clicks
Follow-upNew searchRefinement in the same thread
StrengthNavigation, transaction, breadth of choiceSynthesis, comparison, explanation
WeaknessRequires you to do the synthesisOpaque sourcing, no guarantee of currency
What you can measureImpressions, position, clicks, queriesVery little

The first row has a real consequence for keyword research. People type "best crm small business" into Google and ask an assistant "I run a 12-person plumbing business, we currently track jobs in a spreadsheet, what CRM should I look at". The second contains vastly more qualifying context, and the pages that get recommended are the ones that address that context specifically rather than generically.

That favours content written for a described situation over content written for a keyword. A page called "Best CRM for small business" that opens with three paragraphs of definitional preamble is a weaker candidate than one that addresses team size, current tooling and migration effort directly.

What it does to your funnel

In the search-led model, a prospect might visit you five times: once from a definitional query, twice from comparison queries, once from a review search, once to buy. Each visit is recorded and attributable, and your analytics tells a satisfying story about a nurtured journey.

In the assistant-led model, the first four of those happen inside a conversation you cannot see. If you were named well in that conversation, the fifth visit still happens, as a direct visit or a branded search, arriving from apparently nowhere with the buyer already convinced. Sessions and conversion rates may change, but those movements alone do not identify assistant-led discovery. Treat it as a hypothesis, not an attribution result.

The pattern to watch for

Organic sessions flat or declining, branded search impressions rising, direct traffic rising, and conversion rate on non-branded organic improving. That combination can be consistent with assistant-led discovery, but advertising, publicity, tracking changes and other causes can produce it too. All four of those are visible free in Search Console and your analytics.

Which to optimise for

Both, because the work overlaps almost entirely. Assistants draw heavily on indexed web content, so ranking well and being crawlable remains the substrate for both. The assistant-specific additions are the ones covered elsewhere on this blog: unambiguous entity description, direct extractable answers, sources on claims, and consistency in how you describe yourself across the web.

One genuinely distinct action: check that you are not blocked. Review your robots.txt and confirm the assistant crawlers you want are permitted. A surprising number of sites discover they excluded themselves from assistant answers through a blanket rule added years ago for a different reason.

What not to do

  • Do not rebuild your site for assistants. They read ordinary web pages. A well-built site is already readable.
  • Do not abandon Google. Measure its contribution across transactional, navigational and research queries before reallocating effort.
  • Do not buy an AI-visibility subscription before you have fixed your entity description. Measuring a problem you have not addressed is expensive telemetry.
  • Do not trust a single attribution model to tell you what is happening. Triangulate between branded search, direct traffic and conversion rate.

Frequently asked questions

Is ChatGPT replacing Google?

For research, explanation and comparison it is taking a meaningful share. For navigation and transactions Google remains dominant. Most people use both, often within the same decision.

How do I get recommended by ChatGPT?

Be a credible, well-indexed source that describes itself unambiguously and answers questions directly. There is no submission process and no markup that guarantees it. See how assistants pick sources.

Can I track traffic from AI assistants?

Partially at best. Some assistants pass a referrer when a user clicks a link; much of the influence arrives later as direct or branded traffic with no trace. Watch branded search volume as a proxy.

Should I write differently for assistants?

Marginally. Address described situations rather than bare keywords, answer directly and early, and attach sources to facts. That is good writing regardless of the audience.

Does Bing matter more now?

More than its search share suggests, because it underpins parts of the assistant ecosystem. Verifying in Bing Webmaster Tools is free and takes ten minutes. See the comparison.

Sources

Every figure on this page traces to one of these. Dates are when we last read each page: prices and features change, so check anything older than a few months. The last 2 entries are product pages, listed so you can find the tool, not as evidence.

  1. [1]
    Introduction to robots.txt

    Google Search Central · developers.google.com · Official documentation · read 2026-09-18

  2. [2]
    Google Search Console

    Google · search.google.com · Product page · read 2026-09-18

  3. [3]
    Bing Webmaster Tools

    Microsoft · bing.com · Product page · read 2026-09-18

Keep reading

The commercial question is straightforward: your buyers are asking assistants questions they used to type into Google, so should you be doing something different? Yes. But less, and less dramatically…