# How do AI answer engines differ from Google for B2B SaaS?

Updated October 2026

B2B buyers research in two places now: Google, and AI assistants such as ChatGPT, Claude, Gemini and Perplexity. This page covers how the research differs between them, where each one matters in the buying process, and how to measure both with tools you can set up this week.

## Quick answer

Google returns ranked links a buyer clicks through; AI answer engines return a written shortlist that often names three or four products before any click. B2B SaaS teams need both: Google for buyers who know what to search, assistants for buyers asking which product to choose. MarketHQ tracks the AI side weekly in six engines on paid plans.

- On Google the buyer picks from a list of links; in an AI assistant the buyer reads one answer that already contains a shortlist.
- Measure Google with Search Console and assistants with a fixed list of buyer questions re-asked every week.
- MarketHQ asks your buyer questions in ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek every week on paid plans.
- MarketHQ does not track Google AI Overviews, Google AI Mode or Microsoft Copilot; use a Google-focused tool for those.

## How does buyer research differ between Google and an AI assistant?

On Google a buyer scans results and opens several pages; in an assistant the buyer asks a longer question and reads one answer that already compares options.

A buyer on Google types a short query, chooses which results to open and forms their own view from several vendor pages, review sites and articles. A buyer in an assistant types the whole situation: team size, budget, the tools they already use. The assistant writes back a comparison and names a few products. The buyer then asks a follow-up in the same chat, such as 'which of those integrates with HubSpot?', and the shortlist narrows without a new search.

The practical difference for a vendor is control. On Google, a buyer who reaches the second page of results can still find you. In an assistant, a product left out of the answer stays out unless the buyer asks a follow-up that brings it in.

## One buying step on Google and in an AI assistant

| Step | Google | AI assistant |
| --- | --- | --- |
| What the buyer types | A short query, such as 'expense software' | A full question, such as 'expense tool for a 40-person company on QuickBooks?' |
| What comes back | Ranked links, ads and Google's own answer features | A written answer naming a few products, sometimes with cited links |
| Follow-up | A new search | A follow-up question in the same chat |
| Where you win | A page that ranks and gets the click | A mention in the answer, described accurately |
| What you can see directly | Impressions, clicks and position in Search Console | Only what you see by asking the question yourself |

## Where does each one matter in the B2B funnel?

Assistants matter most while buyers are forming a shortlist; Google still matters when they verify a vendor, check pricing and look for a specific company.

Map the questions buyers ask at each stage, then decide where each channel carries weight. A common B2B pattern looks like this, though your buyers may differ.

- Problem research: 'how do I reduce churn in a subscription business'. Both channels; whoever explains the problem best gets read.
- Shortlist: 'best churn analytics tool for a Stripe-based SaaS'. Assistants answer this with a named list in one step.
- Verification: '<vendor> pricing', '<vendor> SOC 2', '<vendor> reviews'. Mostly Google and your own site.
- Decision: a demo, a trial and a sales conversation. Your site, your docs and your team.

## How do you measure Google visibility for a B2B SaaS?

Use Google Search Console for the queries, impressions, clicks and average position of your own pages.

Split the Performance report into branded and non-branded queries. Non-branded queries show whether you reach buyers early. Branded queries show people looking you up, and a rise there can be one sign that buyers heard your name somewhere else, including in an AI answer, although it has many possible causes.

Export the queries phrased as questions too; they make a good starting list for assistant tracking. Google AI Overviews and AI Mode appear inside Google itself; MarketHQ does not track them, so judge those with a Google-focused tool.

## How do you measure visibility in AI assistants?

Write a fixed list of buyer questions, ask each one in every assistant on the same day each week, and record who is named.

For assistants you measure by asking. Keep 10 to 20 questions, mostly shortlist questions plus 'alternatives to <competitor>' for your main competitors. For each answer record whether you were named, who else was named, and which links it cited. Your share is the answers that named you divided by all answers, read as a trend over four weeks or more.

MarketHQ's paid plans run this every week, starting Monday, in ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek. Perplexity's answers appear on the Web Search tab; the other five sit on the AI Visibility page with a four-week trend line and a 'Who AI recommends in your space' list. Each answer keeps its full text and a Cites column of the links it used. Answers come from each engine's API, so a signed-in buyer may see something different.

## Should a B2B SaaS team work on Google or AI assistants first?

Fix the pages both channels rely on first, then put extra effort where your own buyers say they research.

Clear product pages, honest comparison pages and a pricing page written as text help in both places, so they come first. After that, ask. Add 'Where did you first hear about us?' to your signup or demo form, with 'ChatGPT or another AI assistant' as one of the options, and ask the last ten customers on a call. It is a small sample, but it comes from your own buyers.

If assistants matter, the extra work is mostly off your site: the threads, reviews and lists those answers cite. If Google matters more, it is rankings and technical SEO. MarketHQ's weekly gap analysis compares you with each competitor on AI answers, community share of voice and sentiment, and turns 'questions where competitors are named and you are not' into an action plan with the evidence attached.

## What does a weekly review of both channels look like?

Illustrative example: a sales-engagement SaaS reads Search Console and its AI answers side by side every Monday.

Illustrative example: a sales-engagement company opens Search Console on Monday. Non-branded clicks are flat; branded impressions are up for the third week. In its AI answers, it is named in four of ten ChatGPT answers and none of ten Gemini answers. The Gemini answers name one competitor every time, and the Cites column on several of them shows that competitor's comparison page.

The team updates its comparison page against that competitor and adds the 'Where did you first hear about us?' question to its demo form. Two of the next five demo requests pick 'ChatGPT or another AI assistant', which is a small sample but enough to keep the weekly AI check in the report.

## What can you not measure across both channels?

You cannot see every AI answer buyers receive, and most AI answers leave no click to attribute.

AI answers change with the account, location and conversation, so any tracker gives a sample. Some assistant visits show up in your analytics as referrals, but a buyer who reads an answer and later types your name into Google looks like branded search.

MarketHQ covers ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek. It does not track Google AI Overviews, Google AI Mode or Microsoft Copilot, which sit inside Google and Microsoft's own products. If those surfaces matter most to your buyers, you will need another tool for them.

## FAQ

### Are AI answer engines replacing Google for B2B research?

We don't know of reliable public data on the split for B2B buyers, so treat confident claims either way with care. Ask your own new customers where they researched, and measure both channels: Search Console for Google, a fixed weekly question list for assistants.

### How do I measure my brand in ChatGPT and Google at the same time?

MarketHQ covers the assistant side: paid plans ask your buyer questions in ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek every week. Keep Google Search Console for Google. MarketHQ does not track Google AI Overviews, AI Mode or Copilot.

### Does ranking on Google help me get named by AI assistants?

It can. Assistants that search the web while answering can find pages that rank, and some answers cite them. Other answers come from the model's memory without sources, so ranking alone does not decide whether you are named.

### Is there a free way to check if AI assistants name my company?

Start with MarketHQ's free LLM mention checker: a one-off reading in ChatGPT and DeepSeek using two fixed prompts, checked for your brand name and domain. No card is needed.

### Does MarketHQ track Google AI Overviews?

No. MarketHQ tracks ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek. It does not cover Google AI Overviews, Google AI Mode or Microsoft Copilot.

## Related

- Free LLM mention checker: /tools/llm-mention-checker (one-off reading in ChatGPT and DeepSeek)
- GEO vs SEO for SaaS: /blog/geo-vs-seo-for-saas (fitting AI answers into SEO work)
- Track brand mentions in AI search: /blog/how-to-track-brand-mentions-in-ai-search (the weekly tracking setup)
- LLM share of voice for SaaS: /blog/llm-share-of-voice-for-saas (turning answers into a share metric)
- AI visibility use case: /use-cases/for-ai-visibility (how MarketHQ runs the weekly check)