Agentic Search: When an AI Shortlists Your Suppliers, Will You Make the List?

Agentic search is when a buyer hands the search to an AI assistant. Instead of typing keywords and clicking through results, they describe what they need, and the AI researches, compares options and comes back with a shortlist. Some assistants can then take the next step, such as filling in an enquiry form. For suppliers, the question is no longer only "do we rank?" It's "do we make the list?"

The shortlist is moving inside AI

This isn't a future scenario. It's already shaping how B2B buyers choose.

G2 surveyed 1,076 B2B software buyers in March 2026. Half (51%) now start their research with an AI chatbot more often than with Google. More striking for suppliers: 69% chose a different vendor from the one they first planned to, based on chatbot guidance, and 33% bought from a vendor they had never heard of. G2's conclusion is blunt: AI chatbots are now the number one source influencing which vendors make buyer shortlists.

G2's sample is software buyers, but the pattern is wider. Gartner found 45% of B2B buyers used AI during a recent purchase. Whatever you sell, some of your future clients will meet you first through an AI's summary of your business.

How an AI builds a shortlist

Imagine a buyer gives an assistant this brief:

"Find three growth agencies in New Zealand that work with service businesses turning over $5m to $20m, show their pricing, and have case studies in professional services."

Here's roughly what happens next, and where businesses drop out:

1. The AI interprets the brief. It turns it into criteria: location, client size, sector, pricing, proof.
2. It searches widely. Search results, its own index, websites, review sites, directories and profiles.
3. It reads the candidates. It looks for facts that match each criterion. Businesses whose websites don't say who they work with, or where, are hard to match.
4. It cross-checks. Reviews, directory listings and third-party mentions confirm or contradict what the website says.
5. It filters and ranks. Anyone it can't confirm on a criterion is likely to be cut. Being "probably a fit" isn't enough when three others are clearly a fit.
6. It presents the list, with sources. The buyer sees three names and a reason for each.

Every one of those steps is a point where a good supplier can quietly disappear.

What gets a business shortlisted

A clear offer that matches the brief

Say exactly what you do, who you do it for (size, sector, location) and what the outcome is. An AI can't match "tailored solutions for businesses of all sizes" to anything.

Pricing signals

Budget is often in the brief. If your pricing, or at least how it works, isn't stated anywhere, the AI has to guess or leave you out. A starting price or a range is enough.

Proof that others can confirm

Case studies with named clients, testimonials with full names, and reviews on third-party sites. In G2's research, 45% of buyers said citations from review sites were the most confidence-inspiring signal in an AI-generated answer.

Structured, consistent facts

Your business name, services, locations, people and contact details should match across your website, Google Business Profile, LinkedIn and directories. Structured data on your website helps machines read those facts precisely.

Evidence of fit

Case studies organised by industry and business size let an AI confirm "they've done this for businesses like mine".

An easy next step

Some assistants can now book or enquire on a buyer's behalf. Forms that are simple, labelled and working on mobile are part of being shortlist-ready.

Why "nearly right" gets you cut

A human buyer skimming websites might give you the benefit of the doubt. An AI working through criteria usually won't. Ambiguity reads as a mismatch.

There's a second risk. G2 found 64% of buyers often or very often see inaccurate chatbot recommendations. If an AI has outdated or wrong information about your business, it may describe you incorrectly or skip you. The fix is the same: clear, current, consistent facts in as many trusted places as possible.

Run your own shortlist test

Do this once a month:

1. Write three briefs the way your best clients would describe their need.
2. Run them in ChatGPT, Gemini, Perplexity and Copilot.
3. Note whether you appear, what's said about you, and which sources are cited.
4. Fix the gaps: missing facts, inconsistent details, missing reviews, unclear pricing.

It takes less than an hour, and it shows you exactly how AI describes your business to buyers.

Briefs to try

If you're not sure where to start, adapt these:

• "Find three commercial cleaning companies in Christchurch that work with offices of 50 to 200 staff and publish their pricing."
• "Shortlist accounting firms in Wellington that specialise in construction businesses, with reviews from clients."
• "Which engineering consultancies in Auckland have case studies on industrial fit-outs over $1m?"

Each one includes a location, a client type and a proof requirement, which is how real buyers brief an assistant. If your business would be a perfect answer to a brief like this but doesn't appear, the facts the AI needs are missing or hard to find.

Where this fits in the full search stack

Agentic search is the newest layer of the full search stack, sitting on top of SEO, answer engine optimisation and generative engine optimisation. It builds on all of them: an AI can only shortlist what it can find, read and trust. Our search team works across all four layers, and inside a Growth System DigitalArchitect® benchmarks where your business sits against competitors before we decide what to fix first.

If you want to check your website specifically, start with Is Your Website Ready for AI Agents?.