The B2B Tech Shortlist Is Tightening Where Buyers Start

BrightEdge referral data shows AI search volume still climbing. Against that, a shorter list of brands per answer means each named slot is worth more than it was six months ago.

This edition covers the B2B Tech vertical. The panel holds the same non-branded prompts constant across two dates six months apart. Movement in the numbers reflects how ChatGPT answers changed. What was asked stayed the same. Usage and answer quality can both climb while the named list gets shorter. Measured in AI Catalyst.

What brand mentions measure, and what they do not

Mentions per answer counts how many distinct brands ChatGPT names in a single response, averaged across the tracked prompt set for a funnel stage. It is not citation volume, and it is not market share. A single answer can name many brands or very few, so the count moves independently of how many sources get cited for the same answer.

Source: BrightEdge AI Catalyst. A fixed panel of tracked non-branded B2B Tech prompts, ChatGPT engine, held constant across 15 March 2026 and 13 September 2026.

Where the list got shorter

Where a prompt sits in the buyer's journey now decides how short the list gets. The panel stayed fixed. The prompts stayed fixed. Only the answers changed. Every figure below covers prompts that held the same intent classification on both dates. On those prompts ChatGPT named 5.36 brands per answer in March against 3.87 in September, a 27.9% decline. The fall concentrates at the top of the funnel.

Figures are the fixed-cohort cut: every prompt that carried the same intent classification on both dates. Source: BrightEdge AI Catalyst. A fixed panel of tracked non-branded B2B Tech prompts, ChatGPT engine, held constant across 15 March 2026 and 13 September 2026.

Data collected

Post Purchase carries too few prompts to read as a trend and is excluded. Transactional is printed above and held out of the conclusions below, for the reason given in its own section.

The questions buyers start with got the most selective

Informational prompts are the broadest questions, such as what a technology is or how it works. They went from naming 5.15 brands per answer to 3.50, a 32.0% decline, the steepest fall of any stage.

Microsoft, Google, and Amazon lost the most ground, down 9.5, 6.7, and 6.4 points. A cluster of developer and data-infrastructure names lost ground alongside them: Apache, dbt, Snowflake, Elastic, and HashiCorp.

IBM gained the most, up 9.9 points. NIST.gov, TechTarget, FBI.gov, Cisco and FTC.gov gained too, so institutional and government sources moved up alongside a publisher. The expected publisher squeeze does not appear in this data.

Consideration became a shorter list

Consideration prompts are where someone is comparing named options, such as accounting software for a small business. They went from naming 8.21 brands per answer to 6.39, a 22.1% decline.

Google, Amazon, GitHub, Trend Micro, Apple, and GitLab lost the most ground, down 9.3, 6.1, 3.7, 3.3, 2.0, and 2.0 points.

Every brand gaining ground here is a single-purpose tool.

Why buying-intent prompts are held back

Transactional prompts are where someone is ready to buy. They moved differently over the same window. A third measurement point shows that movement reversing, so the stage is held out of this edition's conclusions until the full weekly series is in. Both figures are printed above, so the omission is visible.

Two dates can show a direction that a third date takes away. So we waited, and printed the figures anyway.

Everything else in this edition holds at every measurement point checked.

Mentions and citations do not always move together

The relationship between how many brands get named and how many sources get cited is not consistent across the funnel.

In Informational, citations per answer rose from 2.30 to 3.12 even as mentions fell. Fewer brands were named, and each was backed by more sources.

In Consideration, citations fell in step with mentions, from 5.70 to 3.25.

In Transactional, citations stayed close to flat, from 1.92 to 1.84, while mentions rose.

What marketers need to know

1. Fight for the winnable Consideration prompts. Pull Consideration-intent prompts for your category in AI Catalyst or AI Hyper Cube, then check where you already show up. Every brand gaining ground here is a single-purpose tool. Find the use case your product owns, and build content that answers that exact question.
2. Audit where you appear stage by stage. A single visibility score hides which stage you are missing from. Split your tracked prompts by intent and find the stage where you are absent, because being absent from a stage is a different fix from ranking low inside it.
3. Hold your top-of-funnel investment. Awareness answers hold their value. They just got harder to win, and the goal there is now earning a place on a shorter list. Pull awareness prompts for your category in AI Catalyst. Identify one to three where you have a right to win but do not appear, then prioritize those.
4. Google is still the channel to plan around. The canonical, specific content that earns organic visibility is also what gets a brand named in an AI answer. Build it once and it works on both. Re-run this funnel comparison quarterly, because funnel-stage presence keeps moving.

How to check this for your own brand

Path one. Open Mentions, filter to your tracked B2B Tech prompt groups, and split by funnel stage. Compare two dates six months apart to see whether your category shows the same shift. Do it in AI Catalyst.

Path two. In AI Hyper Cube, pull the mentioned-brand list for your category across funnel stages for the cross-engine, brand-anchored view.

One caveat. A category with very few Consideration or Transactional prompts will not show a clean trend either way. This check is most useful where your category has enough tracked prompts at each funnel stage to compare, as B2B Tech does here.

Frequently asked questions

What changed in how ChatGPT answers B2B Tech questions?

Over six months ChatGPT named fewer brands per answer, and the decline concentrated at the top of the funnel. Overall presence fell 27.9%, from 5.36 to 3.87 brands per answer.

Which funnel stage lost the most brand presence?

Informational, the broadest and earliest-stage questions, fell 32.0%, from 5.15 to 3.50 brands per answer.

What happened at the buying-intent stage?

Transactional moved differently and is not reported as a finding here. A third measurement point shows that movement reversing, so the stage is held until the full weekly series is complete.

Does this mean publishers are losing ground to owned content?

The data does not support it. TechTarget gained ground in Informational over the same period, and other major publishers stayed flat. That pattern does not carry a publisher-versus-owned-content story.

Is this specific to ChatGPT?

Yes. This measurement is ChatGPT only. Whether Google AI Overviews and AI Mode follow the same funnel-stage pattern is untested and worth checking separately.

How reliable is the funnel-stage classification?

About 15% of prompts were reclassified into a different intent stage between the two dates. Every figure in this edition uses the fixed cohort instead: only prompts that carried the same classification on both dates. Reclassification therefore cannot explain the result.

Technical methodology

Measurement: mentions per answer, the count of distinct brands named in a single ChatGPT response, averaged across the tracked prompt set for each funnel stage.

Panel: tracked non-branded B2B Tech prompts on the ChatGPT engine, matched exactly across 15 March 2026 and 13 September 2026. Every prompt is present in both periods.

Classification: each prompt is assigned a funnel stage by intent. About 15% of prompts were reclassified between the two dates. The headline figures use the fixed cohort, meaning only prompts that held the same stage on both dates.

Cross-check: the same comparison run across all prompts at each date's current classification gives a 25.1% overall decline, against 27.9% on the fixed cohort. Brand-level movements quoted here are computed on all prompts at each date.

Scope: ChatGPT only. Whether the same funnel-stage pattern holds on Google AI Overviews or AI Mode is untested. Google remains the larger channel and the one to plan around.

Key takeaways