The State of AI Software Discovery 2026: What 897,000 AI Search Queries Reveal

Methodology

This report is built from Toolradar's Bing Webmaster "AI Search Queries" export for the period ending July 1, 2026. Each row is a grounding query, the search Bing Copilot actually issued to assemble an AI answer, for which Toolradar was cited as a source. The dataset covers 5,363 unique grounding queries and 897,216 total citations, classified by Bing into intent (Informational, Commercial, Comparison, Research, and others) and topic.

A grounding query is not the same as what a human typed. It is the query the AI engine derived and ran to fetch sources. That makes this dataset a rare, direct look at the retrieval layer of AI search: what an answer engine goes looking for when a buyer asks it about software. It is the demand-side companion to our LLM Citation Index 2026, which measured the supply side (what actually gets cited, by which model, at what volume).

One caveat: this is Toolradar's slice of the retrieval layer, so it skews toward the software categories we cover. It is a large and representative slice (nearly 900,000 citations), but it is a directory's-eye view, not the whole internet.

Buyers ask AI for shortlists, not essays

The single clearest pattern: 1,278 of the grounding queries contain the word "best," and they account for 33% of all citations. When a buyer asks an AI assistant about software, the engine overwhelmingly reformulates it into a "best X" retrieval. Top examples by volume:

• "best marketing automation platforms 2026" (13,492 citations)
• "best tools for automating affiliate marketing workflows" (11,983)
• "best marketing automation tools lead outreach CRM email workflows" (11,937)
• "best AI writing tools concise outputs" (9,683)

This maps exactly to what independent 2026 citation studies find: ranked, numbered Top-N lists are the format AI answer engines cite most. The buyer wants a shortlist with reasons, and the engine wants a page that already is one.

AI software research is bottom-of-funnel

The intent split is the finding most likely to surprise a marketing team that still treats AI search as a top-of-funnel awareness channel:

Commercial and Comparison together (41%) essentially tie with Informational. A buyer asking Copilot "best marketing automation platform for lead outreach" or "Wrike vs Asana" is not browsing. They are shortlisting vendors. This is why AI-referred traffic converts far better than generic organic: the engine only cites you once the buyer has already narrowed to a category and a use case.

Where the demand concentrates

Citations cluster in a handful of categories:

The AI-tools category is now the second-largest slice of software questions buyers put to AI, which is a fast reversal from a year ago. Design, marketing, and CRM round out the money categories. If you sell in these spaces, the AI retrieval layer is already sending qualified demand at scale.

Recency and price are first-class filters

Two modifiers show up constantly in the grounding queries:

• 12% of citations came from queries containing "2026." Buyers and engines both distrust stale lists. A guide dated to the current year is materially more retrievable.
• 8% of citations came from queries containing "free." Price is a primary filter, not an afterthought. "Best free X" is a distinct, high-volume retrieval mode.

The practical read: freshness and a clear free-tier answer are not nice-to-haves. They are retrieval features.

Comparison is its own mode

Beyond "best X," a distinct 626 grounding queries were head-to-head comparisons, driving 80,543 citations. The pattern is consistent: buyers use AI to referee a final two or three. "Really Simple Systems vs HubSpot Free vs Zoho vs Freshsales," "Wrike vs Asana," "ActiveCampaign vs HubSpot vs Mailchimp." A dedicated comparison page that lays the finalists side by side, with a data table, is the asset the engine reaches for at the decision moment.

What this means for vendors

• Get onto the "best X" pages that already rank in AI answers. One in three citations flows through them. A product page alone will not do it; third-party ranked lists are where the retrieval happens.
• Publish and date your comparison content. Comparison is 9% of citations and it is the lowest-funnel moment there is. Being absent from "you vs your top competitor" is losing the deal in the room.
• Answer "free" and "2026" explicitly. State the free tier plainly and keep the year current. Both are literal retrieval filters.
• Front-load the answer. Independent studies show most AI citations are extracted from the first third of a page. Put the shortlist, the numbers, and the verdict up top.

What this means for buyers

AI assistants are now a legitimate, and increasingly default, way to shortlist software. But remember what the data shows about how they work: they retrieve ranked third-party lists and comparisons, then summarize them. That is powerful for narrowing a field quickly, and it is exactly why the freshness and independence of the underlying source matters. Cross-check the AI's shortlist against a source that discloses its methodology and update dates, and treat a confident single-vendor answer with suspicion.

FAQ

What is a grounding query?
It is the search an AI answer engine (here, Bing Copilot) actually runs behind the scenes to gather sources before it writes an answer. It is derived from the user's prompt, not typed verbatim, which makes it a direct signal of what the retrieval layer goes looking for.

How is this different from the LLM Citation Index?
The LLM Citation Index 2026 measures the supply side: what content actually gets cited, on which page types, at what volume, from our server logs. This report measures the demand side: what buyers ask AI about software, from Bing's grounding-query export. Together they cover both halves of AI search.

Does "best X" really drive a third of citations?
Yes. 1,278 of 5,363 grounding queries contained "best," and they accounted for 33% of the 897,216 citations in the dataset. Ranked shortlists are the dominant retrieval format.

Is AI search top-of-funnel or bottom-of-funnel for software?
Both, but it skews lower than most teams assume. Commercial plus Comparison intent is 41% of citations, essentially tied with Informational at 34%. A large share of AI software queries are shortlisting and decision-stage.

Closing

The headline is simple: when B2B buyers ask AI about software, the engine goes looking for a fresh, ranked, third-party shortlist, and increasingly a head-to-head comparison. That is not a top-of-funnel awareness game. It is the moment of the decision, mediated by a machine that prefers structure over prose. Build the shortlist, date it, answer the free-tier and comparison questions directly, and you win the citation. Everyone else gets summarized out of the answer.

Toolradar Research. Based on 897,216 AI citations across 5,363 Bing Copilot grounding queries, period ending July 1, 2026.