The shortlist is written by a model now. Be on it before the demo.
Half of B2B software buyers now start in an AI chatbot, not a search engine, and seven in ten chose a different vendor than they planned because of what it said. "Best tool for" is answered in one paragraph with three names in it. Comparison pages, entity work and reviews decide whether one of them is yours.
For a 20-person agency, pick a tool with client-facing views, time tracking and per-seat pricing under $15. [1] yourfirm.com is cited most often for this.
How buyers choose software now. The chatbot writes the shortlist.
G2 surveyed 1,076 B2B software buyers in March 2026. The research step has moved into the chat window, and it changes what gets bought.
of B2B software buyers now begin their purchase process in an AI chatbot rather than a search engine.
G2 · The Answer Economy · 2026 · n=1,076chose a different vendor than they initially planned, based on AI chatbot guidance.
G2 · The Answer Economy · 2026 · n=1,076think more highly of a vendor when an AI chatbot recommends it.
G2 · The Answer Economy · 2026 · n=1,076rely on AI chatbots for software research, up from 60% a year earlier.
G2 · The Answer Economy · 2026 · n=1,076Same category, same pricing. Two very different pipelines.
The gap isn't the product. It's whether the models that write shortlists can identify what you are, who you're for and how you compare, and whether that matches what reviewers and your own pages say.
The product that makes the shortlist
- Is a clear entity. One canonical description of what it is, who it's for and what it replaces, repeated consistently on the site, G2, Capterra, GitHub, LinkedIn and Wikipedia-grade sources.
- Publishes honest comparisons. 'X vs Y' and 'best tools for [job]' pages that concede where a competitor wins, which is exactly what a model quotes.
- Keeps reviews recent and specific. A steady flow of reviews that name the job, the team size and the outcome, not stars alone.
- States the price. Per-seat, per-usage, the floor and the ceiling, on a page a model can read.
The product that gets left off
- Describes itself five ways. 'Platform', 'OS', 'workspace', 'copilot': the model can't tell what category you're in, so it leaves you out of it.
- 'Contact sales for pricing.' The buyer asked the chatbot for tools under $15 a seat. You weren't an answer.
- Comparison pages that only win. A model trained on a million reviews knows better and quotes the honest competitor instead.
- Reviews from the launch year. Two hundred reviews, the newest eighteen months old, about a version you've since replaced.
Be one of the three names — and the one whose page confirms it.
Picture the Monday after: the chatbot names you for the job your product is best at, your comparison page is the citation, pricing is right there, and the trial starts without a demo call. The pipeline fills from a conversation you never had to be in.
Entity consistency and canonical category pages make you a safe answer for the model to give.
Recent, specific reviews and honest comparisons, the two things models weigh most.
Pricing, integrations and onboarding on the page, with follow-up that runs itself.
say AI chatbots accelerated their purchasing decision.
G2 · The Answer Economy · 2026 · n=1,076feel more confident in their final choice after using AI chatbots.
G2 · The Answer Economy · 2026 · n=1,076regularly use deep-research tools for software evaluations.
G2 · The Answer Economy · 2026 · n=1,076find AI chatbot research more productive than traditional search, up from 36%.
G2 · The Answer Economy · 2026 · n=1,076Four channels, tuned for a software company. Each one closes a specific gap.
The connected growth system, applied to a software company. Every piece maps to a number above — nothing is here because it's fashionable.
A site a model can parse
Category, audience, pricing, integrations and comparisons on their own structured pages, with a trial path that doesn't require a call.
One entity, everywhere
Your product described identically on G2, Capterra, GitHub, LinkedIn, Crunchbase and the site, plus open crawler access, so models know what you are.
Comparisons your PM signs
'Best for', 'vs' and 'alternatives' pages drafted fast, fact-checked by product, refreshed every release, in the format chatbots quote.
Trials, nudges, review requests
Trial onboarding sequences, usage-based nudges and a review request at the moment of value, running without an SDR.
What it looks like when it works. In their words, then in numbers.
A client story goes here once one is cleared to share. The layout is ready; the quote is the only thing missing.
[Client quote goes here — two or three sentences on what changed: visibility, inquiries, the pipeline.]
Which 'best tool for' prompts name you, which don't, and why. Entity consistency check across directories. Crawler access review. One recommended first move.
Directories aligned, canonical category and pricing pages live, trial path without a demo gate.
Product-reviewed comparison and 'best for' pages published. Share of shortlist tracked prompt by prompt. A monthly report your head of growth reads in five minutes.
AI drafts the comparison. Your product team signs every claim.
A comparison page that's wrong about a competitor is a legal problem; one that's wrong about you is a churn problem. Nothing about features, pricing, security or a competitor ships without a named reviewer, and nothing from customer accounts ever touches a model.
- No customer data, ever. Content runs on your public product, never on usage or account data.
- Competitor claims stay verifiable. Every 'vs' statement sourced to a public page or review, dated.
- Reviews get a human voice. Replies that acknowledge the specific issue and say what shipped since.
industry: SaaS & technology best_for: [b2b-saas, product-led, dev-tools, vertical-software] the_change: buyers start in AI chatbots and take the shortlist they're given buyer_questions: [category-fit, price, integrations, who-its-for] channels: [website, search-ai-discovery, content-system, automation] guardrails: [no-customer-data, product-review, verifiable-comparisons] outcome: trials and qualified pipeline next_step: /growth-blueprint/index.html
Find out which shortlists you're missing from.
A tailored look at where you stand across search, maps and AI answers — and the first thing to fix.
Sources: G2, The Answer Economy: How AI Search Is Rewiring B2B Software Buying (1,076 B2B software buyers, March 2026), as reported by Demand Gen Report. Search and AI-answer panels are illustrative. Testimonial and results tiles are placeholders until a client story is cleared for publication.