AI visibility for a funded B2B software company in Toronto: what buyers now ask ChatGPT and what it takes (2026)

The verdict in three sentences

Buyers evaluating B2B software in Toronto increasingly open a shortlist by asking AI assistants like ChatGPT questions such as which SOC 2 vendors integrate with NetSuite and host data in Canada, and the answer names a handful of companies. Whether yours is among them depends on consistent, verifiable public information about your product, security posture and customers, published on your site and echoed by credible third parties. Specialist work on this costs roughly USD 2,200 to 9,000 per month in Toronto in 2026, and it should be judged on a dated record of answers to a fixed set of questions, never on a promise of being recommended.

What are Toronto buyers asking before they book a demo?

Controllers, IT directors and operations leads at mid-market companies in the Greater Toronto Area now use AI assistants for the first pass that used to happen on review sites and in Google. Their questions are long and specific, and they often carry Canadian constraints: data residency, French-language support for Quebec teams, compatibility with the ERP their finance team already runs. Below are realistic examples for a funded vertical software company selling from Toronto.

Half of these questions contain your name. The assistant answers them whether or not you have published anything useful, so the commercial risk is twofold: absence from category questions, and an inaccurate description (an old price, a certification you no longer mention, a competitor's feature) when a buyer asks about you directly.

Why do some software companies show up and others stay invisible?

Assistants that search the web assemble answers from sources they can read and cross-check. The companies that appear tend to have the same facts everywhere: one product category, one headquarters, one pricing logic, repeated on the site, LinkedIn, company databases and press coverage. They also have independent mentions: software review platforms, partner directories of the ERPs and CRMs they integrate with, analyst notes, local tech press and podcasts.

Factual pages matter more than slogans. A security page that says enterprise-grade security gives an assistant nothing to quote, while a dated list of what you actually hold (SOC 2 Type II report issued in a given month, ISO 27001 only if certified) does. Structured data describing the organisation and the software, reviews where your market allows them, and freshness complete the picture. Canadian specifics apply: PIPEDA frames how you describe personal data handling, accessibility of your site matters if you sell to Ontario public bodies or large enterprises with AODA obligations, and CASL governs the commercial emails you send to prospects who download gated content. This is not legal advice.

What does the work cover, and what does it cost in Toronto?

In broad terms, AI visibility work combines a baseline of how assistants currently describe you, alignment of public facts across your own and third-party profiles, production of factual pages your buyers' questions require, digital PR and review programmes, technical clean-up including structured data, and recurring measurement.

The market is young and pricing is not standardised. The ranges below are a 2026 ballpark drawn from typical agency quotes and public rate pages, with CAD converted approximately at 1 CAD ≈ 0.72 USD.

When comparing quotes, ask each provider which questions they will track, how often, how many times each question is repeated, and who owns the record at the end of the contract.

How do you know whether it is working?

Measurement starts with a fixed set of 20 to 40 questions written from real sales conversations, asked at a set interval, with every answer saved verbatim and dated. Because answers vary from one run to the next, each question is asked several times. From that record you track the share of answers that mention your company, the accuracy of what is said (pricing model, certifications, headquarters, integrations), and how you are positioned against named competitors. Add a free-text field on the demo form asking where the buyer first heard of you.

Mini case study

Illustrative example: Northlake Ledger, a fictional Toronto accounts payable software company after its Series A, 45 people. The baseline uses 30 questions, each asked 3 times: 90 answers. The company is named in 9 of them, so 10%, and 4 of those 9 quote a price from an old plan.

The team weighs a retainer at USD 4,500 per month, so USD 54,000 for the first year. Its average contract is USD 27,000 in annual recurring revenue, so two additional closed deals sourced through AI answers cover year one before counting renewals. The board agrees to review at month 6 against the dated record and the demo form data, with no expectation of a specific mention rate.

FAQ

Can a provider guarantee that ChatGPT will recommend us?

No. Answers vary between runs and change as models and sources update, so any contract promising a recommendation is a warning sign. What a provider can commit to is a defined question set, a monthly dated record and a list of deliverables.

How long before the answers change?

For assistants that search the web, changes often appear within 3 to 6 months of publishing clearer pages and earning third-party mentions. Answers that rely on a model's training data move more slowly, on the vendor's own update schedule.

Should we publish pricing to be described correctly?

It is not mandatory, but explaining the model (per seat, per volume, a starting figure) reduces guessed numbers. A single page updated at each price change is often enough to stop an old figure circulating.

Does this replace our SEO budget?

No, the two overlap heavily because assistants that browse rely on pages that are crawlable and well ranked. Many Toronto software companies start by allocating 20 to 30% of an existing SEO budget to AI visibility and measurement.

Find out how AI assistants describe your firm. We record what assistants say about your company and three competitors on 30 buyer questions, then propose a scope matched to your sales cycle. Request a diagnostic quote: reply within 48 hours.