The verdict in three sentences
For a Toronto executive search firm, SEO still brings most of the candidate traffic and a share of board-level enquiries, while AEO/GEO shapes how AI assistants like ChatGPT describe your practice areas when a CHRO asks them for a shortlist of firms. Both draw on the same raw material: clear practice pages, named partners with verifiable experience and a consistent footprint across directories and Canadian business press. Invest first where your gap is measurable, and insist on a dated record of AI answers before you pay for anything labeled AEO.
Who asks what: clients, candidates and the AI in between
Executive search has two audiences that behave very differently online. Clients (board chairs, CEOs, CHROs at TSX-listed companies, pension plans, Crown corporations, downtown scale-ups) rarely type “executive search Toronto” and click the third result. They ask peers and, more and more, they ask an AI assistant to frame the market: “Which Toronto search firms specialize in CFO placements for mid-cap mining companies?” or “Boutique executive search firms in Toronto with a board practice and a diversity focus”.
Candidates search far more directly: “VP Finance roles Toronto executive search”, “how to send my resume to a retained search firm”. They land on mandate pages and on the resume submission form. Bilingual candidates add queries about French-speaking roles in financial institutions and federal agencies.
That split drives the investment. SEO serves the candidate side and the long tail of client research. AEO/GEO serves the shortlist moment, when a decision maker wants a synthesis instead of ten links. What an AI answer draws on to describe a search firm: identical practice area names across your site, LinkedIn and directories; partner bios with sectors and years of experience; thought leadership the firm actually produced; mentions in business press; a clear description of process and confidentiality. Never client names or placements you are not allowed to publish.
SEO and AEO/GEO side by side for a Toronto firm
Ranges are a 2026 ballpark based on typical agency quotes in Toronto, CAD amounts converted to USD approximately.
| Criterion | SEO | AEO/GEO |
|---|---|---|
| What it targets | Google rankings for practice, mandate and insight pages | Accurate mention of the firm in answers from AI assistants like ChatGPT |
| Typical queries | “executive search firm Toronto board practice”, “CFO search Toronto” | “Which Toronto firms should I use to hire a CFO in mining?” |
| Time to first effect | 2 to 4 months on candidate long tail, 4 to 9 months on competitive terms | Observed over 3 to 6 months, answers vary between sessions |
| Market budget | USD 2,200 to 5,800 a month (about CAD 3,000 to 8,000) | Diagnostic USD 2,500 to 7,000, ongoing USD 1,800 to 5,000 a month |
| Main metrics | Search Console impressions and clicks, qualified enquiries, resumes per mandate | Mention rate, accuracy of the description, sources cited |
| Main risks | Generic content, expired mandate pages left indexed | Wrong or outdated description, confusion with a similarly named competitor |
| Audience served first | Candidates and long-tail client research | Clients building a shortlist |
Where the first dollar goes: a decision by situation
| Situation | Priority | Why | Indicative split |
|---|---|---|---|
| New boutique, 2 to 4 partners spun out of a large network | SEO first | AI assistants have few sources on a new name, indexed and consistent pages come first | 75% SEO, 25% AEO |
| Established brand, strong referrals | Stronger AEO/GEO | The name already exists in sources, accuracy of the description is the issue | 50% SEO, 50% AEO |
| Sensitive practice (public sector, financial services boards) | Content review first | Copy must be approved, confidentiality beats volume | 60% SEO, 40% AEO, review included |
| Limited budget, under USD 2,000 a month | Targeted SEO | A quarterly AI record is enough, the rest funds practice pages | 85% SEO, 15% AEO |
| Launching a new practice (tech or AI leadership) | Both in parallel | The pages must exist and the practice must appear in answers | 60% SEO, 40% AEO |
| Many resumes, few client enquiries | AEO/GEO and client pages | Candidate traffic hides the gap on the decision-maker side | 45% SEO, 55% AEO |
How to measure each one without fooling yourself
SEO is measured in Search Console (impressions and clicks on practice and mandate pages), then in your business tools: qualified client enquiries, tagged calls, resume submissions per mandate. Keep resumes strictly apart from client enquiries, or a strong candidate month will look like a commercial win.
AEO/GEO is measured with a dated record: a fixed list of 20 to 40 questions a board chair or CHRO would genuinely ask, submitted at regular intervals, answers archived with the date. You note whether the firm appears, how it is described, whether the description is accurate and which sources are cited. Answers vary from one session to the next, so you read a trend over several quarters, not a single screenshot.
On compliance, the resume form falls under PIPEDA: collect only what you need, state the retention period, obtain consent. In Ontario, the AODA sets web accessibility requirements for some organizations depending on their size. Newsletters to clients and candidates are covered by CASL, which requires consent. This is not legal advice.
A diagnostic covers, in broad terms: how AI assistants describe the firm on a defined question set, a comparison with 3 to 5 peer firms, an inventory of the sources feeding those answers, a technical check of the site, an SEO baseline from Search Console and prioritized, budgeted recommendations. Allow 2 to 4 weeks.
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Mini case study
Illustrative example: “Harbourline Partners”, a 3-partner boutique near Bay Street with CFO and board practices. Budget: USD 4,000 a month for 12 months, so USD 48,000. Split: 60% SEO (USD 2,400 a month) on practice and mandate pages, 40% AEO/GEO (USD 1,600 a month) with a quarterly dated record.
Break-even: retained search fees are often around one third of first-year cash compensation. For a CFO at CAD 400,000, that is about CAD 133,000, roughly USD 96,000. A single extra mandate traceable to Google or AI assistants therefore covers the annual spend twice (96,000 / 48,000 = 2). That is the decision threshold, not a promised result.
FAQ
Should a Toronto search firm drop SEO for AEO/GEO in 2026?
No. Google is still where candidates look for mandates, and most boutiques are better off keeping at least 50 to 60% of the budget on SEO in year one. AEO/GEO complements it rather than replacing it.
How long before AI assistants describe our firm differently?
Plan on 3 to 6 months of observation, with answers that vary between sessions. No serious provider promises a recommendation by an AI, only a dated record and clearer sources.
Can we publish placements to feed AI answers?
Only with explicit consent from both client and candidate. Otherwise, anonymized cases (sector, company size, assignment length such as 14 weeks) are enough to show expertise.
What does an AI visibility diagnostic cost in Toronto?
As a 2026 ballpark, USD 2,500 to 7,000 depending on the number of questions and competitors compared, about CAD 3,500 to 9,700. At Kolonell this work is on quote.
How do we keep the resume form compliant?
Limit fields to what is strictly needed, display a retention period chosen by the firm (24 months, for instance) and explicit consent. A review by your privacy advisor is still recommended.
Find out how AI assistants describe your firm. We record what AI assistants like ChatGPT say today about your firm and practices, compared with your Toronto peers. Request a diagnostic quote: reply within 48 hours.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
