The verdict in three sentences
For a San Francisco M&A boutique, classic SEO still decides what a founder, a family business owner or a private equity associate finds when they type your firm's name or a partner's name, while AEO/GEO decides whether AI assistants like ChatGPT mention you when someone asks which advisers handle a $50 million SaaS exit. An established boutique with a known brand usually gets more from AEO/GEO first; a newer firm with thin pages needs SEO foundations, because AI answers draw on the same public evidence. Both are measured differently: Search Console and qualified inbound for one, a dated record of AI answers to the same questions for the other.
What buyers of M&A advice now ask before calling anyone
A founder in SoMa thinking about a sale rarely starts with “M&A advisor San Francisco”. Increasingly, they open an AI assistant and ask something like: “Which boutique banks in the Bay Area have sold vertical SaaS companies under $100 million?”, “Who advises on cybersecurity acqui-hires?”, or “Is a boutique better than a bulge bracket bank for a $30 million deal?”. A PE vice president screening sell-side partners asks for sector specialists with recent public tombstones. A family business owner in the East Bay asks what success fees typically look like.
The answers name a handful of firms. Whether yours appears depends on what the public web says about you: specific sector pages, partner biographies with verifiable backgrounds, publicly announced transactions, press coverage, conference talks and consistent directory listings. A site that says “we provide strategic advisory across industries” gives an AI assistant nothing to quote.
Note the regulatory backdrop. Many US M&A advisers operate through a FINRA registered broker-dealer, and some rely on narrower exemptions; the content rules that apply depend on your status. Only publish tombstones that are real and cleared for announcement, never imply outcomes for future clients, and have compliance review claims. This is not legal advice.
SEO and AEO/GEO side by side
| Dimension | SEO | AEO/GEO |
|---|---|---|
| What it targets | Google results for your name, partners, sectors | Mentions and descriptions in AI assistant answers |
| Typical queries | “[firm] San Francisco”, “sell-side M&A advisor SaaS Bay Area” | “Which boutiques sell climate tech companies?” |
| Time to visible effect | 3 to 9 months for brand and sector pages | Often 2 to 6 months to see shifts in answers, uneven |
| Market budget, 2026 ballpark | $3,000 to $12,000 a month (Bay Area agencies) | $5,000 to $15,000 diagnostic, $3,000 to $10,000 a month |
| Main metrics | Impressions, clicks, qualified inbound | Share of answers citing you, accuracy of the description |
| Main risk | Traffic that never turns into mandates | Answers that describe you wrongly or not at all |
These ranges come from typical agency quotes and public rate pages in the Bay Area; specialist financial services shops sit at the top of each range. Nobody can promise that an AI assistant will recommend your firm, and no serious provider promises a ranking either.
Where to put the first dollar, by situation
| Your situation | Priority | Why |
|---|---|---|
| Firm launched in the last 2 years | SEO foundations first | Few public signals; AI answers have little to draw on |
| Established brand, 10+ public deals | AEO/GEO diagnostic first | The evidence exists; check how it is being summarized |
| Partners spun out from a larger bank | Both, partner pages first | Buyers search people before firms |
| Content heavily constrained by compliance | SEO on brand and team pages | Fewer claims, more verifiable facts |
| Budget under $3,000 a month | One-off audit, then in-house updates | A thin retainer rarely moves either channel |
| Expansion into a new sector | Sector page and SEO, then AEO/GEO tracking | New sector needs its own proof first |
The practical consequence: the two channels share most of their raw material. A well documented sector page with real, announceable transactions helps Google and AI assistants at once. Where they diverge is measurement and what “success” means.
How results are measured, and what a diagnostic covers
SEO measurement is mature: Search Console impressions and clicks on brand, partner and sector queries, then the number of qualified conversations (founders, sponsors, intermediaries) tied to the site. A report built on total sessions tells you little in a business where five extra mandates a year change everything.
AEO/GEO measurement is younger and must be disciplined. The credible approach is a fixed list of buyer questions, asked to AI assistants like ChatGPT on a set schedule, with every answer dated and archived: is the firm named, in which position, with which description, citing which sources. Over six or twelve months, that record shows whether things move. A provider who reports a single screenshot is not measuring anything.
A serious diagnostic usually covers the questions your buyers ask, how answers describe you and your competitors today, which public sources those answers lean on, the gaps on your own site (sector pages, partner bios, deal pages), consistency of third party profiles, and accessibility basics. California privacy law (CCPA/CPRA) applies to the forms that collect founder data, and ADA website accessibility claims are frequent in the US, so a WCAG 2.1 or 2.2 AA target is sensible.
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Mini case study
Illustrative example: Embarcadero Ridge Advisors, 9 bankers, sell-side for B2B software companies between $20 million and $150 million. Its search budget is $60,000 a year. The partners compare two options: a $5,000 monthly SEO retainer ($60,000), or a $9,000 AEO/GEO diagnostic plus a $4,000 monthly retainer for the remaining 11 months ($9,000 + $44,000 = $53,000), all market assumptions.
The baseline matters more than the choice: on a list of 25 buyer questions, the firm appears in answers to 3. The scale of the stakes is easy to compute. A 2% success fee on a $40 million sale (market assumption) is $800,000, so a single additional mandate traced to search would cover more than 13 years of that budget. The partners choose the diagnostic route because they already have 14 public deals, and keep a dated monthly log of the 25 questions.
FAQ
Is AEO/GEO replacing SEO for M&A boutiques?
No. Founders still Google a firm before signing an engagement letter, and AI answers rely on the same public pages. Most boutiques split budget, often 60/40 one way or the other depending on brand maturity.
What does an AEO/GEO diagnostic cost in San Francisco?
As a 2026 ballpark, $5,000 to $15,000 for a one-off diagnostic from a specialist provider. Ongoing work typically runs $3,000 to $10,000 a month.
Can we list our past deals online?
Only transactions that are real and cleared for public announcement, with client consent where needed. Never inflate deal values, and route all deal pages through compliance before publishing.
How often should AI answers be checked?
Monthly is a common cadence, using the same 20 to 30 questions each time. Answers fluctuate, so trends over 6 months matter more than any single check.
Can a provider guarantee we will be recommended?
No. AI assistants decide their own answers, and any promise of a recommendation is a red flag. What a provider can do is improve the public evidence and measure the effect honestly.
Find out how AI assistants describe your firm. We record how AI assistants and Google present your boutique on your buyers' real questions, then scope the work on quote. 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.
