The verdict in three sentences
For a funded B2B software company in New York, SEO still carries most of the measurable pipeline, because IT, operations and finance buyers keep searching for comparisons, integrations and pricing on Google. AEO/GEO, being described accurately when buyers ask AI assistants like ChatGPT to shortlist vendors, is now a second front that shapes the shortlist before anyone reaches your site. Most Series A and B teams should keep SEO as the base, ring-fence roughly 20 to 35 % of the search budget for AI visibility, and judge both on pipeline and on a dated record of AI answers, not on traffic alone.
SEO and AEO/GEO side by side for a New York software company
| Dimension | SEO | AEO/GEO |
|---|---|---|
| What it targets | Positions for queries like "SOC 2 compliant expense software" or "NetSuite integration" | Being named and described correctly in AI answers to "best tools for..." prompts |
| Time to first effect | 3 to 6 months on long-tail, 9 to 15 months on head terms | Weeks for own-site fixes, 3 to 9 months for third-party signals |
| 2026 market budget ballpark | USD 6,000 to 20,000 per month for funded SaaS in NYC | USD 3,000 to 10,000 per month, diagnostic USD 3,000 to 8,000 |
| Main metrics | Impressions, demo requests, sourced pipeline | Share of answers naming you, accuracy, sources cited |
| Typical risk | Content volume without buyer intent | Inaccurate claims about features or compliance repeated by assistants |
| Who owns it internally | Growth or content lead | Product marketing, with sales input |
Budget ranges come from typical agency quotes and public rate pages in New York, not from a study. AI visibility is an emerging market, so spreads between providers remain wide.
Where to invest, by situation
| Your situation | Lean toward | Reason |
|---|---|---|
| Seed or early Series A, category still forming | AEO/GEO first, light SEO | Buyers ask assistants to explain the category; few search volumes yet |
| Series B, established brand in a crowded category | SEO base plus AEO/GEO at about 25 % | Comparison searches drive demos; assistants decide shortlists |
| Heavy compliance content (fintech, health, security) | Both, with legal review | Wrong statements on certifications are costly in either channel |
| Limited budget, under USD 5,000 per month | Fix product, pricing and integration pages first | Those pages feed both search engines and assistants |
| Enterprise sales motion, long cycles | AEO/GEO and analyst-style content | Buying committees research quietly before contacting sales |
| Product-led growth with self-serve signups | SEO weighted | Volume of intent queries converts directly |
The overlap is large. Clear product pages, an honest pricing page, integration documentation and security pages listing only the certifications you actually hold (SOC 2, ISO 27001 or none) serve both channels.
How results are measured
SEO measurement is familiar: Search Console for impressions and queries, your CRM for demo requests and pipeline sourced from organic search, ideally with deal values attached.
AI visibility needs a different instrument. A fixed set of buyer prompts, for instance 40 questions such as "which spend management tools integrate with NetSuite for a 200-person company", is asked on the same dates each month and every answer is stored. From that record you read the share of answers that mention you, whether features, pricing and compliance are described correctly, and which sources the assistant leans on. Add a "how did you hear about us" field to demo forms, because assistant-driven visits often arrive as direct traffic. No provider can promise that an assistant will recommend you.
A few US points to keep in mind: there is no single federal privacy law, so the states where your users sit matter; California's CCPA/CPRA is often relevant for SaaS selling nationwide; CAN-SPAM covers marketing email; and website accessibility claims under ADA Title III are frequent, with WCAG 2.1 or 2.2 AA as the usual target. This is not legal advice.
What a diagnostic covers
In broad terms, a diagnostic reviews how your company and its competitors are described today in AI answers to a set of buyer prompts, checks the accuracy of what is said about product, pricing and compliance, maps the sources behind those answers, audits the site pages both channels depend on, and sets a baseline for the dated record. It ends with a recommended split of budget between SEO and AEO/GEO for your stage.
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Illustrative example: Ledgerline, a fictional Series A spend management company in the Flatiron District, has USD 10,000 per month for search.
- Split: USD 7,000 SEO + USD 3,000 AEO/GEO = USD 10,000 per month, so USD 120,000 a year (30 % to AI visibility).
- Diagnostic baseline: 40 prompts x 12 months = 480 dated answers over the first year.
- First fixes: the pricing page hid plan limits, two review profiles listed an outdated product name, and the security page implied a certification still in progress.
- Economics: with an average contract value of USD 30,000 (market assumption), four new customers sourced or influenced by search cover the year (120,000 / 30,000 = 4).
FAQ
Is AEO/GEO replacing SEO for B2B software?
Not in 2026. Search still drives most measurable demo requests for many SaaS companies, while assistants increasingly shape which 3 to 5 vendors make the shortlist.
How fast can we see changes in AI answers?
Corrections on your own pages can appear within a few weeks; third-party profiles and reviews usually take 3 to 9 months to influence answers consistently.
What share of the budget should go to AI visibility?
A common starting point is 20 to 35 % of the search budget, adjusted after the first 3 months of dated answers. Early-stage category creators may go higher.
Can we claim compliance certifications that are in progress?
State them exactly as they are, for example "SOC 2 Type II audit in progress", with a date. Assistants repeat what they read, so overstated claims spread quickly.
What does a diagnostic deliver?
A dated record of 40 to 60 answers, accuracy issues, competitor comparison, the sources cited and a budget split recommendation, usually within 2 to 3 weeks.
Find out how AI assistants describe your firm. We will record what assistants say today about your product, pricing and compliance and compare it with your competitors. 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.
