The verdict in three sentences
For a private jet charter company in Washington DC, SEO captures urgent, precise demand ("private jet charter Dulles to Palm Beach", "empty leg Washington DC"), while AEO/GEO works one step earlier: the short list that AI assistants like ChatGPT offer when an executive assistant or a travel manager asks whom to trust with a flight. A young company gains from laying a factual SEO base first; an established brand mainly needs to check that AI assistants describe it accurately, especially its status as a broker or an operator. Measurement relies on Search Console and quote requests on one side, a dated record of AI answers on the other.
Who searches, and through which channel?
Washington's clientele has a particular profile: law and lobbying firms, federal contractors, trade associations, foreign delegations, wealthy families in Maryland and Northern Virginia. Flights often leave from Dulles, Leesburg or Manassas, and the security constraints of the capital's airspace are part of the questions asked. These profiles do not all use the same channels.
| Buyer profile | Typical question | Most likely channel | What they need to find |
|---|---|---|---|
| Executive assistant at a firm | "private jet for 6 passengers Washington to Teterboro tomorrow morning" | Google, urgent query | Route page, aircraft category, fast quote request |
| Travel manager at a federal contractor | "which Part 135 operators are based near Washington?" | AI assistants like ChatGPT, then verification | Exact status, certificate held, audits shown as actually held |
| Frequent-flying executive | "jet card or hourly charter: which makes sense from DC?" | AI assistant, comparison | Factual explainer page, no invented prices |
| Wealthy family | "empty leg Washington Florida December" | Up-to-date empty leg page | |
| Foreign delegation | "private aircraft charter Washington for a delegation, discretion" | AI assistant then Google | Groups and delegations page, multilingual contact |
| Event organizer | "jet charter Washington to Aspen ski season" | Seasonal route page |
A company can rank well on Google and be absent from AI answers, or the reverse. The diagnostic starts there.
Comparing the two investments
| Lever | What it targets | Time to effect | Market budget, 2026 ballpark | Metrics | Main risk |
|---|---|---|---|---|---|
| SEO | Route, empty leg and aircraft category pages on Google | 3 to 9 months | USD 2,500 to 7,000 per month at a specialist agency | Clicks, positions, quote requests | Mass-generated route pages, thin and duplicated |
| AEO/GEO | Being cited accurately in AI short lists | 2 to 6 months, highly variable | USD 3,000 to 9,000 diagnostic, then USD 1,500 to 5,000 per month | Share of answers citing the company, accuracy of status | An AI presenting a broker as an operator, or the reverse |
| Both, coordinated | Consistent information everywhere | 4 to 9 months | USD 4,000 to 10,000 per month | Qualified requests, citation share | Dilution if priorities are not set |
These ranges come from typical agency quotes and public rate pages; AEO is a young market and the spread is large. At Kolonell, this work is on quote.
One regulatory point weighs on both levers: in the United States, the distinction between an FAA Part 135 certificated operator and a broker is essential, and the Department of Transportation imposes disclosure obligations on air charter brokers. An optimized page suggesting that a broker operates its own aircraft is a risk, and an AI assistant repeating that confusion amplifies it. Safety ratings such as ARGUS or Wyvern should only appear if actually held, by the operator concerned. This is not legal advice.
How should you split the budget for your situation?
| Situation | SEO share | AEO/GEO share | Comment |
|---|---|---|---|
| Broker founded less than 2 years ago | 70 to 80% | 20 to 30% | Few public sources; factual indexed pages first |
| Established operator with a regionally based fleet | 50% | 50% | Mentions exist; check that fleet and certificate are relayed correctly |
| Recent name change or acquisition | 30 to 40% | 60 to 70% | AI assistants may cite the old entity for months |
| Annual budget under USD 25,000 | 60% | 40%, as a quarterly record | A regular record beats scattered actions |
| Heavy delegation and institutional clientele | 40% | 60% | These buyers compare extensively through AI assistants before calling |
What to measure, and what does a diagnostic cover?
For SEO, Search Console remains the reference: impressions and clicks per route page, branded and non-branded queries, pages slipping. Tie them to real quote requests and their conversion into flights. No serious provider promises a ranking.
For AEO/GEO, the honest measure is a dated record: 25 to 40 fixed questions, put to AI assistants like ChatGPT every month, answers archived. You track the share of answers citing the company, the accuracy of what is said (broker or operator status, bases, aircraft categories, audits), and the competitors mentioned. No provider can promise that an AI assistant will recommend your company.
A diagnostic usually covers the state of public information (website, aviation directories, registers, press), its consistency, key pages, structured data, the apparent compliance of wording, a first dated record and a recommended budget split. On the website side, accessibility (a WCAG 2.1 or 2.2 AA target, as ADA Title III suits are frequent) and the CAN-SPAM Act for empty leg emails are useful checks.
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Mini case study
Illustrative example: "Potomac Wing Charter", a broker based in Northern Virginia, has USD 48,000 a year. The initial record of 30 questions cites it in 4 answers, 2 of which wrongly present it as an operator. Chosen split: a diagnostic at USD 5,000, SEO at USD 2,500 a month over 12 months (USD 30,000), fixes and tracking at USD 1,000 a month for 13 months (USD 13,000), i.e. 5,000 + 30,000 + 13,000 = USD 48,000.
If the broker's average margin on a round trip is USD 4,000, it needs 12 extra flights in the year (48,000 / 4,000) to break even, one a month. That is the decision threshold, not a promise.
FAQ
Is SEO still enough for a private jet company in Washington DC?
It remains essential for urgent route-based requests. But a growing share of institutional buyers builds its short list through AI assistants; devoting 20 to 50% of the budget to AEO is common depending on the situation.
How much does an AI visibility diagnostic cost?
On the market, roughly USD 3,000 to 9,000 in 2026, depending on the number of questions and markets tracked. At Kolonell, it is priced on quote.
What if an AI assistant presents us as an operator when we are a broker?
Treat it as a priority, since it touches your disclosure obligations. Align the website, directories and public profiles, then check the outcome over 2 to 3 monthly records.
Can we show indicative prices per route?
Only realistic, dated ranges with their conditions. An inaccurate price picked up by an AI assistant or by Google creates an expectation the quote will have to contradict.
How long before we can measure an effect?
Allow 3 to 9 months for SEO and 2 to 6 months to see AI answers shift. A monthly record of 30 questions and tracking of quote requests give a reliable picture.
Find out how AI assistants describe your firm. We compare what Google and AI assistants like ChatGPT show about your company today and propose a costed split between SEO and AEO. 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.
