Traditional SEO competes for a position in a list of links. AI search optimization competes to be the source an assistant quotes when it composes an answer, which means there is often no list at all. The inputs overlap — quality content, technical health, authority — but the differentiators are distinct: entity clarity so systems know exactly who you are, factual consistency across every place you appear, extractable answer formatting, structured data, and third-party corroboration. You can rank fifth on Google and be cited first by ChatGPT, or rank first and never be mentioned.
It draws on training data, connected search indexes and live retrieval, then synthesises. In practice the businesses that get named repeatedly share a profile: consistent name, address, phone and service descriptions everywhere they appear; a well-maintained Google Business Profile; strong and recent review sentiment; mentions in local press, roundups and directories the model treats as credible; and site content that answers the question directly in extractable form rather than burying it in marketing copy.
AEO is the practice of structuring your content so it can be lifted directly as an answer — clear question-shaped headings, a direct response in the first two sentences, supporting detail after, FAQ schema, and unambiguous local and service facts. For a South Florida business the local layer matters most: neighbourhood-level specificity, service-area clarity, and bilingual consideration in markets where a meaningful share of searches happen in Spanish.
The usual causes, in order of frequency: your content does not answer the question directly enough to be extracted; you have no structured data telling Google what your entity is; your business facts conflict between your site, your profile and directories; you have insufficient third-party corroboration for the claim you want cited; or you simply are not authoritative enough on that topic yet and a larger publisher is being quoted instead. All five are fixable, but they are different fixes.
Ignore the agency's own ranking for 'digital marketing agency Miami' — that term is gamed by everyone in the category. Instead ask for three current clients in your industry and call them, verify that the agency's claimed results appear in third-party visibility data, confirm you will own your accounts and data, and ask what they would decline to sell you. A useful filter in this market specifically: ask what they are doing about AI search visibility, because most Miami agencies still have no answer.
Four things: an unusually dense competitive field of local service businesses per capita; a bilingual search population where Spanish-language intent is genuinely material rather than an afterthought; extreme seasonality driven by tourism and snowbird cycles; and a geography where neighbourhood-level targeting matters more than city-level, because Brickell, Doral, Aventura and Fort Lauderdale behave as separate markets with separate competitors.
Substantially. Your profile is one of the most machine-readable, most-trusted descriptions of your business that exists, and assistants lean on it heavily for local recommendations. Complete categories, accurate hours and service areas, service listings, recent photos, active Q&A, and steady review velocity all feed both the map pack and the assistant shortlist. A neglected profile is the single most common reason a competent Miami business is invisible in AI answers.
Some, with caveats. The honest picture is that 'seo company south florida' is a genuinely low-competition search term — which tells you the category is under-served locally, not that cheap providers are good. A low-cost provider can be worth it for a narrow, verifiable scope: profile optimisation, citation cleanup, a technical audit. Be sceptical of low-cost ongoing retainers, where the economics force volume shortcuts that cost more to undo than they saved.
Small local businesses generally spend $1,500–$3,500 per month for a real local search programme. Competitive verticals — legal, medical, home services — run $3,500–$10,000. Enterprise and multi-location work exceeds that. Project work such as a technical audit or a site rebuild runs $2,500–$25,000. Anything under $750 per month in this market buys reporting, not work, and the gap tends to show up around month four.
Run the test yourself: ask ChatGPT, Perplexity and Gemini the three questions your best customers would ask before choosing someone like you. If you are not named in any of them and three competitors are, you have a measurable visibility gap that no ranking report is showing you. If your category is one where people research before calling — professional services, healthcare, high-consideration purchases — that gap is already costing you inquiries.
Fix your entity foundation before anything else. That means auditing every place your business name, address, phone, hours and service descriptions appear and making them identical; completing and actively maintaining your Google Business Profile; adding organisation, local business and service schema to your site; and rewriting your top three service pages so each opens with a direct, extractable answer to the question it targets. That work alone moves more businesses into AI answers than any content campaign.
Entity and structured-data fixes can change citation behaviour within four to eight weeks because they change how systems interpret you rather than how much they trust you. Content and authority work takes three to six months. Competitive categories where several rivals are also investing take longer. The honest framing is that AI visibility moves in steps rather than curves — you are frequently absent, then suddenly present, once the corroboration threshold is crossed.
Define a prompt set of twenty to fifty questions your buyers actually ask, run them across ChatGPT, Perplexity, Gemini and Google AI Overviews on a fixed schedule, and record whether you are named, in what position, and with what framing. That gives you citation share over time. Supplement with referral traffic segmented by AI-assistant source in your analytics, which is now measurable enough to trend.
Dedicated AI-visibility platforms have emerged and are improving, and some established SEO suites now include brand-mention tracking across assistants. For most local businesses a disciplined manual process — a fixed prompt set, run on a schedule, logged in a spreadsheet — is more reliable and far cheaper than tooling, because it tests exactly the questions your buyers ask rather than a generic keyword list.
Ask them to show you their own prompt-set tracking for an existing client, with dates. Ask how they handle entity consistency and what schema they implement. Ask what they measure other than rankings. And ask them to explain the difference between ranking and being cited — if they treat those as the same thing, they are selling classic SEO with a new label.
Yes. Google's blue links still carry most transactional local traffic, and the technical, content and authority foundations of classic SEO are prerequisites for AI citation anyway. AI search optimization is an additional layer on top of that foundation, not a replacement for it. Any agency presenting it as a substitute is either simplifying for the sales call or does not understand the mechanics.