AI visibility guides — VX-N

Guides, comparisons and answers about visibility in AI engines.

What is answer engine optimization (AEO)? — Answer engine optimization (AEO) is the work of making AI assistants — ChatGPT, Perplexity, Gemini, Google's AI Overviews — mention, cite and recommend your business when people ask them questions. Where SEO competes for a position on a results page, AEO competes for a place inside the answer itself. The levers are different: branded mentions across the web, content freshness, and answer-first formats matter more than backlinks or word count.

How does ChatGPT decide which businesses to recommend? — Two mechanisms: what the model already learned about your category from its training data, and what it retrieves from the live web at the moment of the question. Recommendations favour businesses that are mentioned consistently across many independent sources, described the same way everywhere, and covered by recently updated pages the assistant can read. No one — including OpenAI — sells guaranteed placement in the organic answer.

How to advertise on ChatGPT: the operator's guide — Through OpenAI's ads platform: you create campaigns, write short text-and-image ads, and target by conversation context rather than keywords. Ads appear as labelled placements alongside relevant conversations. We run our own campaigns on the platform, and the honest summary is: the mechanics feel familiar, but targeting by context instead of keywords changes what good creative looks like — and early auctions are far less crowded than mature ad platforms.

How to get your business recommended by ChatGPT — Four moves, in order: make sure AI crawlers can read your site at all; publish pages that answer your buyers' questions in the first two sentences; earn mentions on the directories, lists and communities ChatGPT already cites in your category; and refresh it all on a monthly cadence, because cited content is overwhelmingly recent. Off-site mentions are the strongest single lever — this is a reputation game across the whole web, not a tweak to your homepage.

The technical AEO checklist: what to verify before anything else — Eight checks: AI crawlers allowed in robots.txt; your CDN or firewall not silently blocking them; content readable without JavaScript; fast responses; clean heading structure with self-contained sections; correct structured data; AI-hallucinated URLs redirected instead of 404ing; and analytics that can actually see AI referrals. Most businesses fail at least two of these without knowing it.

What is an AI visibility audit — and what should one contain? — A structured test of how AI assistants treat your business today: the questions your buyers ask, run live across ChatGPT, Perplexity, Gemini and Google's AI surfaces, recording who gets named, what gets said about you, which sources are cited, and what is technically blocking you. The output is a gap map and a prioritised plan — not a score. We deliver ours in writing within 24 hours of the first call, and it costs you nothing.

How to measure traffic and leads from AI assistants — Three layers, because no single one tells the truth: a custom analytics channel that groups AI referrers (chatgpt.com, perplexity.ai, gemini.google.com and the rest); server logs showing which pages AI bots fetch; and a "how did you hear about us" question on your intake forms. The last layer matters most — several AI platforms strip referrer data, so analytics undercounts, and self-reported attribution is where AI-driven revenue actually becomes visible.

What content do AI assistants actually cite? — Comparisons, listicles, honest guides and pages with original numbers — written answer-first and kept current. Ahrefs found 43.8% of AI-cited pages are listicles, content length correlates with citation at just 0.04, and 76% of ChatGPT's most-cited pages were updated within thirty days. The classic corporate page — the brochure homepage, the vague services page — is nearly uncitable, because it answers no question.

The expensive AEO mistakes we keep seeing — The five we meet most: a site AI crawlers cannot read (blocked or JavaScript-only); optimizing for one prompt when assistants expand every question into many; chasing word count when freshness and format drive citations; treating a lucky screenshot as proof; and doing all the work on your own domain when off-site mentions are the strongest lever. Each one burns months. All five are avoidable in the first week.

AEO vs SEO: what actually changes — SEO earns a position on a results page a human scans; AEO earns a mention inside an answer an AI composes. SEO remains the foundation — assistants retrieve from pages that rank — but the winning levers shift: branded mentions across the web outweigh backlinks, freshness outweighs length, and comparison-format content outperforms the product pages that win classic search. You need both, run as one strategy.

ChatGPT ads vs Google Ads: an honest comparison from a buyer of both — Google Ads wins on volume and mature tooling; ChatGPT ads win on cheap early auctions and reaching buyers mid-question, before they ever type a search. Google matches your ad to a keyword; ChatGPT matches it to a conversation. For most businesses the answer is sequencing, not either/or: keep the Google campaigns that already pay, and take an early position in the AI auction while it is still uncrowded.

ChatGPT ads vs Meta ads: intent you rent vs attention you interrupt — Meta buys enormous, cheap attention and manufactures demand by interruption; ChatGPT ads sit beside an actively asked question, so the intent arrives built-in. For impulse-friendly consumer offers, Meta's volume usually wins. For considered purchases and B2B — where a feed click rarely survives the sales process — placement inside the buyer's research conversation is worth several times the raw click volume it replaces.

AEO vs AI ads: earn the answer or buy the placement? — Ads buy speed: a labelled placement inside ChatGPT within days, measurable to the booked call, gone when spend stops. AEO builds the durable asset: organic mentions that compound and keep recommending you at no marginal cost, on a curve measured in months. The sequencing that works: ads immediately for cash flow and market feedback, AEO from the same week for the asset — the ads' conversation data tells you exactly which questions the organic content must own.

AEO agency vs in-house: who should run your AI visibility? — In-house wins on business knowledge — nobody knows your customers' language like your own team. A specialist wins on pattern exposure: what actually moves citations across many clients, the technical diagnosis, the mention-building machinery, and disciplined measurement. The honest answer for most established businesses is a hybrid: a specialist runs the audit, the technical floor, measurement and mention outreach; your team feeds it the customer language and reviews everything for truth.

SEO agency vs AEO agency: how to tell who you're actually hiring — The scoreboard. An SEO agency is accountable for rankings and organic clicks; a real AEO practice is accountable for what AI assistants say — measured by repeated prompt testing across ChatGPT, Perplexity, Gemini and Google's AI surfaces, plus mentions earned on the pages those assistants cite. Since every SEO agency now claims AEO, the reliable test is the deliverables: if the report shows positions instead of share of voice, you are buying SEO with a new label.

Google AI Overviews vs ChatGPT vs Perplexity: where to build visibility first — They cite meaningfully different webs — only about 14% of top-cited domains overlap across Google's AI surfaces, ChatGPT and Perplexity — so "AI visibility" is three campaigns wearing one name. The default order for a business already ranking anywhere: Perplexity first (it retrieves most heavily from Google's top ten, so existing rankings convert fastest), Google's AI surfaces second (largest audience), ChatGPT third (biggest prize, slowest organic build — and the one where ads can buy immediate presence).

AEO vs GEO vs LLMO: three names, one discipline — Almost nothing in practice. AEO (answer engine optimization), GEO (generative engine optimization) and LLMO (large language model optimization) all describe the same work: making AI systems mention, cite and recommend your business. The emphasis differs slightly — AEO frames it around answers, GEO around generative search, LLMO around the models' training data — but the levers are identical: mentions, freshness, retrievable answer-first content, and the technical floor. Pick one term, do the work.

AEO for law firms: being the firm ChatGPT names — Legal clients increasingly start with an assistant — "do I have a case", "what does a real estate lawyer cost", "best employment lawyer near me" — and assistants answer from legal directories, bar listings, review aggregators and firms whose sites actually answer questions. The firms getting named publish plain-language answers to the questions behind each practice area, hold strong directory profiles, and keep both current. Most firm websites — brochure pages about the firm's history — are effectively invisible to this entire channel.

AEO for accounting firms: the firm the assistant suggests at tax time — Tax and bookkeeping questions are among the most-asked commercial queries on AI assistants, and the answers cite firms that publish current-year, jurisdiction-specific guidance. The winning motion for an accounting firm is narrow and repeatable: pick the niches you actually serve, answer their real questions with this year's numbers and deadlines, refresh relentlessly — stale tax content is worse than none — and hold the directory and review presence assistants retrieve for "accountant near me" intent.

AEO for auto dealers: winning the shopper who asks before they search — Car buying is research-heavy, which makes it assistant-heavy: "is this model reliable", "fair price for a three-year-old SUV", "dealer or private sale", "can I get financed with bruised credit". Assistants answer from review aggregators, marketplace listings, forums and dealer sites that publish straight answers. Dealers win by publishing honest buying and financing guidance — especially credit-situation content almost nobody writes candidly — keeping review profiles strong, and making inventory pages readable to crawlers that do not run JavaScript.

AEO for property managers: the firm owners find when they've had enough — Property management is switched, not discovered: owners ask assistants "what should a property manager cost", "is my manager overcharging me", "self-manage or hire" at the moment of frustration. Assistants cite fee-transparency content, local landlord-law answers and review-backed local lists. The firm that publishes its fee structure plainly, answers the switching questions honestly, and holds current local-legislation pages gets named at exactly the moment owners are ready to move — the highest-intent moment in the category.

AEO for staffing agencies: cited on both sides of the placement — Staffing is a two-sided reputation business, and assistants now sit on both sides: employers ask "what does a staffing agency cost" and "agency vs direct hire"; candidates ask "is this agency legit" and "do I pay a recruiter". Citations go to agencies that answer the money questions plainly — markup structures, fee models, who pays what — and to niche specialists whose content proves they know one industry deeply. Generalist agencies with brochure sites are invisible on both sides at once.

AEO for contractors and builders: named before the neighbour gets asked — Homeowners and developers now rehearse the entire project with an assistant before contacting anyone: what it should cost, how long it takes, what goes wrong, how to vet the contractor. Citations flow to cost-transparency content, process explanations and review-backed local presence. A contractor who publishes real price ranges for real project types in their market — the thing the whole industry refuses to do — plus visible proof of finished work, gets named at the planning stage, which is where the good projects are won.

AEO for HVAC, plumbing and electrical: the name the assistant gives at 11pm — Two moments decide this trade: the emergency ("furnace died, what do I do") and the replacement ("repair or replace, what does it cost"). Assistants handle both — walking the homeowner through triage, then naming who to call, pulled from review aggregators, local directories and companies whose sites answer the diagnostic and pricing questions. The company that publishes honest diagnosis content and real price ranges gets recommended in both moments; the one with a phone number and a coupon pop-up gets neither.

AEO for clinics: the practice the assistant suggests after the symptom question — Patient journeys now start with an assistant — symptoms, treatment options, "does physio help this", "what does this procedure cost" — and end with a provider recommendation pulled from directories, review platforms and clinics whose sites answer treatment questions plainly. Clinics get named by publishing compliant, plain-language answers about conditions they treat, being transparent about process and pricing where regulations allow, and holding a strong review and directory presence. Health advertising rules apply throughout — this is a category where the compliant version is also the effective version.

AEO for real estate teams: cited in the conversation before the portal search — Buyers and sellers now interrogate assistants before any portal: is it a good time, what are homes doing in this neighbourhood, what do agents charge, how do I pick one. Assistants cite hyperlocal market content, commission-transparency pages and review-backed team profiles. The teams getting named publish neighbourhood-level market updates with real numbers on a monthly cadence — original local data no national portal matches — and answer the commission and process questions the industry prefers to keep for the listing appointment.