AEO and GEO: get AI to cite your brand when someone asks

Why AEO matters now and why Panama is behind

Searches are migrating toward generative engines, though it is worth reading the data precisely rather than exaggerating it. Among AI tools, ChatGPT leads —with shares that, depending on methodology, run from 60% to 80%—, but the market is fragmenting fast: in measurable B2B referrals, ChatGPT dropped from around 89% in mid-2025 to about 63% in 2026, while Claude jumped to second place and Gemini and Perplexity gained ground. At the same time, in total search referrals Google still leads comfortably. The honest conclusion is not "nobody uses Google anymore", but that in research and comparison queries —the ones that precede a purchase— a growing portion happens in AI engines, and that is where it is decided whether your brand appears or not.

The figure that makes this urgent is the value of that traffic: visits arriving from AI engines convert at around 14% versus 2.8% for traditional organic traffic, because they arrive with purchase intent already formed. And there are concrete signals of what moves the needle: pages with author schema are about three times more likely to be cited in AI answers (BrightEdge), and industry benchmarks across billions of sessions confirm that a mid-sized company with structured content and verifiable data can outperform larger competitors that are not optimized for AI extraction. It is not a promise: it is the mechanics we work across the six layers.

In Panama, the competitive landscape changed in 2026: agencies offering AEO or "AI positioning" have appeared. Most sell it with promises of "being #1" that no one can keep, often from sites whose own content AI engines would discard as a source. That asymmetry is the opportunity. A Panamanian company that applies AEO with an honest method now consolidates a position in its sector while the competition promises smoke. In 12 to 24 months, when the local market matures, the brand that arrived first and well will already have the network of mentions, citations and authority that AI engines reinforce cumulatively. It is a "moat"-type advantage: not easily bought or replaced later.

What we do exactly: the six layers of the service

The service covers six technical and content layers that, together, determine whether AI engines consider your site a reliable, extractable source. We do not sell "AEO" as an abstract concept: we sell specific work that can be inspected and measured.

Layer one: complete initial audit. Technical analysis of current schema.org, semantic structure, FAQs, freshness, bot configuration. We identify what is right and what is missing, prioritized by impact. This is delivered as a readable, non-technical report with an actionable plan. If the site fails on critical basics (speed, auto-generated content, architecture), we say so honestly and propose the correct order before continuing.

Layer two: structured data implementation. Complete schema.org JSON-LD on all relevant pages: Organization, LocalBusiness, Service, Article, FAQPage, BreadcrumbList, HowTo as appropriate. Each schema validated in the Rich Results Test, correctly linked with @graph and coherent with the visible content. Pages with FAQ schema are 3.2 times more likely to appear in Google AI Overviews and are the format most extracted by ChatGPT and Perplexity.

Layer three: content optimized for AI extraction. Rewriting key sections into self-contained question-answer format, paragraphs extractable as independent blocks, removal of filler that models detect as auto-generated content, inclusion of verifiable proprietary data. We also produce new content in the formats the public Omnia database identifies as most cited: comparisons with clear criteria, step-by-step guides, lists with explicit criteria, definitions with local context.

Layer four: prompt universe and baseline. We design a battery of 20 to 40 prompts representative of the real searches in your sector, split between generic local search, specialty search and broad category search. We run that battery on ChatGPT, Perplexity and Gemini to establish a baseline: where you appear today, where your competition appears, what sources are cited in your sector. This baseline is the reference against which all progress is measured.

Layer five: monthly citation monitoring. We repeat the prompt battery every 4 to 6 weeks and record results: whether your brand appeared, how it was described, what sources were mentioned alongside yours, what sentiment the answer conveys. Each month you receive a brief report with what changed since the previous month, which prompts improved, which regressed and what adjustments we recommend. No empty charts: only what matters for the next decision.

Layer six: external presence and cross-citations. AI engines reward brand mentions in reliable external sources, even without a link. We work on identifying mention opportunities: Panamanian sector directories, specialized local media, relevant professional forums, selective participation in communities (LinkedIn Panama, professional groups). We do not promise aggressive media coverage; we do promise patient construction of an external footprint coherent with the brand.

How this translates into what you contract

The six layers above are the underlying work. To make it easy to know what you are contracting, we group it into three fronts, described with honesty about what can and cannot be promised.

Entity optimization and references. We work the signals that increase the probability that ChatGPT, Gemini and Perplexity recognize your brand and cite it as a source: entity in the Knowledge Graph, schema, identity consistency and verifiable authority. What we do not do is promise that "the model will identify you as a leader in its neural network": no one edits a model's weights from outside, and whoever promises that is selling smoke. What we do move, measurably, is how AI sees and cites you.

Readiness for AI crawlers (GPTBot Readiness). We adjust the site's technical configuration so that OpenAI, Google and Perplexity agents can crawl and understand your content: robots.txt with explicit permissions for OAI-SearchBot, ChatGPT-User, PerplexityBot and Google-Extended, clean structure and extractable structured data. Allowing GPTBot is a cost-benefit decision we evaluate with you, not a switch flipped blindly, because today these crawlers return little direct traffic in return.

Strategy for ChatGPT search and answer engines. We monitor and work your visibility inside assistants' answers, with the prompt battery and the monthly tracking of layers four and five. We call it that, and not "SearchGPT strategy", because OpenAI folded that brand into ChatGPT's own search; tying yourself to a name the provider is already retiring confuses more than it clarifies. The strategy adapts to how the AI market is shared today, where ChatGPT leads but Claude, Gemini and Perplexity are gaining ground.

The zero-click strategy: why we measure the citation, not just the click

AEO is not an optional complement to SEO in 2026: it is the response to a change that has already happened in search behavior. 64.82% of Google searches end without the user clicking any external link, according to data from SparkToro and Datos. When an AI Overview appears the figure rises to 83%, and in AI Mode —which Google brought to a billion users at its I/O conference in May 2026— Seer Interactive measured 93% of searches with no click. The consequence for your company is concrete: optimizing only to win the #1 position captures less than half of search's real influence, because two of every three queries no longer produce a visit.

That is why the service measures a metric almost no Panamanian agency reports yet: citation share, that is, how often your brand is the source the AI box names when building its answer. It is not a naming whim. Brands cited within an AI Overview gain 35% more organic clicks and 91% more paid clicks than those not cited in the same query (Seer Interactive). And citation is not permanent: 70% of cited pages change their status in two or three months, so monitoring it needs the same cadence as monitoring positions. That is exactly what layers four and five of the service do.

The part that protects your investment is knowing where the click survives and where it was lost. Not all queries lose traffic equally: local searches trigger an AI Overview only 7.9% of the time, shopping searches 3.2% and real estate 5.8% (Ahrefs). If your business lives on local and transactional queries —"plumber in Costa del Este", "buy parts on Vía España"— that traffic remains intact and is best reinforced with local SEO, not AEO. AEO pays off where the box eats the informational content. The first phase of the service segments your queries by AI exposure precisely so as not to spend effort where the box already won. We develop the full framework in the analysis of zero-click search in 2026.

Our methodology in five phases

The service runs in five ordered phases. They are not rigid but the order matters because each phase leverages the previous one.

Phase 1 — Diagnosis (weeks 1 and 2). Complete technical audit of the site, definition of the prompt universe, visibility baseline on the three main platforms, analysis of direct and indirect competition. At the end of the phase you have an actionable report and a prioritized plan.

Phase 2 — Technical foundation (weeks 3 to 6). Implementation of structured data, bot configuration adjustments, correction of technical problems identified in the diagnosis. This phase is the one that produces the most change in the least time: when a site goes from zero schema to complete, correctly implemented schema, the effect, especially on Perplexity, is fast.

Phase 3 — Content optimization (weeks 6 to 12). Rewriting main pages into AEO format, creating real FAQs with FAQPage schema, cleaning filler from existing content, publishing new comparisons and guides in citable formats. This phase is the most laborious because it touches substantive content.

Phase 4 — External construction (from month 3). Identification and execution of external mention opportunities: directories, sector media, selective participation. This phase has no clear end: it continues while the retainer is active.

Phase 5 — Monitoring and refinement (ongoing). Monthly reports with prompt tracking, adjustments based on results, schema updates when something in the sector changes, refreshing pillar pages each quarter. Continuity is what maintains the freshness AI engines reward; AirOps documented that pages not refreshed quarterly are three times more likely to lose citations.

Plans and public pricing

Most AEO agencies in the world do not publish prices; ours do because transparency is part of the product. Three levels, with no mandatory lock-in, with the option to start with the one-time audit before committing to a retainer.

Any plan can be adjusted for specific needs. The prices are clear references, not fine print: what you see is what you pay and what you get in return.

To put the prices in context: what the rest of the world charges

The rates you see above are significantly lower than those of saturated markets. It is worth showing it openly because the difference explains why it makes sense to move now from Panama. In the United States and Europe, according to data published by agencies like Stackmatix, Digital Elevator, Discovered Labs and Fuel Online in 2026, AEO retainers typically sit in these ranges: USD 1,500 to 5,000 monthly for small businesses, USD 2,000 to 10,000 for mid-market, USD 5,000 to 25,000 for enterprise. One-time audit sprints cost between USD 1,000 and 5,000. The higher rates reflect markets where AEO competition is already fierce and where investment is necessary to maintain visibility gained.

In Panama those prices make no sense for two reasons. First, the market does not yet justify them because the direct ROI of AEO is built over time as more users use AI engines in their purchase decisions; paying saturated-market prices for work in a market that is just taking off is not reasonable. Second, local competition is practically nil: gaining visibility requires less effort and less investment than in markets where ten agencies are already fighting for the same citations. Our prices reflect that reality, without inflating rates by copying what is charged abroad nor giving away serious work.

The site itself as a case: editorial transparency

It is worth being explicit about how we apply AEO to this very site, because internal consistency is the best proof of the service. It is not marketing: it is public verification that what we recommend we apply.

On technical configuration: we explicitly allow OAI-SearchBot, ChatGPT-User, PerplexityBot and Google-Extended. GPTBot too, after evaluating cost and benefit for our case. On structured data: every page has its corresponding schema, the FAQs carry FAQPage schema, the blog articles carry Article with author, the organization has global Organization schema, the navigation carries BreadcrumbList on all pages. Any schema inspector confirms the correct markup.

On content: the main pages —services, industries, local coverage— are written in direct-answer format that engines extract. Each section answers a concrete question. The FAQs are real questions we receive, written to be extractable as autonomous blocks. The blog publishes articles with verifiable data and clear opinion about the Panamanian sector, deliberately avoiding the filler that gives away auto-generated content. We built a free tool anyone can use to verify that our own content passes the filter we apply to clients.

On measurement: we keep an internal battery of Panamanian prompts about web design, SEO, AEO and related services that we repeat on ChatGPT, Perplexity and Gemini every four weeks. We archive the results as an internal reference. As a relatively new site, we have not yet reached the critical mass of a site with several years of authority, but we already appear on Perplexity for several specific prompts about AEO in Panama, and the frequency grows each month we repeat the measurement. That is what is to be expected for a new site applying the method with discipline.

What we do NOT promise: the service's honest limits

There are three things that deserve to be explicit to avoid expectations no serious provider should create.

We do not promise specific positions or guaranteed citation frequencies. AI engines decide what to cite in real time based on variables no provider controls. What we do commit to is methodical work on the layers that increase the probability, honest measurement of what happens, and informed adjustments based on the results. The promise that "your brand will always appear in ChatGPT" is a scam or ignorance.

We do not promise immediate results. AEO done well pays off cumulatively: the first months build the base, the next ones generate sporadic mentions, the consolidation of consistent citations happens between the second and sixth month. Companies that want ROI in 30 days are not the right client for this service; the one looking to position durably is.

We do not promise aggressive media coverage. Building external presence (layer six) is patient and selective. We identify legitimate mention opportunities and work them with editorial honesty. We do not buy mentions, we do not use fraudulent PR networks, we do not inflate profiles with techniques that age badly. That means external presence grows more slowly than with aggressive tactics, but it grows durably.

How to start

The most sensible way to start is with the one-time USD 800 audit. It is concrete work with a clear deliverable and no subsequent commitment. After reading the report you will know exactly where you stand, how much work there is to do, and whether it makes sense to continue with a retainer. You make that decision with information, not with a sales pitch.

If you already have clarity about the site and want to start directly on a retainer, that is also possible: it includes the initial audit at no extra cost and starts implementation from week one. The first conversation is always free, lasts between 30 and 45 minutes, and serves for you to decide with information which is the right route for your case, with no sales pressure and no commitment beyond that first exchange of information about your project, your real commercial goals and the current situation of your sector within today's Panamanian digital market.