When buyers ask AI,be the answer it cites.

Answer engine optimization is the practice of getting your business cited and recommended inside AI answers — ChatGPT, Perplexity, Claude, Copilot, and Google AI Overviews — instead of (or alongside) the traditional list of blue links. Classic SEO optimizes for rankings; AEO optimizes for being the answer. The levers are different: answer-first content that resolves the question in the opening paragraph, clean structured data, llms.txt, visible freshness, and the third-party footprint (reviews, directories, press) that AI engines treat as corroboration.

SEO (search engine optimization) targets ranked results in traditional search. AEO (answer engine optimization) targets the single synthesized answer — featured snippets, voice results, and AI answers. GEO (generative engine optimization) is the newer term for the same goal aimed specifically at generative AI engines like ChatGPT and Perplexity. In practice AEO and GEO overlap almost completely, and good AEO work builds on solid SEO foundations — we deliver all three together rather than selling them as separate products.

Yes. Blackbyrds Digital is a Cavite-based software studio offering answer engine optimization for Philippine businesses and international clients served remotely. What makes us different from marketing-only AEO providers is that we are engineers first: the technical half of AEO — schema markup, structured data, llms.txt, site architecture, crawlability — is code, and we ship it ourselves on the sites we build and maintain. We also run the same playbook on our own site.

We deliver AEO through our marketing retainer: ₱45,000–₱150,000 per month depending on scope, media spend separate, month-to-month after an initial three-month commitment. Pricing is published on our pricing page and you get a fixed written quote before committing. One-off technical implementations (schema, llms.txt, answer-first restructuring) for sites we did not build are quoted per project after an audit.

Compare five things and ask for each in writing: published pricing, or at least a written range before the discovery call; who actually ships the technical layer, meaning in-house engineers versus recommendations handed to your developers; how results are measured, where a recorded baseline of real AI answers beats a proprietary visibility score; contract length and exit terms; and whether the provider runs the playbook on its own site. That last one is free to check — open the source of their site and look for a structured-data graph and an llms.txt file. Three kinds of provider compete for this work in the Philippines: marketing-only AEO agencies, AI-visibility SaaS tools, and software studios that ship code. Which one fits depends on whether you already have developers who can implement.

The levers with real evidence behind them: answer-first content that resolves the question in the first paragraph, original data and specific numbers worth quoting, visible freshness (updated dates that are actually true), clean structured data, llms.txt, and third-party corroboration — reviews, directories, Reddit, and press that mention you independently. We implement the on-site half directly and build the off-site half with you month by month.

No — and you should be skeptical of any agency that guarantees it. AI engines do not sell placement, their behavior shifts with every model update, and answers vary by phrasing and user context. What we commit to instead: a measurable baseline (what each engine says about you today), the full on-site implementation, a documented off-site roadmap, and monthly spot checks against the queries that matter to you — so you can see movement or the lack of it, and hold us to the evidence.

Expect a quarter before drawing conclusions. Technical fixes (schema, llms.txt, answer-first restructuring) ship in the first weeks, but AI engines refresh their sources on their own schedules, and the off-site footprint — directories, reviews, third-party mentions — compounds over months. This is why our retainers run month-to-month only after an initial three-month commitment: less than a quarter is not enough signal to judge the work.

A baseline audit first: for an agreed set of buying-intent queries, we record what ChatGPT, Perplexity, Claude, and Google AI Overviews answer today — whether you appear, how you are described, and who is recommended instead. Then monthly re-checks against the same query set, alongside referral traffic from AI surfaces and assisted conversions where analytics can attribute them. You see the raw answers, not a vanity score.

Because half of AEO is engineering. Schema markup, structured data graphs, llms.txt, crawlable rendering, and site performance live in the codebase — an agency that cannot ship code has to file tickets with your developers and wait. We build and maintain sites for a living, so the technical layer ships as code we write, and the content layer is edited by humans with named authors. Strategy, content, and implementation under one roof since 2017.

Yes. We have served US, Australian, European, and Hong Kong clients remotely since 2017. AEO work is location-independent — the engines are global — and our processes are async-first with overlap hours for US mornings. We are transparent about being a Philippine studio, which is also why our pricing undercuts comparable US retainers.