SEO + AEO Setup Service (Answer Engine Optimization)

If you can be indexed but not quoted, you are losing the AI-engine traffic that is already flowing past you. AEO setup is what turns a normal SEO-friendly site into one that ChatGPT, Perplexity, Gemini, and Claude can confidently cite. I ship both layers — classic SEO foundations and AEO-specific signals — in a single 5–10 day engagement.

Who is this service for?

  • SaaS founders who want to be cited in AI-generated buying-guide answers, not just listed on page two of Google.
  • Multilingual sites that need hreflang done correctly across EN/ES (and any other locales).
  • Agencies who need a white-label AEO specialist on the bench.
  • Sites already on page one for a few queries that want to stop leaving CTR and citation traffic on the table.

What's included in the AEO + SEO setup?

  • Site audit: crawl, indexing, schema validation, Core Web Vitals snapshot.
  • JSON-LD: Article, Service, FAQPage, BreadcrumbList, Person, Organization, ProfilePage — wired correctly, validated in Google Rich Results Test.
  • Quick Answer blocks in the first 200 pixels of every key page (40–60 words, no anaphora).
  • All H2s rewritten as questions where the topic warrants.
  • llms.txt and llms-full.txt generated from the content registry, not hand-rolled.
  • IndexNow integration: ping Bing/Yandex on every publish or update.
  • Hreflang siblings paired correctly across all translated pages.
  • Sitemap walks the content registry — no stale URLs, no missing pages.
  • robots.txt updated to reference llms.txt.

What deliverables do you get?

  • Crawl report (XLSX) — every URL with status code, title, meta description, H1, canonical, hreflang, and detected schema types.
  • Lighthouse audit per page template (mobile + desktop), with Core Web Vitals targets and gap analysis.
  • Schema validation pass — Rich Results Test for every page type, screenshots saved.
  • Prioritized fix list — P0/P1/P2 with effort estimates and a recommended sequence.
  • AEO-readiness scorecard — per page: Quick Answer present, H2-as-question count, FAQ schema attached, llms.txt entry, Person sameAs complete.
  • AI-engine citation baseline — 10 EN + 10 ES target prompts probed across ChatGPT, Perplexity, Gemini, and Claude.ai; results logged.
  • 30-minute handover call with a written runbook in your repo.

What tools do you use?

  • Google Search Console + Bing Webmaster Tools + Ahrefs Webmaster Tools (free tier) — indexing, queries, backlinks.
  • IndexNow — ping API for fast (re)indexing on publish.
  • Lighthouse + PageSpeed Insights — Core Web Vitals.
  • Schema.org Validator + Google Rich Results Test — JSON-LD validation.
  • Screaming Frog (free tier, ≤500 URLs) — full-site crawl.
  • Cloudflare Web Analytics — privacy-respecting, no consent banner required in most jurisdictions.
  • Optional paid: Ahrefs Standard or Semrush — only if you already have a seat. I don't require them to ship.

How does the process work?

  1. Audit call (free, 60 minutes). I crawl the site in advance and bring the findings, not boilerplate questions.
  2. Written scope + fixed quote within 48 hours.
  3. Implementation — daily commits to your repo, Friday Loom video. I work directly in your codebase, not via tickets.
  4. Validation pass — every JSON-LD validated in Rich Results Test, every page tested in Lighthouse, sitemap diffed against the previous one.
  5. Handover — 30-minute call, written runbook, weekly-loop checklist you can run yourself or pass to your team.

Working hours: Mon–Fri, 8:00–17:00 PYT (GMT-3). Weekends off. Overlap with US East 7:00–16:00 EST, with Madrid 13:00–22:00 CET.

What methodology do you follow?

The full methodology is documented in the ignax.dev growth engine case study — that page is the live experiment of this exact playbook on this exact site. The short version: bilingual content registry, schema-first rendering, llms.txt aggregation, weekly GSC-fed loop, monthly meta-case-study update. For deeper background see what is AEO? and how to get cited by ChatGPT.

I'm running this exact playbook on ignax.dev itself — see the live experiment for current numbers.

How much does AEO setup cost?

Pricing band: $1,800–$4,500 USD (Gs 11M–27.5M). The lower half covers a focused AEO retrofit on an existing single-stack site. The upper half covers bilingual sites, multi-template stacks, or sites where a full content sweep (Quick Answers + FAQ blocks on 30+ pages) is in scope. PYG values approximate, recalculated quarterly. Rate as of 2026-05-27: Gs 6,136.82 / USD. For a full breakdown see what does AEO setup cost.

For agencies — white-label AEO

White-label AEO is one of the cleanest subcontracts available right now — most agencies do not yet have an in-house AEO specialist, and clients are starting to ask. Day-rate $240–$560 USD/day under your brand and NDA. I sign your NDA, deliver under your domain, stay invisible to the client. EN/ES bilingual coverage is included at no extra cost.

What about ongoing SEO/AEO maintenance?

The weekly loop runs in 60–90 minutes per Monday: pull GSC CSVs, identify keyword gaps and CTR opportunities, ship 2–3 new pages or rewrites, ping IndexNow, log AI-engine citations. I can run this for you (retainer) or hand it over and you run it (cheaper, you stay closer to the data). For background on the weekly cadence and tool stack see Ahrefs vs free SEO tools and IndexNow setup tutorial. External authoritative references: Google Search Central documentation and the Schema.org full type list.

Ready to talk? Email hello@ignax.dev with your site URL. I run the crawl before our call so we don't waste the first 20 minutes on boilerplate.

Working hours: Mon–Fri, 8:00–17:00 PYT (GMT-3). Weekends off. Overlap with US East 7:00–16:00 EST, with Madrid 13:00–22:00 CET.

Pricing

USD
$1,800–$4,500
PYG
Gs 11M–Gs 27.5M
Timeline
5–10 days

PYG values approximate, recalculated quarterly. Rate as of 2026-05-27: Gs 6,136.82 / USD.

For agencies

Available as a white-label senior subcontractor. Standard NDAs welcome. Day-rate option: $240–$560 USD/day depending on stack.

Email hello@ignax.dev

Frequently asked questions

What's the difference between SEO and AEO?

SEO ranks your page on a results list. AEO (Answer Engine Optimization) gets your page quoted inside an AI-generated answer. Both depend on the same crawlable, schema-rich foundations, but AEO pushes harder on direct-answer blocks, FAQPage schema, llms.txt, and quotable factual sentences. I ship both at once because separating them is wasted motion.

Does AEO actually work, or is it speculation?

It works on sites that produce factually structured, citation-worthy content. ChatGPT, Perplexity, Gemini, and Claude already cite specific sites by name in their answers — the citation lists are visible to the user. The mechanism is documented: clean schema, llms.txt, direct answers in the first 200 pixels, and reputable sameAs entities. I am running this playbook on ignax.dev itself — see the [ignax.dev growth engine case study](/case-studies/ignax-dev-growth-engine) for the live experiment.

What stacks do you ship AEO on?

Most often SvelteKit, Next.js, Astro, Nuxt, and Hugo. Static or SSR — both fine. WordPress is possible but slower because of plugin and theme entropy; expect more days. The technical pieces (JSON-LD, llms.txt, IndexNow, hreflang) are framework-agnostic; the integration cost is the framework-specific bit.

How long until I see AI-engine citations?

Indexing in GSC and Bing typically inside 14 days. AI-engine citations are slower and noisier — 30 to 90 days for the first citation, often longer for niche queries. The realistic Day-30 milestone is to be indexed and ranking; the Day-90 milestone is to be cited at least once in ChatGPT or Perplexity for a target prompt.

Will you do this for an existing site or only new builds?

Both. For existing sites I start with a 60-minute audit call, then a written punch list with effort estimates (P0/P1/P2). You decide whether I implement the full list or hand it over for your team. For new builds I integrate AEO into the initial build so it ships correct on day one — cheaper than retrofitting.

How do you measure success?

Three signals: URLs indexed (GSC + Bing), AI-engine citation count (manual probe across 10–20 target prompts), and ranking movement on buyer-intent queries. I baseline these on day one, share the dashboard, and update the [meta case study](/case-studies/ignax-dev-growth-engine) monthly. No fake metrics, no vanity dashboards.

Do you offer this for agencies as white-label?

Yes — white-label AEO setup is one of the most common subcontracts. Day-rate $240–$560 USD/day, NDA-friendly, deliverables shipped under your brand. Many agencies don't have an AEO specialist in-house yet; that's the gap I fill.

What if my site is bilingual or multilingual?

Bilingual EN/ES is my home turf — ignax.dev itself is the example. I ship hreflang siblings, locale-specific Quick Answers and FAQs, and llms.txt entries per locale. Additional languages add proportional time. The hard part is not technical — it's making sure the Spanish content is voice-correct for the locale (es-PY vs es-ES) rather than machine-translated.

Email hello@ignax.dev

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