Be the sourceAI engines actually cite.
Answer Engine Optimization (AEO) is the discipline of making every article structurally fit to be quoted inside an AI answer. SEORav writes in your real brand voice, scores every draft against 22 deterministic signals, and ships only the articles that pass — so ChatGPT, Perplexity, Claude, and Gemini have a reason to cite you instead of the competitor below you on Google.
Rankings used to win clicks. Now citations win the answer.
AEO — Answer Engine Optimization — is the discipline of writing pages that AI engines select and quote when synthesising an answer. It is the successor to classic SEO for any query that terminates inside ChatGPT, Perplexity, Claude, or Gemini — which in 2026 is a meaningful share of every high-intent search.
An AEO-fit page reads differently from a classic SEO page. The first 80 words define the topic concretely. Headings are question-shaped. JSON-LD schema mirrors visible HTML one-to-one. External citations look like a real reference graph. Brand mentions are restrained. Distinctive claims with specific numbers beat hedged generalities every time.
Most "AI writer" tools ignore all of this — they emit at-volume text that ranks in a generous quarter and gets ignored by every LLM. SEORav exists because the work of making content cite-able at every cadence, across every cluster, is hard to do by hand.
Generic AI output is not cite-able
No distinctive claims, no specific numbers, no authority chains. AI engines see it as low-value and pass over it.
Schema and visible HTML must match
JSON-LD that claims an FAQ when the body has none is downranked. SEORav verifies the two agree before publish.
Answer-first openings beat funnel intros
LLMs extract from the first 30% of the page. Hooks and throat-clearing kill citation odds.
Brand mentions need a cap
Mention yourself 17 times in 1,800 words and you read as promotional, not authoritative. Two mentions max is the working ceiling.
Four parts. One workflow.
Every article you ship moves through the same four-part loop. Each part is measurable, auditable, and exposed in the dashboard — no black-box "AI magic," just deterministic checkpoints from keyword to live URL.
Ready-to-publish, in your voice
Paste a keyword, get a 1,500–2,000 word article structured for AI engines. Answer-first openings. Schema attached. Citations to real authority sources. No generic listicles, no throat-clearing intros, no AI-default cadence.
One article into many formats
Every published article can be turned into a LinkedIn post, an email digest, a tweet thread, or a standalone FAQ / answer-engine page — without re-writing from scratch and without losing your voice.
Sounds like you, not like AI
SEORav reads your existing pages and builds a voice fingerprint — sentence length, paragraph rhythm, signature phrases, what you avoid. New articles inherit it. Drift outside the brand baseline fails the gate before review.
Score every draft before it ships
Each article runs through 22 deterministic signals across four families — answer-first, schema integrity, authority graph, voice + safety. Pure Python, same input same score every time. Drafts scoring under 75 don't reach your reviewer queue. The bad ones never waste your time.
From keyword to citable.
Six checkpoints.
Each step is a discrete stage of the pipeline. State is persisted at every checkpoint, so a crash mid-run resumes instead of starting over — and you can inspect what happened at any stage from the dashboard.
Outline
SERP data, competitor coverage, and your existing pages produce an H2 spine, an FAQ stub aimed at AEO surfaces, and a target read time.
Research
Retrieval over your site + curated authority sources gives every section real evidence. Citations link back to the original URL — no hallucinated paraphrases.
Draft
Each H2 is drafted with the answer in the first 30% of the section. Brand voice samples are passed in-context so prose reads like you, not like a default model.
Optimize
Compression, opener rewrites, internal-link insertion against an allow-list. Hallucinated internal links get stripped here so you never ship a 404.
AEO layer
Schema generated and verified against visible HTML — FAQ, HowTo, Speakable, BlogPosting, BreadcrumbList. Hero image, meta_title, meta_description bounds-checked.
Quality gate
Deterministic 22-signal evaluation. Pass scores under 75 are blocked. Pass scores at 75+ ship to your CMS with full provenance recorded.
Same keyword. Same model.
One ships. One doesn't.
Two drafts on "best CRM for early-stage startups," generated by the same pipeline at the same temperature. The 22-signal gate catches the difference before either reaches your reviewer queue.
"Best CRM for early-stage startups"
"In this comprehensive guide, we'll dive deep into the world of CRM software for startups. Let's explore the top options and discover what makes them great…"
- Generic opening — fails answer-first signal (no definitional sentence in first 80 words)
- 11 brand mentions in body — hard-gate fail
- 2 external citations, both to the same publisher
- FAQ section claimed in schema; body has no Q/A pairs (schema ↔ HTML mismatch)
- Reading grade 14.2 — drifted >2 grades above brand baseline
- No specific numbers, no distinctive claims, no decision criteria
"Best CRM for early-stage startups"
"For startups under 20 employees, three CRMs reliably balance price against feature ceiling: HubSpot Free, Attio, and Folk. The right pick depends on whether your team works in email threads, a Slack-style feed, or a structured pipeline."
- 72-word answer-first opening with three concrete named entities
- 1 brand mention in body, 1 in CTA — within cap
- 5 external citations across diverse sources (HBR, First Round, Y Combinator, Stripe Atlas, OpenView)
- FAQ + BlogPosting + Breadcrumb schema attached, all verified against rendered HTML
- Reading grade 10.3 — within ±2 of brand baseline
- Specific numbers ("under 20 employees", "three CRMs", "$0–$30/seat") — high quote-fitness
Same article. Different yardstick.
AEO doesn't replace classic SEO — it changes which signals carry weight. The eight changes below decide whether your page wins a citation, not just a rank.
AEO, answered.
How is AEO different from GEO?
AEO is the writing side — make every article structurally fit to be quoted. GEO is the tracking side — monitor which prompts cite you across ChatGPT, Perplexity, Claude, and Gemini, see your gaps, and decide what to ship next. SEORav ships both inside the same workspace so input quality and output measurement reconcile.
Will the output sound like every other AI article?
No — because we don’t let a generic model write at default temperature against a one-line prompt. The pipeline learns your voice from your existing pages, drafts each section with voice samples in context, and gates drafts on a voice-drift signal. Output that reads like ChatGPT-default gets rejected before review.
How long until I show up in AI citations?
For a healthy site already getting some Google traffic, the first measurable lift typically lands within 2–4 weeks of shipping a handful of properly-structured articles. Citation share scales with corpus depth — the more articles you have that pass the gate, the more often you appear across clusters.
Do you actually verify the schema is correct?
Yes. Schema is generated and then validated against the visible HTML before publish. If the body claims an FAQ section but no Q/A pairs render, the gate fails. After publish we re-fetch the live URL and re-check on a 6-hour cadence — most “AI SEO” tools never do this and most published schema is broken in production.
Which CMSes can you publish to?
WordPress, Webflow, Ghost, HubSpot, Shopify, Wix, Framer, and a generic webhook for everything else. Each adapter ships the body HTML, verified schema, hero image, meta_title / meta_description, and a canonical that matches your live URL. See /integrations.
Is there a cap on how many articles I can ship?
Plan-dependent. The cap exists to keep the scorecard honest — shipping 200 articles in a week through one template tells AI engines you’re running a content farm. We pace generation so the corpus reads as authored, not extruded.
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