Answer Engine Optimization22-signal scorecardBrand-voice lockedCited by ChatGPT · Perplexity · Claude · GeminiAnswer Engine Optimization22-signal scorecardBrand-voice lockedCited by ChatGPT · Perplexity · Claude · Gemini
AEO platform · Built for 2026 search

Be the sourceAI engines actually cite.

Answer Engine Optimization (AEO) makes 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.

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AEO · the article engine

Plan → generate → auto-publish.

Watch it run in the real dashboard: no blank page, no copy-paste. Pause or jump to any step to replay it.

app.seorav.com/calendar
northwind.io✦ ALIVEV
Content calendar
June 2026 · your plan is already allocated, pick one and generate
June 202630 articles this cycle · 4 this week
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How to reduce customer churn
reduce customer churn · vol 2,400 · KD 34
Auto-publish
Step 1 of 4

Your calendar already planned and allocated these. Pick one off the grid, no blank page.

22
Signals scored per article
4 families · deterministic · auditable
75+
Score required to ship
Below threshold = blocked from review queue
1500–2000
Words per article
The band AI engines actually extract from
~5min
Keyword → publishable draft
Outline · research · draft · optimize · score · gate
Optimized for the four AI engines that decide citations in 2026
ChatGPTPerplexityClaudeGemini
The 22-signal scorecard

Not an opinion. A score.

Every draft runs through 22 deterministic signals across four families. Pure Python, so the same input gives the same score every time. Green ships, and anything under 75 is held back before it ever reaches you.

7

Classic SEO

canonicalmeta descriptionword countinternal linksexternal linksreading leveldate modified
8

Answer engine

answer-first openingquestion H2sFAQ schemaArticle schemabreadcrumbHowTo schemaspeakablellms.txt
4

Authority

external citationsnamed entitieshero imagestructured content
3

Brand & intent

brand-mention capvoice driftinformational intent
90+ ships green75–89 goes to reviewunder 75 regenerates
Brand voice

It sounds like you. Not like AI.

Before it writes a word, SEORav reads 30 to 50 of your real pages and builds a voice fingerprint. Every article inherits it, and any draft that drifts too far fails the gate.

READS

30–50 of your pages

Reading grade, sentence length, paragraph rhythm, the phrases you lean on and the ones you avoid.

APPLIES

To every article

The fingerprint goes into every draft, so thirty articles read like one writer instead of thirty prompts.

GUARDS

Against drift

A draft that wanders past two reading grades from your baseline fails the gate before you ever see it.

What the gate catches

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.

Fails gate · 58/100 · RED

"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
Ships green · 91/100

"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
AEO vs traditional SEO

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.

What changes
Traditional SEO
SEORav AEO
Goal
Rank in the SERP
Be cited inside an AI answer
First 80 words
Intro + hook
Definitional, citable answer
Headlines
Keyword-stuffed
Question-shaped, scannable
Schema
Often missing or mismatched
Verified against visible HTML
Outbound citations
Treated as a leak
Proof you read the field
Brand mentions
Unlimited
Capped, feels natural
Internal links
Anchor-text stuffed
Allow-list checked, no 404s
Success metric
Position 1–10 on Google
Citation share across 4 engines
The questions we get most often

AEO, answered.

How is AEO different from GEO?

AEO is the writing side. It makes every article structurally fit to be quoted. GEO is the tracking side. It monitors which prompts cite you across ChatGPT, Perplexity, Claude, and Gemini, shows your gaps, and tells you 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. 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 keeps 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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