AUREVA · PRODUCT BUILD · v1.3

Eight agents that take a client from onboarding to AI citations — and never stop.

A working build of the full agentic SEO/GEO pipeline: baseline audit, research, briefing, writing, quality gating, hidden-post publishing with a symmetry gate, citation and whitespace monitoring, and continuous optimization — now with an authenticated multi-tenant app, a baseline AI-visibility screen, and a client portal. Human oversight at the points that matter, a full audit trail per client, and every metric anchored to a baseline frozen at onboarding.

Open the interactive demo → The visibility screen

The metric that matters: are you in the answer?v1.3

Two client-facing numbers, tracked across five AI engines, three runs per prompt per week, against a baseline frozen the day the engagement starts.

Client-facing
Visibility
Share of tracked prompts where the brand appears in the answer.
Client-facing
Link Rate
Share of those appearances that link back to the site.
Client-facing
Share of Voice
Brand appearances vs the whole competitor set, per engine.
Engines
5 tracked
ChatGPT · Gemini · Perplexity · Google AI Overview · Claude.

The baseline visibility screen is the sales instrument: a prompt-level table showing, for every prompt and every engine, whether the brand appears, whether it links, its position in the answer — and when it is absent, who appears instead (a competitor, or nobody at all). Plus a competitor heatmap, the frozen search-baseline, and a technical-health readout. Run-based mention/citation rates stay internal, for volatility tracking only — the client never sees two things called "citation rate".

The pipeline

0 · Baselinefrozen at onboarding 1 · Researchopportunities ⏸ specialist approves plan 2 · Briefper-article specs 3 · WriterGEO-ready drafts 4 · Qualityscore & gate ⏸ optional client review 5 · Publishsymmetry gate · hidden post 6 · Monitorvisibility · decay ⏸ specialist approves report 7 · Optimizefix & refresh

Optimize feeds newly discovered content gaps and citation-whitespace queries back to Research — the loop runs monthly, indefinitely. Below-threshold drafts bounce between Quality and Writer up to a configurable number of attempts, then escalate to a human. Articles publish as hidden posts — live URLs discoverable only via the clustered sitemap and llms.txt — until they cross a traffic threshold and the client chooses to make them publicly visible. Every action lands in the per-client audit log.

What each agent does

AGENT 0 · FROZEN BASELINE

Baseline audit

Runs once at onboarding and is frozen forever — every re-crawl becomes a dated current-state snapshot compared against it, so the before/after story never drifts. Scores existing pages for citability, flags JS-rendered and orphaned content, scans for contradictions, captures the traditional-search baseline (GSC), and records who each engine cites today per query. Audits robots.txt across the six required AI crawlers.

AGENT 1

Research

Keyword expansion, conversational long-tail discovery, competitor gap analysis, AI-intent mapping and a hub-and-spoke topical map. Long-tail first is enforced; citation-whitespace queries get a priority bonus. Also generates the client's prompt set (40–100 intent-grouped prompts, funnel-staged) for tracking. Output: a prioritized monthly content plan (8–12 articles).

AGENT 2

Brief

One brief per planned article: target keywords with fan-out queries, word count, heading structure, internal link targets tagged by cluster (spokes → pillar, pillar → spokes), schema type, competing URLs and a Unique Information Delta directive.

AGENT 3

Writer

Long-form drafts built for citation: a direct answer in the first 150 words, named entities, sourced facts, a mandatory FAQ, JSON-LD schema, 2,000+ words — and semantic relationship links: every internal link carries a conceptual bridge. Produces native Dutch or English; regulated clients get a mandatory compliance disclaimer. Rewrites target the exact criteria Quality failed.

AGENT 4

Quality

Scores every draft 0–100 against the Signal Clarity rubric v2 below (weights configurable per client). Bare links are a hard fail; regulated clients get a hard compliance check. Runs a contradiction check against the live corpus — severe conflicts block the draft. Still failing after max attempts → escalated with one-click resolution.

AGENT 5

Publish

Verifies robots.txt allows all six AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Googlebot, Gemini-Bot, Bingbot), enforces the symmetry gate (JSON-LD must exactly match the rendered page), publishes as a hidden post, requires a plugin webhook confirmation, verifies the live page renders as static HTML, regenerates the clustered sitemap + llms.txt, pings IndexNow and Search Console.

AGENT 6

Monitor

Weekly rankings, GA4 traffic, AI-bot crawls and per-engine appearance across all five engines — the client-facing Visibility and Link Rate scorecard, query ownership and whitespace, hidden-post traffic thresholds, and the decay watchlist: pages scored 0–100 for health, flagged only after two consecutive low reports.

AGENT 7

Optimize

Rewrites intros, extends FAQs, reinforces internal links and refreshes facts on flagged pages, republishes them, and feeds new content gaps and whitespace queries back to Research — closing the loop.

CROSS-CUTTING

Orchestration

Structured JSON handoffs with PASS / FAIL / NEEDS_REVIEW / ESCALATE_TO_HUMAN statuses, independently triggerable stages, configurable thresholds per client, multi-client state and a central audit log.

The product layerv1.2 + v1.3

ONBOARDING

Brand profile gate

Deep intake — company description, tone, brand rules, target audiences, NL/EN, regulated-industry flag — drafted into a brand profile alongside a site crawl. Nothing is written until a specialist approves it.

PROMPT SETS

What we track, agreed up front

40–100 intent-grouped, funnel-staged prompts generated from the profile, specialist-approved, then shown read-only to the client — so they catch missing product lines before tracking starts.

WEEKLY REPORT

Volatility-aware, shareable

Every prompt checked three times per engine; Visibility, Link Rate and Share of Voice with a 4-week rolling average against the frozen baseline. A token-gated, printable web report — with an anonymised demo mode for sales calls.

CLIENT PORTAL

Scoped, read-only

A per-client dashboard behind its own link: the Visibility scorecard, content inventory, the latest report, and exactly two client decisions — approve/revise/reject drafts, and make a hidden post visible. It can never reach another client's data.

AUTH + WHITE-LABEL

Multi-tenant shell

The operator console sits behind a staff session; the client portal and web report carry their own scoped tokens. Brand identity is one config object — white-label ready.

DECAY WATCHLIST

Refresh, before the drop

Each published page scored 0–100 on citation status, ranking, traffic, age, factual staleness and competitive displacement — queued for the next refresh cycle only after two consecutive low reports. Nothing acts on a single observation.

The Signal Clarity scoring rubric (v2)

What makes content citable by AI engines — every article is scored before it can go live. Weights are configurable per client.

CriterionPointsCheck
Direct answer format10Clear answer to the query within the first 150 words
Entity density10≥ 8 named and defined entities
Fact density10≥ 5 verifiable statistics with named sources
FAQ section10Mandatory — ≥ 3 likely follow-up questions with direct answers
Structured answers10Q&A blocks, numbered lists, definition blocks
Schema readiness10Article/BlogPosting + FAQPage + Author JSON-LD
Unique Information Delta10An angle competitors are not covering
Word count10≥ 2,000 words of expert-level content
Semantic relationship links10Every internal link explains how the two pieces relate (hard requirement)
Topical coherence10Article belongs to a cluster and links stay inside it

DOM ↔ JSON-LD parity is enforced separately by the Publish symmetry gate — a mismatch holds the article back before it ever goes live.

Human oversight, by design

Three gates keep specialists in control without slowing the machine down: the brand profile and the content plan require specialist approval before production starts; drafts can require client review before publishing (configurable per client, now surfaced in the client portal); the performance report requires specialist sign-off before optimization runs. Anything the agents can't resolve raises an ESCALATE_TO_HUMAN into the escalation queue.

The WordPress plugin interface

The client-facing dashboard connects over a small authenticated REST API (per-client x-api-key). The operator console runs behind a staff session; the client portal and web report carry their own scoped tokens:

GET  /api/plugin/published            → published content metadata (URL, title, schema, visibility)
GET  /api/plugin/performance          → rankings, per-engine citations, traffic, whitespace, baseline
GET  /api/plugin/prompt-set           → the approved prompt set, read-only for the client
GET  /api/plugin/notifications        → pending traffic-threshold notifications for the client
POST /api/plugin/settings             → client settings push (keywords, niche, competitors, voice)
POST /api/plugin/content-decision     → client approvals (approved / rejected / revision requested)
POST /api/plugin/visibility-decision  → make a hidden post publicly visible, or keep it hidden
POST /api/plugin/publish-confirmation → webhook: the plugin confirms a post is live

About this build

The engine, orchestration, gates, scoring, auth, portal and APIs are fully implemented and covered by an automated end-to-end test suite. Every external service (Google Ads, DataForSEO, Search Console, GA4, Ahrefs, WordPress REST, IndexNow, the writing LLM, and per-engine citation checks) sits behind an adapter interface with deterministic mocks, so the whole system runs — and can be demoed — without credentials. Swapping a mock for a live integration is a one-file change per service.

The interactive demo runs the real agents entirely in your browser: onboard a client, run each stage, approve plans, watch the quality retry loop, publish, open the baseline visibility screen, see a citation drop get flagged and optimized, and read the shareable weekly report. Nothing leaves the page.