Winning search and AI answers comes down to two things: enough authority that they trust your domain, and the right topics and spaces to hold. Assay builds both, from first awareness to the deal, and keeps every page true and improving on live data.
Search, from first principles
Strip away the tools and the tricks. Search and AI answers reward the domain they trust most on the ground that matters most.
Search and AI answers weigh who else vouches for you, how deep your proof runs, and how consistent your claims are across every page. Assay builds that trust on purpose: sourced claims, connected topics, and a domain that never contradicts itself.
Not every topic is worth winning. Assay maps the questions your buyers ask from first curiosity to final comparison, weighs where you can honestly win, and claims that ground first. Traffic where it builds the brand. Answers where they turn into pipeline.
Living
An AI answer does not hedge. It states your old number with full confidence, to a buyer who never visits your site to check. And a domain that contradicts itself is a domain search learns not to trust.
So Assay re-checks approved pages on the cadence you set. When proof changes or a page stops helping, it prepares the fix across every page that carries the claim, then checks what search and AI can see.
Where to win
Assay maps the whole territory, then weighs each piece of ground: the buyer's stage, your proof, the live answer, and the work needed to beat it. Awareness topics build the brand. Decision questions build pipeline. Both get claimed on purpose.
Wrong buyer. Weak product fit. No honest path to win.
HoldHow the loop runs
Authority and territory are not one-time wins. They compound or they decay. Assay runs the three moves that keep them compounding. Your team chooses the ground and the hard bet.
Your control
Start strict. Let routine work graduate when you trust it. Assay never gives itself new rights.
Checks, plans, drafts, refreshes, and applies pre-approved low-risk changes inside the limits you set.
Hard or high-risk changes still wait for you. Each change class graduates only once it is certified for your workspace.The routine work keeps moving. Every live change arrives ready for one clear decision.
Assay finds, explains, and prepares the work. Your team publishes it.
Publish where you want
The loop stays the same. You choose where the work lives.
Assay prepares the exact change, writes through the destination you connect, and checks the public result.
Host approved pages on a fast, branded answer site with clear release receipts, health checks, and rollback.
Who owns what
Controlled pilot
The governed core is available in controlled pilot. Workspace-specific providers and publishing destinations require current certification evidence before production use.
Each item below is disclosed from the dated product evidence manifest and currently rests on local candidate evidence, not production certification. Staged work is listed separately in the manifest rather than implied here.
Bounded answer, citation, competitor, and uncertainty evidence across six supported targets; live availability remains workspace-specific.
Google Search Console evidence preserves query, page, date, country, and device through replay-safe page checkpoints, atomic snapshot promotion, and explicit 50,000-row, provider-call, duration, and connection limits; Google's top-rows limitation remains disclosed.
A bounded query-page/site/partial-entity graph surfaces cannibalization, decay, unmatched demand, merge/redirect, and internal-link decisions for human review.
Draft claims remain bound to approved Truth Graph sources and validation evidence instead of unsupported model prose.
Publishing remains a separately authorized, current-state-revalidated decision; automation cannot silently remove the approval gate.
Rehearsal, publish, archive, and reconciliation bind the exact validated destination and use durable receipts.
Durable background functions can sense, plan, generate, verify, and recover within enabled workspace flags and budgets.
Declared mutation and read capabilities map into the native, Copilot, and MCP capability plane with canonical permissions, feature flags, authoritative plans, bounded reads, and six-field effect disclosures; credential entry remains deliberately human-only.
A bounded public-homepage inspection proposes evidence-linked setup facts behind one explicit owner/admin confirmation and performs no paid check or publish.
New experiments freeze prompt-cluster exposure, isolate arm budgets, and require immutable unit outcomes before adaptive eligibility; legacy correlated evidence stays ineligible.
Sample evidence distinguishes provider answer APIs, SERP APIs, consumer UI observations, test fixtures, and unknown legacy rows without exposing raw provider metadata.
Generation chooses one of seven typed strategies before provider work, then requires deterministic strategy binding, evidence, structure, schema, capability, and approval checks. Tool and localization outputs remain implementation or language-review briefs, never publish-ready claims.
One authoritative plan composes a bounded site-twin refresh, crawler diagnostic, and paid answer check; a tenant-scoped catalog preserves exact phase, artifact, operation, partial-state, and recovery receipts across native UI, Copilot, and MCP.
Sweep, generation, and cycle workers share a serialized monthly credit budget, concurrency semaphore, failure stop loss, checkpoint receipts, and cooperative running cancellation at safe boundaries.
Seven closed product-receipt classes compile into bounded deterministic sweep/cycle DAGs with immutable plan history, producer coverage, dispatch-unknown truth, stable child identities, and one explicitly confirmed recovery replay that never authorizes publication.
A retained query, page, date, country, and device cell can be reviewed, rejected, or promoted into one tracked buyer question with immutable source fingerprint, current-state revalidation, bounded safe readback, and no provider or generation spend.
Bounded caller corpus and persisted answer-engine fan-out are scored into exact reviewable question proposals behind an actor-bound stored plan; raw corpus and fan-out remain outside public previews.
These are built or partly built but not production certified. They are listed here so the boundary is visible on the page rather than only discoverable in a contract.
Dated live provider, CMS, alert/SLO, retention, and causal-canary certification is still required per workspace.
Rendered DOM, hreflang, crawl logs, backlinks/authority, full entity coverage, and governed graph execution remain staged.
Qualified traffic, conversion, pipeline, revenue, brand, and confidence-adjusted ROI are not yet the learning objective.
The closed event-to-DAG substrate, source producers, immutable history, and confirmed recovery replay are shipped. Rolling runtime windows, richer portfolio alerting, and provider-native interruption of already in-flight calls remain staged.
