AI brand visibility with a control layer

AI is describing your company to your next customer. It’s getting it wrong.

See what ChatGPT, Claude, Gemini, and Perplexity say about you. Correct inaccurate claims with reviewed Brand Intelligence, publish it to crawlers at the edge, and measure what changes.

No credit card on Free · Human traffic remains unchanged

What buyers may hear before they reach your site.

ChatGPT said

“Pricing starts at $49 per month.”

Claude said

“The company was founded in 2019.”

Perplexity said

“Every plan includes phone support.”

Gemini said

“A free trial is available.”

ChatGPT said

“The headquarters are in San Francisco.”

Claude said

“API access requires an enterprise plan.”

Perplexity said

“The product does not support SSO.”

Gemini said

“Refunds are limited to seven days.”

ChatGPT said

“The company has around 40 employees.”

Claude said

“The platform is built only for agencies.”

Perplexity said

“The business raised a Series A in 2022.”

Gemini said

“Custom integrations cost extra.”

Examples are illustrative, not customer data.

Monitoring finds the gap. Ooky connects it to a reviewed change and a comparable recheck.

Three evidence layers.
One decision loop.

Know what is true, what models are saying, and what crawlers actually received without collapsing those signals into one vague score.

01 Define

Review the source of truth.

Crawl your site into global and per-page Brand Intelligence, then approve what is factual, incomplete, or unsafe to infer.

  • Global + page intelligence
  • Do-not-infer directives
  • Parity-gated publishing
02 Track

Measure the answer.

Run comparable prompts across models and the audiences that matter, then track visibility, sentiment, rankings, and claims over time.

  • Models + prompts
  • Personas + regions
  • Competitor benchmarks
03 Observe

See the crawl itself.

Capture first-party bot events at the edge, group them into sessions, and see which pages and intelligence artifacts crawlers received.

  • First-party bot events
  • Session intent
  • Page-level delivery logs
Measure the answer Review the evidence Publish a change Run a comparable recheck

Move from a bad answer
to a defensible next step.

Ooky keeps the evidence attached to the action. You can see why a change is being proposed, what was published, and what the next scan actually found.

01

Establish the baseline

Run the prompts that influence buying decisions and compare how supported models mention, rank, and describe your brand.

Model answers · sentiment · rankings
02

Resolve a contradiction

Trace an inaccurate claim back to reviewed Brand Intelligence before deciding whether the site or the intelligence needs to change.

Claim evidence · reviewed source
03

Publish a safer source

Compile page-specific distilled HTML and JSON-LD, apply the parity gate, and publish passing pages to the edge.

Page artifact · parity result · version
04

Recheck the outcome

Run a comparable scan after publishing and inspect what moved without presenting correlation as guaranteed causality.

Before/after answers · comparable prompt
Delivery options Connect the stack you already run.
SDKNode, Next.js, and Edge runtimes
WordPressWordPress and WooCommerce
Full DNSManaged Cloudflare edge delivery
Compare integrations →

Monitoring tells you there is a problem.
Ooky gives you a controlled next move.

Monitoring-only workflow

See the answer.

Useful visibility data, followed by a handoff to content, engineering, or an agency.

  • Track mentions
  • Benchmark competitors
  • Report sentiment
Workflow stops at the report
Ooky evidence loop

See it. Correct it. Recheck it.

Measurement, reviewed intelligence, edge delivery, and crawler evidence stay connected.

  • Compile reviewed intelligence
  • Deliver it to crawlers
  • Observe first-party sessions
  • Recheck after publishing
Next action stays attached to evidence

Category-level comparison of common workflows, not a claim that every product has identical capabilities.

Control the signal.
Preserve the truth.

Ooky does not create a secret marketing page for bots. It distills reviewed source content, checks it against the origin, and refuses to serve pages that fall outside the guardrails.

Origin pageVisible source text
Parity gateContainment + similarity
Edge artifactDistilled HTML + JSON-LD
  1. 01

    Containment gate

    Published output must retain at least 95% of the origin’s visible tokens.

  2. 02

    Page-level decision

    Every route is compiled and evaluated independently before it can be served.

  3. 03

    Origin fallback

    If a page fails its parity checks, the Worker serves the original page instead.

  4. Result

    Pass and publish, or fall back safely.

    No silent bypass. No request-time dependency on the control plane.

Your homepage is the model's best guess.
Until you change that.