AI search intelligence. A clear next move.

See where AI misses your brand.Know what to fix next.

Find the gaps in AI answers. Improve the pages behind them.
Measure what changes after you publish.

No card. No login. Free checks with Perplexity + Gemini.

BrightMetricsbrightmetrics.example
Sample workspace · Fictional data
Buyer question

“best customer analytics platform for PLG SaaS”

Same question. Every stage.
01 / Find · AI visibility audit

See where competitors show up. And you don’t.

Connect a missing citation to the exact question, engine, and source behind it.

Prompt × engine map

Brand citations / completed checks
Fictional audit results. The selected opportunity has zero brand citations in twelve completed checks. Mentioned means named without a source citation; no run is excluded.
Buyer promptPerplexityChatGPTClaudeGoogle AI Overviews
Selected opportunitybest customer analytics platform for PLG SaaSRival cited0 / 3Rival cited0 / 3Rival cited0 / 3Not cited0 / 3
how to measure SaaS activationCited3 / 3Cited2 / 3Mentioned0 / 3No run—
customer retention analytics toolsCited2 / 3Rival cited0 / 3Not cited0 / 3Not cited0 / 3

Sources behind this gap

Chartly Competing brandchartly.example/compare/plg-analytics
Metricpilot Competing brandmetricpilot.example/customer-analytics
Reviewboard Review sourcereviewboard.example/categories/product-analytics
Your next move

Build the page this buyer question needs.

No matching answer page in this example. Prepare a focused comparison answer, with product facts and supporting sources.

Four engines shown. A mention is not a citation; unavailable checks are not counted as misses.

02 / Fix · Fix Engine

A clear recommendation. The work to act on it.

Move from a missed question to a targeted answer, page brief, schema, and source plan.

Fix package

Ready for review

Answer block

Proposed opening answer

Customer analytics, built for product-led SaaS.

BrightMetrics is a customer analytics platform for product-led SaaS teams. Connect product events to customer accounts, measure onboarding and activation, and identify where retention drops. Use its account-level funnels to decide which journeys need attention.

A direct answer, specific capabilities, a clear buyer fit.

Page brief

Question-led page structure

Give buyers the details behind the answer.

  1. How does BrightMetrics measure activation?
  2. Which product events and accounts can it connect?
  3. How should SaaS teams compare analytics tools?

Support each section with verified product facts, examples, and an honest comparison.

Schema

JSON-LD draft

Keep the markup aligned with the page.

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "BrightMetrics",
  "applicationCategory": "BusinessApplication",
  "operatingSystem": "Web",
  "url": "https://brightmetrics.example/resources/customer-analytics-platform",
  "description": "Customer analytics for product-led SaaS teams."
}

Source plan

Evidence to prepare

Make every product claim checkable.

  • Confirm supported events and integrations in product documentation.
  • Add an account-level activation example with its method.
  • Review the competing comparison pages for missing buyer questions.

Cite sources that support the claim. A third-party listing is a separate editorial opportunity.

Review copy & facts → validate schema → publish

After your page is live, keep the question running.Connect the published change to its next observations.

Fix packages are included in paid plans. Full-page writing and refresh use a separate content add-on.

03 / Prove · Proof Loop

See what changed. Keep the evidence.

Re-test the same question after publishing, with a dated record for every engine.

Baseline citations0 / 123 checks × 4 engines
After publication12 / 22completed observations cited the brand
Latest re-test3 / 4engines cited BrightMetrics

Proof loops by engine

Daily · 6 re-tests
Fix shipped · Sep 4Same proposed page, now published in this example
Fictional citations for the selected question: baseline zero of twelve; post-publication twelve of twenty-two completed observations. Two unavailable observations excluded.
EngineBefore
Sep 1–3
Sep 5Sep 6Sep 7Sep 8Sep 9Sep 10
Perplexity0 / 3
ChatGPT0 / 3
Claude0 / 3
Google AI Overviews0 / 3
CitedNot citedNo run2 no-run cells excluded
Inspect a stored answer Perplexity · Sep 10
Sample captured answer · brand cited
“For product-led SaaS teams, BrightMetrics connects product usage to customer accounts and helps identify activation drop-offs.”

Cited sourcebrightmetrics.example/resources/customer-analytics-platform

A saved answer and its source make the observation inspectable.

Evidence you can bring to the next client update.Dated checks, source citations, and exportable reports.

Explore Proof Loop

Illustrative observations, not customer results or proof that a page edit caused a citation.

One connected workspace

From missing answers
to meaningful work.

AI search visibility optimization, from your first brand audit to content improvements and recurring client reports.

Explore the platform

See what you get

Useful work.
Visible evidence.

Move from a missing citation to a focused package: page edits, source research, and a clear plan for the next check.

BrightMetrics / Fix packageIllustrative sample

Opportunity → proposed work

Make the PLG analytics use case clear.

Answer the buyer’s question on the page that should support it, with facts your team can verify.

  • Proposed answer blockReview copy
  • Schema and page checklistValidate fit
  • Supporting source planCheck evidence
  • Fixed-prompt re-testObserve change

An example package for a fictional brand. Every edit needs review.

Built for agencies.

Keep client work organized, explain what changed, and turn evidence into the next useful conversation.

Explore agency workflows

Built for ambitious teams.

Give B2B SaaS, content, and SEO teams a shared view of what to investigate, improve, and measure.

Explore team workflows

Start free. Build your workflow from there.

Paid plans from $49/month. Fix packages, tracking, and reporting in one workspace.

Full-page writing and refresh are available with a separate content add-on.
Compare plans

Good questions

A little more
clarity.

What RankEcho does, how it measures, and where to start.

Talk to us
What is RankEcho?

RankEcho is an AI search visibility workspace. It records where your brand and competitors appear in sampled answers, helps you prepare changes, and compares later observations after you publish. Audits, content work, brand accuracy, and client reporting share the same workflow.

Which AI engines does RankEcho check?

Free audits check Perplexity and Gemini once per prompt. Paid and trialing accounts add ChatGPT, Claude, and Google AI Overviews when configured for the account, for up to 5 engines.

What can I do for free?

Run a sitewide or page-level audit without a card or login. You can also use the citation checker, Prompt Gap Finder, crawler-policy check, technical signal check, and fix preview. Paid plans add fix packages, grounded rewrites, scheduled re-tests, Truth Layer, and traffic analysis.

Are writing and refreshing pages included?

Full-page writing and refresh workflows require a content add-on alongside a paid RankEcho plan. Fix packages and Draft Studio rewrites are included in paid base plans. Review your proposed changes and export them to your publishing workflow; RankEcho does not automatically publish to your site.

How do I know whether a change helped?

Record what you shipped, then re-test the same prompts with the same configured engines. The Proof Loop compares saved observations and reports timing, repeat counts, and unavailable results. A later citation is an observed change, not proof that your edit caused it. Citations are never guaranteed.

Can I check how AI describes my brand?

Yes. Truth Layer compares AI answers with brand facts you have confirmed. It helps you review inaccurate, outdated, or unverified claims and plan corrections. It does not change an AI provider's answers directly.

How does RankEcho measure AI traffic?

Traffic Lens classifies referrer and campaign signals in an analytics CSV you import. AI Traffic Attribution uses a site tag to record those signals and connect conversion events to visits. Both depend on observable evidence; neither can identify an AI visit with no usable source signal.

Can I use RankEcho for client work?

Yes. Client workspaces bring together audits, prompt portfolios, fixes, reports, and notes. Paid plans support branded client rooms and read-only client viewers. Team seats and domain allowances vary by plan; Agency adds full white-label branding and more capacity. Optional concierge onboarding is purchased separately.

Free audits run each prompt-engine cell once; Solo runs it twice; Growth and Agency run it 3 times.

Your next opportunity
starts with one question.

See where your brand stands