AI search analytics for growth teams

Are buyers seeing you or your competitors in AI search?

Start with your landing page

Show up when buyers ask ChatGPT, Claude, Perplexity, or Gemini for your product. See where your brand appears, where competitors win, and what marketing, SEO, and GTM should fix next.

Turn prompt results, citation gaps, competitor mentions, site readiness, and AI traffic into a live action plan for earning more trusted mentions and qualified visits.

See how Aparok improves AI visibility
Built for Series A, B, and C SaaSFor SaaS SEO and growth teamsEvidence-backedExportable
Example AI visibility gapAcme is absent from a buyer shortlist
Ready
Highest-priority opportunityWin the bottom-funnel comparison gap

Competitors and review sites are cited for a buyer prompt where Acme is absent.

ImpactHigh
ConfidenceHigh
OwnerContent
Next actionCreate a comparison page with pricing proof, customer evidence, FAQs, and Product schema.

AI visibility workflow example

See how AI discovery becomes the next action.

Aparok connects where attributable AI traffic originates, which stage of the buyer journey it reaches, and the evidence-backed action your team should prioritize next.

Example data
AI source to funnel stage and recommended actionIllustrative traffic flows from ChatGPT, Perplexity, and Gemini into top, middle, and bottom funnel stages, followed by prioritized actions.AI sourceBuyer stageRecommended actionChatGPT58%Perplexity27%Gemini15%Bottom funnel46%Middle funnel34%Top funnel20%P1 · HIGH IMPACTCreate comparison pagePricing proof · reviews · Product schemaP2 · TRUSTStrengthen trust evidenceP2 · CONTENTPublish category guide

Next best action

Win a bottom-funnel comparison where other sources are already cited.

P1 · High confidence
Buyer questionBest analytics platform for a growing SaaS team
Observed gapYour brand is missing; competitor and review pages are cited
Funnel stageBottom of funnel
Recommended actionCreate a comparison page with pricing proof, customer evidence, FAQs, and Product schema

AI search performance signals

Track what AI says, who it cites, and what to fix next.

Aparok connects the signals that shape AI discovery so your team can improve brand mentions, citations, and qualified traffic with a clear next action.

01

Executive readout

The decision, before the detail

A concise view of the positioning risk, traffic signal, competitive pressure, and highest-priority move for the next planning cycle.

  • Executive summary
  • Positioning and GTM read
  • Owners and priorities
02

Buyer demand

Prompt gaps mapped to intent

See which high-intent questions mention your brand, which omit it, and where the buyer is in the journey when competitors win the answer.

  • Prompt coverage
  • Funnel stage
  • Brand and competitor status
03

Source intelligence

The sources shaping AI answers

Identify cited domains and winning page patterns so your team can decide whether to create, strengthen, or earn the evidence assistants rely on.

  • Cited domains
  • Competitor mentions
  • Winning-source patterns
04

AI traffic

Measured visits connected to outcomes

Connect attributable assistant sessions to landing pages, buyer intent, and conversions without treating unprovable direct traffic as AI traffic.

  • AI sessions
  • Landing-page flow
  • Conversion evidence
05

Technical readiness

Pages assistants can crawl and interpret

Audit crawlability, semantic structure, accessibility-tree coverage, schema, and template-level issues that weaken extraction and citation readiness.

  • Readiness score
  • Template issues
  • Accessibility-tree audit
06

Action engine

A ranked plan your team can execute

Every recommendation includes the observed gap, supporting evidence, expected impact, confidence, owner, and the exact page or asset to change.

  • Next best actions
  • Opportunity roadmap
  • Retest prompts

Why each signal matters

Know what you gain—and what stays exposed without it.

AI search analytics are only useful when they change a decision. These are the practical outcomes each signal is designed to create.

Positioning, category, and audience

What you gain

Give AI systems a precise way to understand who you serve, what category you belong to, and when buyers should choose you.

Without it

Assistants infer your position from incomplete copy or third-party sources—and may place better-defined competitors in the answer instead.

Competitive and cited-source intelligence

What you gain

See which competitors, publishers, communities, and page formats already influence answers so you know where to compete or earn proof.

Without it

You keep publishing without knowing which outside sources shape the recommendation or why competing brands are repeatedly included.

Acquisition angles and prompt gaps

What you gain

Turn real buyer questions into category, comparison, alternative, and use-case pages tied to a clear stage of demand.

Without it

Content plans stay keyword-led while high-intent AI questions send buyers toward pages built by competitors and review sites.

OSINT research leads

What you gain

Know which lists, reviews, communities, and category pages your team should investigate before committing budget or outreach.

Without it

Important market evidence remains unverified, and positioning decisions are made from owned-site data alone.

Technical and accessibility-tree readiness

What you gain

Find templates that prevent browser-based agents from identifying controls, landmarks, headings, entities, or page purpose.

Without it

Strong content can remain difficult to extract, interpret, or cite—and the team may mistake a technical visibility problem for a content problem.

Aparok intelligence insights and executive actions

What you gain

Leave with the demand gap, competitive leak, traffic leak, next move, priority, and owner required to start execution.

Without it

The organization receives another dashboard, but no shared decision about what to fix first or who is accountable.

Anatomy of a recommendation

Enough context to act without another analysis meeting.

Aparok does not stop at a score. It shows the evidence and execution details required to assign work, defend the priority, and measure whether the change helped.

Start improving AI visibility
Observed gapWhat the evidence says is missing or underperforming
Why it mattersThe buyer-stage, competitive, or traffic consequence
Winning evidenceThe source, competitor, prompt, or page pattern behind the recommendation
Exact actionThe page, proof, schema, technical fix, or outreach move to execute
Impact + confidenceA directional priority grounded in the depth of available evidence
Owner + retestWho should act and which prompt or metric confirms progress

Built for recurring decisions

Scan, decide, execute, and retest.

1

Collect

Crawl the site, run buyer prompts, and capture attributable AI traffic.

2

Connect

Link prompt, source, competitor, page, technical, and traffic evidence.

3

Prioritize

Rank actions by buyer impact, urgency, and confidence.

4

Retest

Repeat prompts and monitor traffic after the work ships.

Win the answers buyers trust

Know where your brand is missing and what to fix next.

Replace disconnected prompt, citation, competitor, technical, and traffic checks with one workflow for improving AI search visibility.

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Aparok Strategy Report | AI Visibility for Series A, B, and C SaaS