AI citation audit for SaaS teamsEvidence-backed sample report

See why AI answers cite competitors before they cite you.

Citemeter shows why AI systems like ChatGPT, Perplexity, and Google's AI Overviews cite your competitors and not you — and gives your dev team the exact fix list to close the gap.

No signup. No card. Results in about 20 seconds.

3 free creditsNo card requiredResults in minutes, not weeks

Why you lose citations

See the entity, content, and trust gaps that keep AI systems from citing your pages.

Proof you can inspect

Review a sample report, implementation handoff, and proof trail before your team buys.

Actionable fixes

Give SEO, content, and product teams a clear list of changes ordered by impact.

Product snapshot

What a buyer sees after the run

Real workflow

Overall score

78 / 100

Citation readiness with clear blocker prioritization.

Top issue

Entity clarity gap

Brand and product context are not explicit enough for AI retrieval.

Handoff

Report + fix list + evidence

Every run ends with outputs teams can review immediately.

Priority fixes

Ordered work instead of a flat issue dump

Sample-ready
P1

Add organization and product entity markup

Improve brand recognition and same-entity resolution.

P2

Restructure buyer-answer pages for extraction

Move concise answers above supporting detail and tighten heading hierarchy.

P3

Strengthen trust and policy coverage

Make authority, contact, and policy pages easier for AI systems to parse.

Product explainer

What Citemeter does, in plain English

It audits whether AI systems can parse, trust, and cite your most important pages, then turns the result into outputs a real team can use.

Audit your site against AI citation signals

Check schema coverage, entity clarity, answer extractability, crawl hygiene, and trust signals in one product workflow instead of stitching together opinions from multiple tools.

Inspect proof before you buy

Cold visitors can review a real sample report, proof for the findings, and the implementation handoff before they create an account or book time with sales.

Ship a fix list your team can actually use

Every run ends with a score, report PDF, evidence for every finding, and a Fix Pack (a prioritized to-do list for your dev team, with code snippets), so the next sprint starts with execution instead of rediagnosis.

Visual proof

Start with the proof asset buyers care about most

Start with the sample report, then inspect the implementation handoff and proof trail. Buyers can see the value of the audit before anyone creates an account.

Most visited proof asset

Sample report

Preview the stakeholder-facing PDF first. It shows the score, the business impact behind the gaps, and the sections buyers usually review before they buy.

Preview structure

01Executive summary
02Citation blockers
03Competitor gap
04Priority actions
Open sample report

Implementation handoff

Sample implementation handoff

Show the handoff your SEO, content, and engineering teams actually care about: what to change, how urgent it is, and what impact to expect.

Preview structure

01Prioritized tasks
02Effort ranges
03Schema notes
04Content changes
Open sample handoff

Verification trail

Sample evidence

Review the supporting screenshots, HTML extracts, and AI traces that make each recommendation defensible before anyone touches production pages.

Preview structure

01Screenshot proof
02HTML extracts
03Model traces
04Archive index
Open sample evidence

Trust layer

Evidence that makes the audit credible before you buy

Published benchmark data, real sample deliverables, clear pricing, and direct contact details help teams validate the product without relying on vague claims.

Public benchmark proof is visible

The benchmark series publishes weighted precision, strict precision, and false-positive share together so buyers can judge the workflow without black-box claims.

Sample deliverables are inspectable

The report, implementation handoff, and proof trail are all public, which lets cold visitors validate output quality before they create an account.

Commercial flow is clear

Buyers can compare one-time packs in USD, confirm credits used with the free scan, and request a walkthrough when the rollout needs more support.

Company contact is direct

Commercial pages point to a direct company inbox and a request-demo flow rather than hiding support behind signup walls.

How it works

From free scan to implementation handoff

The flow is designed so cold visitors can learn, validate, and act in that order.

  1. 01

    Run a free scan

    Start with your domain and top buyer questions. Citemeter checks fit, estimates audit depth, and shows the credits used before you launch anything paid.

  2. 02

    Inspect the score and evidence

    See which signals stop AI systems from citing you, where competitors win the answer, and which findings are backed by crawl, page, and model evidence.

  3. 03

    Ship the implementation handoff

    Hand off a prioritized set of schema, content, metadata, and trust improvements so the team knows what should move this week.

Differentiation

A prompt gives advice. The product gives your team a workflow.

Generic prompting can brainstorm ideas, but it cannot replace a reproducible audit, a visible proof chain, and an implementation-ready handoff.

Ask an LLM directly

Advice without a system

  • -Opinionated answer that changes by prompt
  • -No page-level evidence chain
  • -No report or implementation handoff
  • -No clear path from diagnosis to shipped fix

Run Citemeter

Decision-ready output

  • +Scored findings across the signals AI uses to cite
  • +Every finding links to the source that proves it
  • +Sample-ready report output buyers can inspect first
  • +Implementation handoff ordered by impact so teams know what ships first

Product walkthrough

A real walkthrough video is available when buyers want more than static proof

Start with the sample assets, review the public benchmarks, then use the walkthrough when your team wants a guided look at the workflow.

Product walkthrough

Watch the product walkthrough

See how Citemeter turns AI-search evidence into a report and implementation handoff your team can review before the call.

Use cases

Built for the teams that need AI visibility to turn into shipped work

Each use case connects AI visibility problems to the teams that have to diagnose them, explain them internally, and ship the fixes.

SEO and growth teams

Use Citemeter when rankings are stable but AI answers still recommend competitors or ignore your category pages.

Product and engineering teams

Use it when your team needs a reliable change list for schema, metadata, internal linking, and answer structure instead of vague optimization advice.

Agencies and consultants

Use it when clients need proof-heavy deliverables that show what changed, what matters, and what should happen next.

Revenue and marketing leaders

Use it when you need a credible AI-search story for the business, not a long methodology essay that still leaves the team guessing.

Pricing preview

Simple USD pricing for teams running AI citation audits

Compare one-time audit packs in USD, see typical credits used by audit depth, and start with the free scan before you pay. Tax calculated at checkout.

Starter Pack

Best for validating a few priority pages after the welcome credits.

$19

10 audit credits · valid for 365 days · tax calculated at checkout

Covers about 2-10 audits depending on package and complexity.

Start free

Growth Pack

Best value for teams running recurring audits across launches and content updates.

Recommended

$39

25 audit credits · valid for 365 days · tax calculated at checkout

Covers about 6-25 audits depending on package and complexity.

Start free

Agency Pack

Built for agencies and multi-brand teams with steady audit volume.

$99

100 audit credits · valid for 365 days · tax calculated at checkout

Covers about 25-100 audits depending on package and complexity.

Start free

Quick Audit uses 1-2 credits · Standard Audit: 1 credit for most SaaS sites (up to 3 for complex enterprise sites). · Deep Audit uses 2-4 credits

Public pricing is shown in USD for clarity. Tax is calculated at checkout, and the free scan confirms how many credits your site will use before you commit to a pack.

FAQ

Questions buyers ask before they create an account

Answer the practical questions that usually slow down a purchase: credit usage, audit timing, required inputs, and what your team receives.

How do credits work?

Every new workspace starts with 3 welcome credits. The initial free scan is free, then you choose a package before launch. Quick Audit uses 1-2 credits, Standard Audit: 1 credit for most SaaS sites (up to 3 for complex enterprise sites), and Deep Audit uses 2-4 based on site complexity. Public pack pricing is shown in USD and tax is calculated at checkout.

What exactly is GEO?

GEO (Generative Engine Optimization) is the practice of structuring your site so AI assistants can accurately read, cite, and recommend your content. It covers structured data, entity clarity, content parsing, and how AI search engines weigh your authority versus competitors. Where traditional SEO targets ranking algorithms, GEO targets the language models that generate answers.

How is this different from a traditional SEO audit?

A traditional SEO audit checks ranking signals: backlinks, page speed, keyword density. A GEO audit tests how AI systems actually parse your content, whether they can extract structured answers, how they compare you to competitors, and whether your structured data lets them cite you accurately.

How long does an audit take?

Most audits complete within minutes. You receive your report and prioritized fix list as soon as the pipeline finishes processing.

What do we need to provide?

Your domain URL and a list of questions your customers typically ask. Deep Audit also supports optional competitor domains for benchmarking. No code access, no API keys, or server credentials are required.

Can our dev team implement the fixes without consulting help?

Yes. The implementation handoff is built for that. It includes schema markup templates, metadata snippets, and a prioritized implementation checklist. No interpretation required. Most teams ship the top fixes within a sprint.

Do credits expire?

Yes. Welcome credits are valid for 90 days. Purchased credit packs are currently valid for 365 days from purchase, and the exact expiry window is shown in-product before checkout.

Final CTA

Ready to see what AI search sees on your site?

Start with the sample report if you need more confidence. If you are ready to test your domain, run the free scan and move into the full audit only when the scope makes sense.

What teams get next

See why AI systems skip your site
Compare your visibility against cited competitors
Review evidence-backed fixes before rollout
Give every team a clear next step