AI Search/AI Search Audit

A forensic AI search audit that surfaces every citation gap on your domain.

We audit the schema, entity, passage, and citation layers across your top commercial pages — then hand back a ranked, ROI-scored remediation list your team can ship in the next 60 days.

Why this is harder than it looks

Most AI search programs start with the wrong fixes.

Without a forensic baseline, teams ship the work that's easy instead of the work that moves the metric. A real audit isolates the 5 issues responsible for 80% of the citation gap.

Generic 'AI SEO' audits miss the layer that matters

Most audits cover keywords. The retrieval layer — schema, entities, passage shape — is barely scored.

No quote-rate baseline

Without a baseline citation rate per engine, you can't measure whether the audit's recommendations worked.

No ROI scoring

200-line audits without prioritization burn months. We score every fix on effort × impact so the team ships the top 20 first.

No competitive context

An audit that doesn't show what the cited competitor is doing differently is half an audit.

How we run the engagement

A focused stand-up, then continuous operations.

  1. 01

    Quote-rate baseline

    Week 1

    Sample 200 prompts across four engines, log cited URLs and slot positions per prompt.

  2. 02

    Schema & entity teardown

    Week 1–2

    Page-by-page schema audit, sameAs graph mapping, and entity disambiguation review.

  3. 03

    Passage assessment

    Week 2–3

    Top 60 commercial pages assessed for retrievability — passage length, density, entity placement.

  4. 04

    Citation graph analysis

    Week 2–3

    Off-site citation footprint mapped against direct competitors; gaps surfaced with publication-level recommendations.

  5. 05

    ROI-scored deliverable

    Week 3

    Prioritized remediation list with effort, impact, and expected lift per item — ready for sprint planning.

Framework

The AdWave AI Search Audits Operating System

A six-layer system we run for every ai search audits engagement — sequenced so each layer reinforces the next instead of competing for attention.

01

AI Search Audits retrievability baseline

Sample top commercial prompts across every answer engine and log every cited URL, anchor, and competitor — the single number we move.

02

Entity & schema graph rebuild

Single canonical Organization graph with sameAs to Wikidata, LinkedIn, Crunchbase + Article, FAQPage, HowTo, Product on every commercial page.

03

Passage-level engineering

60–120 word retriever-friendly answer blocks, structured definitions, comparison tables, bolded entities — formatted exactly the way LLM retrievers chunk.

04

Citation portfolio seeding

Earned mentions on the third-party sources LLMs lean on hardest — Wikipedia, G2, podcasts with full transcripts, category-defining lists.

05

Cross-engine measurement layer

Weekly re-prompting across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews with regression alerts and a Looker dashboard.

06

AI Search Audits continuous ops

Quarterly entity refresh, monthly portfolio review, monthly content velocity calls — AI search shifts weekly, the program shifts with it.

Performance trajectory

What ai search audits actually does to the trend line.

Indexed cross-engine share of voice over 12 weeks. Brand line trends up as schema, passage, and citation work compound; competitor line is held flat for reference.

Brand SOV (%)
+132%
period lift
Peak
65
brand sov (%)
Closest competitor (%)
-7%
comparison
016334965Wk 0Wk 2Wk 4Wk 6Wk 8Wk 10Wk 12
Brand SOV (%)
Closest competitor (%)
% of monitored prompts citing the brand. Engagement-level medians from recent ai search audits programs.
What the numbers actually look like

What a real AI search audit uncovers.

Median findings from our last 30 enterprise audits. The same five issues account for ~80% of the recommended fixes — but exactly which five varies by category.

73%
Sites missing FAQPage
on commercial pages
68%
Pages too long for retrieval
41%
Avg quote-rate gap
vs cited competitor
$0
Spend before remediation
audit-only engagement
SchemaEntitiesPassagesCrawlCitationsAuthority

AI search audit radar: six-axis assessment scoring schema, entities, passages, crawl, citations, and authority.

Strategic comparison

Why ai search audits fails as a generic line item — and works as a discipline.

The same budget produces wildly different outcomes depending on how the program is operated. Here's how a generic vendor approaches ai search audits versus how AdWave runs it.

Aspect
Generic AI SEO vendor
AdWave AI Search practice
Engine coverage
ChatGPT only — Perplexity, Gemini, Claude untracked.
Five-engine portfolio with weighted SOV scoring.
Schema depth
Boilerplate Organization + FAQPage.
Org + Article + Product + HowTo + Person + sameAs graph.
Citation strategy
Backlinks repackaged as 'AI citations'.
Earned third-party mentions seeded where LLMs sample.
Reporting cadence
Quarterly screenshots.
Weekly portfolio SOV with regression alerts.
Editorial alignment
Disconnected from refresh windows.
Sequenced to each engine's freshness model.
Who this is built for

Best for teams about to invest in AI search at scale.

Head of SEO planning a 2026 AI search budget

Trigger event

Triggered when leadership asks 'what's the actual gap?' before approving spend.

What we ship

We deliver the baseline that justifies the budget and sequences the work.

VP Growth at a Series C scale-up

Trigger event

Triggered when AI search has been on the roadmap for two quarters with no shipped work.

What we ship

We hand the team a 60-day execution plan they can run themselves or with us.

CMO at a regulated brand

Trigger event

Triggered when compliance and brand teams need a defensible plan before AI search work begins.

What we ship

We document the entity and citation moves with risk assessments suitable for legal review.

Mini case · Fintech & Insurance

How a b2b saas brand turned ai search audits into a defensible growth channel.

The team had most ai search programs start with the wrong fixes and needed measurable lift inside one quarter. We ran the AdWave AI Search Audits system end-to-end: baseline, framework deploy, weekly ops, and a profit-graded reporting layer the executive team trusts. Results compounded in week 7 once the layers reinforced each other.

Timeframe · 90 days
Before
Sites missing FAQPage
baseline
Pages too long for retrieval
After
Sites missing FAQPage
73%
Pages too long for retrieval
68%
Industry playbooks

Where ai search audits compounds fastest.

Every industry buys ai search audits for a different reason. Below are the patterns we see most.

B2B SaaS

Pain

AI Overviews summarize comparison queries without surfacing the brand.

Outcome

Cited as the recommended option in 4 of 5 buying-stage prompts.

Healthcare & Multi-location

Pain

ChatGPT recommends competitors by name in patient prompts.

Outcome

Branded share-of-voice across LLMs lifts 3.4x in 90 days.

Professional Services

Pain

Practice areas invisible to generative engines despite strong rankings.

Outcome

Practice-area passages cited in 60%+ of high-intent prompts.

Ecommerce

Pain

Product comparisons answered without the brand listed.

Outcome

Product entity authority rebuilt; PDP citations 2.8x.

Fintech & Insurance

Pain

Regulated content reads as marketing fluff to LLMs.

Outcome

Retrievable evidence layer earns expert citations weekly.

Higher-Ed & EdTech

Pain

Program pages buried beneath aggregator listicles.

Outcome

Program entities synthesized into engine answers directly.

Fit check

Is AI Search Audits the right next move for your team?

Best for
  • Teams ready to commit a 90-day window for ai search audits to compound.
  • Leadership that wants pipeline / revenue reporting, not vanity metrics.
  • An in-house operator who can be the day-to-day partner.
  • A brand with a real product or service to back the demand we generate.
  • Budget headroom to act on the program's recommendations.
Not ideal for
  • Teams looking for a one-month boost with no follow-through.
  • Programs run from a junior contractor with no executive air cover.
  • Brands without a defined ICP or measurable funnel.
  • Organizations expecting tactical execution without strategic input.
Why AdWave

Why teams pick AdWave for ai search audits.

Five reasons the right operating partner changes the ai search audits curve more than another five-figure tooling spend.

01
We ran AI search before it had a name

Citation engineering since GPT-3.5. Our playbooks are forged from thousands of retrievals, not a Twitter thread.

02
Engineering in-house

Schema CI/CD, prompt-evaluation rigs, and warehouse pipelines are built by our engineers — not outsourced to a freelancer marketplace.

03
Senior operators on every account

No junior account managers. The strategist who scopes you ships the work and runs your weekly review.

04
Attribution discipline

Pipeline-grade reporting from AI search clicks to closed-won — not vanity citation counts.

05
Cross-engine ethics

We don't manipulate retrievers. Every tactic survives an engine refresh because the underlying authority is real.

Execution stack

The tools we run inside every ai search audits program.

Every tool below earns its place by accelerating execution, not by adding overhead.

Otterly.AI

Cross-engine prompt monitoring and SOV.

Profound

AI search visibility and citation tracking.

AlsoAsked + AnswerThePublic

Prompt taxonomy and intent mining.

Schema App

Enterprise schema deployment + JSON-LD CI/CD.

Ahrefs / Semrush

Classic search and backlink baseline.

BigQuery + Looker

Portfolio SOV warehouse and dashboards.

ScreamingFrog + Sitebulb

Structured-data audits at scale.

GA4 + GSC API

Click-loss attribution from AI Overviews.

FAQ

Real questions buyers ask about ai search audits.

Pulled from scoping calls — not the generic ones. Three clusters covering scope, measurement, and program fit.

Scope & Timeline

Measurement & Reporting

Program Fit

Free strategy session

Find the five AI search issues responsible for 80% of the gap.

We'll deliver a forensic AI search audit covering schema, entities, passages, and citations — with an ROI-scored remediation list your team can ship in the next sprint.

  • 5-day turnaround
  • No commitment
  • Senior strategist call