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SAMPLE REPORT · FICTIONAL COMPANY

How an Expert AI Visibility Audit is structured

Locked buyer questions. Clean multi-platform tests. Mention, description, recommendation, and citation scored separately — then a 30-day plan. Subject and competitors below are fictional. Scores are a documented sample, not a ranking.

Fictional subjectFictional competitorsDocumented sample · not a ranking
Request an Opportunity BriefJump to scored prompts

Example company · not a real client

Northline Analytics

northline.example

Offer

B2B revenue intelligence platform for mid-market SaaS teams

Market

United Kingdom

Test date

15 July 2026

Prompts

30 buyer questions

Pages

8 priority URLs

Session

Primarily logged out / clean session

Platforms sampled

ChatGPT
Gemini
Perplexity
Google AI search

Sample scores · fictional company

Northline Analytics, ApexRev, ClearMetric, and PipelineOS are fictional. Numbers, charts, and findings show report structure — not results for any real company.

WHY THIS AUDIT EXISTS

Industry context — not Northline scores

Cited research explains why buyers test AI answers. The Northline numbers later on this page are a separate fictional sample.

85%

of AI citations come from third-party sources, not the brand’s domain

AirOps / Search Engine Journal, 2026

91%

of AI citations appear in only one engine — consensus across platforms is rare

Kevin Indig / Growth Memo

94%

of B2B buying-party members use LLMs during vendor selection

Green Hat, 2025

4.4×

value reported for AI-search visitors vs typical organic visitors (industry, not a promise)

Semrush, 2026

1. Access

Can AI crawlers reach the pages?

In this sample

2. Visibility

Are you mentioned, described, recommended, cited?

In this sample

3. Referral

Do AI answers send measurable traffic?

Not in this sample

4. Dark funnel

Does AI research show up later as branded demand?

Not in this sample

5. Outcomes

Does it create pipeline?

Not in this sample

VISIBILITY SNAPSHOT

Headline metrics for Northline

Rates are % of the 30 tested prompts in this fictional sample. Real reports document every prompt and condition.

Mention rate

23%

Brand named in answers

Citation rate

12%

Primary site cited

Recommendation rate

8%

Actively recommended

Description accuracy

41%

Matches site claims

Share of voice

14%

Vs 3 competitors

Share of voice

Who appears in answers

Sample %
14%Subject
  • ApexRev34%
  • ClearMetric28%
  • PipelineOS18%
  • Northline Analytics14%
  • Other / none6%

Intent coverage

Mention rate by buyer stage

Of prompts tested
DiscoveryMentioned in 4 of 12 · 33%
ComparisonMentioned in 2 of 10 · 20%
Purchase intentMentioned in 1 of 8 · 12%

Discovery is stronger than comparison and purchase-intent in this sample—common when entity clarity is weak and alternatives pages are missing.

Cross-platform breakdown

Mentions · citations · recommendations · accuracy

Mentions Citations Recommend Accuracy
ChatGPT
Mentions30%
Citations15%
Recommend10%
Accuracy45%
Gemini
Mentions15%
Citations5%
Recommend0%
Accuracy20%
Perplexity
Mentions35%
Citations25%
Recommend15%
Accuracy50%
Google AI search
Mentions10%
Citations5%
Recommend5%
Accuracy25%
SCORED PROMPT LIBRARY

The questions we ran — and what each engine did

This is the locked Northline set, not a fill-in template. Filter by job, then open a row for the four-platform score, sources, and who appeared instead.

  1. P01brand

    Brand definitionWhat does Northline Analytics do for mid-market B2B SaaS RevOps teams in the UK?

    DescOmitDescLimdescribed
    What does Northline Analytics do for mid-market B2B SaaS RevOps teams in the UK?

    Why it was in the set · A named-brand question should return the RevOps and forecasting offer, not a generic dashboard label.

    ChatGPT
    described

    Named Northline and cited the homepage, then summarized the product as analytics software without a RevOps outcome.

    Source · owned page · northline.example

    Gemini
    omitted

    Returned a generic software-category answer and did not treat Northline as a known revenue-intelligence product.

    Source · not found

    Perplexity
    described

    Cited a third-party tools roundup and called Northline a sales dashboard for tracking deals.

    Source · third-party roundup

    Google AI search
    limited

    The AI overview-style result stayed on broader analytics software and did not surface a Northline entity card.

    Source · not found

    Missing proof · No extractable one-line definition that names forecast accuracy, mid-market SaaS, and CRM workflow.

    Who appeared instead · No competitor took the named-brand slot; the description still flattened to a sales dashboard.

  2. P02brand

    UK RevOps fitIs Northline Analytics a good fit for UK mid-market RevOps teams that need better forecasts?

    RecOmitMentLimrecommended
    Is Northline Analytics a good fit for UK mid-market RevOps teams that need better forecasts?

    Why it was in the set · A qualified UK buyer needs a market-specific yes with proof, not a vague capability nod.

    ChatGPT
    recommended

    Recommended Northline for mid-market RevOps and cited the solutions page, with only a thin UK market sentence.

    Source · owned page · northline.example/solutions/revops

    Gemini
    omitted

    Did not recognize Northline as a UK RevOps option and defaulted to larger category suites.

    Source · not found

    Perplexity
    mentioned

    Mentioned Northline in a UK tools list but ranked ApexRev first and cited the roundup, not northline.example.

    Source · third-party roundup

    Google AI search
    limited

    The limited overview treated the query as generic RevOps software and omitted Northline.

    Source · not found

    Missing proof · No UK mid-market case, forecast-accuracy metric, or residency statement for Gemini or Google AI search to reuse.

    Who appeared instead · ChatGPT gave a cautious yes; ApexRev still appeared as the safer named alternative on Perplexity.

  3. P03category

    UK category listWhich revenue intelligence tools help mid-market B2B SaaS teams in the UK?

    OmitOmitOmitLimomitted
    Which revenue intelligence tools help mid-market B2B SaaS teams in the UK?

    Why it was in the set · Category shortlists decide whether Northline ever enters a comparison set for UK buyers.

    ChatGPT
    omitted

    Listed ApexRev, ClearMetric, and PipelineOS from a generic revenue-intelligence roundup and skipped Northline.

    Source · third-party roundup

    Gemini
    omitted

    Named two large suites and offered no UK mid-market specialists, including Northline.

    Source · not found

    Perplexity
    omitted

    Cited a UK SaaS tools list that opened with ApexRev and never included northline.example.

    Source · third-party roundup

    Google AI search
    limited

    Where an AI overview appeared, it pointed at enterprise suites and did not name Northline.

    Source · not found

    Missing proof · No UK mid-market SaaS landing page that answers this question in extractable list form.

    Who appeared instead · ApexRev led the shortlist, with ClearMetric second and PipelineOS on cost-focused mentions.

  4. P04category

    Forecast accuracy toolsWhat software helps RevOps leaders improve forecast accuracy for mid-market SaaS companies?

    OmitOmitOmitLimomitted
    What software helps RevOps leaders improve forecast accuracy for mid-market SaaS companies?

    Why it was in the set · Forecast accuracy is the commercial job Northline claims, so absence here is a pipeline leak.

    ChatGPT
    omitted

    Recommended ApexRev for forecast accuracy and cited that competitor’s product page, not Northline.

    Source · competitor product page

    Gemini
    omitted

    Gave process advice plus one enterprise platform and never introduced Northline.

    Source · not found

    Perplexity
    omitted

    Pulled a forecast-tools roundup headed by ApexRev and ClearMetric with no Northline row.

    Source · third-party roundup

    Google AI search
    limited

    The limited result mixed CRM reporting tips with category leaders and omitted Northline.

    Source · not found

    Missing proof · No public forecast-accuracy metric, methodology note, or definition block for engines to cite.

    Who appeared instead · ApexRev won on forecasting language; ClearMetric appeared when the answer leaned enterprise.

  5. P05competitor

    ApexRev alternativesWhat are the best alternatives to ApexRev for mid-market SaaS revenue intelligence?

    OmitOmitOmitOmitomitted
    What are the best alternatives to ApexRev for mid-market SaaS revenue intelligence?

    Why it was in the set · Buyers leaving a category leader are a high-intent set; omission here is a lost displacement opportunity.

    ChatGPT
    omitted

    Named ClearMetric and PipelineOS as ApexRev alternatives from a comparison roundup and skipped Northline.

    Source · third-party roundup

    Gemini
    omitted

    Repeated a ClearMetric-versus-ApexRev framing and did not add a third mid-market option.

    Source · competitor comparison page

    Perplexity
    omitted

    Cited a review-directory alternatives list that ranked ClearMetric first and omitted Northline.

    Source · review directory

    Google AI search
    omitted

    Showed ApexRev sitelinks and a ClearMetric alternative, with no Northline mention in the preserved result.

    Source · not found

    Missing proof · No alternatives page that uses the exact shortlist language buyers type after ApexRev.

    Who appeared instead · ClearMetric and PipelineOS took the alternative slots; Northline was absent from every engine.

  6. P06competitor

    Competitor shortlistWho are the main Northline Analytics competitors for RevOps teams buying in the UK?

    MentOmitMentOmitmentioned
    Who are the main Northline Analytics competitors for RevOps teams buying in the UK?

    Why it was in the set · A named-competitor question should place Northline in a three-vendor set with a distinct claim.

    ChatGPT
    mentioned

    Named ApexRev, ClearMetric, and PipelineOS, and cited the About page without a differentiation line.

    Source · owned page · northline.example/about

    Gemini
    omitted

    Answered with generic RevOps vendors and did not keep Northline in the competitive set.

    Source · not found

    Perplexity
    mentioned

    Kept Northline in the heading, then cited a roundup that spent the body on ApexRev.

    Source · third-party roundup

    Google AI search
    omitted

    Did not assemble a Northline competitor panel; visible links favored ApexRev explainers.

    Source · not found

    Missing proof · No structured compare table that states who Northline is for versus ApexRev and ClearMetric.

    Who appeared instead · ApexRev and ClearMetric were described in more detail than Northline, the named subject.

  7. P07comparison

    Northline vs ApexRevHow does Northline Analytics compare with ApexRev for revenue intelligence in mid-market SaaS?

    DescOmitMentLimdescribed
    How does Northline Analytics compare with ApexRev for revenue intelligence in mid-market SaaS?

    Why it was in the set · Head-to-head prompts are where late-stage buyers pick a vendor; losing the frame loses the deal.

    ChatGPT
    described

    Described both products and cited the Northline product page, but gave ApexRev the stronger forecast-feature list.

    Source · owned page · northline.example/product

    Gemini
    omitted

    Discussed ApexRev in detail and treated Northline as an unknown second name.

    Source · competitor product page

    Perplexity
    mentioned

    Mentioned Northline once inside a multi-vendor roundup that concluded ApexRev was the safer pick.

    Source · third-party roundup

    Google AI search
    limited

    The limited comparison module featured ApexRev and left Northline out of the visible pair.

    Source · not found

    Missing proof · No side-by-side page covering forecast workflow, mid-market fit, and implementation effort versus ApexRev.

    Who appeared instead · ApexRev won the comparison on depth of public product evidence.

  8. P08comparison

    Northline vs ClearMetricIs Northline Analytics better than ClearMetric for mid-market SaaS RevOps and forecasting?

    MentOmitMentOmitmentioned
    Is Northline Analytics better than ClearMetric for mid-market SaaS RevOps and forecasting?

    Why it was in the set · Better-than prompts reward a crisp ICP claim; without it, the enterprise-framed rival wins by default.

    ChatGPT
    mentioned

    Named both vendors and cited a thin compare URL, then declined to pick a winner without more proof.

    Source · owned page · northline.example/compare

    Gemini
    omitted

    Answered as if only ClearMetric were a known revenue platform and skipped Northline.

    Source · not found

    Perplexity
    mentioned

    Mentioned Northline, then cited a directory scorecard that favored ClearMetric on integrations.

    Source · review directory

    Google AI search
    omitted

    No stable head-to-head unit appeared; visible links pointed at ClearMetric explainers.

    Source · not found

    Missing proof · No mid-market versus enterprise positioning block that ClearMetric answers cannot overwrite.

    Who appeared instead · ClearMetric won, especially when answers assumed a larger revenue-operations stack.

  9. P09pricing

    Seat pricingWhat is Northline Analytics pricing for a 50-seat mid-market SaaS team in the UK?

    OmitOmitOmitLimomitted
    What is Northline Analytics pricing for a 50-seat mid-market SaaS team in the UK?

    Why it was in the set · Purchase-intent buyers who cannot find a price band stall or default to vendors with public packages.

    ChatGPT
    omitted

    Said Northline pricing was not published and moved to PipelineOS package language instead.

    Source · not found

    Gemini
    omitted

    Could not retrieve a Northline price and listed category vendors that publish starting fees.

    Source · not found

    Perplexity
    omitted

    Cited a pricing roundup covering ApexRev and PipelineOS and left Northline as unlisted.

    Source · third-party roundup

    Google AI search
    limited

    The limited commercial result showed no Northline price snippet and no sitelink for packaging.

    Source · not found

    Missing proof · No public starting price, seat band, or implementation-range statement for a 50-seat team.

    Who appeared instead · PipelineOS won the cost conversation; ApexRev appeared with a request-a-demo fallback.

  10. P10pricing

    CRM integrationsDoes Northline Analytics integrate with common CRM platforms used by UK SaaS teams?

    MentOmitOmitOmitmentioned
    Does Northline Analytics integrate with common CRM platforms used by UK SaaS teams?

    Why it was in the set · Integration proof is a purchase gate for RevOps; a vague yes loses to vendors with named connectors.

    ChatGPT
    mentioned

    Said Northline integrates with common CRMs and cited the integrations page, which lacked named connectors.

    Source · owned page · northline.example/integrations

    Gemini
    omitted

    Did not confirm Northline connectors and described CRM-native reporting instead.

    Source · not found

    Perplexity
    omitted

    Cited an integrations roundup that listed ApexRev and ClearMetric connectors, not Northline.

    Source · third-party roundup

    Google AI search
    omitted

    No integration-rich result for Northline; CRM queries resolved toward larger suites.

    Source · not found

    Missing proof · No connector list, auth model, or UK-hosted CRM workflow that engines can quote.

    Who appeared instead · ApexRev won on named CRM connectors; Northline received only a generic yes on ChatGPT.

  11. P11howto

    Forecast how-toHow can a UK mid-market SaaS RevOps team improve forecast accuracy without more spreadsheets?

    OmitOmitOmitLimomitted
    How can a UK mid-market SaaS RevOps team improve forecast accuracy without more spreadsheets?

    Why it was in the set · Problem-led how-to prompts capture demand before a brand is known; category leaders harvest that demand.

    ChatGPT
    omitted

    Gave a four-step forecast process and pointed to an ApexRev blog for the software layer.

    Source · competitor blog

    Gemini
    omitted

    Returned hygiene and CRM-field advice with no vendor set and no Northline mention.

    Source · not found

    Perplexity
    omitted

    Cited a how-to plus tools roundup that recommended ApexRev and PipelineOS.

    Source · third-party roundup

    Google AI search
    limited

    The limited overview summarized forecast hygiene and did not introduce Northline.

    Source · not found

    Missing proof · No citation-ready how-to asset with a UK example, metric, and method that engines can reuse.

    Who appeared instead · ApexRev was the vendor attached to the method; some answers stayed process-only.

  12. P12howto

    UK data residencyIs Northline Analytics suitable for UK data residency requirements for a B2B SaaS company?

    OmitOmitOmitLimlimited
    Is Northline Analytics suitable for UK data residency requirements for a B2B SaaS company?

    Why it was in the set · UK buyers treat residency as a hard constraint; silence here ends the purchase path.

    ChatGPT
    omitted

    Could not confirm Northline hosting regions and refused to certify UK residency.

    Source · not found

    Gemini
    omitted

    Answered with general UK data-protection notes and never attached them to Northline.

    Source · not found

    Perplexity
    omitted

    Found no trust-center citation for Northline and left residency unanswered.

    Source · not found

    Google AI search
    limited

    The limited legal-style overview discussed UK residency in the abstract and omitted Northline.

    Source · not found

    Missing proof · No public region, subprocessors, or residency statement on product or trust pages.

    Who appeared instead · No vendor won on evidence; ApexRev was named only as a safer-looking default on one engine.

This is a 12-prompt excerpt of the 30-question Expert Audit set run on Northline Analytics on 15 July 2026. Tests were English, United Kingdom, primarily logged out. Each answer was scored separately for mention, description, recommendation, and citation across ChatGPT, Gemini, Perplexity, and Google AI search. The full documented sample used 30 locked buyer questions; the wider set showed mention near 23 percent, primary-site citation near 12 percent, and recommendation near 8 percent. This is a documented sample log for a fictional subject, not a live client score and not a ranking.

DESCRIPTION ACCURACY

Observed vs expected brand description

Perplexity
Neutral · incomplete

Prompt tested

“What does Northline Analytics do?”

What the answer said

Northline Analytics is a sales dashboard tool for tracking deals and reporting pipeline metrics.

What the site actually claims

Northline Analytics is a revenue intelligence platform for mid-market B2B SaaS teams. It helps RevOps and sales leaders improve forecast accuracy, unify pipeline reporting, and operationalize revenue workflows across common CRM platforms.

Gap

Missing RevOps positioning, forecasting outcomes, target segment, and integration context. “Sales dashboard” understates the commercial offer.

EVIDENCE-BACKED FINDINGS

Commercially important priorities

01
Mentions & share of voice·Confidence High

Brand absent from category shortlists for UK mid-market framing

Discovery prompts that name UK mid-market SaaS rarely surface Northline. Category leaders dominate. Commercial risk: buyers never reach a comparison stage with Northline in the set.

Impact · HighEffort · Medium/solutions/revops//industries/saas/
02
Description accuracy·Confidence High

Inaccurate product description when the brand is mentioned

Sample answers compress the offer to “sales dashboard” or generic analytics. Forecasting, RevOps workflow, and mid-market positioning on the site are not reflected in generated descriptions.

Impact · HighEffort · Low//product/
03
Citations·Confidence Medium

Weak citation path to primary commercial pages

When Northline appears, citations more often point to third-party roundups than to product or integration pages. Primary pages lack clear answer-first summaries and evidence blocks AI systems can reuse.

Impact · HighEffort · Medium/product//integrations/
04
Competitive positioning·Confidence High

Competitor comparison pages do not address buyer shortlist language

ApexRev and ClearMetric win comparison-style prompts. Northline’s public site lacks structured alternatives framing for the exact shortlist language buyers use.

Impact · MediumEffort · Medium/compare//alternatives/
05
AI readiness·Confidence Medium

Entity and structured-data gaps on priority commercial URLs

Organization and SoftwareApplication markup is incomplete or inconsistent with visible claims. Author, evidence, and trust signals are thin on product pages.

Impact · MediumEffort · Low//about//product/
30-DAY ROADMAP

Prioritized action plan

1Quick winDays 1–7

Publish answer-first commercial definitions for the core offer

Add a concise BLUF block on the homepage and product page: who it is for, what problem it solves, and what outcomes it claims—with one evidence sentence.

Impact · HighEffort · Low
2Quick winDays 1–7

Align entity naming and structured data with visible claims

Standardize brand/product naming and implement accurate Organization + SoftwareApplication markup that matches on-page content.

Impact · MediumEffort · Low
3StrategicDays 8–21

Create UK mid-market SaaS landing coverage for discovery prompts

Ship a market-and-ICP page that answers “who is this for in the UK mid-market” with proof, integrations, and clear differentiation.

Impact · HighEffort · Medium
4StrategicDays 8–21

Build comparison pages using real buyer shortlist language

Publish careful alternatives framing versus ApexRev, ClearMetric, and PipelineOS without unsupported superiority claims.

Impact · HighEffort · Medium
5StrategicDays 15–30

Strengthen third-party citation paths and evidence assets

Prioritize review profiles, partner listings, and original evidence (metrics, methodology notes) that AI systems can cite alongside primary pages.

Impact · HighEffort · High

Sequenced weeks

Week 1

Clarity and extractability
  • Homepage and product BLUF + FAQ for top buyer questions
  • Entity naming cleanup
  • Structured data pass on top URLs

Week 2

Discovery coverage
  • UK mid-market SaaS commercial page
  • Integration proof block
  • Internal links from blog and resources

Week 3

Comparison readiness
  • Alternatives / comparison pages
  • Evidence appendix on product claims
  • Trust signals (authors, about, policies)

Week 4

Authority and recheck prep
  • Third-party profile updates
  • Citation-ready proof assets
  • Document baseline for later retest
PACKAGE LADDER

Easy path from free preview to ongoing work

You are not buying a PDF or another automated score.

See how AI search describes your brand. Fix what is limiting visibility. Build the foundation to be recommended.

BriefAuditSprintPartner
01

AI Visibility Opportunity Brief

Free preview

A manually reviewed sample that proves specific visibility problems without the full audit or roadmap.

Best for · Qualified B2B sites considering work in the next 30–90 days

You get

  • 5 buyer questions
  • Sample ChatGPT / Gemini / Perplexity observations
  • 2 competitor comparisons
  • 3 evidence-backed issues
  • 1 description-accuracy example
  • 1 immediate recommendation + short video

Not included

  • Full 30-prompt audit
  • PDF + full evidence appendix
  • Implementation or live call
  • Guaranteed acceptance

Target: 2 business days after acceptance

Request free brief
02

Expert AI Visibility Audit

This sample

Expert-led diagnosis: how AI discovers, describes, compares, and recommends you—plus what to fix first.

Best for · Teams that need a commercial baseline before building or buying implementation

You get

  • 30 buyer-intent questions · up to 10 pages
  • ChatGPT, Gemini, Perplexity, Google AI (where accessible)
  • 3 competitors · mentions, citations, accuracy, SoV
  • Private web report + executive PDF + evidence appendix
  • Top 5 priorities + 30-day roadmap
  • Recorded executive briefing (async—no live strategy call)
  • 1 written clarification round within 7 days

Not included

  • Website / CMS implementation
  • Content production or PR outreach
  • Live workshops or unlimited revisions
  • Guaranteed rankings, citations, or revenue

Target: 5 business days after intake is complete

Start with free brief
03

AI Search Growth Sprint

Implement

Not another report—fix the highest-priority website, entity, and content gaps and set a recheck baseline.

Best for · Companies ready to implement after (or with) the Expert Audit

You get

  • Everything in the Expert Audit
  • Homepage + one commercial page rewrite/optimization
  • Schema batch + crawler/entity fixes in scope
  • 2 citation-ready content briefs + internal-link plan
  • Before/after log · ~30-day visibility recheck
  • Final handover call

Not included

  • Full redesign, migrations, custom apps
  • Backlink / PR campaigns
  • Unlimited revisions or scope creep
  • Outcome guarantees from third-party AI platforms

Target: 10 business days after access + intake

Start with free brief
04

AI Search Growth Partner

Ongoing

Monthly measurement + one or two defined execution lanes—not unlimited marketing.

Best for · After audit or sprint, when continuous visibility work is needed

You get

  • Core: monthly tracking + 1 execution lane + strategy call
  • Plus: broader tracking + 2 lanes + deeper research options
  • Lanes: Content · Page optimization · Tech/entity · Messaging
  • Monthly report, competitor movement, next-month priority

Not included

  • Auto rollover of unused capacity (unless agreed)
  • Major redesigns or custom development
  • Paid PR placement fees (quoted separately)
  • Guaranteed AI outcomes

3-month minimum · monthly cycle

Start with free brief
01

Evidence showing how AI systems currently represent the company

02

Competitive visibility intelligence

03

Clarity about what matters commercially

04

Implementation of the highest-priority improvements

05

A documented baseline and continuation plan

LoudScale helps B2B companies improve how they are discovered, described and recommended across AI search. We identify where competitors are winning, fix the website and entity signals holding the brand back, and build the content foundation required for long-term visibility. Commercial pricing and contracts are shared when fit is clear—this page focuses on structure and scope.

NEXT STEP

Get your own visibility sample

Request a free, manually reviewed AI Visibility Opportunity Brief for a qualified B2B website. Submission does not guarantee acceptance.

Request an Opportunity BriefExplore AI Search Audit