GEO AUDIT  ·  BRAND-ONLY

Black Duck.

A look at how Black Duck is described, positioned, and quoted inside Google's AI Overviews, the AI answer box at the top of search results, and where the brand shows up versus goes missing.

Siteblackduck.com
Where we lookedGoogle AI Overviews, US
Questions tested40 brand, category, and competitor queries
PreparedJune 16, 2026  ·  by AUQ
AI Visibility Score
31
out of 100. Critical Gap band. The brand has real organic presence but is almost entirely absent from AIO answers. Immediate structural content and entity work is required.
Verified AI Overview citations
3
Black Duck's brand is cited in 3 of the 37 AI-answer queries we tested.
AI answer trigger rate
92.5%
Google's AI answer box fires on 37 of 40 tracked queries.
Citation rate when AI answers
8.1%
Share of AI-answer queries where the brand is actually quoted.
EXECUTIVE SUMMARY

Black Duck scores 31 of 100 for AI Overview visibility. The work is closing the citation and identity gaps.

The brand has real organic presence but is almost entirely absent from AIO answers. Immediate structural content and entity work is required.

AI answers fire on 92.5% of tracked queries, yet Black Duck is quoted in only 8.1% of them. When it does appear, it sits Not determinable from API data.

AI Visibility Score
31
Critical Gap band
BarelyLowCompetitiveDominant
What's in the score
  • How often AI answers appear93 / 100
  • Your pages being quoted7 / 100
  • How AI describes the brand40 / 100
  • Inclusion in category answers25 / 100
  • Quality of placement when cited13 / 100
THREE FINDINGS THAT MATTER
01

The brand is missing from most of AI-answer queries

AIO triggers on nearly all category and brand queries (92.5% trigger rate). However, Black Duck is cited in only 3 of 37 AIO-present queries (8.1% inclusion rate). This is the primary performance gap. The brand ranks organically on high-volume AIO keywords but is not pulled into the AIO answer box.

02

AI misreads the category

Partial. AIO primarily frames Black Duck as an SCA and open source management tool. The broader AppSec platform identity (Polaris, ASPM, DAST, Fuzz) is underrepresented.

TOP THREE MOVES
01

Expand structured entity markup for full platform breadth (SAST, DAST, ASPM, Fuzz, AI code security) beyond SCA focus

Impact High · effort Medium · 30 days

02

Create dedicated category hub pages for AppSec platform comparisons and threat modeling that AIO actively cites

Impact High · effort Medium · 45 days

03

Develop high-authority glossary and comparison content on owned domains targeting high-value missed keywords (SCA tools, AppSec management, threat modeling)

Impact High · effort Medium · 60 days

Work with AUQ

We don't hand you a report and walk away. We execute it.

AUQ is an execution team, not a consultancy. We ship the fixes, content, and citations this audit calls for — and we work month-to-month, so we re-earn the engagement every 30 days.

Start with a month → No long-term contracts
CONTENT AND ENTITY COVERAGE

The topics that matter to the brand, and where it shows up in AI answers today.

TopicPresence in AI answersBuyer intent
Software Composition AnalysisOwneddiscovery
Open source license complianceOwnedsolution-aware
Vulnerability reportingOwnedsolution-aware
Black Duck scanning and toolsOwnedbrand-specific
SAST and code securityPartialproduct awareness only
SBOM and Software Bill of MaterialsPartialdiscovery phase
Application security posture managementPartialdiscovery phase
Security risk assessmentPartialsolution-aware
Best SAST tools listsInvisiblediscovery
Best AppSec platforms comparisonsInvisibleconsideration
DevSecOps toolchain recommendationsInvisiblesolution-aware
Container security scanningInvisiblediscovery
Fuzz testing toolsInvisiblediscovery
AI code securityInvisibleconsideration
EU CRA compliance guidanceInvisibleproblem-aware
M and A due diligence securityInvisibleconsideration
Threat modeling toolsInvisiblediscovery
Buyer-journey coverage

Problem Aware. Weak. Black Duck does not appear in how to secure open source or how to detect third-party vulnerabilities AIO answers.

Solution Aware. Moderate. Present in SCA-specific queries but absent from broader AppSec platform queries.

Alternatives. Unknown until Layer 3 prompts are fired against live AIO. Likely present as a named alternative in some SCA queries.

IDENTITY IN AI OVERVIEWS

How the brand describes itself, and how Google's AI describes it.

What the brand says about itself

Application Security Testing, SCA, SAST, DAST, IAST, ASPM, Fuzz Testing

One unified AppSec platform (Polaris) covering SAST, SCA, DAST, IAST, ASPM, and fuzz testing. Agentic AI security (Signal, ContextAI). 20+ years of intelligence. 4,000+ organizations.blackduck.com, 2026

Differentiators it leads with: Unified Polaris platform covering SAST, SCA, DAST, IAST, ASPM, and fuzz testing, Agentic AI security (Signal, ContextAI), 20+ years of security intelligence, 4,000+ customer organizations.

What Google's AI says

Application security and software composition analysis (SCA)

Application security and software supply chain management platform
Open source vulnerability detection and license compliance tool
The core gap
Partial. AIO primarily frames Black Duck as an SCA and open source management tool. The broader AppSec platform identity (Polaris, ASPM, DAST, Fuzz) is underrepresented.
Words AI uses for the brand
ComprehensiveAutomatedEnterprise
The brand's own pillars that AI omits
Static Application Security Testing (SAST / Coverity)Dynamic Application Security Testing (DAST / Seeker)Application Security Posture Management (ASPM)Fuzz Testing (Defensics)AI-generated code security (Signal, ContextAI)M and A due diligenceEU Cyber Resilience Act complianceContainer security
AI OVERVIEW PERFORMANCE

Where the brand shows up in Google's AI, and the high-value queries it is missing.

Tracked keywords
40
Brand, category, and comparison queries analyzed.
AI answers fired
37
92.5% of tracked queries trigger an AI Overview.
Times brand cited
3
8.1% citation rate when AI answers.
Total brand mentions
29
Across all observed AI responses.
HIGH-VALUE QUERIES WHERE THE BRAND RANKS BUT IS NOT QUOTED
QueryVolumeOrganic rankWhat happens
application security management4400#2Brand ranks organically in position 2 but receives zero AIO citations
software composition analysis tools1400#2Core category keyword with strong organic rank but no AIO inclusion
threat modeling3600#4High-volume category query with no AIO citation despite organic visibility
continuous integration tools5100#6Platform relevance not surfaced in AIO answers
static application security testing1000#2Coverity product ranks organically but not cited by AIO
fuzz testing1400#4Defensics product ranks organically but absent from AIO
Case Studies

This playbook has already worked. Here's the proof.

Executed by AUQ for B2B SaaS teams with the same gaps this audit found.

WHERE GOOGLE'S AI GETS ITS ANSWERS

The sources Google's AI cites in this category, and what it tells you about earning citations.

Domain AI citesPagesContext
en.wikipedia.org2Brand history and SCA definitions
www.prnewswire.com1PE acquisition announcement, shapes AIO brand narrative
investor.synopsys.com12017 Synopsys acquisition news still surfacing
ibrahims.medium.com1Third-party Medium post explaining Black Duck
www.aikido.dev1Competitor blog (Snyk vs Black Duck) cited by AIO
Reading
Black Duck pages are cited but from narrow product categories (SCA, homepage, docs). High-value glossary and blog pages that drive organic traffic are not being pulled into AIO. Third-party pricing sources and competitor blogs are cited instead, creating authority and accuracy risks.
AI-REVEALED PEERS

The competitive set drawn by Google's AI itself. Observed, not chosen.

Layer 3 alternative prompts have not been fired against live AIO in this run. Peers below are inferred from external domains AIO cites and category landscape.

PeerHow AI frames it
SnykDirectly named in AIO-cited comparison article (aikido.dev). SCA and application security category peer.
SynopsysHistorical parent company, still referenced in AIO brand-history responses as primary owner (2017 acquisition).
Mend (formerly WhiteSource)Standard SCA category peer, expected in best-tools AIO responses for open source security.
VeracodeStandard AppSec platform peer, expected in enterprise SAST/DAST AIO responses.
CheckmarxStandard SAST peer, frequently cited in AppSec AIO lists for static testing.
Key observation
Confirmed peer presence requires live Layer 3 AIO pulls. However, inferred peers are standard AppSec category players based on typical AIO answer patterns.
90-DAY ROADMAP

Three sprints from first wins to compounding category presence.

Month 1  ·  Days 1 to 30
  • Implement entity disambiguation schema.org markup for 'black duck' brand vs natural phenomena
  • Audit and remediate pricing page sourcing to redirect AIO citations to blackduck.com
  • Conduct content inventory: map all SCA, SAST, DAST, ASPM, and Fuzz pages to identify citation-ready structured content
  • Create glossary landing page targeting 'software composition analysis' and 'open source security' with deep internal linking
Month 2  ·  Days 31 to 60
  • Develop full-platform product comparison hub (Polaris vs Snyk, Mend, Veracode, Checkmarx) with schema.org OfferComparison markup
  • Expand docs.blackduck.com technical content on threat modeling, SAST integration, and container security scanning
  • Create AppSec platform positioning guide and best practices content targeting 'application security management' (4400 monthly volume, position 2)
  • Publish SBOM generation and EU CRA compliance guides on owned domains with rich structured data
Month 3  ·  Days 61 to 90
  • Promote newly created comparison and category hub content via community.blackduck.com and documentation subdomains
  • Conduct post-sprint AIO re-audit on tracked keywords to measure citation rate lift
  • Iterate on underperforming pages based on AIO feedback (e.g., expand content on fuzz testing, AI code security topics)
  • Establish ongoing AIO monitoring cadence and quarterly content refresh cycle