GEO AUDIT · BRAND-ONLY

Accuris.

A look at how Accuris 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.

Siteaccuristech.com

Where we lookedGoogle AI Overviews, US

Questions tested40 brand, category, and competitor queries

PreparedJune 3, 2026 · by AUQ

AI Visibility Score

out of 100. Critical band. The brand is effectively invisible in Google AI Overviews. Immediate structural content work is required.

Verified AI Overview citations

Accuris's brand is cited in 0 of the 16 AI-answer queries we tested.

AI answer trigger rate

40%

Google's AI answer box fires on 16 of 40 tracked queries.

Citation rate when AI answers

Share of AI-answer queries where the brand is actually quoted.

EXECUTIVE SUMMARY

Accuris scores 12 of 100 for AI Overview visibility. The work is closing the citation and identity gaps.

The brand is effectively invisible in Google AI Overviews. Immediate structural content work is required.

AI answers fire on 40% of tracked queries, yet Accuris is quoted in only 0% of them. When it does appear, it sits N/A. Zero citations confirmed..

AI Visibility Score

Critical band

BarelyLowCompetitiveDominant

What's in the score

How often AI answers appear6 / 100
How AI describes the brand0 / 100
Quality of placement when cited0 / 100
Topic coverage breadth3 / 100
Inclusion in category answers0 / 100
Your pages being quoted3 / 100

THREE FINDINGS THAT MATTER

The brand is missing from most of AI-answer queries

Accuris brand and product names appear in organic search results (positions 1-3) for 16 of 40 tracked keywords that trigger AIO panels. Zero citations confirmed in those AIO answers.

AI misreads the category

AIO has no discernible identity picture of Accuris. The brand cannot be scored on category placement, tone, or accuracy. Content structure is the primary blockers engineering standards, supply chain, and component sourcing pages are not formatted for AIO citation despite organic visibility.

TOP THREE MOVES

Create AIO-citable answer-first pages for top-opportunity topics: engineering standards search, electronic supply chain management, and part obsolescence

Impact High. Each topic has 40%+ AIO trigger rate with brand ranking top-2 organically · effort Medium. Requires restructuring existing blog/product content with definitions, process steps, and clear citations · 30 days

Build pillar page for requirements extraction automation as a new ranked entity (Accuris Thread currently ranks for zero high-intent queries)

Impact High. Direct solution match with likely 30%+ monthly query volume · effort Medium. New page creation plus internal linking from Engineering Workbench pillar · 30 days

Restructure store pages for specific standards (NASM33540, GMW3420, IPC-1782, API 607 series) to include definitional headers and external domain linking

Impact Medium. Currently rank well but blocked from citation by transactional page structure · effort Low. Template-based restructuring across 20-30 pages · 14 days

CONTENT AND ENTITY COVERAGE

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

Topic	Presence in AI answers	Buyer intent
Engineering standards search and access	Invisible	problem-aware and solution-aware
Electronic component sourcing	Invisible	solution-aware
Part obsolescence management	Invisible	solution-aware
Specific aerospace and automotive standards (NASM33540, GMW3420, IPC-1782, API 607, API 661, API 641)	Invisible	solution-aware
Requirements extraction and automation	Invisible	solution-aware
Defense supply chain security	Invisible	solution-aware
BOM compliance and risk management	Invisible	solution-aware

Buyer-journey coverage

Problem Aware. Invisible. AIO does not surface Accuris for problem-level queries (how to manage compliance, how to reduce supply chain risk).

Solution Aware. Invisible. AIO does not cite Accuris for solution-category queries (engineering standards software, supply chain intelligence tools).

Alternatives. Unknown. Layer 3 prompts were not yet executed against live AIO at time of analysis. AIO-revealed competitors to be populated after live data pull.

IDENTITY IN AI OVERVIEWS

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

What the brand says about itself

Engineering and Supply Chain Intelligence

The Intelligence Backbone for Engineering - Powering the Engineers Who Power the World. Turns complex standards and supply chain data into actionable answers. Reduces risk, eliminates rework, and accelerates time-to-market. Core product suites: Engineering Intelligence (Engineering Workbench, Accuris Thread, Goldfire, ESDU), Supply Chain Intelligence (Parts Intelligence, BOM Intelligence, PCN Intelligence, Parts API, Parts Content Services, Haystack Gold), and Specialized Solutions (VDI Compliance Insights, OHSIS, Construction Information Services). Serves 6,500+ industry leaders across aerospace, defense, electronics, manufacturing, construction, government, automotive, energy, and medical device sectors.accuristech.com, 2026

Differentiators it leads with: 2.8M+ standards from 400+ SDOs indexed, 1.2B+ electronic components indexed, 30% reduction in time finding answers, 75% less effort maintaining compliance, 60% improvement in handover quality, Custom pricing model with no preset packages.

What Google's AI says

Unknown. AIO has not surfaced Accuris in any tracked category query.

The core gap

Words AI uses for the brand

none surfaced

The brand's own pillars that AI omits

Zero brand mentions across all 40 tracked keywordsNot appearing in category answer panels despite organic rankings at positions 1-3Product-specific terms (Accuris Thread, Haystack Gold, BOM Intelligence) not surfaced as distinct entitiesNo positioning relative to competitive category (engineering standards platforms, supply chain intelligence tools, technical information management)

AI OVERVIEW PERFORMANCE

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

Tracked keywords

Brand, category, and comparison queries analyzed.

AI answers fired

40% of tracked queries trigger an AI Overview.

Times brand cited

0% citation rate when AI answers.

Total brand mentions

Across all observed AI responses.

HIGH-VALUE QUERIES WHERE THE BRAND RANKS BUT IS NOT QUOTED

Query	Volume	Organic rank	What happens
engineering standards	High	#Organic rank 2	AIO triggers; brand ranks top 2 but is not cited
electronic supply chain	High	#Organic rank 2	AIO triggers; brand blog ranks top 2 but is not cited
part obsolescence	Medium	#Organic rank 2	AIO triggers; brand ranks top 2 but is not cited
nasm33540	Medium	#Organic rank 1 (store page)	AIO triggers; store page ranks 1 but is not cited. Transactional format is the block.
gmw3420	Medium	#Organic rank 1 (store page)	AIO triggers; store page ranks 1 but is not cited
how to extract requirements from engineering documents	Medium-High	#No current ranking	Accuris Thread is a direct solution. Query likely triggers AIO but brand does not rank or appear.
BOM compliance software	Medium	#No current ranking	BOM Intelligence is a named product. Query likely triggers AIO but brand does not rank.
defense supply chain	Low-Medium	#No current ranking	Haystack Gold is unique in market. Query likely triggers AIO but product is invisible.

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.

1,000+ Fraud.net AI citations earned in 6 months through GEO prompt research and content automation. Read the case study → +173% Microblink Organic traffic growth from technical SEO, content automation, and GEO-focused linkbuilding. Read the case study → +30,000 AKOOL Visits in 6 months via technical optimizations and content strategy we executed end-to-end. Read the case study → +200% DeepInfra Technical blog traffic growth from a blog redesign, author training, and SaaS linkbuilding. Read the case study →

Get results like these for Accuris → See all case studies

WHERE GOOGLE'S AI GETS ITS ANSWERS

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

Reading

No external domain citation data extracted from current data pull. Brand Radar returned zero citation records for Accuris across google_ai_overviews_keywords source. A targeted Brand Radar cited-domains query against the category entity set (engineering standards, supply chain intelligence, component sourcing) is recommended to map which domains AIO cites and what content patterns drive citations.

AI-REVEALED PEERS

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

When Accuris alternatives prompts fire through Brand Radar (is there an Accuris alternative? what competes with Accuris?), capture which brands AIO names. This will reveal competitive set and citation patterns.

Peer	How AI frames it
IHS Markit legacy / SAI Global	Engineering standards platforms - expected competitive set
BSI Knowledge	Engineering standards platforms - expected competitive set
SiliconExpert	Supply chain intelligence tools - expected competitive set
Z2Data	Supply chain intelligence tools - expected competitive set
Supplyframe	Supply chain intelligence tools - expected competitive set
PTC Windchill	Technical information management - expected competitive set
Siemens Teamcenter	Technical information management - expected competitive set

Key observation

Peer data not yet populated. Live AIO data pull required on Layer 3 alternatives and comparison prompts.

90-DAY ROADMAP

Three sprints from first wins to compounding category presence.

Month 1 · Days 1 to 30

Week 1-2: Audit top 3 high-opportunity pages (engineering standards, part obsolescence, electronic supply chain) for AIO citation blockers. Document current structure vs. answer-first requirements.
Week 2-3: Create or restructure 3 pillar pages with definition + process + external citations + schema markup. Target publication by day 21.
Week 3-4: Create requirements extraction (Accuris Thread) entry page and link from main navigation. Deploy by day 28.
Week 4: Internal linking audit. Update homepage, product pages, and blog to link to new/restructured answer pages.

Month 2 · Days 31 to 60

Week 5-6: Restructure 20-30 store pages for specific standards (NASM, GMW, IPC, API series) using template approach. Add definitional header, process context, and external resource links. Target batch completion by day 45.
Week 6-7: Execute Brand Radar Layer 3 alternatives pull. Analyze which competitors appear in AIO answers, what content structures drive citations, and map competitive positioning.
Week 7: Incorporate competitive insights into product content. Update Engineering Workbench and supply chain product pages with comparative context where appropriate.
Week 8: Mid-review checkpoint. Pull updated AIO trigger rates and brand citation rates via Brand Radar on subset of 10 tracked keywords.

Month 3 · Days 61 to 90

Week 9: Execute Haystack Gold, BOM Intelligence, and Accuris Thread entity optimization. Create or enhance product-specific pages with category context and third-party validation.
Week 9-10: Schema markup audit across new/restructured content. Ensure Article, Product, FAQPage, and Thing entities are correctly marked. Test in Rich Results validator.
Week 10-11: Blog content audit. Identify 5-10 high-ranking blog posts that lack citation but have AIO trigger potential. Restructure with answer formats and external linking.
Week 12: Full audit cycle. Run complete Brand Radar Brand Citation assessment on all 40 tracked keywords. Measure citation rate, inclusion count, position, and competitive presence. Document delta from baseline (0%) and project toward 15% 90-day target.