GEO AUDIT  ·  BRAND-ONLY

Convex.

A look at how Convex 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.

Siteconvex.dev
Where we lookedGoogle AI Overviews, US
Questions tested40 brand, category, and competitor queries
PreparedJune 18, 2026  ·  by AUQ
AI Visibility Score
11
out of 100. Critical band. The brand is nearly invisible in Google AI Overviews. Its name collides with a common English word, causing systematic category displacement. Immediate structural intervention is required.
Verified AI Overview citations
3
Convex's brand is cited in 3 of the 15 AI-answer queries we tested.
AI answer trigger rate
37.5%
Google's AI answer box fires on 15 of 40 tracked queries.
Citation rate when AI answers
7.5% of tracked keywords; 20.0% of AIO-triggered keywords
Share of AI-answer queries where the brand is actually quoted.
EXECUTIVE SUMMARY

Convex scores 11 of 100 for AI Overview visibility. The work is closing the citation and identity gaps.

The brand is nearly invisible in Google AI Overviews. Its name collides with a common English word, causing systematic category displacement. Immediate structural intervention is required.

AI answers fire on 37.5% of tracked queries, yet Convex is quoted in only 7.5% of tracked keywords; 20.0% of AIO-triggered keywords of them. When it does appear, it sits Insufficient data. The three inclusion instances are on branded TypeScript tutorial keywords where convex.dev appears incidentally..

AI Visibility Score
11
Critical band
BarelyLowCompetitiveDominant
What's in the score
  • How often AI answers appear15 / 100
  • Your pages being quoted8 / 100
  • How AI describes the brand5 / 100
  • Topic coverage breadth15 / 100
  • Inclusion in category answers13 / 100
THREE FINDINGS THAT MATTER
01

The brand is missing from most of AI-answer queries

Brand is effectively invisible in AIO. Its own brand keyword returns geometry content. Category and comparison queries do not surface the brand. All three citations are incidental TypeScript tutorial appearances, not category or product citations.

02

AI misreads the category

Complete. AIO associates 'convex' with the mathematical term meaning 'curves outward.' Geometry, optics, and anatomy content dominates AIO responses. No software or developer tool category is detected.

TOP THREE MOVES
01

Create disambiguation landing page targeting 'Convex backend' or 'Convex database' as primary brand keywords to compete against geometry content

Impact High · effort Medium · Days 1-15

02

Develop category-specific content optimized for AIO: 'Best backend for AI agents', 'Real-time database comparison', 'TypeScript serverless platform'

Impact High · effort High · Days 1-30

03

Secure third-party developer publication citations and guest posts on high-authority software dev blogs to establish non-brand citation diversity

Impact Medium · effort High · Days 15-60

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
TypeScript tutorialsPartialproblem-unaware - generic how-to content
Backend as a serviceInvisiblesolution-aware
Real-time databaseInvisiblesolution-aware
AI agent backend infrastructureInvisibleproblem-aware to solution-aware
Serverless TypeScript backendInvisiblesolution-aware
Firebase alternativesInvisiblesolution-aware
Supabase alternativesInvisiblesolution-aware
Reactive databaseInvisiblesolution-aware
Authentication for web appsInvisibleproblem-aware to solution-aware
Fullstack TypeScript developmentInvisibleproblem-unaware to solution-aware
Buyer-journey coverage

Problem Aware. No presence on queries like 'how to build backend for AI agents' or 'how to add real-time sync to a web app.' Brand has no problem-framing content visible to AIO.

Solution Aware. No presence on 'best backend as a service' or 'best BaaS for TypeScript' queries. Despite having dedicated comparison pages that rank organically, brand is not cited on alternative/comparison keywords.

Alternatives. Not surfaced on 'Supabase alternatives' or 'Firebase alternative' despite having dedicated comparison pages that rank organically. Category displacement prevents AIO from recognizing brand as a viable software solution.

IDENTITY IN AI OVERVIEWS

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

What the brand says about itself

Backend as a service, AI agent infrastructure, TypeScript backend platform

The backend building blocks for your agents. A TypeScript-native backend platform with a reactive database, built-in auth, cron jobs, file storage, and serverless functions.convex.dev, 2026

Differentiators it leads with: TypeScript-native backend platform, Reactive database with real-time sync, Purpose-built for AI agent infrastructure, Built-in authentication, serverless functions, cron jobs in one platform, File storage and vector search included, Self-hosting option for compliance-sensitive workloads.

What Google's AI says

Mathematical and geometric concept (convex vs. concave)

Geometric shape concept (convex vs. concave, curves outward)
Optical property (lens types, telescope history)
The core gap
Complete. AIO associates 'convex' with the mathematical term meaning 'curves outward.' Geometry, optics, and anatomy content dominates AIO responses. No software or developer tool category is detected.
Words AI uses for the brand
none surfaced
The brand's own pillars that AI omits
Reactive database capabilityReal-time sync functionalityTypeScript-native architectureBuilt-in authentication (80+ OAuth integrations)Serverless functions and cron jobsFile storageVector searchAI agent backend support
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
15
37.5% of tracked queries trigger an AI Overview.
Times brand cited
3
7.5% of tracked keywords; 20.0% of AIO-triggered keywords citation rate when AI answers.
Total brand mentions
3
Across all observed AI responses.
HIGH-VALUE QUERIES WHERE THE BRAND RANKS BUT IS NOT QUOTED
QueryVolumeOrganic rankWhat happens
convex45000#AIO triggers but cites geometry content, not the brandPrimary brand keyword returns non-software results
supabase alternatives400#AIO triggers but brand is not citedHigh-value comparison keyword; brand has dedicated comparison page that ranks organically but does not generate AIO citations
supabase alternative350#AIO triggers but brand is not citedHigh-value comparison keyword; brand has dedicated comparison page that ranks organically but does not generate AIO citations
what is convex700#AIO triggers and returns geometry definition; brand is absentDirect brand question returns non-software results
convex pricing500#AIO triggers but brand is not citedIntent-rich branded keyword with zero AIO inclusion
npm run dev2000#AIO triggers on a generic dev keyword where brand has a top-ten rankBrand has organic visibility but no AIO citation despite high-traffic keyword
ai town2200#AIO triggers but brand is not citedUse-case keyword related to AI agent infrastructure; brand is absent
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.orgGeometry and mathematical concepts
www.youtube.comGeometry and optics content
www.reddit.comGeometry discussions
www.merriam-webster.comDictionary definitions of 'convex'
www.healthline.comAnatomy and health content
my.clevelandclinic.orgMedical and anatomical references
www.britannica.comEncyclopedia entries for geometry and optics
Reading
All observed external citations are for geometry, anatomy, optics, and dictionary content. None are developer-focused or software-category sources. This confirms the category displacement problem is systemic in AIO. Brand-owned pages are never cited.
AI-REVEALED PEERS

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

A full prompt-set run against advanced category and comparison prompts would be required to surface the complete competitive landscape as AIO perceives it. Current data reflects systematic category displacement preventing peer recognition in AIO.

PeerHow AI frames it
SupabaseConvex has dedicated comparison page targeting Supabase. Supabase appears in AIO on 'supabase alternatives' and 'supabase alternative' queries where Convex is absent. Supabase is referenced on convex.dev/compare/supabase.
FirebaseConvex has dedicated compare page targeting Firebase. Firebase is the implied peer on 'Firebase alternative for TypeScript' category queries.
SQL databases (as category)Convex positions against SQL as a category on its compare page.
Key observation
AIO-revealed peer data is partial because brand-radar AI response data was dominated by non-software queries. Supabase and Firebase are recognized as software peers only through site extraction (comparison pages on convex.dev), not from AIO responses themselves.
90-DAY ROADMAP

Three sprints from first wins to compounding category presence.

Month 1  ·  Days 1 to 30
  • Audit and map all current organic rankings and AIO absences against buyer journey stages
  • Create 'Convex backend' and 'Convex database' disambiguation pages with AIO-optimized structure
  • Apply schema markup and entity disambiguation to homepage and core product pages
  • Draft 3-5 category-focused content pieces targeting 'backend for AI agents', 'real-time database', 'TypeScript serverless'
  • Establish baseline metrics for AIO trigger rate, brand citation rate, and owned-page citation rate
Month 2  ·  Days 31 to 60
  • Publish first wave of category-answer content with internal linking to core product pages
  • Initiate outreach to 5-10 high-authority developer publications for guest posts or case studies
  • Implement structured data improvements on comparison pages and add FAQ schema
  • Monitor AIO inclusion rate on new category keywords vs. baseline
  • Launch internal linking strategy to funnel geometry-collision traffic toward software product pages
Month 3  ·  Days 61 to 90
  • Analyze performance of first-wave category content and iterate on highest-impact pieces
  • Expand third-party citation footprint with published guest posts and featured case studies
  • Refine AIO-optimized page architecture based on early performance signals
  • Develop product differentiation content that explicitly positions against Firebase, Supabase, and SQL databases
  • Establish sustainable cadence for category content and citation-generation activities