Know exactly where
your SaaS stands.
Run any project through a five-dimensional scorecard and get an AI growth report on top. Health, content, authority, organic and hygiene signals, competitor map, AI visibility check and MRR benchmark. In about 60 seconds.
5
Scorecard Dimensions
9
AI Report Sections
60s
Time to Insight
From URL to growth plan in three steps.
Connect your domain
Just type your URL. No tags to install, no integrations, no waiting on a team.
We crawl every signal
Health, authority, content, organic and hygiene are pulled from five independent sources and cross-checked.
AI turns data into a plan
A nine-section growth report covering strengths, weaknesses, competitors, AI visibility, MRR benchmark and what to do next.
A real run, end to end.
This is what an actual analysis looks like. The numbers below come from a self-run on shubhq.com (SEO & growth platform, growth stage).
Above S3 threshold. Credible foundation, real growth gaps.
Category Breakdown
Every metric an investor would ask about.
Each card is an exact slice of the live scorecard. Numbers shown are from the shubhq.com self-run.
Health & Technical
Crawlability, speed, infrastructure
Authority & Traffic
Backlinks, domain power, organic
Content & Hygiene
Publishing rhythm, freshness
Tier read
Solid technical floor (Health 85), but content output and organic acquisition are the obvious blockers. The AI report opens with that.
Your position vs the rest of the category.
Authority Score on the X axis, Organic Visibility on the Y axis. Your project is plotted as a single highlighted bubble. The dominant players in your niche fill the top-right cluster, smaller rivals scatter through the middle.
The chart instantly answers two questions every founder asks: how big is the gap, and which axis closes it fastest. In this run, organic visibility is the dominant lever. Pushing content output up moves the bubble more than chasing more backlinks.
Competitor Map
Live in your dashboard →shubhq.com (DR 26, 12 daily organic visits) sits in the lower-left quadrant. There is measurable headroom on both axes, but the steeper slope is organic.
The part agencies charge $1,500 for.
Once the scorecard is ready, the AI layer reads every signal and writes a structured report. Executive summary, key insight, strengths, weaknesses, opportunities and risks. Default writer is Claude Sonnet 4.6; Pro users can swap in any of 5 frontier models.
ShubHQ is an independent product. We access third-party AI models (Claude, GPT, Gemini, Grok, Llama) through their official APIs to power this report. ShubHQ is not affiliated with, endorsed by, or sponsored by Anthropic, OpenAI, Google, xAI, or Meta.
Executive Summary
AI-generated, ~150 words
With a 5.6-year domain, 387 indexed pages and Moz DA 26, shubhq.com has a credible technical foundation but sits well below its potential. Only ~12 daily organic sessions and $1,200 MRR. Content output has accelerated in the last 90 days (8 new posts) but is starting from a base of just 9 total, and brand presence in the SEO & growth platform space is essentially absent versus established incumbents like Ahrefs and Semrush.
Key Insight
The fastest unlock is a comparison-content cluster (e.g. "shubhq vs Ahrefs", "Semrush alternatives") plus a vertical pricing tier. Both close the organic and monetization gap simultaneously, instead of attacking them in series.
Strengths
- • 5.6-year domain age + 387 indexed pages = trustworthy technical base
- • DR 26, 422 referring domains, Moz spam score 5/100
- • 8 new posts in the last 90 days shows the content engine just started
Weaknesses
- • Only 12 daily organic sessions, 144 blog visits in 28d
- • Total of 9 blog posts, content base too thin to compound
- • Almost no social or PR signal (3 shares, 50 impressions / 30d)
Opportunity Zones
- • Comparison content: "Ahrefs alternatives", "Semrush vs shubhq"
- • Bottom-up pricing tier for indie founders Ahrefs ignores
- • AEO / GEO content cluster, an underserved keyword space
Risk Factors
- • Single channel dependency (organic search) is fragile
- • Large incumbents (Ahrefs, Semrush) own SOV and brand recall
- • Slow content velocity blocks compounding effects
Data Quality Score
MRR, organic traffic, content and authority signals are present. User count, conversion rate, churn, LTV and CAC are missing, so full cohort and unit-economics analysis can't run yet. Add Your Data →
Where you stand. What to attack.
The AI report names your real competitors, sizes them, and points at the differentiation angles that are actually open in your category.
Top Competitors
Ahrefs
LargeCategory leader on backlinks and keyword data. Deep crawler, premium pricing, agency and enterprise default.
Semrush
LargeAll-in-one marketing suite. Strong on competitive research, paid ads, content and rank tracking at scale.
Moz
MediumOriginal DA / spam score authority. Strong educational brand, lighter modern feature surface.
SimilarWeb
MediumBest-in-class for traffic and audience intelligence at the domain level. Premium B2B positioning.
Ubersuggest
SmallAffordable entry-level SEO tool tied to the Neil Patel brand. Strong with solopreneurs and SMB founders.
Your Position
shubhq.com sits as a niche, indie-friendly entrant with DR 26 and 422 referring domains, but is significantly behind Ahrefs, Semrush and Moz on organic traffic and brand awareness. Pricing and bottom-up positioning have differentiation potential, but that story is not yet clearly told on the website, in content, or in messaging.
Differentiation Opportunities
- Indie-founder pricing under $30/mo, a tier Ahrefs and Semrush refuse to serve
- AEO / GEO native scoring (AI Visibility Assessment) the incumbents do not offer yet
- Bundled growth workflow (database + content + scorecard) instead of pure data tooling
Market Gaps
Most incumbents are built for SEO specialists at agencies and enterprises. Solopreneurs and small SaaS teams pay for a fraction of features they ever use. A well-priced, opinionated, workflow-first growth platform that bundles AEO, scorecard and a curated link database is the visible market gap, especially for indie B2B founders.
How AI tools perceive your brand.
ChatGPT, Claude and Gemini are the new top-of-funnel. The report measures how likely they are to recommend your product when a buyer asks about your category, and tells you exactly what to publish to move that needle.
Given the current low organic traffic, limited content and constrained English-language marketing surface, frontier models like GPT 5.4 and Claude Sonnet 4.6 are unlikely to recommend shubhq.com over established competitors at this stage.
Improvement Strategies
- Produce English, long-form, data-driven comparison content: "Ahrefs alternatives", "Semrush vs shubhq"
- Build a deep documentation, API guide and how-to base, the surface LLMs index most readily
- Get product reviews and comparisons published in indie founder communities, blogs and directories
Recommended Content for AI
Especially in English: detailed product documentation, API integration guides, competitor comparison pages (e.g. "Best SEO tools for indie founders"), customer case studies and feature / pricing tables. These are the formats LLMs cite most.
Tested Across 5 Frontier LLMs
ProGPT 5.4
OpenAI
Claude Sonnet 4.6
Anthropic
Gemini 3.5
Grok 4
xAI
Llama 4
Meta
Default analysis runs on Claude Sonnet 4.6. Pro plans unlock per-run model selection across all 5 frontier LLMs.
Three lenses on the same growth problem.
Each column is independently generated by the AI report and points at one specific lever: what to monetize, where to acquire, how to align product and channel.
Traction & Monetization
$1,200 MRR is modest for a 5+ year product, but it confirms a real paying segment exists. With an MRR target of $5,000 and ~200 paying users, ARPU sits near $25. A sustainable but small niche base. Without churn or LTV data, growth pacing is hard to predict; pricing test (indie tier + per-seat pricing) is the highest-leverage move next.
Acquisition
12 daily organic visits and 144 blog visits in 28 days say the bottleneck is acquisition. DR 26 and 422 referring domains imply solid latent authority, but only 9 indexed blog posts (vs 387 total pages) leave that authority unconverted. Social is essentially zero (~3 shares / 30d). The fastest unlock is paid + organic on indie-founder keyword clusters.
Product GTM Fit
Product-market fit is not yet fully expressed. Signals of a real, paying segment are present, but indie-specific value props, packaging and messaging are still generic. The gap is in the GTM layer: focused channel strategy (SEO content clusters, indie founder partnerships, marketplaces) and continuous content output to feed those channels.
Where you should be, and where you actually are.
Project Maturity Assessment
Expected Metrics
For a 5+ year, growth-stage SEO & growth platform, $5,000 to $20,000 MRR, 10,000+ monthly visits and hundreds-to-thousands of users are typical, especially for North American B2B / indie-founder-focused products.
Actual vs Expected
$1,200 MRR is ~24% of the $5,000 lower band. 12 daily organic visits is ~3 to 4% of the 300 to 400 expected. Content (9 posts) and social signal sit clearly below age-and-stage expectations.
Diagnosis
Low organic visibility, very thin content (just 9 posts, irregular cadence), missing indie-segment positioning, near-zero social and brand surface. DR 26 + 422 referring domains say the latent ceiling is higher than current traffic, but it isn't being converted with content.
Recommendation
For the first 3 months: indie-founder content clusters, ready-made starter packages and a simple self-serve trial. Design a paid conversion funnel and target North American niche indie communities, directories and partner networks.
MRR Benchmark & Industry Averages
Industry Benchmark
A typical 5+ year SaaS in SEO & growth tooling sits in the $5,000 to $20,000 MRR band; even for indie-focused niche players, $5,000 is considered a maturity floor.
Gap Analysis
$1,200 MRR vs $5,000 lower bound = a $3,800 absolute gap. Underlying drivers: low organic traffic, missing targeted partnerships for the indie segment, weak brand visibility.
Path to Target
~9 to 10% compound monthly growth needed to hit $5,000 MRR in 12 months. (1) Within 3 months: indie-specific packages + new pricing tier, (2) 6 months: indie-focused content + SEO to push organic from 12 to 80+ daily, (3) 12 months: 20 to 30 partnership / referral deals.
Expected Growth
8 to 12% monthly growth is achievable at this stage with aggressive positioning and channel focus.
60-second analysis
No setup, no integrations. Domain in, full report out.
5 dimensions, 1 score
Health, content, authority, organic and hygiene. Color-coded 0 to 100.
AI growth report
Executive summary, SWOR, competitor map, MRR benchmark and GTM plan.
AI visibility check
See whether GPT 5.4, Sonnet 4.6 and Gemini 3.5 recommend your product.
Every section of the report, at a glance.
Free to start. Cheap to keep using.
1 free analysis
every month, every project
No credit card required. Full scorecard, AI report by Claude Sonnet 4.6, competitor map. All included in the free monthly run.
500 Credits / run
when you need a second pass
Re-run the AI analysis anytime: after a release, a content batch, a pricing change. Credits are a monthly usage allowance bundled into every paid plan and reset with your billing cycle.
Pick your model
GPT 5.4 · Sonnet 4.6 · Gemini 3.5 · Grok 4 · Llama 4
Pro plans switch the report writer between 5 frontier LLMs per run. Useful for second opinions on big strategic calls.
Common questions, answered.
What data do you actually crawl?
We pull from 5 independent sources: Moz API (Domain Authority, Referring Domains, Spam Score), Google PageSpeed (Core Web Vitals mobile and desktop), WHOIS (domain age), your sitemap.xml (blog count, lastmod) and Search Console signals where available. No login required for the basic analysis.
Which AI model writes the report?
The default analysis is written by Claude Sonnet 4.6. Pro users can switch the writer to any of 5 frontier models per run: GPT 5.4, Claude Sonnet 4.6, Gemini 3.5, Grok 4 and Llama 4. Different models surface slightly different angles, which is useful for second opinions on big strategic calls. ShubHQ is an independent product and is not affiliated with, endorsed by, or sponsored by OpenAI, Anthropic, Google, xAI, or Meta -we access these models through their official APIs to power our custom analysis layer.
How accurate is the AI report?
The scorecard part is 100% data-driven, the same numbers a SEO tool would give you. The AI report layer turns those numbers into strengths, gaps, and recommendations. Adding your own MRR, churn and CAC data through "Add Your Data" jumps the qualitative accuracy by ~10x.
Can I add my own metrics (MRR, churn, CAC)?
Yes. There is a dedicated "Add Your Data" panel. The numbers are passed into the AI prompt for that single run only and are never stored. The Executive Summary, MRR Benchmark and GTM Fit sections become significantly sharper.
How often should I re-run the analysis?
Once a month is enough for most projects. Re-run sooner if you ship a major release, change pricing, publish a content batch, or run a backlink campaign. The delta vs your previous run is the most useful read.
Do you support non-English sites?
Yes. The crawl works on any language. The AI report is written in the same language as your project description, so a German, French or Spanish project gets a report in that language.
Is my data private?
Anything you type into "Add Your Data" lives only in that single AI request. It is not stored in our database, not used to train any model, and not shared with third parties. The crawl results are stored against your account so you can compare past runs.
How does the scorecard tier (S1, S2, S3 ...) work?
Tiers are bands on the 0 to 100 total score. S1 = 80+, S2 = 50 to 79, S3 = 25 to 49, S4 = below 25. Tiers exist so you can quickly compare projects without staring at the raw number.
Run your first analysis free.
Five-dimensional scorecard, competitor map, AI visibility check and a full growth plan, for any project, in 60 seconds. No credit card.