| Fact | Value |
|---|---|
| Domain | auditae.app |
| Category | AI visibility tracking for SaaS brands |
| Pricing | Usage-based; 0.01–0.25 USD |
| Pages crawled | 23 |
| Crawl date | 2026-08-30 |
Auditae Review: focused product, unfinished guidance (83/100)
Auditae scores 83/100, combining focused positioning for B2B marketers with strong design, writing, and technical foundations. The main weaknesses are an unclear direct path to pricing, incomplete self-serve help, and missing methodology detail that limits transparency.
Reviewed by SiteList Engine · 13 dimensions · published Reviewed on September 2, 2026
Quick facts
- Pages crawled
- 23
- Crawl date
- 2026-08-30
Executive summary
Auditae presents a focused product for B2B marketers who want to track whether AI engines cite their brand. First impressions and positioning score 92/100, audience and messaging 87/100, and design execution 94/100. Writing quality scores 88/100, with evidence-rich copy, named benchmarks, and transparent pricing comparisons.
The gaps are mostly about completing the decision journey. Usability scores 92/100, but the site lacks a direct path to pricing. Accessibility scores 65/100 because form labeling and contrast remain important issues. Docs and self-serve help score 42/100: /how-it-works and /methodology provide high-level explanations, but public developer guidance is limited. Review-content integrity (85/100) also identifies missing or boilerplate methodology blocks. Technical SEO is strong at 84/100; the sampled public URLs returned 200 and public pages were indexable with self-referencing canonicals.
- Overall score
- 83/100
- CLS
- 0.001
01 · First impressions & positioning — a specific AI citation question
AuditAE makes its audience and product premise clear immediately: it asks, ‘Does ChatGPT, Perplexity, or Google AI mention your brand — or your competitor?’ The 92/100 score reflects a falsifiable proposition aimed at B2B marketers, with citation tracking distinguished from traditional SEO. The hero places $0.05 per check and 100 free credits beside the claim. The pay-per-use model, including $5 in credits to start rather than a free trial, fits the stated offer. Keep this clarity, then add a focused explanation of AI visibility versus SEO.
- Dimension score
- 92/100
- Price proof point
- $0.05 per check
02 · Audience & messaging — B2B vocabulary meets pay-per-use proof
AuditAE speaks directly to B2B marketers concerned with brands, competitors, citations, and AI engines. Its 87/100 score is supported by a concrete hero question and product language such as ‘prompt × engine check’ and ‘$0.05 per check’. The site answers what AI visibility tracking is, how much it costs, and who the competitors are, while 100 free credits give the central promise a usable entry point. The pay-per-use model is a meaningful message distinction. Reinforce it with a comparison table using real numbers and a dedicated AI visibility versus SEO explanation.
- Dimension score
- 87/100
- Free-credit offer
- 100 free credits
03 · Usability — clear headings, but pricing takes extra navigation
AuditAE is visually clear, yet its main user journey does not take visitors directly from the homepage to pricing or signup. The primary CTA, ‘Run a free check — no signup →’, leads to a form, while pricing is reached through navigation or footer links. The 92/100 usability score therefore hides a consequential decision-path gap. The pricing page also presents key details in a table without strong hierarchy or callouts. Link the primary CTA to pricing or signup, and label options such as a single brand audit or weekly tracking so users can choose with less inference.
- Dimension score
- 92/100
- Primary CTA
- Run a free check — no signup →
04 · Accessibility — form labels and an unsupported contrast diagnosis
Accessibility scores 65/100 because core form issues create barriers in otherwise usable flows. Four inputs lack accessible names: the visible ‘Your brand’ label is not associated with the input through a label, aria-label, or aria-labelledby. The supplied design evidence describes #9CA3AF as an acceptable hero text value. Give every input an explicit accessible name, and darken the mobile hero subheading to #4B5563, as recommended by the design audit. The skip link should also be focusable with tabindex=0. These are small implementation changes with direct user impact.
- Dimension score
- 65/100
- Unlabeled inputs
- 4 instances
05 · Design execution — 94/100 with one mobile contrast drift
AuditAE’s design execution is a strong 94/100: the sampled interface uses a disciplined scale of colors, type, and spacing, with one H1 per page and consistent section padding. Mobile behavior is also sound: there is no horizontal scroll, tap targets are at least 44px, inputs are at least 16px, and sticky bars are compensated. The material exception is the mobile hero subheading, which fails contrast at 1:1. Darken it to #4B5563, standardize card-grid padding at 30px, and normalize form inputs to 16px.
- Dimension score
- 94/100
- Tap-target minimum
- 44px+
- Hero subheading contrast
- 1:1
06 · Performance — 1.6 s LCP and 0.001 CLS, with image priority to fix
AuditAE’s homepage loads with strong measured stability: LCP is 1.6 seconds and CLS is 0.001. The 85/100 performance score reflects remaining delivery opportunities rather than a weak experience. The mobile LCP is a hero image without preload or high fetch priority, and the supplied evidence says it is served at 4032px into a 750px slot. Add image dimensions, preload the hero image with fetchpriority=high, and lazy-load below-the-fold imagery. Review font-display and third-party scripts after the image path is corrected.
- LCP
- 1.6s
- CLS
- 0.001
- Hero image served width
- 4032px into a 750px slot
07 · Writing quality — 14–17-word sentences carry specific evidence
AuditAE’s writing quality scores 88/100 because its copy states product mechanics directly and supports claims with named studies and pricing comparisons. The homepage question gives the opening a clear buyer frame; sampled pages cite Ahrefs’ 863K keyword study, Semrush’s 17-month clickstream analysis, and $0.05 per check versus monthly retainers at Otterly and Profound. Main-page sentences average 14–17 words, keeping the material scannable. Add descriptive alt text to the three image tags missing it and vary the repeated CTA anchor text, which appears 42 times.
- Dimension score
- 88/100
- Sentence length
- 14–17 words average
- Repeated CTA anchors
- 42 occurrences
08 · Decision-support surfaces — prices are clear, recommendations are implicit
The pricing page gives buyers a useful pay-per-use frame—‘Pay per check. No subscription.’—and lists audit types and costs, earning 78/100. Its weakness is guidance: no audience segment receives a defended recommendation, so users must infer which option fits. Some table axes, including ‘Technical homepage audit’ and ‘WordPress post write’, are vendor-specific rather than decision-relevant. Add recommendations for distinct personas with reasons and an override path, then organize the comparison around cost, scale, integrations, and service level.
- Dimension score
- 78/100
- Pricing model statement
- Pay per check. No subscription.
09 · Review-content integrity — evidence is strong, methodology is thin
AuditAE’s blog content uses verifiable criteria and structured data, supporting an 85/100 integrity score. The gap is methodological transparency: the post ‘AI visibility vs. SEO: what changes in 2026’ names ‘Authority signals, Structured content, Topical depth’ but does not explain how those criteria were measured or sourced. Add a concise methodology block to each review or article that states the evidence basis and measurement approach. The absence of affiliate links is appropriate for the site’s stated non-affiliate business model and needs no correction.
- Dimension score
- 85/100
- Named criteria
- Authority signals, Structured content, Topical depth
10 · Risk & stability — a 307-to-200 soft 404 is the main resilience risk
The sampled evidence shows no sitewide noindex, robots blocking, redirect loops, mass 5xx errors, or client-side rendering dependence. Risk is instead concentrated in the guaranteed-nonexistent probe, which returned a 307 redirect and then a 200 sign-in response. That soft-404 pattern can blur invalid URLs and weaken diagnostics. Return a true 404 for unknown public paths, then verify several invalid paths after deployment. The domain was registered on 2026-05-05, and Wayback returned no CDX rows, so historical traffic conclusions remain unassessed.
- Dimension score
- 86/100
- Unknown-path response
- 307 redirect then 200 sign-in response
- RDAP registration date
- 2026-05-05
11 · Editorial QA of content — sourced claims, but invalid paths return 200
Auditae demonstrates strong editorial discipline: sampled articles cite named studies and dates, openings state their thesis promptly, and no high-risk AI drafting tells were detected. The 86/100 score incorporates the soft-404 and repeated-anchor findings as editorial QA inputs. Editorial QA also found repeated CTA anchor text across the sample. The 23 sampled public URLs returned 200; a guaranteed-nonexistent probe instead redirected to sign-in and ended at 200. Vary CTA anchors by destination while preserving their clarity.
- Dimension score
- 86/100
- Invalid-path status
- HTTP 200
- Repeated CTA anchors
- 42 occurrences
12 · Docs & self-serve help — 42/100
Auditae explains its concepts through /how-it-works and /methodology, and it provides /llms.txt plus seven homepage FAQ items. At 42/100, self-serve support remains incomplete: the public site has no API reference, MCP setup guide, searchable help portal, or dedicated task guidance, despite advertising REST API and MCP server access. Publish developer documentation with endpoints, payloads, authentication steps, and code samples. Then add a searchable help center organized around getting started, task guides, and reference material.
- Dimension score
- 42/100
- Homepage FAQ items
- 7
- Advertised access paths
- REST API / MCP server
13 · Technical SEO — 23 URLs crawl cleanly, one unknown path does not
AuditAE has a solid sampled technical foundation and scores 84/100: 23 sampled public URLs returned 200. Separately, a guaranteed-nonexistent probe redirected to sign-in and ended at 200. Public pages are indexable with self-referencing canonicals, robots.txt allows the public surface, and raw and rendered text match across the sample. The homepage contains 1,430 words, /how-it-works 1,306, and /pricing 1,325. The priority defect is the unknown path that redirects to sign-in and ends at 200. Return 404 for genuinely missing public routes, add appropriate image alt attributes, and shorten the 68- and 70-character titles identified in the sample.
- Crawled URLs
- 23
- Homepage raw word count
- 1,430
- Overlong titles
- 68 and 70 characters
Verdict — 83/100: focused product, unfinished guidance
Auditae earns 83/100 because the product proposition is specific and the public surface is polished.
The highest-value fixes are practical: give visitors a direct route to pricing, repair form-labeling and contrast issues, expand public developer guidance, and replace boilerplate methodology blocks with specific explanations. These changes would make a strong product easier to evaluate and use. Auditae is a good fit for B2B marketing teams tracking AI-generated brand visibility, particularly buyers who value a focused proposition and usage-based pricing.
- Overall score
- 83/100
- Design execution score
- 94/100
- Accessibility score
- 65/100
Methodology & data notes
This 13-dimension review uses the supplied public dimension score table and crawl evidence from 23 pages completed on 2026-08-30. The review covers positioning, messaging, usability, accessibility, design, performance, writing, decision support, content integrity, risk and stability, editorial QA, self-serve help, and technical SEO.
Google Search Console was not connected, so this review does not make a traffic-loss diagnosis. The supplied risk and stability assessment has medium confidence, and the domain registration date is 2026. Read the scoring approach at /methodology.
- Review dimensions
- 13-dimension review
- Pages crawled
- 23
- GSC connected
- false
Questions buyers actually ask
Who is Auditae for?
Auditae is built for B2B marketers who care about brand visibility in AI-generated answers, especially teams evaluating AI visibility tracking for SaaS brands.
What does Auditae do well?
It combines clear audience positioning with strong design execution, focused B2B copy, and a broadly crawlable technical surface.
What should Auditae improve?
The clearest improvements are providing a direct path to pricing, expanding public developer and self-serve help, and adding specific methodology blocks.
How fast is Auditae's homepage?
The homepage has 0.001 CLS in the supplied sample, though the LCP element is not preloaded or prioritized.
How was Auditae scored?
This is a 13-dimension review based on a crawl of 23 pages completed on 2026-08-30, plus the supplied public dimension score table and summaries.