AI Visibility · Tool Comparison
Clearscope and 3LA both grade content against a benchmark — but the benchmark differs. Clearscope grades your writing against top-ranking competitors with an A++ scoring system built for enterprise teams. 3LA grades across three layers, including whether AI models actually cite you. One enforces editorial quality. The other measures the full outcome, AI included.
Short version: Choose Clearscope if your priority is enterprise-grade content grading, consistent editorial standards across large teams, and deep integrations into Google Docs and WordPress. Choose 3LA if your priority is a three-layer score with live citation testing across five AI models and AI-crawler analysis. Clearscope enforces content quality. 3LA measures whether that quality reaches AI.
What Clearscope does well
Clearscope is a polished, enterprise-grade content-optimisation platform, and it is built for rigour. Its strength is setting and enforcing a consistent quality bar across large content teams.
The A++ content-grading system gives writers a clear, competitive benchmark for quality, analysing semantic relationships and topic-coverage depth rather than just keyword presence. Its competitive analysis shows exactly what top-ranking pages cover and how your content compares. Where Clearscope particularly shines is integration: its Google Docs and WordPress plugins deliver optimisation feedback directly inside the writing environment, so writers never leave their workflow. Content-inventory tracking and team reporting dashboards give managers performance visibility across the whole organisation.
Clearscope sits at the enterprise price point, starting around 170 USD per month, which is justified when you are standardising quality across many writers and clients. Where Clearscope is ahead of us today: the maturity of its grading model and the depth of its team-reporting and integration layer. If consistent editorial standards at scale are your priority, Clearscope delivers.
What 3LA does differently
Clearscope’s A++ grade answers one question: how good is this content relative to what currently ranks? That is a quality-and-coverage benchmark, and it maps closely to 3LA’s L1 (human) and L2 (search) layers.
3LA grades three layers. It covers the human and search quality Clearscope focuses on, then adds the AI layer (L3) — running live probes against ChatGPT, Claude, Gemini, Perplexity and Mistral to test whether your content is actually cited, and reading server logs to show which AI crawlers reach your pages. Clearscope makes sure your content meets a high editorial standard. 3LA measures whether that standard translates into actual AI visibility, which a grade alone cannot confirm.
Head-to-head
| Capability | Clearscope | 3LA |
|---|---|---|
| Content grading system | A++, mature | LayerScore |
| Editorial standards at scale | Core strength | Per-audit scoring |
| Google Docs / WordPress plugins | Deep integration | Connector plugin |
| Team reporting dashboards | Enterprise-grade | Dashboard |
| Live citation testing (5 AI models) | No | Core feature |
| Server-side AI-crawler analysis | No | Yes |
| Three-layer score (human/search/AI) | Quality grade | LayerScore (L1/L2/L3) |
| Entry price | ~170 USD/mo | Free audit, paid tiers |
Clearscope wins on enterprise grading, integrations and team reporting. 3LA wins on measuring AI outcomes and accessibility of entry. The deeper team-reporting layer we have not prioritised is a roadmap item, not an architectural limit — and available through customisation for clients who need it.
Who should choose which
Choose Clearscope if
- You enforce editorial standards across a large team
- You need a clear, consistent quality grade
- Deep Google Docs and WordPress integration matters
- You manage significant content volume
- Enterprise reporting is a requirement
Choose 3LA if
- You need to know if AI models actually cite you
- You want one score across human, search and AI
- You care which AI bots crawl your server
- You operate in the Nordic market or in English
- A high grade is not enough — you want proof of visibility
The strongest setup: use both
Clearscope and 3LA measure quality at two different stages, and they reinforce each other.
Use Clearscope to enforce a consistent editorial standard — grade every draft against competitors, keep your whole team to the same A++ bar, and optimise inside Google Docs or WordPress. That strengthens your L1 and L2 layers. Then run a 3LA audit to measure the L3 layer Clearscope does not address: confirm the content is structured for AI, test whether it is cited across five models, and verify AI crawlers reach it.
Clearscope guarantees the content is high quality. 3LA confirms it is also visible to AI. Grade with Clearscope, verify with 3LA — and if the citations are missing, 3LA shows which layer to fix.
Your content scored A++. But do ChatGPT and Gemini cite the page? Find out in 45 seconds.
Run a free 3LA auditFrequently asked questions
Is 3LA a replacement for Clearscope?
Not directly. Clearscope focuses on enterprise content grading and consistent editorial standards across large teams. 3LA focuses on a three-layer score with live citation testing across five AI models. Many teams use both — Clearscope to enforce quality, 3LA to verify AI visibility.
How is LayerScore different from Clearscope’s A++ grade?
Clearscope’s grade measures content quality and coverage relative to ranking competitors. 3LA’s LayerScore measures three layers: human, search and AI. The A++ grade maps closely to the human and search layers; 3LA adds the AI layer by testing actual citation across models, which a quality grade does not measure.
Is 3LA more affordable than Clearscope?
3LA offers a free audit and paid tiers, while Clearscope starts around 170 USD per month at the enterprise level. The tools serve different needs: Clearscope for enterprise editorial standardisation, 3LA for measuring AI visibility across models. Cost depends on which outcome you are buying.
Can I use Clearscope and 3LA together?
Yes, and it is the recommended setup. Use Clearscope to enforce editorial quality across your team, then run a 3LA audit to verify the content is structured for AI, actually cited across models, and reachable by AI crawlers.