Humata
ProductivitySearch, summarize and compare uploaded documents with source-linked answers. Humata adds team-oriented document access and page-based plans for ongoing knowledge work.
Track how a brand appears in AI answers, investigate cited sources and connect findings with content and site improvements. Writesonic now combines AI search monitoring with SEO and writing workflows.
Writesonic is now positioned around an AI search loop: monitor prompts, identify gaps, act on content or technical issues and measure the next results. Article generation remains part of the platform, but a buyer should evaluate the monitoring coverage and workflow limits as carefully as writing quality.
A useful first project follows a small, stable set of questions that actual buyers ask. Record the market, platform and observation date, then inspect which sources the answers cite. Changes in a sampled visibility score are a diagnostic signal; they do not by themselves prove traffic, revenue or a causal effect from one edit.
Brand visibility baseline
Editorial prioritization
Agency reporting
Official product image. Click to inspect the details.

Track prompts across supported answer platforms. Compare like-for-like markets and question sets to avoid confusing sampling changes with performance.
Inspect where answers obtain information and whether a brand is mentioned. Review the actual answer alongside the aggregate score.
Use the article writer and content tools to address a documented gap. Supply original evidence and product facts rather than generating near-duplicate pages.
Investigate technical issues that may affect crawling or content access. Validate any proposed fix against the website’s actual behavior.
Higher tiers expand action and automation access. Distinguish a limited trial run from continuing production capacity.
Define the market and questions
Inspect the baseline
Make one supported improvement
Compare repeated observations
Choose one product, target market and concise set of buyer questions. Keep a record of the initial sample.
Read the answers and cited pages, not only the headline visibility metric. Label irrelevant or ambiguous prompts.
Improve a factual page, documentation gap or verified technical issue. Review generated text before publishing.
Use the same market and prompt set over time, then compare with independent traffic and conversion data.
Pricing checked on October 5, 2026. See plan details below.
The current annual pricing view lists Starter at $79/month, Basic at $199/month and Growth at $399/month, with Enterprise quoted separately. Starter includes fifty tracked prompts, fifteen AI articles per month, ten site audits and one user/project. These are annual-billing equivalents.
Growth expands quotas and includes sentiment analysis and limited Action Center access; the enterprise offering expands platform coverage and full action workflows. The page advertises a free trial without a credit card, which should be distinguished from ongoing free production access.
Yes, but the current platform also emphasizes AI search visibility and related improvement workflows.
No. Compare observations with independent traffic, lead and revenue data.
No. The current page lists narrower platform coverage for entry plans and broader coverage for Enterprise.
No. The public plans list tier-specific access and trial-run limits.
The current pricing page advertises a no-card free trial.
Keep the prompt set, market and platforms consistent, and inspect the underlying answers.
Explore platforms, inputs and outputs, licensing, and access requirements.
Writesonic is a proprietary SaaS platform. A tracked answer is an observation from a particular question and platform, not the complete distribution of all user conversations. Quotas for prompts, answers, articles, audits, users and projects should be compared separately when estimating coverage.
Use public brand material for an initial project. If connecting analytics or publishing systems, grant only the access required for the chosen workflow and review proposed changes. Treat agency client data as separate workspaces and keep source evidence with each recommendation.
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