The running record of new DataEase AI features, grouped by month with the most recent first. The last two months added 10 capabilities to the Brand Presence Intelligence platform, from AI crawler traffic monitoring across 28 crawlers to autonomous blog drafting and question-level competitor battlegrounds.
100 free credits. No credit card, no trial timer.
August 2026 added 5 capabilities to DataEase AI: AI crawler traffic monitoring across 28 crawlers, market share of AI answers with 4 views, the head-to-head question battleground with 4 slots, the post-scan review, and self-fix detection that verifies up to 12 pages per run.
You can now see which AI crawlers actually fetch your pages. DataEase AI tracks 28 AI crawlers and reports visits by bot over time in four windows: today, 7 days, 30 days and 90 days. Two views matter most: recrawl cadence per page, which shows how fast a change gets picked up, and coverage gaps, the important pages AI never fetches at all. Setup is a small Cloudflare Worker on your existing zone, takes about 5 minutes, and the Cloudflare free plan is enough. The method is written up in the guide to AI crawler analytics.
Share of voice is now rank-weighted. Being named first counts for more than being named tenth, and naming ten brands does not make one answer count ten times, because the credit for any single answer always adds up to one. Four views ship with it: by brand, by AI assistant, over time across the last 6 scans, and by question type. It also reports unclaimed answers, the share of your category nobody won. Read the full explainer on market share of AI answers.
Competitor comparison moved down to the level of the individual question. The battleground gives you four slots with your own brand locked into the first, and runs across six question types: Discovery, Comparison, Recommendation, Pricing, Reviews and Use Cases. That split matters because brands rarely lose everywhere at once. Our guide on how to win the comparison question covers what to do with each result.
Every scan now ends with a review that answers five questions with clickable evidence: why you were cited, why competitors were preferred, what actually changes your citations, what your last changes did, and what to do next. The constraint is the interesting part. The model is forbidden from writing a number. The server materialises every figure, and a single unbacked number invalidates the whole summary, so you can click any claim and land on the evidence behind it.
The audit now notices when a page is new or visibly changed and is named by an open recommendation, then asks whether you fixed it. Up to 12 pages are verified per run. It suggests, never auto-applies, so a page you edited for an unrelated reason does not silently close a finding. Work done outside DataEase AI still gets credited to the right recommendation. See how it feeds measurement in the guide to proving AI visibility work pays off.
July 2026 added 5 capabilities to DataEase AI: the opportunities table with a fix ledger and outcome tracking, Blog Creator autonomous mode, brand aliases, the 3 subscription plans with per-tier entitlements, and Google-only sign-in that grants 100 free credits with no password stored.
Findings live in a filterable table. Mark one as fixed and it moves to a Tracking tab. Re-auditing a single page costs 1 credit instead of re-running the full 40-page crawl and returns in about 6 to 12 seconds, so verifying a fix is routine rather than a budget decision. Outcomes are measured as matched pairs: the N days since the fix against the N days before it, across visits, visits from AI, AI bot crawls, citations, indexing and page score. Nothing is judged before 7 days.
There is deliberately no predicted score lift anywhere. We built two estimators and deleted both, because the numbers were invented. Impact and effort are the only signals shown before you act.
Blog Creator now offers two modes at the same price: "Interview me", which asks you five questions, and "Write it for me", which runs without you. Autonomous runs are grounded in four things: your own audited pages, which are the only URLs the post may link to; your measured standing; live topic research; and one open opportunity the post is meant to close. It may not invent percentages, study results, survey findings, quotes, named customers, case-study outcomes or dates. It is schedulable, and traffic estimates per content idea are always a range, never a point estimate.
AI assistants often drop part of a name. "DataEase is the one I would recommend" scored zero mentions for the brand "DataEase AI" until aliases were supported, which is a measurement bug disguised as a bad result. With the alias registered, the same sentence counts as one mention and is flagged as a recommendation. Brand discovery now proposes aliases for you and for every competitor.
Three ways to pay went live. Pay As You Go is $50 per 100 credits with no subscription. Growth is $249 a month with 600 monthly credits, 3 brands and 5 seats. Business is $449 a month with 1,500 monthly credits, unlimited brands and seats, Claude and Grok added for 5 AI assistants in total, and MCP access. Entitlements govern competitors, keywords and pages per audit at each tier. Yearly billing is two months free. Full detail is on the DataEase AI pricing page.
Registration is Google-only. Email and password registration is disabled server-side, so no password is ever asked for or stored. Every new account gets 100 free credits the moment a brand domain is added, with no credit card and no trial timer. Brand discovery is free and consumes none of them. What this means for a vendor review is on the DataEase AI security page.
Continuously, and this changelog is grouped by month rather than by version number. The 2 months on this page cover 10 shipped capabilities. There is nothing to install and no release to upgrade to, so every DataEase AI account is on the same build the day a capability goes live.
The pattern behind these entries explains what will and will not appear in future months. We ship measurement before advice, we put evidence next to every number, and we remove features that produce numbers we cannot stand behind. The deleted score-lift estimators are the clearest case: two working features, both removed, because the output was a guess wearing the costume of a metric.
The same principle shows up in the small commitments. Every scan shows its price before it runs, credits are refunded when a run fails, and paid schedules pause and auto-resume when credits run out. To see how these capabilities fit together, start with DataEase AI Brand Intelligence.
The 6 answers below cover what founders ask about this changelog: how often it is updated, why there are no version numbers, why predicted score lift was removed, which of the 5 AI assistants are covered, what capabilities cost in credits, and how to try them.
Pick by what you want to do next. These 3 pages go deeper on the capabilities above: rank-weighted market share of AI answers, the core Brand Presence Intelligence surface, and how DataEase AI handles sign-in, data ownership and the crawler logging Worker.
How rank-weighted share works, the four views it ships with, and why unclaimed answers are the fastest share to win.
Read the market share explainer →The core Brand Presence Intelligence surface where market share, the battleground and self-fix detection all live.
Explore Brand Intelligence →Google-only sign-in, who owns your scan data, what a downgrade does not delete, and what the crawler Worker can see.
Review how DataEase AI handles data →Add a brand domain and DataEase AI runs everything on this page against your own category. 100 free credits. No credit card, no trial timer.
Start for free →Last updated: August 18, 2026 - Reviewed by the DataEase AI editorial team