Yoast has launched AI Brand Insights (beta) on October 1, 2025 as part of its Yoast SEO AI+ package—an early sign that “AI answer visibility” is becoming a measurable marketing surface. According to the official launch note in Yoast’s announcement on Oct 1, 2025, the tool helps teams “check if your brand is mentioned … benchmark against competitors … understand the sentiment … find the sources AI tools use … [and] track your progress over time” across leading assistants like ChatGPT, Perplexity, and Gemini (Yoast announcement, Oct 1, 2025).
Why this matters: as AI-generated answers increasingly mediate discovery and consideration, marketers need instrumentation beyond traditional SERP rank tracking. Yoast’s move, corroborated by trade-press coverage on Oct 2, 2025, suggests a new “AI visibility” stack is emerging alongside SEO and social listening (see the reporting in Search Engine Journal’s Oct 2, 2025 coverage of the launch).
What we can verify today (and what’s still evolving)
Based on Yoast’s public materials updated Oct 1–2, 2025:
Packaging and availability: AI Brand Insights is in beta and bundled with Yoast SEO AI+. The product page positions it to “monitor, measure, and improve your brand’s visibility” in AI answers (Yoast SEO AI+ product page).
Supported assistants (named explicitly): ChatGPT, Perplexity, and Gemini, per the announcement and product page. There is no explicit mention of support for Google AI Overviews/SGE, Claude, or Bing Copilot as of Oct 2, 2025. Treat this as an open question to monitor.
Core capabilities: Mentions tracking; sentiment labeling (positive/neutral/negative); competitor benchmarking; citation analysis; and time-series progress tracking. Yoast also references an “AI Visibility Index,” presented as a composite KPI; the exact formula or weighting has not been disclosed publicly (Yoast AI-powered SEO metrics overview).
Pricing: Yoast SEO AI+ is listed at $29.90 per month billed annually—$358.80 per year, excluding VAT—on both the announcement and product page as of Oct 1–2, 2025 (see pricing language in the Yoast announcement (Oct 1, 2025) and the Yoast SEO AI+ product page).
Workflow basics: Yoast’s Help article describes a manual-run flow: enter brand and location, generate queries, review/edit, then run analysis (roughly five minutes) to view visibility, mentions, sentiment, citations, and competitor rankings (Yoast Help: How to use Yoast AI Brand Insights). The announcement text references weekly automated analysis; consider that provisional until documentation clarifies automation behavior during beta.
What’s evolving (watch list): supported platforms and query types, automation cadence, export/report formats, alerting, team/seat controls, and the precise definition of the AI Visibility Index.
The emerging AI-visibility metric stack
Marketers need a shared language to interpret these dashboards and connect them to action. A practical stack looks like this:
Mentions share: How often your brand appears in AI-generated answers relative to competitors for a defined query set.
Sentiment: The tilt of assistant responses toward positive, neutral, or negative framing when the brand is referenced.
Citation footprint: The sources AI assistants cite when they mention your brand or answer category-defining questions. These sources signal which domains are shaping the model’s grounded responses.
Composite KPI (e.g., AI Visibility Index): A simplified score to track deltas over time, aggregating mentions, sentiment, and possibly position prominence. Given Yoast has not disclosed the exact math as of Oct 2, 2025, treat it as a directional KPI rather than a precise measure.
Stable vs evolving
Stable: The need to baseline mentions, monitor sentiment, and map citations to authority-building tactics is durable. The entity-first approach—ensuring your brand, products, and people are consistently represented—is foundational.
Evolving: Platform coverage (e.g., explicit support for Google AI Overviews) and the weighting behind composite indices will change. Expect new report types (alerts, exports) and broader assistant coverage.
For broader context on how openness affects AI citations, see Search Engine Land’s discussion of AI visibility and content gating in 2025, which argues that accessible content can influence whether AI systems cite you in their answers (Search Engine Land analysis on gating and AI visibility, 2025).
A practical playbook to turn insights into outcomes
Here’s a tool-agnostic loop you can run as you pilot Yoast AI Brand Insights or similar tools:
Baseline (week 0)
Capture a 90-day snapshot for your brand and three key competitors across supported assistants (ChatGPT, Perplexity, Gemini). Track mentions share, sentiment distribution, and top cited domains. Document the query set used.
Diagnose (weeks 1–2)
Identify topic clusters where your brand’s mention share is low or sentiment skews negative. Correlate with missing or weak citations and inconsistent entity signals (brand, product, organization profiles). Prioritize queries with commercial or high-intent implications.
Act (weeks 2–6)
Refresh or create pages to close coverage gaps. Add specific FAQs and how-tos aligned with user questions. Implement and validate structured data (FAQ, HowTo, Organization, Product, Article, Breadcrumb). Strengthen internal links to consolidate entity understanding. Pursue digital PR to earn citations from authoritative domains.
To accelerate drafting and structured updates, teams can use an AI blogging platform such as QuickCreator to produce entity-rich refreshes and ensure metadata and schema are consistently applied. Disclosure: QuickCreator is our product. For a deeper operational walkthrough of AI-assisted publishing steps, see this step-by-step content workflow with AI.
Validate and iterate (biweekly)
Re-run analyses every two weeks during the pilot. Monitor deltas in mentions share, sentiment shifts, and the spread of citations. Fold learnings into your content calendar and PR outreach.
Measurement design and reporting cadence
Map AI-visibility metrics to outcomes your leadership cares about:
Leading indicators (week-to-week movement)
Number of new citations from authoritative domains relevant to your category
Structured data coverage across priority URLs and entity consistency in profiles
Content refresh velocity on high-intent clusters
Lagging indicators (quarterly trends)
Share of mentions vs. competitors in AI answers for your tracked queries
Sentiment improvement where negative/neutral was dominant
Referral traffic and assisted conversions influenced by cited sources (where attributable)
Cadence and artifacts
Biweekly pilot updates with a one-slide summary: top wins, persistent gaps, next actions
Monthly executive summary translating AI visibility movement into pipeline/brand health narratives
Quarterly deep dives: consolidate query set, revisit weighting, and expand assistant coverage
If you need a bridge from AI visibility to conventional SEO constructs, this primer on how search visibility score is calculated can help translate composite indices into familiar reporting language.
What to watch next (beta caveats) and updates
Platform coverage: Any addition of Google AI Overviews/SGE, Claude, or Bing Copilot—and any regional limitations.
Automation: Clarifications on weekly automated runs vs. manual triggers; SLAs for refresh cycles.
Data operations: Export/report formats, alerting, and multi-brand or seat-based access.
KPI definitions: Public documentation of the AI Visibility Index components and weights.
Pricing/packaging: Any adjustments to Yoast SEO AI+ terms, brand limits, or included features.
Change-log
Published on Oct 2, 2025. Monitoring Yoast’s product and Help pages for updates.