Frase

What is Frase?

Frase is an SEO, Generative Engine Optimization (GEO), and AI search content platform designed to help organizations research, create, optimize, publish, and maintain content for both traditional search engines and AI-generated search experiences.

Originally known primarily for SEO content research and optimization, Frase has expanded into AI search with GEO scoring, AI visibility monitoring, citation tracking, competitor benchmarking, AI crawler monitoring, content publishing, and ongoing content maintenance.

Frase describes its current approach as a content operating system for AI search, connecting content creation with publishing, optimization, AI visibility measurement, and continuous improvement.

What does Frase do?

Frase combines content research, AI-assisted writing, SEO optimization, GEO optimization, publishing, and performance monitoring within one platform.

Teams can research what audiences are searching for, create content around those needs, optimize pages for Google and AI search, publish them to a CMS, and then monitor whether search engines and AI answer engines actually surface or cite that content.

The platform is designed around a continuous workflow rather than treating content creation, SEO, AI visibility, and content maintenance as separate activities.

What are the key features of Frase?

Frase combines traditional SEO content optimization with newer AI search and GEO capabilities.

• AI Visibility: Tracks where brands appear and receive citations across major AI answer engines.
• Prompt Tracking: Monitors strategically important questions across AI search platforms.
• Share of Voice: Benchmarks brand visibility against selected competitors.
• Citation Tracking: Identifies whether AI systems cite the tracked brand or website within generated answers.
• Competitor Monitoring: Shows where competing brands appear while the tracked brand does not.
• AI Crawler Monitoring: Helps teams understand whether AI bots are reaching important website pages.
• GEO Content Optimization: Scores pages for their readiness to be retrieved and cited by AI systems.
• GEO Score: Provides a page-level measurement of AI search optimization.
• SEO Content Optimization: Analyzes competing search results and provides recommendations for traditional organic search.
• Content Research: Analyzes search results, topics, questions, and competing content before writing begins.
• AI Writer: Helps generate content using research and brand context.
• Brand Voice: Applies defined writing characteristics across generated content.
• Content Monitoring: Tracks published pages and identifies content that may require attention.
• Content Guard: Detects declining content performance and helps prepare updates.
• Frase Answers: Captures questions visitors ask directly on a website and turns them into content intelligence.
• CMS Publishing: Publishes content directly to supported content management systems.
• FraseCMS: Provides Frase's own hosting environment for publishing content.

Which AI platforms does Frase track?

Frase monitors AI visibility across several major AI search and answer engines.

Current Frase product materials reference monitoring across:

• ChatGPT.
• Perplexity.
• Claude.
• Gemini.
• Google AI.

Engine coverage can vary according to the specific Frase plan and feature being used.

The platform combines results from supported engines into an overall AI visibility view while also allowing teams to investigate performance at the individual platform level.

What is Frase AI Visibility?

Frase AI Visibility is the platform's monitoring layer for understanding how a brand performs within AI-generated search results.

Organizations define prompts and competitors they want to monitor, and Frase checks those questions across supported AI engines on a recurring basis.

Teams can use AI Visibility to understand:

• Whether their brand appears in AI answers.
• Whether their website receives citations.
• How their visibility compares with competitors.
• Which AI platforms provide the strongest visibility.
• Which prompts competitors are winning.
• How visibility changes over time.

AI Visibility is integrated with Frase's content optimization environment, allowing monitoring insights to inform future content creation and optimization.

How often does Frase monitor AI visibility?

Frase runs AI visibility monitoring daily for tracked prompts.

The platform can also alert teams when meaningful changes occur, such as a visibility decline or a competitor gaining an advantage for an important prompt.

Daily monitoring is useful because AI-generated answers can change even when the underlying user question remains the same.

Tracking performance over time provides a more reliable view of AI visibility than relying on isolated manual searches.

How does prompt tracking work in Frase?

Prompts represent the questions that potential customers may ask AI systems while researching a topic, product, service, or category.

Frase allows organizations to define the prompts they want to monitor and then evaluates brand and competitor performance across those questions.

Prompt-level monitoring can reveal:

• Brand mentions.
• Brand citations.
• Competitor visibility.
• Platform differences.
• Share of Voice.
• Changes in visibility over time.
• The actual AI-generated responses behind the measurements.

This helps teams identify specific questions where their content or brand presence may require improvement.

How does Frase measure AI Share of Voice?

Frase uses Share of Voice to compare the tracked brand's presence with selected competitors across monitored AI search prompts.

Instead of evaluating brand visibility in isolation, teams can see how much of the monitored AI answer landscape belongs to their brand relative to competitors.

Share of Voice can also be analyzed at the AI engine level, helping organizations identify platforms where they perform strongly and platforms where competitors have greater visibility.

This turns AI visibility into a competitive measurement rather than only a count of mentions or citations.

How does citation tracking work in Frase?

Frase monitors whether AI search engines reference or link to a brand's website when generating answers.

Citation tracking can help teams determine:

• Whether their website is being used as an AI source.
• Which prompts generate citations.
• Which competitors receive citations instead.
• Which AI engines cite the brand.
• How citation performance changes over time.

Teams can inspect the actual answers behind visibility measurements, providing context around why a particular brand or source appeared.

Citation data can then inform content optimization by revealing where an existing page needs improvement or where new content may be required.

What is the Frase AI Visibility Checker?

Frase provides a free AI Visibility Checker that offers a snapshot of whether AI systems currently cite a particular domain.

The checker infers the website's industry, creates AI-search-style questions, captures responses from supported AI systems, and analyzes those responses for visibility signals.

Its analysis can include:

• Share of Voice.
• Citations.
• Visibility momentum.
• Sentiment.

The free checker is designed as a point-in-time diagnostic, while the full Frase platform provides recurring AI visibility monitoring.

What is Frase GEO Content Optimization?

Frase GEO Content Optimization helps teams structure and improve pages so they are easier for AI search engines to understand, retrieve, and cite.

The platform evaluates a page and provides a GEO Score alongside recommendations for improving its AI search readiness.

Potential recommendations can include:

• Providing clearer direct answers.
• Improving definitions.
• Adding relevant entities.
• Including useful facts or evidence.
• Improving information structure.
• Making important passages easier to extract and cite.

These recommendations are available within the same content environment used for traditional SEO optimization.

What is the Frase GEO Score?

The GEO Score is Frase's page-level measurement for evaluating how well content is prepared for AI-generated search experiences.

It is designed to help teams determine whether a page contains the structure, information, entities, and answer patterns that make it easier for AI systems to retrieve and quote.

The score changes as the content is edited, allowing writers to evaluate improvements during the creation and optimization process.

Frase displays GEO and SEO optimization signals together so teams can work on traditional search rankings and AI citation readiness within the same workflow.

How are GEO Score and AI Visibility different in Frase?

GEO Score and AI Visibility measure different stages of AI search performance.

GEO Score evaluates whether an individual page is structured and written in a way that may make it easier for AI systems to retrieve and cite.

AI Visibility measures what is actually happening across monitored AI-generated answers, including whether the brand appears, receives citations, or loses visibility to competitors.

A page can therefore have a strong GEO Score without currently receiving significant AI visibility, while a cited page may still contain optimization opportunities.

Using both measurements helps teams distinguish between content readiness and observed AI search performance.

How does Frase combine SEO and GEO?

Frase treats traditional SEO and AI search optimization as connected rather than independent workflows.

Content can receive both SEO and GEO optimization guidance within the same editing environment.

SEO analysis focuses on factors associated with traditional search performance, while GEO analysis focuses on making information easier for AI systems to retrieve and cite.

This allows teams to create one page intended to perform across both conventional search results and AI-generated discovery experiences rather than maintaining separate versions of content for each channel.

How does Frase research content?

Frase analyzes search results and competing content to help teams understand what information should be covered before a page is written.

Research can identify:

• Important topics.
• Common questions.
• Relevant entities.
• Competing content structures.
• Information gaps.
• Search intent.

These insights can be used to create content briefs, outlines, and drafts designed around actual search and competitive evidence.

The same research foundation can then support both SEO and GEO optimization.

How does Frase create content?

Frase includes AI-assisted writing capabilities for creating content from research, briefs, brand context, and user instructions.

Content can be generated according to a defined Brand Voice and evaluated against SEO and GEO recommendations while it is being written.

This allows research, drafting, optimization, and editing to occur within the same workflow rather than requiring separate tools for each stage.

Teams remain responsible for reviewing, editing, fact-checking, and approving content before publication.

How does Frase publish content?

Frase supports direct publishing into several content management systems.

Current publishing options include:

• WordPress.
• Webflow.
• Sanity.
• Wix.
• FraseCMS.

This allows teams to move content from research and optimization into publication without manually transferring the final page into another environment.

Published pages can then remain part of Frase's monitoring and optimization workflow.

What is FraseCMS?

FraseCMS is Frase's own content publishing and hosting environment.

It allows organizations to publish content created within Frase without connecting a separate content management system.

Using FraseCMS can keep research, content creation, publishing, optimization, and monitoring within the same platform.

Organizations already using external CMS platforms can instead use Frase's publishing integrations.

What is Frase Answers?

Frase Answers is an on-site answer experience that captures the questions real website visitors ask.

Those questions create a first-party demand signal that can reveal information visitors need but may not currently find within the site's published content.

Teams can use these questions to identify:

• Missing content.
• Frequently asked questions.
• Customer terminology.
• Content gaps.
• New topics worth covering.

This creates a feedback loop where actual visitor questions can influence future content research and production.

How does Frase monitor existing content?

Frase continues monitoring pages after they are published rather than treating publication as the end of the content workflow.

Its monitoring capabilities help teams identify pages whose performance may be declining or whose information requires updating.

Content Guard can surface pages that need attention and help prepare revisions for review.

At the same time, AI Visibility monitoring can reveal changes in citations, mentions, Share of Voice, and competitor performance.

Together, these signals help teams maintain content across both traditional and AI search.

How does Frase monitor AI crawlers?

Frase includes AI crawler monitoring to help teams understand whether AI bots are accessing their website.

This can provide additional context when investigating why a page does or does not appear in AI-generated answers.

If important pages are not accessible to relevant AI crawlers, content optimization alone may not be sufficient to improve visibility.

Crawler monitoring therefore complements prompt, citation, and visibility analysis with a technical discovery signal.

How does Frase analyze competitors in AI search?

Frase allows organizations to define competitors and benchmark AI visibility against them across tracked prompts.

Teams can identify:

• Competitors with stronger Share of Voice.
• Prompts competitors are winning.
• Answers where the tracked brand is absent.
• Differences between AI platforms.
• Changes in competitive visibility over time.

Because the underlying AI responses can be inspected, teams can investigate the context behind a competitor's advantage rather than relying only on aggregate scores.

How does Frase turn AI visibility into actions?

Frase connects AI visibility monitoring directly with its content research, writing, and optimization environment.

When a visibility gap is identified, teams can investigate the underlying prompt and AI response, determine which competitor or source is winning, and then create or improve content intended to address that gap.

Potential actions can include:

• Creating a missing page.
• Improving an existing answer.
• Adding relevant entities.
• Strengthening factual evidence.
• Improving content structure.
• Updating outdated information.
• Closing competitor content gaps.

The resulting page can then be published and monitored to determine whether AI visibility changes.

Who is Frase for?

Frase is designed for organizations and professionals responsible for search-driven content.

Potential users include:

• SEO teams.
• AEO and GEO practitioners.
• Content marketing teams.
• Content writers and editors.
• Growth teams.
• Agencies.
• Freelance SEO professionals.
• SaaS and B2B companies.
• Enterprise content organizations.

Its combination of traditional SEO and AI search capabilities can be particularly useful for teams that want to manage both channels within the same content workflow.

How does Frase fit into AI SEO, AEO, and GEO?

Frase operates across traditional SEO and the newer search disciplines commonly described as AI SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO).

Its AI search capabilities address both optimization and measurement.

GEO scoring and content recommendations help teams improve the citation readiness of individual pages, while AI Visibility measures whether those pages and brands actually appear within AI-generated answers.

This creates a feedback loop between content creation, optimization, observed AI search performance, and future content improvements.

How is Frase different from traditional SEO tools?

Traditional SEO platforms primarily focus on keywords, rankings, backlinks, technical performance, and organic search traffic.

Frase combines traditional content optimization with additional AI search workflows.

Teams can investigate questions such as:

• Is this page optimized for Google?
• Is this page structured for AI citation?
• Does ChatGPT or another AI engine mention our brand?
• Is our website being cited?
• Which competitors are winning important AI answers?
• Are AI crawlers reaching our pages?
• Which content should we create or update?
• Did visibility improve after the change?

Frase therefore extends the traditional SEO content workflow into AI search optimization and visibility measurement.

What should teams consider when evaluating Frase?

Organizations evaluating Frase should consider whether they primarily need content optimization, AI visibility monitoring, or an integrated system covering the entire content lifecycle.

Important considerations include:

• Required AI engine coverage.
• Number of prompts to monitor.
• Competitor tracking requirements.
• SEO content-production volume.
• GEO optimization requirements.
• CMS integrations.
• Content monitoring needs.
• Brand governance.
• Team size.

Teams should also distinguish between page-level GEO readiness and observed AI visibility. Optimizing a page for citation does not guarantee that an AI system will cite it, which makes ongoing visibility monitoring important.

Frase and the AI Search tools ecosystem

Frase represents the evolution of an established SEO content optimization platform into a broader SEO and AI search operating system.

Its approach connects research, content creation, SEO optimization, GEO optimization, publishing, AI visibility monitoring, citation tracking, crawler monitoring, and content maintenance.

The broader ecosystem includes dedicated AI visibility platforms, prompt intelligence tools, citation monitoring systems, AI traffic analytics products, content optimization platforms, and established SEO tools expanding into AI search.

Ansvisor maintains a broader directory of AI SEO, AEO, GEO, AI visibility, and AI search tools to help teams understand this evolving ecosystem and evaluate platforms according to their specific requirements.