AI SEO & content research that speeds content creation
Frase is an AI-driven SEO and content research platform that helps teams research, outline, and optimize content at scale. It’s best for content marketers and agencies needing topic research, SERP-based briefs, and on-page optimization workflows. Pricing starts with a limited free option and paid plans from a modest monthly entry, making it accessible for freelancers and small teams.
Frase is an AI SEO & Marketing tool that combines content research, automated brief generation, and on-page optimization. It ingests SERP results to build topic briefs, extracts competitor content insights, and generates draft content or section outlines for writers. The key differentiator is its integrated Research + Write + Optimize workflow that maps SEO signals into editorial briefs, serving content marketers, agencies, and in-house SEO teams. Frase’s pricing includes a free plan with tight limits and paid plans starting at an affordable monthly rate, so smaller teams can trial core SEO features before upgrading.
Frase is a content optimization and SEO research platform launched in 2017 that positions itself at the intersection of content strategy and AI writing. Its core value proposition is to reduce time spent on manual SERP research by automatically creating topic briefs and content outlines from the top-ranked pages. The product brands itself for marketers and SEO teams who need repeatable, data-driven briefs and on-page optimization suggestions tied to competitor signals and keyword intent.
Frase’s feature set centers on a few concrete capabilities: the Research engine crawls and summarizes the top SERP results for a target query, extracting headings and common questions to build a Brief; the AI Writer can generate topic sections, intros, and H2 drafts with adjustable length and tone settings; the Content Optimization module scores drafts against extracted competitor data and recommended target keywords while highlighting missing subtopics; and the Answer Engine (knowledge base) lets teams build and serve AI-powered FAQs or chatbots by feeding site content and FAQs into the knowledge graph. The Research view displays aggregated word counts, common headings, and a question gap table, while the Write editor supports document import, real-time optimization scoring, and export to Google Docs.
Frase’s pricing has a free-trial/free option with limited usage; paid plans are tiered for higher usage and collaboration. As of the latest published pricing, the Solo/Basic plan starts around $14.99–$19.99 per month for personal use (monthly billed), unlocking more AI document credits and longer briefs; the Growth/Team plans (commonly in the $40–$120 per month range depending on seats and credits) add shared workspaces, more content credits, and Hub/Answer Engine usage. Enterprise pricing is custom and includes SSO, dedicated onboarding, and larger API/knowledge base capacity. Free users can run a small number of briefs and have restricted AI writing credits; upgrading increases document credits, team seats, and Answer Engine capacity.
Frase is used by SEO specialists and content teams for producing scalable briefs and improving on-page relevance. For example, an SEO Manager uses Frase to generate 50+ SERP-based briefs per month to feed a content calendar, and a Content Strategist uses the Content Optimization score to raise organic traffic measured by ranking improvements. Agencies use the Answer Engine to power client knowledge bots and internal documentation. For teams comparing tools, Frase is often pitched against SurferSEO; choose Frase when you need built-in brief generation and a knowledge-base answer engine, while Surfer focuses more narrowly on numeric on-page recommendations.
Three capabilities that set Frase apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free | Free | Limited briefs, restricted AI writing credits, single-user access | Trying core research features solo |
| Solo / Basic | $19.99/month | ~10 AI documents/month, basic briefs, 1 seat, Google Docs export | Freelancers testing AI briefs |
| Growth / Team | $59/month | More AI credits, shared workspaces, unlimited briefs for queries | Small teams and agencies scaling content |
| Enterprise | Custom | SSO, dedicated onboarding, higher API/Answer Engine capacity | Large orgs needing SLA and integration |
Copy these into Frase as-is. Each targets a different high-value workflow.
Role: You are Frase, an SEO content brief generator. Task: Produce a concise, production-ready content brief for the target keyword "best hiking boots 2026". Constraints: 300–500 words; identify primary search intent (informational/commercial/transactional), list 8–12 secondary keywords, recommend 5 H2 headings with 1–2 H3 subpoints each, suggest ideal word count range, provide 3 internal linking anchor suggestions, and a 50–60 char meta title + 150–160 char meta description. Output format: JSON with fields {title, intent, primary_keyword, secondary_keywords[], suggested_word_count, headings[], internal_links[], meta_title, meta_description}. Example: {"title":"Best Hiking Boots 2026","intent":"commercial"}.
Role: You are Frase acting as an SEO copywriter. Task: For the five example pages below, produce optimized meta titles (50–60 chars) and meta descriptions (150–160 chars) that include the focus keyword, unique value proposition, and a clear CTA. Constraints: avoid duplication, maintain brand tone as "helpful, concise", and keep language natural for users. Pages (URL | focus keyword): 1) /pricing | "project management pricing"; 2) /features/onboarding | "user onboarding features"; 3) /blog/remote-teams | "managing remote teams"; 4) /help/integrations | "payment gateway integrations"; 5) /case-study/saas | "SaaS onboarding case study". Output format: CSV lines: URL, meta_title, meta_description.
Role: You are Frase the competitive research analyst. Task: Analyze the top 10 SERP results for the keyword "remote project management software" and produce a competitor matrix. Constraints: include for each result — rank, URL, content type (listicle/guide/landing), approx. word count, top 5 headings (H1–H3), primary offer/CTA, 3 missing subtopics compared to others, and a 1–2 sentence gap/opportunity. Output format: JSON array of 10 objects with fields {rank, url, type, word_count_estimate, top_headings[], primary_offer, missing_subtopics[], opportunity}. Example object: {"rank":1,"url":"https://...","type":"guide"}.
Role: You are Frase working as a content strategist. Task: From a site's top 20 pages by traffic (assume generic SaaS site sections), produce a prioritized internal linking & content-upgrade plan. Constraints: calculate a Priority Score = (traffic_rank_weight*0.6 + conversion_potential*0.4), list 10 high-impact source→target link pairs with suggested anchor text, recommend a unique content upgrade (lead magnet) for each target (title + format), and assign implementation difficulty (low/medium/high). Output format: JSON list of 10 objects {priority_score, source_url, target_url, anchor_text, upgrade_title, upgrade_format, difficulty}. Example: {"priority_score":8.5,...}.
Role: You are Frase and an expert senior SEO writer for B2B cloud cost optimization. Task: Produce a 1,500–2,200 word long-form article draft targeting keyword "cloud cost optimization strategies". Constraints: include H1, H2, H3 hierarchy, 6–8 data-backed claims with in-text citations (format: [1] URL), extract 3 exact quote snippets (<=25 words) from top sources and cite them, suggest 4 image alt texts, provide a 50–60 char meta title and 150–160 char meta description, and include a JSON-LD FAQ schema with 3 Q&A. Output format: return a single JSON object {meta_title, meta_description, article_html, citations[], image_alts[], faq_jsonld}. Example citation: [1] https://example.com/report — "Cloud spend rose 30% year over year."
Role: You are Frase and a support knowledge engineer. Task: Create a 20-item FAQ dataset for the topic "Integrating a payment gateway" suitable for a Frase-powered chatbot. Constraints: each item must include: intent_name (short snake_case), canonical_question, concise canonical_answer (50–120 words), 3 follow-up prompts, 5 search_keywords for embeddings, answer_tone="concise_helpful", and a confidence_threshold numeric suggestion (0.6–0.95). Output format: JSON array of 20 objects. Provide one example object first: {"intent_name":"setup_stripe_integration","canonical_question":"How do I set up Stripe?","canonical_answer":"...","follow_ups":[...],"search_keywords":[...],"confidence_threshold":0.8}.
Choose Frase over SurferSEO if you prioritize automated SERP brief creation and a built-in Answer Engine for FAQ/chatbot workflows.
Head-to-head comparisons between Frase and top alternatives: