Keyword & question research
Suggest keywords, generate variants, and pull search questions for any topic, all grounded in a live Google SERP snapshot.
Powered by SEOTool keyword pipelineGround keyword research and article audits in fresh Google search results via Serper.dev. Generate meta titles, descriptions, headings, and full article rewrites with your chosen AI model.
> serper.dev /search "wide-fit running shoes 2026" → top 10 SERP retrieved (12.4K monthly searches) → 4 questions extracted, 8 keyword variants generated > aresgen meta-gen --model claude-sonnet-4-6 → title (58 chars) + meta description (148 chars) → h1, h2 × 3, h3 × 5 hierarchy proposed
Serper.dev queried per request
SEOTool backend methods
Research, meta, analyse, improve
User picks default in MultiModel
Each card maps to a real SEOTool method. Together they cover keyword research, on-page meta, audit, and rewrite.
Suggest keywords, generate variants, and pull search questions for any topic, all grounded in a live Google SERP snapshot.
Powered by SEOTool keyword pipelineGenerate title tags, meta descriptions, and heading hierarchies your chosen model crafts against the live SERP context.
Powered by SEOTool meta generatorPaste a draft. The analyser returns prioritized diagnostics: heading flow, keyword presence, readability, and structural fixes.
Powered by SEOTool article analyserSend a draft and a target outcome. The improver rewrites your HTML to address the analyser's diagnostics in one pass.
Powered by SEOTool article improverGoogle SERP API: live snapshot per query
Your default chat model handles every SEO surface. Pick the one that fits your taste: speed, depth, or open-weight cost profile.
Providers: Anthropic · OpenAI · Google · DeepSeek · Meta · Mistral
Pick a check type. Watch a real before/after side-by-side. Copy-only swap: no animation, accessibility-friendly.
<title>Page</title> <meta name="description" content="A page about things.">
<title>Best Running Shoes for Wide Feet (2026 Guide)</title> <meta name="description" content="Compare 12 wide-fit running shoes by Serper-ranked criteria.">
Query Serper.dev for any topic, browse top-10 snippets, and generate a keyword cluster + outline draft in one session.
Paste your product page HTML. The analyser scores meta tags, headings, internal links, and copy density against ranking peers.
Pull the live top-10 for your target keyword and contrast titles, descriptions, and headline patterns side-by-side.
Pair analyser + improver: detect issues, then apply a model rewrite that addresses every diagnostic in one go.
SEO Tool runs on the same credit pool as your AI Writer plan.
View pricingAresGen uses the Serper.dev SERP API to fetch a live Google SERP snapshot every time you research a keyword or audit a draft. Because the Serper.dev SERP API hits Google in real time, your research reflects today's search landscape, not a stale crawl.
You pick from a 12-model rail spanning 6 families: Anthropic, OpenAI, Google, DeepSeek, Meta, and Mistral. The model you set as your default in MultiModel handles all four SEO surfaces.
Three signals: a list of suggested keyword phrases, a set of related search questions, and the live SERP snippets for the top-ranked pages. Each comes from the Serper.dev call combined with your chosen model.
Analysis returns prioritized diagnostics: what to fix and why. Improvement runs a rewrite that addresses those diagnostics inline. You can chain them: analyse first, review the diagnostics, then run improve in a second step.
SEO Tool runs on the same credit pool as your AI Writer plan. Each Serper.dev query and each AI generation consume credits per the rate table on the pricing page.
Traditional SEO platforms aggregate keyword data from delayed crawls and licensed databases. AresGen queries a live Google SERP via Serper.dev for every request, then layers your chosen AI model on top to generate or audit content.