Copy-paste prompts for keyword research, briefs, on-page, technical, links, and the new frontier: getting cited by ChatGPT, Gemini & Google AI Overviews. Steal the playbook — or have our team run it for you.
Filter by discipline, copy what you need, and put it to work today. No email wall.
Start here when you're mapping a new topic from scratch.
I run a {{type of business}} targeting {{audience}}. My core offer is {{product/service}}.
Generate 30 keyword ideas grouped into: Informational, Commercial, Transactional, Navigational.
For each keyword give: search intent, a rough competition read (low/med/high), and the page type that would rank (blog, landing, comparison, tool). Focus on terms a {{site authority: new / growing / established}} site could realistically rank for within 6 months.
Use when a head term is too competitive to win head-on.
My primary keyword is "{{main keyword}}". Find 20 long-tail variations that are 4+ words, target a specific use case or audience, and carry clear intent.
Group them by subtopic. For each group, tell me whether to cover them in one comprehensive post or split into separate posts, and why.
Run before planning a content calendar in a crowded niche.
I'm in the {{industry}} space. My site is {{your domain}}. My top 3 competitors are {{comp 1}}, {{comp 2}}, {{comp 3}}.
Identify: topics they all cover that I likely don't, keywords where their content is thin enough to outrank, content formats they use that I'm missing (tools, calculators, templates), and clusters where existing content is outdated. Prioritize what I could realistically win in 6 months.
Perfect for FAQ sections and featured-snippet plays.
My audience is {{audience}} and my niche is {{niche}}. Generate 25 question keywords grouped by: How-to, What-is, Why, Best, Should-I.
For each: note buyer-journey stage (awareness/consideration/decision), whether it's a featured-snippet opportunity, and the ideal answer format (paragraph, list, table).
Turn a messy keyword export into a real content plan.
Here are keywords I want to target:
{{paste 30-60 keywords}}
Cluster them into groups where one page could target multiple terms. For each cluster: a primary keyword, supporting keywords, recommended page type, target word count, and how clusters should link to each other.
Sanity-check intent before you commit a writer's time.
Predict the SERP for these keywords:
{{5-10 keywords}}
For each: dominant intent, the content type currently ranking, likely SERP features (snippet, PAA, video, local pack), and the 'format to beat' — the depth and structure I'd need to outrank what's there.
The workhorse brief for any new article.
Create a full content brief for a post targeting "{{primary keyword}}".
Include: 5-8 secondary keywords, search-intent analysis, recommended title (<60 chars), meta description (<155 chars), URL slug, target word count, an H2/H3 outline, PAA questions to answer, internal-link suggestions (page types), external sources to cite, and the angle that differentiates it from what already ranks.
For bottom-of-funnel comparison content that converts.
Create a brief for "{{Product A}} vs {{Product B}}: {{angle}}" targeting "{{keyword}}".
Include: comparison criteria, a comparison-table spec (rows = criteria, columns = products), who wins each category, 'best for' recommendations, an FAQ of real decision questions, and how to make it genuinely useful instead of a surface feature list.
When you're building topical authority, not one post.
Design a pillar-page strategy for "{{broad topic}}".
Give me: the pillar title + target keyword, 8-12 cluster pieces (each a long-tail target), the internal-linking architecture between pillar and clusters, a 3000-5000 word pillar outline, and a publish order with reasoning.
Rescue a page that's slipped from page one.
Refresh this underperforming article.
URL: {{url}} | Keyword: "{{keyword}}" | Position: {{position}} | Published: {{date}}
It currently covers: {{summary}}
Produce: new keywords to add, sections to add/cut/revise, stats or examples to update, structural changes for scannability, missing internal links, and a stronger title + meta if the current ones are weak.
Beat page one by covering what it covers — plus more.
Build an outline for "{{primary keyword}}" based on what's ranking on page one right now. Identify the sections every top result covers, then propose 2-3 additional angles or sections that would make mine the most complete result. Output H2/H3 headings only, with a one-line note under each on what it should answer.
Write section-by-section for quality that survives edits.
Write the content for this section based on my outline:
{{paste section outline}}
Optimize for "{{primary keyword}}" and weave in related terms naturally. Match a clear, confident tone. No fluff, no throat-clearing intros — lead with the answer.
Audit an existing page against its target keyword.
Optimize the on-page SEO for this page.
Keyword: "{{keyword}}" | Title: "{{title}}" | H2s: {{list}} | Word count: {{count}}
Summary: {{2-3 sentences}}
Recommend specific changes to: title, meta, H2/H3 structure, missing subtopics, keyword placement (intro/headings/conclusion), internal links, featured-snippet target, and 5 image alt-text examples.
When the SERP shows a definition or paragraph snippet.
Rewrite the relevant section to win a paragraph featured snippet for "{{keyword}}":
{{paste section}}
Give a direct 40-60 word answer immediately after a matching heading, then expand below it. Keep the answer self-contained enough to extract.
For how-tos, steps, and 'best X' queries.
Optimize this content to target a list-style snippet for "{{keyword}}":
{{paste section}}
Use a clear heading, a one-sentence intro, and a numbered or bulleted list with parallel phrasing. Keep each item tight enough to display cleanly in the SERP.
Dense pages that 'rank but don't engage'.
Improve the readability of this content without changing its meaning:
{{paste content}}
Vary sentence length, break up dense paragraphs, add a subheading roughly every 200-300 words, and introduce formatting (lists, bold, callouts) to aid scanning. Return the revised version.
Push authority to the pages you actually want ranking.
Here is an article and a list of my internal pages:
{{paste article}}
{{paste page list / topics}}
Recommend where to add internal links and the natural anchor text for each. Prioritize intros, key subheadings, and summaries. Avoid exact-match anchors unless they fit organically.
Diagnose why a well-optimized page still won't rank.
Evaluate whether this content matches the search intent for "{{keyword}}":
{{paste content}}
Identify mismatches between what searchers want and what the page delivers, and recommend specific changes to close the gap.
Generate options worth A/B testing.
Generate 5 title-tag options for a page targeting "{{keyword}}".
Page type: {{blog / landing / product}} | Brand: {{brand}}
Each: under 60 chars, keyword in the first 40, a real reason to click (number, benefit, year, power word), no clickbait. Rank them by expected CTR and explain the top pick.
Lift CTR on pages that rank but don't get clicked.
Write 3 meta descriptions for this page.
Title: "{{title}}" | Keyword: "{{keyword}}" | Summary: {{2 sentences}}
Each: under 155 chars, keyword used naturally, a clear value prop, active voice, ends on a benefit or CTA. Mark the strongest and say why.
Competitive SERPs where every result looks the same.
Look at the page-one results for "{{keyword}}" and write titles + metas that break the pattern. Avoid the phrases competitors repeat, lead with a distinct angle or benefit, and stay within Google's character limits.
Cleaning up a batch of pages at once.
Generate optimized titles and metas for these pages:
{{list: URL, current title, keyword, page type, one-line summary}}
Return a table: URL | New Title (<60) | New Meta (<155) | Note if the current one is already fine.
Feed rich results and capture PAA in one move.
Generate 8 FAQ Q&As for a page about "{{topic}}" targeting "{{keyword}}".
Questions should mirror real People-Also-Ask queries; answers 40-60 words, genuinely useful, keyword used naturally in at least 3. Return both the human-readable version and ready-to-paste FAQ JSON-LD.
Make the share card earn clicks off-SERP too.
Create Open Graph + Twitter Card tags for this page.
Title: "{{title}}" | URL: {{url}} | Description: {{meta}} | Type: {{article/product}}
Give og:title and og:description optimized for shares (they can differ from the SEO versions), og:type, twitter:card, twitter:title/description, and a described share-image concept.
Understand how AI answers frame your topic.
For the topic "{{topic}}", list the 15 questions an AI assistant (ChatGPT, Gemini, Perplexity, Google AI Overviews) is most likely to synthesize an answer for.
For each: the concise factual claim an AI would want to cite, the type of source it would trust, and whether my page currently provides that claim in an extractable form.
Get quoted, not just crawled, by AI answers.
Rewrite this content so an AI answer engine can cite it cleanly:
{{paste content}}
Surface the key claims as self-contained, quotable sentences; add clear definitional statements; attach concrete numbers, dates, and sources; and structure it so a model can lift a single passage without losing context.
Build the entity signals AI models reward.
I want authority on "{{broad topic}}" for {{domain}}.
Map the key entities (people, concepts, tools, standards) tied to this topic, flag which ones I currently mention vs. miss, suggest content that demonstrates real E-E-A-T, and recommend how to structure internal links and schema to reinforce entity relationships.
See where you're absent from Google's AI Overview.
For "{{keyword}}", describe the answer a Google AI Overview would likely generate today and the sources it would pull from. Then tell me what my page at {{url}} is missing to be included — specific facts, formats, or freshness signals — and the fastest edits to earn a citation.
Own 'best X' and 'X vs Y' answers in assistants.
Create a structured comparison for "{{category}}" that an AI assistant could cite when asked 'what's the best {{category}}'.
Include a clear criteria table, an honest 'best for' verdict per option, and 3-5 crisp summary sentences a model could quote verbatim. Keep it neutral and factual so it reads as trustworthy.
Match how people actually ask assistants.
Generate 10 conversational questions people would ask an AI assistant about "{{topic}}" — phrased the way they'd type into a chat, not a search box. For each, write a 2-3 sentence answer that's accurate, quotable, and includes the specific detail (number, name, step) a model would want to surface.
Plan assets that earn links, not just reads.
I'm in {{industry}} with {{low/medium/high}} domain authority and capacity for {{output, e.g. 2 posts/month}}.
Suggest 10 link-earning content ideas across: original research/data, free tools or calculators, definitive reference guides, and contrarian takes. For each: who links to it and why, what makes it linkable, and effort to execute.
Human-sounding outreach that actually gets replies.
Write 3 outreach email templates.
My asset: {{describe it and why it's valuable}} | Targets: {{type of sites}} | Ask: {{guest post / resource add / broken-link / expert quote}}
Each: subject under 50 chars (no spam triggers), body under 150 words, a clear reason for THEM to say yes, and personalization points to customize. No 'I came across your wonderful article' openings.
Find dead links you can replace with your page.
Build a broken-link strategy for the {{niche}} space.
Give me: the resource types most likely to have dead links, exact search operators to find resource pages, an efficient way to check for broken links, an outreach template that flags the broken link and offers my replacement, and what replacement content I should prep in advance.
Earn editorial links without a PR agency.
My business is {{description}}; my expertise is {{area}}.
Give me 5 data-driven story angles I could pitch, the publication types that cover my niche, HARO/Connectively response templates for common queries in my space, and how to build a 'newsroom' page that makes journalists want to cite me.
Move link equity to money pages.
Audit my internal linking.
Priority pages + keywords: {{list 5-10}}
Content inventory: {{categories + rough page counts}}
Tell me which priority pages are under-linked, the linking pattern to adopt (hub-and-spoke / contextual), which high-authority pages should pass links down, and a batch process to add them without over-optimizing anchors.
Pitch topics editors actually want.
I want to guest post on {{type of publication}} in the {{niche}} space to earn a link to {{target page}}.
Suggest 8 headline pitches tailored to that audience (not thinly veiled ads for me), the natural place my link fits in each, and a 120-word pitch email for my strongest angle.
Fix crawl paths and topical-authority signals.
Audit the architecture for {{domain}}. Current structure: {{describe URLs, nav, categories}}.
Analyze: is the hierarchy crawl-friendly, are key pages within 3 clicks of home, is internal linking building clear topical signals, are there orphan pages or silos. Give restructuring recommendations tagged critical / important / nice-to-have.
Turn PageSpeed scores into a real fix list.
Help me fix Core Web Vitals for {{domain}}.
LCP: {{score/element}} | INP: {{score}} | CLS: {{score/elements}}
Stack: {{framework, hosting, CDN}} | Third-party scripts: {{list}}
For each failing metric: likely causes given my stack, how to find the specific culprit, step-by-step fixes, expected improvement, and how to prevent regression. Order by impact-to-effort.
Decode Search Console coverage errors.
I'm seeing these issues in Search Console:
{{paste, e.g. 'Discovered – not indexed: 150', 'Crawled – not indexed: 45', 'Duplicate without canonical: 23'}}
For each: the likely cause, how to diagnose the root cause, the technical fix, how to verify it worked, and priority. Flag any that point to a bigger architectural problem.
Unlock rich results without over-marking.
Recommend schema for this page.
URL: {{url}} | Type: {{type}} | Content: {{2-3 sentences}}
Tell me which schema types to implement (Article, FAQ, HowTo, Product, Review, LocalBusiness…), the key properties for each, priority order for SERP impact, schema competitors likely use that I'm missing, and common mistakes to avoid. Then output ready-to-paste JSON-LD for the top pick.
Make sure you're not blocking (or leaking) the wrong pages.
Review my crawl config.
robots.txt:
{{paste}}
Sitemap: {{URL, count, update frequency, page types}}
Find pages being blocked that shouldn't be, pages that should be blocked but aren't, whether the sitemap includes/excludes the right URLs, and any conflicts between robots directives and sitemap inclusions. Recommend a cleaner structure.
Hand developers a prioritized, plain-English list.
Create a page-speed checklist for a {{framework/platform}} site. Known issues: {{list}}.
Cover image, JavaScript, and CSS optimization, server/caching/CDN, and third-party scripts. For each item: what to do, why it matters, and expected impact (high/med/low). Order by impact-to-effort ratio.
AI can draft. It can't earn authority, build links, fix your technical foundation, or get you cited inside AI answers. We run the whole engine so your brand shows up wherever people search — classic results and generative ones.
The honest version — including where prompts stop being enough.
They make the repeatable 80% of SEO faster and sharper — research, briefs, on-page, meta, schema. But prompts don't earn authority. Ranking still depends on genuinely useful content plus the links and technical foundation to support it. Use the prompts to move faster; use a team like AngleOut to close the authority gap.
GEO is Generative Engine Optimization — earning citations inside AI answers from ChatGPT, Gemini, Perplexity, and Google's AI Overviews. Those answers now sit above the classic blue links, so getting quoted there is quickly becoming as important as ranking #1.
Claude tends to produce stronger long-form analysis and technical reasoning; ChatGPT is fast for brainstorming and briefs; Gemini is handy for Google-ecosystem tasks. Most of these prompts work well across all three — swap in your specifics and iterate.
No. Treat every output as a strong first draft. Add real expertise, real data, and a human edit. Publishing raw AI content at scale is exactly what tanks rankings and trust.
The prompts are the DIY path. AngleOut runs the full engine for you — strategy, content, links, technical, and GEO — so your brand shows up in both Google results and AI answers. You get the outcome without staffing the whole SEO function.