INDEXED.

AI Prompts for Small Business SEO

Ready-to-use prompts for SEO, AEO and GEO, written for small business and no-code website owners. Copy and paste into ChatGPT, Perplexity, Gemini, Claude, Copilot or any other AI tool.

Keyword Research3 prompts

Long-tail keyword finder

I am creating content about [TOPIC] for [TARGET AUDIENCE].

Generate 20 long-tail keyword ideas that:
- Have clear search intent (informational, commercial or transactional)
- A beginner website could realistically rank for
- Include natural question-based phrases people type into Google
- Include phrases people ask AI tools like ChatGPT and Perplexity

For each keyword, state: the keyword, its likely intent, and why it is winnable for a newer site.

Topical gap finder

My website covers [YOUR TOPIC]. My main competitors are [COMPETITOR 1] and [COMPETITOR 2].

Identify keyword and topic gaps - subjects they likely rank for that I am probably missing. Focus on:
- Informational topics a beginner would search
- Questions that appear in Google's "People Also Ask"
- Phrases that would likely appear in AI Overview answers

List 15 gap topics with the search intent for each.

Keyword clustering

Here is a list of keywords related to [TOPIC]:
[PASTE YOUR KEYWORDS HERE]

Group these into topic clusters where:
- Each cluster has one primary keyword (the pillar topic)
- Supporting keywords that share the same search intent sit under it
- Suggest whether each cluster needs one page or multiple pages
- Identify which clusters are most likely to be cited by AI tools
Content Briefs4 prompts

Full content brief

Create a detailed content brief for an article targeting the keyword: [KEYWORD]

The target audience is: [AUDIENCE]

Include:
1. Recommended title tag (50-60 characters)
2. Meta description (120-155 characters)
3. H1 heading
4. Suggested H2 and H3 structure
5. Key questions to answer (use "People Also Ask" style)
6. Word count recommendation
7. Internal linking suggestions
8. Schema markup recommendation (FAQ, HowTo, Article)
9. E-E-A-T signals to include (author bio, sources, date)
10. One section specifically optimised to be cited by AI Overviews

Third-party mention strategy

My brand is [YOUR BRAND] in the [YOUR INDUSTRY] space. I want to appear as a recommended brand in AI search results like Google AI Overviews, ChatGPT and Perplexity.

Research shows that self-promotional "best [category]" listicles now backfire for smaller brands - Google cites them but recommends competitors instead. I need a strategy based on earning genuine third-party mentions.

Help me:
1. Identify 15 types of independent sites that mention brands in my category (review sites, directories, comparison sites, industry blogs, newsletters, podcasts)
2. Suggest what I need to do to get listed on each type
3. Create a template outreach message I can send to independent reviewers
4. Identify what content on my own site would make it easy for others to find and accurately describe what I do
5. Suggest 5 angles for genuinely useful articles I could write that would earn organic mentions from other sites - not self-promotional, but genuinely helpful to my industry

The goal is earned recommendations, not engineered citations.

Answer-first paragraph writer

Write an answer-first opening paragraph for a page about [TOPIC].

Requirements:
- The very first sentence must directly answer the implied question
- Keep it under 60 words
- Use plain language a 14-year-old could understand
- Include the primary keyword naturally
- Structure it so an AI tool could extract it as a standalone answer
- Do not start with "In today's world" or any filler phrase

FAQ section builder

Generate a FAQ section for a page about [TOPIC] targeting [AUDIENCE].

Requirements:
- 8 to 10 questions
- Questions must match real search queries (how someone would actually type it)
- Each answer must be 2 to 4 sentences, direct and specific
- Include at least 3 questions that appear in Google's "People Also Ask" for this topic
- Format answers so they can be extracted by AI tools as standalone responses
- Suitable for FAQPage schema markup
AI Overview Optimization3 prompts

AI citation readiness audit

Review this content and tell me how likely it is to be cited by Google AI Overviews, ChatGPT or Perplexity when someone searches for [TARGET QUERY].

[PASTE YOUR CONTENT HERE]

Evaluate:
1. Does it have a clear direct answer in the first paragraph?
2. Are there structured Q&A sections?
3. Is the language specific and factual or vague?
4. Are there citations or evidence to back claims?
5. Is there schema markup potential?

Score it 1-10 for AI citation likelihood and explain the top 3 improvements.

Prompt decomposition for a topic

Someone asks an AI tool: "[USER PROMPT]"

Before the AI can answer this, it needs to understand several sub-questions. List all the sub-questions the AI must resolve internally to give a good answer.

Then for each sub-question:
- Suggest what type of content would answer it best
- Suggest what schema markup would help
- Rate how well a typical website addresses this sub-question (most do not)

This will help me build a content strategy around the full topic, not just the surface prompt.

Entity optimization

My page is about [TOPIC]. Help me optimize it for entity-based search and AI citation.

1. What is the main entity this page should be about?
2. What related entities should be mentioned and why?
3. What attributes of the main entity should be clearly stated on the page?
4. What questions does the Knowledge Graph associate with this entity?
5. Which entity relationships are most important for AI tools to understand?
6. Suggest 5 specific sentences I could add to strengthen entity signals.
Topical Maps2 prompts

Full topical map builder

Build a topical map for a website about [MAIN TOPIC] targeting [TARGET AUDIENCE].

Structure:
1. List 3 to 5 pillar pages (broad, high-authority topics)
2. For each pillar, list 5 to 8 supporting cluster articles
3. For each cluster article, suggest the primary keyword and search intent
4. Suggest internal linking direction (which clusters link to which pillars)
5. Identify which topics are most likely to appear in AI Overviews
6. Flag any topic gaps that competitors are likely exploiting

Format as a clear hierarchy I can use to plan my editorial calendar.

Internal linking strategy

I have the following pages on my website:
[LIST YOUR PAGES/TOPICS]

Create an internal linking strategy that:
- Passes authority to my most important pages
- Uses descriptive anchor text (not "click here")
- Creates clear topic clusters
- Identifies which pages should be my pillar pages
- Suggests 3 to 5 internal link opportunities per page
- Considers how AI tools crawl and map site structure
Technical SEO3 prompts

Robots.txt reviewer

Review this robots.txt file and identify any issues:

[PASTE ROBOTS.TXT HERE]

Check for:
1. Important pages or directories being accidentally blocked
2. Crawl budget waste on low-value pages
3. Whether AI crawlers (GPTBot, ClaudeBot, PerplexityBot) are blocked or allowed
4. Sitemaps correctly declared
5. Any syntax errors

Explain each issue clearly and suggest the corrected version.

Schema markup generator

Generate valid JSON-LD schema markup for the following page:

Page type: [Article / FAQ / HowTo / LocalBusiness / Product]
Page title: [TITLE]
Page URL: [URL]
Description: [BRIEF DESCRIPTION]
Author: [AUTHOR NAME]
Date published: [DATE]

Requirements:
- Valid schema.org markup
- Include all recommended properties for this type
- Add FAQPage schema if the page has Q&A sections
- Output only the JSON-LD code block, ready to paste

Core Web Vitals fixer

My page has the following Core Web Vitals scores:
LCP: [VALUE] seconds
INP: [VALUE] ms
CLS: [VALUE]

The page is built with: [TECHNOLOGY - e.g. WordPress, Next.js, Shopify]

For each failing metric:
1. Explain clearly what it means for a user
2. List the most likely causes for this specific score
3. Give me 3 to 5 actionable fixes I can implement without a developer
4. Give me 2 to 3 fixes that need developer help
Original Data & Unique Angles4 prompts

Zero-budget original data angle finder

My website is about [YOUR TOPIC] and I want to create content that AI tools like ChatGPT and Perplexity will actually cite. LLMs do not cite content that restates what they already know.

Help me find 10 zero-budget ways to create original data or unique angles for this topic. For each idea, suggest:
1. What I would observe, count or test
2. How long it would take manually
3. What the resulting article title could be
4. Why an AI tool would find this worth citing

Focus on approaches anyone can do: manual audits, personal experiments, compiling public data in a new way, documenting a real mistake with actual numbers, or testing a tool and publishing real results with screenshots.

Manual audit article planner

I want to create original research content by manually auditing [NUMBER] examples of [WHAT YOU WILL AUDIT - e.g. "the top 30 SaaS homepages" or "20 local plumber websites"].

Help me plan this audit:
1. What specific data points should I record for each example? (suggest 8-12 measurable things)
2. How should I structure the findings article for maximum AI citation potential?
3. What surprising or counterintuitive finding should I specifically look for?
4. What should the article title be to maximise search visibility?
5. Which AI citation signals should I include (FAQ schema, direct answer in opening, statistics)?

The goal is one original, citable article that contains data no AI tool could generate from its training.

Personal experiment to publishable article

I want to document a real experiment or test I ran and turn it into citable content. Here is what I did or what I want to test:

[DESCRIBE YOUR EXPERIMENT OR RESULT - e.g. "I tested three different meta description lengths on my site for 30 days and tracked CTR in Google Search Console"]

Help me:
1. Structure this as a publishable article with maximum AI citation potential
2. Write the opening paragraph using answer-first structure
3. Suggest what data to present and how (tables, specific numbers, before/after)
4. Create 5 FAQ questions readers would have about this experiment
5. Suggest the exact schema markup types to use
6. Write a title tag and meta description

The article should contain data that is impossible to replicate without running the same experiment.

Mistake documentation article

I want to write about a real mistake I made related to [TOPIC] and document exactly what happened and how I fixed it.

The mistake: [DESCRIBE WHAT YOU DID WRONG]
The result: [WHAT HAPPENED - ideally with numbers]
The fix: [WHAT YOU DID TO RESOLVE IT]
The outcome: [WHAT HAPPENED AFTER THE FIX - with numbers if possible]

Help me turn this into a high-citation article:
1. Write an answer-first opening (the lesson in one sentence)
2. Structure the narrative with clear before/after data
3. Create an FAQ section for follow-up questions readers would have
4. Suggest a title that captures the specific mistake and fix
5. Identify what makes this uniquely citable (what data does only I have?)

Real documented mistakes with actual numbers are among the most-cited content by AI tools.
Local SEO2 prompts

Google Business Profile optimizer

I run a [TYPE OF BUSINESS] called [BUSINESS NAME] in [CITY, COUNTRY].

Help me optimize my Google Business Profile:
1. Write a compelling business description (750 characters max)
2. Suggest the 5 most important primary and secondary categories
3. List the attributes I should enable
4. Write 5 Google Post ideas for the next month
5. Suggest 10 questions I should add to the Q&A section with answers
6. Write a response template for positive reviews
7. Write a response template for negative reviews

Local content strategy

I run a [TYPE OF BUSINESS] in [CITY].

Create a local SEO content strategy:
1. 10 locally-targeted blog post ideas (include the city name naturally)
2. 5 landing page ideas for nearby areas or neighbourhoods
3. Local link building opportunities (directories, local press, community sites)
4. NAP consistency checklist
5. Which schema types to use (LocalBusiness, Service, Review)
6. How to structure content to appear in "near me" searches and AI local answers
Diagnose & Fix4 prompts

These prompts work best with real search data. If you have Google Search Console set up, go to Performance → Search results → Export to download a CSV, then paste it where the prompt indicates. Open Search Console

Striking distance decoder

I am going to paste my Google Search Console performance data below.

Find every keyword where my page is ranking in positions 11 to 20 (page two of Google). For each one:
1. Show the keyword, current position, impressions and clicks
2. Estimate how many extra monthly clicks I would get by reaching position 1-5
3. Explain in one sentence what is most likely holding it back (thin content, missing keyword in title, weak internal links, etc.)
4. Give me one specific action to take this week to push it onto page one

Sort by the traffic opportunity - biggest wins first.

Here is my Search Console data:
[PASTE YOUR GSC EXPORT HERE - Performance > Search results > Export]

Title tag doctor

I am going to paste my Google Search Console performance data below.

Find every page that has high impressions but a click-through rate below 3%. These are pages Google is already showing - they just are not being clicked.

For each page:
1. Show the current URL, impressions, clicks and CTR
2. Identify the most likely reason the title is underperforming (too generic, missing the keyword, no benefit stated, too long/short, boring vs competitors)
3. Write a new title tag (50-60 characters) that would earn more clicks - make it specific, benefit-led, and match what the searcher actually wants

Show me the 10 biggest opportunities first.

Here is my Search Console data:
[PASTE YOUR GSC EXPORT HERE - Performance > Search results > Export]

Cannibalization finder

I am going to paste my Google Search Console performance data below.

Find every case where two or more of my pages appear to be competing for the same keyword or very similar keywords. This is called keyword cannibalization - it splits my traffic and confuses Google about which page to rank.

For each conflict:
1. List the competing URLs and the shared keyword(s)
2. Explain which page Google currently seems to prefer (higher position, more clicks)
3. Recommend whether to consolidate the pages, redirect one, or differentiate their intent
4. Give me the specific action to take

Here is my Search Console data:
[PASTE YOUR GSC EXPORT HERE - Performance > Search results > Export]

Decay scanner

I am going to paste my Google Search Console performance data below.

Compare my recent traffic (last 28 days) against the previous period and find every page where clicks have dropped by 20% or more. These pages are decaying and need attention before they fall off page one entirely.

For each declining page:
1. Show the URL, old clicks, new clicks and the percentage drop
2. Identify the most likely cause (content gone stale, competitor published something better, Google algorithm change, seasonality)
3. Tell me whether it is worth refreshing or consolidating
4. Give me one specific action to take this week

Sort by the biggest absolute drop in clicks first.

Here is my Search Console data (two date ranges):
[PASTE YOUR GSC EXPORT HERE - use the Compare dates option in GSC]