keyword-research

$27

Method

Purpose

User perspective

What pain points? What would they search? Customer language from product context

Tool expansion

Related keywords, questions, suggestions; Google autocomplete, PAA, Related Searches

Competitor reverse

Analyze competitor titles, H1, URL; identify topics they rank for; find gaps (#4–10 = opportunity) — see competitor-research

Google PAA

People Also Ask and Related Searches; high-value signals from real user behavior

Extract from article

When auditing existing content: extract seed keywords from title, H1, H2s, meta keywords, first 100 words; then search "[primary keyword]" or "[primary keyword] related keywords" for opportunities; use "[primary keyword]" site:competitor.com if competitors known

Google Autocomplete (Long-Tail Discovery)

Google autocomplete reflects real user searches; suggestions only appear if queries have actual traffic. Free; often uncovers low-volume long-tail that keyword tools miss. ~70% of search traffic is long-tail; lower competition, higher conversion.

Alphabet method (seed + space + letter):

• Type seed keyword + space + each letter: keyword a, keyword b, ... keyword z

• Record relevant suggestions; repeat with numbers 0-9

• Example: SEO a -> "SEO audit," "SEO agency"; SEO b -> "SEO basics," "SEO best practices"

Position variants (seed in different positions):

• Prefix: a keyword, b keyword (discover what users add before)

• Suffix: keyword a, keyword b (most common; alphabet method)

• Middle: how to keyword a, best keyword for (question + modifier combos)

Question modifiers:

• how to keyword, what is keyword, why keyword, when to keyword, keyword vs

• keyword for beginners, keyword for small business, keyword without

Why it works: Keyword tools filter low-volume terms; autocomplete only shows queries with real traffic. Use with PAA and Related Searches for full coverage. Categorize results by intent (informational, commercial, transactional).

Incremental Discovery

• User feedback: Support, community, reviews, NPS—high-frequency questions = unmet search demand

• Multi-platform search: Reddit, Quora, X (Twitter), Hacker News—real questions and discussions

Search Intent

Intent

Content type

Example

Informational

Blog, guide, FAQ

"how to optimize sitemap"

Navigational

Brand page

"alignify login"

Commercial

Comparison, review

"SEO tools comparison"

Transactional

Product, pricing

"best SEO tool pricing"

Intent Identification

Modifier words (often signal intent):

Intent

Modifiers

Informational

"how," "what," "why," "guide," "tutorial"

Commercial

"best," "compare," "vs," "review," "top"

Transactional

"buy," "price," "cheap," "coupon," "free shipping"

Local

Location names

SERP check: Search the term—knowledge cards/Wiki → informational; product lists/reviews → commercial; brand sites → navigational. Broader terms often show mixed SERP. See serp-features for feature types.

Long-Tail Expansion

• Google Autocomplete: Alphabet method, position variants, question modifiers; see above. Primary source for long-tail.

• Intent modifiers: Core + "how," "best," "vs," "compare," "price"

• Question words: "how to," "what is," "why," "when"

• Functional modifiers: Core + "-er/-or" (e.g., "image optimizer" for tool-type queries); often higher conversion

• Clustering: Group by SERP overlap (same top pages), semantic similarity, or intent.

Keyword Clustering & Topical Map

Method

Use

SERP overlap

Keywords with overlapping top-ranking pages → same cluster

Semantic

Group by meaning, LSI, related concepts

Intent-based

Group by intent; separate pages if intent differs within cluster

Pillar–cluster (map keywords to structure):

• Pillar (Hub): Broad topic page; links to clusters

• Cluster (Spoke): Focused subtopic; links back to pillar

• Target long-tail first; then pillar. Interlink clusters within topic.

• See content-strategy for full pillar-cluster planning and implementation.

Evaluate & Screen

Factor

Consider

Search volume

Monthly searches; ~100+/month typical floor; niche can relax

Keyword difficulty (KD)

New sites target lower KD

CPC

Higher CPC often = stronger commercial intent

SERP features

Featured Snippet, PAA, zero-click; SERP features can satisfy intent without click—affects real traffic; see serp-features (Zero-Click section), featured-snippet

Screening order

1) Remove irrelevant 2) Filter very low volume 3) Assess achievability 4) Prioritize commercial/transactional

Product Positioning Test (SEO Fit)

Test if positioning is clear enough for search:

• XXX + Function words: Generator, Creator, Maker, Builder, Changer, Shortener, Scraper, Converter, Downloader, Translator, Extender, Summarizer, Resizer, Remover, Extractor, Recorder, Rewriter, Solver, Calculator; or Platform, Tool, Software, App, Provider, Assistant, Copilot

• Input + to + Output: e.g., "image to video," "text to speech"—clear input/output signals intent

Agent/Copilot products: Pure native Agent hard to grow via SEO; users rarely search "agent." Release related features first (e.g., CRM, sales bot for sales agent) to build traffic, then funnel to Agent product.

Principles

• Core rule: Someone must search it—validate with tools; avoid inventing terms

• Functional keywords: Tool-type (-er/-or) often convert better; users are closer to action

• Multi-language: Re-research in target language; don't translate existing lists. See translation for translation workflow.

SEO–PPC Keyword Synergy

Keyword research serves both SEO and Google Ads. Align both channels to avoid duplication, cannibalization, and wasted spend.

Data flow

Use

keyword-research → google-ads

Keyword list, clusters, intent; support terms (login, forum, pricing) → negative keywords for PPC

google-ads → keyword-research

PPC conversion rate, Search Terms report → SEO priority; high-converting PPC terms = worth ranking organically

keyword-research → landing-page

Clusters → dedicated LP per intent; PAA questions → FAQ sections

GSC organic rank 4+

If you rank well organically, consider reducing/pausing PPC on those terms to avoid cannibalization

PPC data for SEO priority: SEO ROI ≈ (Organic clicks × PPC conversion rate × Customer value) − SEO cost. Use PPC conversion data to validate which keywords to pursue in organic.

Reference: Backlinko – SEO and PPC: 8 Smart Ways to Align

Data Sources

Source

Use

Ahrefs

Keywords Explorer, Site Explorer

SEMrush

Keyword Overview, Organic Research

GSC

Search queries, impressions, clicks

GA

Traffic by landing page

PostHog

Feature/search usage

Report Workflow

• Parse — Read Excel/CSV, infer keyword, volume, KD, intent, etc. from headers

• Enrich — Web search, visit competitor/product pages; read project-context.md if present

• Build — Structure data for report

• Generate — Output report in chosen format

Output Format

• Keyword list with volume, KD, intent

• Keyword mapping to pages/content

• Content gaps (competitors rank, you don't)

• Priority ranking for implementation

• Topical map (cluster → pillar → page mapping)

Report Structure Reference

Section

Content

Executive Summary

Priorities (top 3)

Keyword Overview

Total keywords, primary intent, avg KD, content gaps count

Keyword List

Keyword, volume, KD, intent, priority, target page

Keyword Mapping

Page/URL, target keywords, status

Content Gaps

Keywords competitors rank for that you don't

Action Plan

Priority, action, impact, effort

Appendix

Search intent reference (Informational, Commercial, Transactional, Navigational)

Related Skills

• seo-strategy: SEO workflow, Product-Led SEO, audit approach; keyword research is Content phase

• google-ads: Keywords inform Search targeting; PPC data feeds back into SEO priority

• paid-ads-strategy: When to use paid vs organic; channel selection

• content-strategy: Keywords inform content plan; topic clusters

• content-optimization: Keyword placement, density vs stuffing, H2 keywords

• title-tag, meta-description: Keywords in title, description

• heading-structure: Keywords in H1, H2

• link-building: Keywords inform link targets

• serp-features: SERP features in keyword screening; PAA, Featured Snippet

• featured-snippet: Snippet-worthy query targeting

• competitor-research: Competitor keyword/topic analysis; reverse engineering

• faq-page-generator: PAA questions to FAQ sections; question-based keyword to FAQ content