Video summary

The Complete AI SEO Course 2026 (Rank #1 on Google Using Claude & ChatGPT)

Main summary

Key takeaways

Educational

Main ideas / lessons

  • AI SEO in 2026 is a full pipeline, not a single task. Ranking depends on an end-to-end system that connects: keyword research → page creation → on-page SEO → internal linking → publishing/indexing → AI visibility/citations/mentions tracking → backlinks/mentions.

  • New terminology, but old SEO still matters. The video emphasizes GEO (Generative Engine Optimization)—being included in generated answers (e.g., GPT responses, Google AI Overviews, Perplexity) rather than only “blue link” results.

  • AI-focused KPIs are different from classic SEO KPIs. In addition to clicks/rankings, the key measures are:

    • Citations (AI uses your content)
    • Mentions (AI names your brand/business)

  • Myth-busting:

    • Google does not penalize “AI content” itself; it penalizes thin/spammy low-value content.
    • Model choice (ChatGPT vs Claude vs Gemini) is not a direct ranking factor; use what you already pay for.
    • AI didn’t erase SEO rules; GEO is built on top of classic SEO.

Methodology / step-by-step system

0) Set up an AI “project” for context (recommended workflow)

  • Create a project in your AI workspace so the AI retains business/strategy context across the whole process.
  • Use the video’s provided business brief prompt (copied into GPT/Claude) to generate a business info text file.
  • In the project, attach/drop the resulting .txt file so the AI can reference your business details during later steps.

1) Module: SEO in 2026 (framework + goals)

  • Understand GEO as the goal of getting included in AI-generated responses.
  • Learn the two additional KPIs beyond traditional SEO:
    • Cited: content is used by AI to construct answers
    • Mentioned: AI explicitly names your brand/business

2) Module: Keyword research (transactional + informational, GEO-aware)

2A) Find your transactional keywords (service-intent)

  • Use an SEO tool (examples mentioned: Datawise, Ahrefs, SEMrush).
  • Start with your list of services (optionally extracted by AI from the business brief).
  • In the tool:
    • Look up each service keyword (e.g., “EV charger installation”)
    • Check:
      • estimated monthly search volume
      • keyword difficulty (0–100)
      • CPC (ad competitiveness proxy)
  • Save keywords to a planner.

2B) Expand with suggested/related keywords

For each transactional “seed” keyword, gather related keywords such as:

  • installation variations (e.g., level 1/level 2)
  • costs (e.g., “installation cost”)
  • buyer intent modifiers (“companies,” “rebates,” “requirements,” “contractor”)
  • vehicle/brand-specific versions (e.g., BMW/chevy examples)
  • residential vs commercial intent (“for businesses,” etc.)

Save expanded lists to the planner.

2C) Cluster transactional keywords (group into page clusters)

  • Use the tool’s cluster feature:
    • confirm a cluster around the seed keyword
    • get an estimated total search volume (directional, not absolute)
  • Export (CSV) and load into AI sources if desired.

2D) Find informational keywords (two types)

  1. People Also Ask (PAA) / question keywords

    • Pull questions and their follow-up questions (expand/click down).
    • Example topics: “price,” “permit,” “can a normal electrician install,” etc.
    • Select questions relevant to your business; don’t assume blindly—verify relevance.

  2. Fan-out queries (AI internal question expansion)

    • Use the tool’s “fan out queries” to capture AI’s subsequent internal questions.
    • Review and select only relevant ones (some may not match your offering).

Save both PAA and fan-out query datasets into your project.

2E) Repeat for all services

  • Perform the same transactional + informational extraction for each core service keyword.

3) Module: Competitor analysis (replicate the “winning system”)

  • Purpose: don’t reinvent; move faster by learning what already works.
  • Focus on four areas:
    1. Which keywords they rank for
    2. Which pages are winning (URL types: blog posts, location pages, service pages, etc.)
    3. Their site structure / sitemap scope (how many pages they likely have to support rankings)
    4. Backlinking profile (how hard it may be to outrank based on authority)

Suggested competitor workflow

  • Identify top-ranking competitors for each major service keyword (avoid sponsored results).
  • Use the competitor tab in the SEO tool to compare up to ~5 competitors.
  • Choose the competitor with the most ranking keywords/organic traffic, then:
    • export their “ranked keywords”
    • inspect winning URL patterns (often blogs + location pages in the example)
  • Analyze their sitemap.xml
    • provide it to AI and prompt it to “tidy up” into categories like transactional pages, locations, blogs
  • Check backlinks:
    • total backlinks
    • referring domains
    • spam score
    • note authority strength needs

4) Module: Build two main page types (“Money pages” and “Content pages”)

4A) Money pages (transactional service pages)

Core rules (the “four things” checklist plus key directive):

  • Do not use one page for all services
    • Rule: One page per service (major stated mistake).
  • Ensure intent match
    • The page must satisfy the specific service search intent.
  • Use one main keyword per page
  • Add Schema
    • service schema is emphasized; use plugins then validate.
  • Use conversion-friendly design (especially above the fold)

Two-second rule (above-the-fold performance test): Within ~2 seconds after landing, a visitor must know:

  1. What you do
  2. Where you do it (local area)
  3. What to do next (primary CTA/action)

Money page checklist (as described)

  • Above the fold:
    • passes 2-second rule
    • headline is plain/clear
    • H1 states exactly what you do
    • answers feasibility (e.g., “Can you do this for me?”)
    • primary CTA above the fold
  • Body:
    • use real work/examples (not only stock photos)
    • include pricing when possible
  • FAQs:
    • include up to ~5 relevant FAQs
  • Structural elements:
    • title tag + meta description set
    • H1 once; other headings H2/H3/H4 allowed
    • service schema implemented/validated
  • Experience:
    • include real/practical insights and outcomes where relevant
  • Template guidance:
    • create one “good” service template, then adapt per service (not copy-paste clone; change content meaningfully).

4B) Content pages (informational pages meant to be cited)

Primary concept: Content capsule technique (for AI citations).

  • Definition: a short, self-contained answer placed immediately under a question heading.
  • Structure emphasis:
    • Write ~60–70% of the article using the capsule technique.
    • Each capsule should answer the question directly right under the relevant heading.
  • Capsule length:
    • target ~20–25 words (if longer than ~50, it’s okay only if still answering directly)
  • Linking rules inside capsules:
    • Do not place links inside the capsule section itself.
    • Cite sources when stating facts, especially numbers:
      • link to credible/contextual sources that support claims.
  • Experience is important:
    • add your own real-world experience/results (AI can’t replicate it the same way).

Content writing process (prompted workflow)

  • Use the provided “content capsule” prompt (from their community lesson).
  • Feed:
    • topic (from informational keyword research)
    • audience
    • goals
  • Let the AI:
    • propose structures/table/sections/FAQ
    • find sources for citations
    • draft content in the expected capsule format
  • Then iterate manually:
    • inject your experience where needed
    • verify/correct citations and internal links

Formatting + media suggestions

  • Add visuals (optional but recommended for engagement):
    • use AI to generate illustration
    • export optimized image formats (convert PNG → WebP)
    • avoid heavy PNGs to reduce load time
  • Add internal links to relevant service/money pages.
  • Use SEO plugins to generate title tag/meta description if needed.
  • AI blog workflow includes requesting:
    • meta description under 150 characters
    • ensure main keywords in title.

5) Module: Website build (plan first, deploy, index)

  • Plan the website structure before building (treat it like getting ingredients before cooking).
  • Use the “site structure build prompt” in the AI project to generate a CSV-like blueprint including:
    • home/services hub pages
    • service pages (e.g., /services/EV-charger-installation)
    • location/service URL patterns
    • page type, title tag, focus keywords, areas served

URL structure guidance

  • Stay consistent (don’t overthink whether location comes before/after service in the slug).
  • Example structure shown: services/<service>/<location>.

Deploy + submit

  • Connect to Google Search Console.
  • Submit a sitemap.xml so Google can discover pages.
  • Use the provided launch checklist sheet (tab mentioned as “launch”) before going live.

6) Module: On-page SEO check (use quick auditing)

Five (six incl. speed) quick checks:

  • Title tag
  • Meta description
  • H1
  • H2s
  • Schema
  • (Additional) Speed/performance
    • test using Chrome Lighthouse via Developer Tools

Use a free browser extension (example: SEO Wallet) to visually check:

  • title/meta/heading presence
  • schema validation
  • match to intended keywords

7) Module: Internal linking (make crawlable + distribute authority)

Why internal linking matters (3 core reasons):

  1. Makes the site more crawlable/indexable for search (and AI crawlers)
  2. Helps navigation for users and crawlers
  3. Passes authority deeper into the site

Implementation guidance

  • In blog posts, link to relevant money/service pages where it makes sense (don’t force it).
  • Tools mentioned:
    • Link Whisperer (WordPress internal link suggestions)
    • Datawise writer can generate internal links automatically if given proper page context.

8) Module: AI visibility + tracking (measure citations/mentions)

  • Use AI to interpret data, but still focus on concrete metrics.

Core metrics emphasized (the “four numbers”)

  • Impressions (seen)
  • Clicks
  • Average position (across ranked keywords)
  • Queries

Data sources mentioned

  • Google Search Console (source of truth for classic performance)
    • watch impressions, clicks, average position
  • Bing Webmaster Tools AI performance (for AI citation signals)
    • citations
    • average cited pages
    • queries
  • Datawise “AI visibility” dashboard
    • check citations/mentions across AI platforms (e.g., Google AI Overviews, GPT, Perplexity)
    • includes tools like brand tracker

Decision guidance

  • Don’t chase perfect benchmarks.
  • Focus on month-to-month improvement in citations/mentions/click performance.

9) Module: Backlinks + “mentions as authority”

Core philosophy

  • Backlinks still matter; mentions/citations in AI are treated like a parallel signal.
  • Metaphor:
    • website = a city
    • links = roads → more/high-quality roads = more authority

Backlink quality > quantity

  • Emphasize relevance and quality.
  • If you can’t outrank competitors with on-page/content, you may need backlink work.

How to start getting backlinks (ranked suggestions)

  1. Local citations (local service businesses)

    • Use business directories for NAP consistency (Name, Address, Phone).
    • Tools:
      • ChatGPT/GPT prompts to generate directory lists
      • BrightLocal mentioned for citation services
    • Warnings:
      • avoid low-quality Fiverr “bulk citations” deals with suspicious pricing
      • keep NAP consistent

  2. HARO-style expert responses via Connectively

    • Answer publisher questions as a subject matter expert
    • If selected, you get cited/linked
    • Mentioned performance example: 5 published out of 12 pitched

  3. Paid link acquisition (transparent “dirty secret”)

    • Claim: many competitive niches buy backlinks
    • Advice:
      • verify what a provider does
      • quality, relevance, and safety matter
      • avoid blindly trusting Fiverr link sellers

Timing guidance

  • You do not need backlinks immediately at launch.
  • Start with free steps (like local citations).
  • Add links later if competitors remain unbeatable after correct SEO + content + indexing.

Speakers / sources featured

  • Speaker (primary): Nico (identified as the instructor/host; “my name is Nico”)

  • Sources/tools referenced (not as interviewed speakers):

    • ChatGPT
    • Claude
    • Google AI Overviews / Google AI
    • Perplexity
    • Datawise (tool; claimed to be built for their paying community)
    • Ahrefs / SEMrush (mentioned as alternatives)
    • Google Search Console
    • Bing Webmaster Tools
    • Chrome Lighthouse (performance testing)
    • SEO Wallet (browser extension mentioned)
    • SEO Yoast / SEO Math / SEO Rank (schema plugins mentioned)
    • Link Whisperer (WordPress internal linking plugin mentioned)
    • BrightLocal (local citations service mentioned)
    • Connectively (HARO-like service mentioned; formerly feature.com/possibly HARO references)
    • Napkin (illustration tool mentioned)
    • (Backlink agency examples) Get Me Links, Rhino Rank (mentioned)
    • Alejandro Mayor Ehsans (named in context of Get Me Links owner/representative)
    • “Google” and “peer-reviewed” studies referenced conceptually (no specific paper title cited)

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