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🧭 Strategy & Search Intent (Before You Generate)

  • Define the Business Goal of Every AI-Assisted Page
    Before prompting, write one sentence: which query the page targets, who the reader is, and what action it should drive (demo, add to cart, call). Pages generated “because the keyword has volume” rarely rank or sell. If you can’t name the goal, don’t publish the page.
  • Match the Format to the Real Search Intent
    Google the target query and look at what ranks: product pages, comparisons, how-to guides, videos, or local results. LLMs default to generic blog-style prose. If the SERP shows category pages or tools, a 2,000-word AI article will not compete—build the format Google already rewards.
  • Identify the Information Gain You Will Add
    Open the top 5 results and list what they all say. Your page needs something they don’t have: your own data, prices, test results, photos, customer cases, or a clear opinion. An LLM can only remix what already exists, so the unique part must come from your business.
  • Brief the AI With Your Own Facts, Not Just a Keyword
    Feed the model a structured brief: product specs, pricing, USPs, customer objections, support tickets, sales-call notes, and internal expert comments. Output quality depends on input quality. “Write an article about X” produces the same text your competitors already published.
  • Check for Keyword Cannibalization Before Publishing
    Mass AI generation often creates several pages for the same intent (“best CRM for startups” and “top CRM for small startups”). Search your site and Google Search Console for existing URLs on the topic. Update and expand the stronger page instead of creating a competitor for it.
  • Mark YMYL Topics for Stricter Review
    Content about health, finance, legal, safety, or large purchases (“Your Money or Your Life”) is judged by a much higher trust standard. Flag these pages in your workflow: they need a qualified reviewer, cited sources, and no AI-only publishing. One wrong claim here can hurt users and your whole domain’s reputation.
  • Set a Human Owner for Each Page
    Assign a named person who is accountable for the accuracy of every AI-assisted page—not “the content team.” The owner approves the final version, answers comments, and updates the page when facts change. No owner means nobody notices when the content becomes outdated or wrong.

🔍 Fact-Checking & Hallucination Control

  • Verify Every Number, Date, and Statistic
    LLMs confidently invent percentages, market sizes, and “studies show” claims. Highlight every figure in the draft and trace it to a primary source (official report, original study, your own analytics). If you can’t find the source in 2 minutes, delete or replace the number. Fabricated stats are the fastest way to lose trust and links.
  • Click Every Link and Citation the AI Provided
    Models generate URLs and paper titles that look real but lead to 404s or to pages that say something different. Open each link, confirm it exists, and confirm it actually supports the sentence it is attached to. Prefer primary sources over blog posts that quote other blog posts.
  • Validate Product Specs Against Your Source of Truth
    Compare dimensions, materials, compatibility, warranty, ingredients, and included items with your PIM, supplier sheets, or packaging. AI often “fills gaps” with typical values for the category. A wrong spec leads to returns, chargebacks, negative reviews, and in some niches, legal liability.
  • Check Prices, Plans, Shipping, and Policies
    AI copy frequently mentions outdated prices, free shipping that doesn’t exist, or return periods copied from competitors. Cross-check every commercial promise with your current pricing page, checkout, and terms. Customers treat on-page promises as binding—and so do consumer protection regulators.
  • Remove Invented Quotes, Experts, and Case Studies
    Search the draft for quotation marks, names, company names, and “according to” phrases. Delete any quote you didn’t personally collect and any case study that didn’t happen. Fake testimonials and fabricated experts can breach consumer protection rules (e.g., the FTC rule on fake reviews and testimonials) and destroy credibility if exposed.
  • Confirm Information Is Current
    Models have training cutoffs and may describe old software interfaces, retired regulations, discontinued products, or last year’s algorithms. Check every time-sensitive statement against the vendor’s current documentation or official source. Add “as of [month, year]” only where recency genuinely matters to the reader.
  • Verify Competitor and Third-Party Claims
    Statements about competitors’ features, pricing, or limitations must be accurate and verifiable—otherwise you risk misleading comparisons and legal complaints. Check the competitor’s official website on the day of publication and avoid absolute claims (“the only”, “the cheapest”) you can’t prove.
  • Test Instructions and How-To Steps Yourself
    If the article explains how to set up, install, fix, or cook something, actually follow the steps. AI regularly invents menu names, skips steps, or mixes versions. A tutorial that doesn’t work generates bounces, support tickets, and angry comments—and it signals zero first-hand experience.
  • Run a Second-Model or Search-Grounded Cross-Check
    Ask a different model (or a search-grounded tool) to list every factual claim in the draft and flag which ones are unverifiable or contradicted. This doesn’t replace human review, but it quickly surfaces risky sentences. Treat the output as a to-do list for a human fact-checker, not as proof.

🧑‍🔬 Experience & Expertise (E-E-A-T)

  • Add First-Hand Experience AI Cannot Fake
    Experience is the first “E” in E-E-A-T. Add what only someone who used the product or service knows: what surprised you, what broke, how long it really took, what you would do differently. Phrases like “we tested”, “our customers told us”, backed by specifics, separate you from generic AI text.
  • Include Original Photos, Screenshots, and Video
    Replace stock images and AI illustrations with real photos of products, your team, your warehouse, or screenshots from your own account. Original visuals prove the experience claimed in the text and increase conversions. Keep file names and alt text descriptive.
  • Insert Real Expert Quotes and Internal Insights
    Interview your product manager, engineer, doctor, lawyer, or senior support agent for 15 minutes and add 2–4 attributed quotes. Name, role, and a link to their profile make the quote verifiable. This is the cheapest way to turn an AI draft into content with genuine expertise.
  • Add Proprietary Data and Numbers
    Use your own data: average delivery time, most common customer questions, conversion rates before/after, survey results, anonymized usage statistics. Original data earns citations from other sites and AI assistants, and it can’t be reproduced by a competitor running the same prompt.
  • Show a Clear Author Byline on Every Article
    Every blog post and guide should show who wrote or reviewed it, with a link to an author page. “Admin” or “Team” bylines on AI-heavy content signal low accountability. Google recommends making it clear who created the content—readers want to know the same thing.
  • Build Detailed Author Pages
    Author pages should include real name, photo, role, relevant experience, credentials, topics covered, and links to LinkedIn or other professional profiles. Avoid fake personas: a made-up author with an AI-generated headshot is a trust and reputation risk if discovered.
  • Use Qualified Reviewers for Sensitive Topics
    For YMYL content, add a “Reviewed by” line with a qualified professional (e.g., certified accountant, licensed physician) who actually reviewed the page. Record the review date. The reviewer must have genuinely checked the content—a decorative name is misleading.
  • Share Opinions and Recommendations, Not Only Summaries
    AI drafts tend to stay neutral: “it depends on your needs.” Readers and search systems value clear, justified recommendations: “For teams under 10 people, choose X because…”. Taking a position based on experience is a strong expertise signal and helps conversions.
  • Add Real Customer Stories and Use Cases
    Replace hypothetical examples (“Imagine a small bakery…”) with real, permission-based customer cases: the problem, what they did, and measurable results. Link to full case studies where possible. Real outcomes build trust far better than invented scenarios.

🛡 Trust, Transparency & Compliance

  • Answer Google’s “Who, How, and Why” Questions
    Google suggests evaluating content by Who created it, How it was created, and Why. The “why” should be to help people, not primarily to rank. If automation was used substantially, consider explaining how, where readers would reasonably expect it. Google: Creating Helpful Content
  • Decide Where to Disclose AI Assistance
    Google doesn’t penalize AI use itself, but transparency builds trust. Add a short editorial note (“Drafted with AI assistance, fact-checked and edited by [Name]”) where readers would care, such as reviews, news, and advice. Check local rules too: the EU AI Act introduces transparency obligations for certain AI-generated content. Google Search and AI-generated content
  • Publish an Editorial Policy Page
    Create a page explaining how you create content: research process, use of AI tools, fact-checking, expert review, update frequency, and how to report errors. Link it from article footers and author pages. It shows accountability to users, partners, and quality raters.
  • Make Business Identity and Contacts Easy to Find
    Trust is the most important part of E-E-A-T. Show legal company name, address, phone, email, and support options, plus About, Privacy, Terms, and Returns pages. AI-generated sites with no visible owner look like spam to users and reviewers alike.
  • Never Generate Fake Reviews or Ratings
    Don’t use AI to write customer reviews, testimonials, or star ratings, and don’t mark up invented ratings with structured data. It violates consumer protection laws in many markets and Google’s review snippet guidelines, and platforms actively detect review manipulation.
  • Check Originality and Copyright Risk
    Run drafts through a plagiarism checker to catch passages copied too closely from existing pages. Also verify rights for AI-generated images and don’t imitate a specific competitor’s copy, brand, or trademarked names. Duplicate or near-duplicate content gains nothing in search.
  • Don’t Rely on AI Detectors as a Quality Gate
    AI-detection scores are unreliable: they flag human writing and miss edited AI text. Google evaluates helpfulness and quality, not whether a detector says “AI”. Spend review time on facts, experience, and usefulness instead of rewriting to beat a detector score.
  • Add Corrections and Last-Reviewed Information
    Show when a page was last meaningfully reviewed and correct errors openly. Don’t change the date without real updates—fake freshness is a known manipulation pattern. A visible corrections process signals a publisher that stands behind its content.

🎙 Brand Voice & Readability

  • Compare the Draft With Your Brand Voice Guide
    Check tone against your style guide: formal or friendly, “you” or “customers”, humor or none, product naming, spelling (US/UK). Paste 2–3 of your best human-written pages into the prompt as examples. Inconsistent voice across hundreds of pages makes the brand feel machine-made.
  • Remove Typical AI Filler and Clichés
    Delete empty phrases: “in today’s fast-paced digital landscape”, “delve into”, “unlock the power”, “it’s important to note”, “in conclusion”. Cut intro paragraphs that restate the headline. Every sentence should add information; filler increases word count, not value.
  • Cut Repetition and Padding
    LLMs repeat the same idea in different words across sections. Read the draft once looking only for duplicate points and merge them. Shorter, denser pages often perform better than bloated “ultimate guides”—word count is not a ranking factor.
  • Make the Content Scannable
    Use descriptive H2/H3 headings, short paragraphs, bullet lists, tables for comparisons, and bold key takeaways. Busy buyers scan before they read. Clear structure also helps search engines and AI assistants extract the right passage for a query.
  • Write for Your Audience’s Level of Knowledge
    AI tends to explain basics to experts or use jargon with beginners. Decide the reader’s level and adjust: define terms for newcomers, skip obvious explanations for professionals. Ask a real customer or salesperson to read the draft and point out confusing parts.
  • Localize, Don’t Just Translate
    For multilingual sites, have a native speaker review AI translations for tone, idioms, currency, units, legal terms, and local examples. Literal machine translation often sounds unnatural and can change meaning. Local relevance improves both rankings and conversion in each market.
  • Align Calls to Action With the Page Intent
    AI often ends every text with a generic “Contact us today!” Place specific, relevant CTAs: free trial for a comparison page, size guide for a product page, consultation for a high-ticket service. Check that CTA links work and lead to the right step of the funnel.

🛒 AI Product & Category Descriptions (Ecommerce)

  • Avoid Near-Identical Descriptions Across Products
    Generating hundreds of descriptions from one prompt produces templates where only the product name changes. Compare a sample of similar SKUs side by side. Each description should highlight what makes that item different: material, use case, fit, compatibility, or who it’s for.
  • Lead With Benefits and Buyer Questions
    Start with the problem the product solves and answer the questions shoppers actually ask (from reviews, support chats, and on-site search). Then list specs. AI tends to describe features in marketing language; buyers need practical answers that reduce hesitation and returns.
  • Keep Specifications in Structured, Accurate Format
    Put size, weight, materials, compatibility, and care instructions in a clean spec table rather than burying them in prose. Sync them from your product feed so AI text never contradicts the data. Consistent specs also support accurate product structured data and shopping listings.
  • Add Product Structured Data That Matches the Page
    Implement Product markup (name, image, price, availability, brand, GTIN, shipping, returns) and ensure every value matches what shoppers see. Mismatches between markup, feed, and visible content can cause rich result or Merchant Center issues.
  • Label AI-Generated Product Images Correctly
    If you use AI-generated or heavily AI-edited product images, make sure they represent the real product accurately and keep the embedded metadata that marks them as AI-generated—shopping platforms, including Google Merchant Center, have rules on this. Misleading imagery increases returns and disputes.
  • Write Unique Intro Text for Category Pages
    Category pages need short, helpful copy: what the range includes, how to choose, and links to key subcategories or buying guides. Avoid 800 words of AI keyword stuffing below the product grid—it helps neither shoppers nor rankings.
  • Prioritize Human Review for Top-Revenue Pages
    You can’t hand-edit 10,000 SKUs, so rank pages by revenue and traffic. Give the top 10–20% full human editing, add original photos and FAQs, and review a random sample of the rest every week to catch systematic prompt errors.

🏷 Meta Tags, Direct Answers & Snippets

  • Write Unique, Click-Worthy Title Tags
    Check that each AI-generated title is unique, matches the page, puts the main topic first, and avoids truncation (roughly 50–60 characters). Bulk-generated titles often follow one pattern (“Ultimate Guide to…”) that looks spammy in results. Crawl the site to find duplicates.
  • Rewrite Meta Descriptions Around a Benefit
    Meta descriptions don’t directly affect rankings but strongly affect CTR. Make each one specific to the page: a concrete benefit, a number, or a differentiator, plus a soft CTA. Remove descriptions that just repeat the title or contain unverified claims.
  • Put a Direct Answer Right Under the Question
    For question-style headings, answer in the first 1–2 sentences (about 40–60 words), then expand with details. Clear, self-contained answers are easier for Google to show as featured snippets and for AI assistants to quote. Avoid “it depends” openings.
  • Use Question-Based Headings From Real Queries
    Take questions from Google’s “People also ask”, GSC queries, site search, and support tickets—not questions the AI invented. Use them as H2/H3 headings where they fit the page naturally. This aligns the content with how customers actually search and ask AI tools.
  • Use Lists and Tables for Steps and Comparisons
    Format processes as numbered steps and comparisons as HTML tables with clear column headers. Search engines can extract these formats into snippets, and readers can scan them quickly. Keep the text version of the table accurate—don’t use images of tables.
  • Match H1, Title, and Intro to One Topic
    Ensure the H1, title tag, and first paragraph describe the same topic and promise. AI workflows sometimes generate each element separately, creating mismatches that confuse users and search engines. The intro should confirm immediately that the reader is in the right place.
  • Add Article and Author Structured Data
    Use Article/BlogPosting markup with headline, dates, image, and author (with a URL to the author page). Add Organization markup with logo and official profiles. Structured data helps search engines understand who is behind the content; it doesn’t replace visible bylines. Article structured data
  • Use FAQ Blocks for Users, Not for Rich Results
    FAQ sections still help readers and AI extraction, but Google shows FAQ rich results only for a limited set of authoritative government and health sites. Don’t generate 20 generic AI questions per page—keep 4–8 real questions with genuinely useful answers.

🤖 AI Search Visibility (AI Overviews, ChatGPT, Perplexity)

  • Apply SEO Fundamentals First
    Google says there are no special requirements to appear in AI Overviews or AI Mode: the page must be indexed, eligible for a snippet, and follow Search Essentials. Fix indexing, internal linking, and content quality before chasing “GEO hacks.” AI features and your website
  • Make Key Facts Easy to Quote
    AI assistants cite passages that are clear, specific, and self-contained. Put key definitions, prices, specs, and conclusions in short standalone sentences with the entity name included (“Plerdy’s heatmap tool shows…” rather than “It shows…”).
  • Keep Your Brand Facts Consistent Across the Web
    AI systems build answers from many sources. Make sure your product names, pricing, features, founding details, and positioning match on your website, directories, review platforms, social profiles, and partner pages. Contradictions lead to wrong AI answers about your business.
  • Check What AI Assistants Say About Your Brand
    Ask ChatGPT, Gemini, Perplexity, Copilot, and Google AI Mode questions your buyers ask (“best tool for…”, “[brand] pricing”, “[brand] vs [competitor]”). Record which sources they cite and what is wrong. Fix or create the pages that should be the source of the correct answer.
  • Review Snippet and AI Crawler Controls
    Check that important pages don’t accidentally use nosnippet, max-snippet:0, or data-nosnippet, which limit how content appears in Google’s results, including AI features. Separately, decide which AI crawlers (e.g., GPTBot, Google-Extended, PerplexityBot) you allow in robots.txt, and understand what each one controls. Robots meta tag & snippet controls
  • Earn Mentions on Sources AI Tools Trust
    AI answers often cite review platforms, industry publications, comparison articles, forums, and videos. Get featured through PR, expert commentary, original research, and customer reviews on relevant platforms. Mass-produced AI guest posts won’t build this kind of authority.

⚠️ Scaled Content & Spam Policy Risks

  • Audit for Scaled Content Abuse Patterns
    Google’s spam policies target pages generated at scale primarily to manipulate rankings with little value for users—whether produced by AI, humans, or both. Warning signs: thousands of pages published in weeks, city/keyword-swapped templates, and pages nobody would bookmark or share. Google Spam Policies
  • Don’t Launch Hundreds of Pages Overnight
    Roll out AI-assisted content in batches. Publish a pilot of 20–50 pages, measure indexing, rankings, engagement, and conversions for several weeks, then scale what works. A sudden flood of thin pages can drag down the perceived quality of the entire site.
  • Avoid Doorway and Location-Swap Pages
    Pages like “Plumber in [City]” with identical AI text and only the city changed are classic doorway pages. Create location pages only where you truly serve the area, and add local specifics: team, projects, prices, reviews, and service conditions.
  • Don’t Host Unrelated Third-Party AI Content
    Publishing off-topic content (coupons, casino, loans) from partners on your domain to exploit its ranking signals can violate Google’s site reputation abuse policy. Keep content aligned with your core business and closely supervised by your team.
  • Prune or Improve Thin AI Pages
    Find pages with no clicks, no conversions, and no backlinks over 6–12 months. Improve them with real expertise, merge them into stronger pages with 301 redirects, or remove them. Fewer, better pages often lift overall site performance.
  • Compare AI Content Against Google’s Rater Guidelines
    The Quality Rater Guidelines describe content created with little effort, originality, or added value—including heavily automated content—as lowest quality. Have an editor score a sample of pages against these criteria before and after publishing. Search Quality Rater Guidelines

📊 Post-Publication Monitoring & ROI

  • Track Indexing of New AI-Assisted Pages
    In Google Search Console, check the Page indexing report for “Crawled – currently not indexed” and “Discovered – currently not indexed” on new content. A high share of non-indexed pages is an early signal that Google sees the content as low value or duplicate.
  • Tag AI-Assisted Pages for Performance Comparison
    Label pages by production method (human, AI-assisted, AI-heavy) in your CMS or a spreadsheet. Compare clicks, CTR, positions, engagement, and conversions between groups. This shows whether your AI workflow creates business value or just more URLs.
  • Watch Rankings and Traffic Around Core Updates
    Annotate core and spam update dates in your analytics. If AI-heavy sections drop sharply after an update while human-edited ones hold, improve quality across that section rather than tweaking individual keywords.
  • Measure Engagement With Heatmaps and Scroll Depth
    Use click maps and scroll maps to see whether visitors read past the intro, click CTAs, or leave quickly. AI text that ranks but doesn’t engage won’t generate leads or sales. Identify where attention drops and restructure or shorten those sections.
  • Track Conversions, Not Just Traffic
    Connect content to goals: add to cart, form submissions, demo requests, and revenue. Some AI pages may bring traffic that never converts. Prioritize editing effort on pages that attract qualified visitors and have clear commercial potential.
  • Schedule Regular Content Refreshes
    Set review cycles: every 3–6 months for fast-changing topics (pricing, software, regulations) and yearly for evergreen guides. Re-check facts, links, screenshots, and competitor information. Update the “last reviewed” date only after real changes.
  • Collect Feedback and Fix Reported Errors Fast
    Add a simple “Was this helpful?” or “Report an error” option and monitor comments, support tickets, and sales feedback mentioning content. Every reported inaccuracy should be fixed quickly—and should update your prompts and review checklist to prevent it at scale.