Author
Honeydmaxx
Content Writer at Visibility100x
Writes the technical guides here, on what search engines and AI assistants actually read when they fetch a website.
LinkedIn profile33guides published
116prompts published
3 Aug 2026first piece here
99mean audit score across 19 scored guides
How these are written
The guides on this site are written against two things rather than one: the documentation the operators publish about their own crawlers, and what our audit engine reports when it fetches a real page. Where those two disagree, the article says so. Where a claim cannot be supported by either, it does not get published.
That standard is the reason most of these pieces are shorter than the topic would allow and carry a sources list at the end. A figure about another company arrives with the page it was read from and the date it was read, because vendor pricing and platform behaviour both change quietly and an undated number is an anecdote. Measurements of our own come from published studies with the sample size and the method attached.
Corrections happen in public. When Google withdrew the FAQ rich result in May 2026, the articles here that recommended the markup were edited to say what changed and why the markup is still worth shipping for a different reason, rather than quietly left as they were.
Guides by Honeydmaxx
Newest first. Every one carries its sources and the date they were read.
- AI product visibility for ecommerce: measure the shelf before you change itA practical way to measure which products AI assistants recommend, which competitors replace you and which sources shape the answer.
- Product feed vs Product schema: two copies of the truth that must agreeWhat a Merchant Center feed and Product structured data each do, where they drift, and how to audit both without guessing.
- Are Google AI Overviews accurate? A practical way to check the answerGoogle AI Overviews can be useful and still be wrong. Learn how to check claims, citations, dates and missing context before trusting an answer.
- ChatGPT deep research: how to get a report you can actually useA practical ChatGPT deep research workflow for a clear brief, stronger sources, claim checking and a report that supports real decisions.
- How to make ChatGPT sound human without adding fake personalityMake ChatGPT writing sound natural by replacing generic structure with real decisions, evidence and voice. A practical editing method with examples.
- Google Search Console for SEO: read the averages without lying to yourselfSearch Console shows real impressions and clicks, but average position is not a rank. A practical workflow for reading queries, pages and changes correctly.
- SEO analysis: turn a score into the next decisionA practical SEO analysis workflow that separates eligibility, search demand, page selection, snippet performance and conversion instead of hiding them in one score.
- SEO audit services: what the engagement should actually deliverWhat an SEO audit service should inspect, deliver and verify—from technical evidence and content decisions to ownership, implementation and re-testing.
- Blog post introduction examples: seven openings that get to the pointSeven blog introduction examples for guides, studies, comparisons and opinion pieces, with a simple test for cutting throat-clearing from the opening.
- FAQ schema: when it helps, when it does nothing, and the markup that validatesA practical FAQ schema guide with valid JSON-LD, eligibility rules, common errors and a plain answer on whether FAQ markup still helps SEO.
- Landing page examples: five pages, and the decision each one removesFive practical landing page examples for lead generation, SaaS, local services, ecommerce and events—analysed by message, proof and next action.
- Pillar page examples: build the hub only when the topic needs onePractical pillar page examples for services, education and product categories, with a framework for choosing scope and building useful topic clusters.
- SEO audit report: turn a crawl into decisions somebody can actually makeHow to write an SEO audit report that separates evidence from assumptions, prioritises fixes and gives each recommendation an owner and outcome.
- Google's SEO starter guide is right, and it is answering one questionGoogle publishes a list of things it says not to focus on, and every item is correct about ranking. Three of them still decide whether you get quoted.
- WordPress SEO: the plugin finishes its list, and its list is the small halfWe audited 395 WordPress sites and 287 of their posts. Canonicals and indexability are solved. Heading order, page weight and delivery are not.
- Google Keyword Planner for SEO, and the four things it will not tell youKeyword Planner is built for advertisers, and that decides what its numbers mean. What the volume column counts, why it shows ranges, and what to do about both.
- On page SEO: the checklist barely changed, and the weighting didTitles and meta descriptions are mostly fine on professional sites. What fails is heading order, extractable passages and attribution. Measured on 88 homepages.
- Core Web Vitals: the number you are looking at is probably a simulationLCP, INP and CLS explained, and the distinction that decides whether your score is a real problem: lab data is a simulation, field data is your users.
- How to do keyword research when a third of the answers never get clickedThe keyword research method that still works, plus the newer question: which queries are worth winning when the answer sits above the results.
- Alt text: what to write, when to write nothing, and why empty is not missingHow to write alt text that works for screen readers and search, the difference between empty and missing alt, and the decorative image rule.
- Is AI writing undetectable? Mostly yes, and that is why it is the wrong questionAI detectors are unreliable in both directions, which makes undetectability the wrong target. What actually decides whether AI assisted content performs.
- Schema markup examples that validate, and the three ways they usually breakWorking JSON-LD for Article, FAQ, Product, Organization, Breadcrumb and LocalBusiness, plus the three failures that make schema silently ignored.
- SEO tips ranked by how often the thing is actually brokenMost SEO tips are opinions in no order. These are ordered by measured failure rates across our own audits of professional marketing sites.
- Tools for keyword research, and the thing none of the roundups tell youNearly every keyword tool sources volume from the same place. What separates them is discovery, billing model and what happens after the export.
- Why your AI Overview disappeared, and whether to worryAI Overviews vanish from queries constantly, and it is usually the feature working as designed. How to tell a normal disappearance from a real problem on your site.
- How to humanize AI content, and why detector scores are the wrong targetSeven detectors flagged 61% of human written essays as AI. Rewriting for a detector score is a trap. Here is the edit that stops a ChatGPT draft reading like one.
- What an SEO audit actually checks, and what a useful report looks likeAn SEO audit checks whether search engines and assistants can reach, read and quote your pages. The full list, a real example report, and what to fix first.
- How to rank in Google AI Overviews when ranking first no longer gets you inOnly 38% of AI Overview citations now come from pages in the top 10, down from 76% seven months earlier. What that changes about the work, and the studies behind it.
- AI visibility score: what it can measure and how ours is calculatedThe weights behind our own AI visibility score, published in full, and the honest limit of what any single number about AI visibility can tell you.
- What AI visibility tools actually cost in 2026Every AI visibility tool we could verify, with its entry price read from the vendor pricing page on 4 August 2026. Including the plan that beats ours on volume.
- Why AI crawlers see a blank page on your React siteWe measured real client rendered sites. One profile page carries 5 words before JavaScript runs and 989 after. What each crawler documents, and the fixes.
- GPTBot, ClaudeBot, PerplexityBot: which AI crawlers can read your siteEvery AI crawler that matters, its user agent token, who runs it, and the robots.txt lines to allow or block it. Plus the rule that breaks most files.
- llms.txt: what it is, whether it does anything yet, and how to write onellms.txt is a proposed manifest pointing AI assistants at your best content. No assistant has confirmed it reads one. The honest case for publishing it anyway.
Prompts by Honeydmaxx
Each one run against the assistants named on its page before it was published. The full set is in the prompt library.
- Build ecommerce AI buyer questions from evidence, not imagination
- Mine ecommerce category questions and assign the right page
- Find an ecommerce competitor citation gap without guessing the cause
- Write a product comparison page brief from verified differences
- Audit product feed and schema mismatches by variant
- AI citation gap analysis prompt for finding the evidence competitors own
- AI Overview fact checking prompt with a claim by claim evidence ledger
- Deep research prompt builder for a brief that supports a real decision
- Deep research source verification prompt for checking every important claim
- Natural voice editing prompt that fixes the thinking before the wording
- Research outreach email template: ask for evidence without leading the answer
- Design brief layout: turn open questions into a production-ready page
- Email campaign examples: map every send to one changed decision
- Email template examples: turn one message into three usable versions
- Featured snippet example: write the answer block before the explanation
- Social media marketing plan template: choose jobs before channels
- Social media post examples: make one idea earn five different posts
- Ad copy example: write a responsive search ad from evidence, not adjectives
- Campaign brief template: agree the audience, offer and proof before production
- Cold email follow-up template: add one fact or stop sending
- FAQ schema example: generate JSON-LD from answers already on the page
- Google Analytics report template: answer one business question with GA4 data
- How to write a headline: make the promise specific before making it clever
- Marketing report template: connect channel activity to a business decision
- Meta tags example: generate only the tags this page can support
- Monthly SEO report template: explain what changed and what happens next
- Product launch plan template: work backwards from one release date
- Review request template: ask after a real customer outcome
- SEO content brief template: give the writer decisions, not a keyword dump
- SEO on-page checklist: turn one URL into a short, ordered fix list
- Title tag examples: write for the result without renaming the page
- Welcome email examples: write the first message after the signup
- Alt text examples: ten images, ten finished alt attributes
- Article outline where every section carries its own first line
- Professional email subject line examples, ten per email
- Responding to a negative review: three drafts and the one you should not send
- URL structure examples, with the rule behind each one and what not to change
- Cold email template that names one specific thing about them
- Content calendar template that fills itself in from one topic
- Creative brief template that a designer can start from the same day
- Newsletter template with the subject line and preheader already written
- Social media calendar template with the first line already written
- Turn a goal into a reusable prompt, with its variables and a test plan
- Diagnose a prompt that is nearly working, and get a version two you can compare
- A system prompt for marketing work that survives more than one chat
- Draft an llms.txt from your own pages, without inventing anything about you
- How to write a prompt that works the second time you run it
- Rewrite an AI draft so it stops reading like one, by putting back what the model left out
- Turn a prompt that worked once into a template you can run every week
- Brief a deep research run properly, so twenty minutes of work is not spent answering the wrong question
- Use Perplexity to find out who is currently cited for your buying questions
- Reconstruct the query fan out behind a search, and find which parts of it you answer
- Audit how assistants describe your brand, in a form you can repeat
- Write a content brief a writer can execute without asking questions
- Mine long tail keywords a low authority site can actually win
- Classify a keyword list by search intent and the page type it needs
- Turn audit findings into SEO recommendations a developer will action
- AEO and GEO: which is which, and a prompt that does the work either way
- Answer engine optimisation in order: a gated plan for one morning, not another explainer
- Draft an article that does not read as generated, by making the model refuse to start without your specifics
- Structure an article so an assistant can lift one passage out of it
- Run a competitor analysis in four passes, one input at a time
- The keyword research prompts worth running, and the order they go in
- Turn a brief into a finished blog post, and find out what the brief was missing
- The blog post prompt sequence, and the gate that decides whether a draft ships
- Capture a brand voice from writing you already have, and stop calling it training
- Where a human has to intervene when a model writes your content
- Decide what one page should target, and make the model quote the page as evidence
- A Claude prompt for SEO that reads four pages at once and has to quote before it concludes
- An SEO audit prompt for Claude, built on the two things it will actually do
- A competitor analysis example, run end to end, with the inputs and the output shown
- Find the content gap between you and a competitor from two sitemaps
- Turn a content plan into a calendar with a date and an owner on every page
- Map one topic into a content plan where every page answers a different question
- Diagnose why a page is not ranking, and make the model admit what it cannot see
- Optimise an Etsy listing for the search engine that actually ranks it
- A Gemini SEO prompt set that has to show where every claim came from
- Gemini against ChatGPT for SEO work, settled by running the same task in both
- Get your business named in ChatGPT answers: the whole mechanism, and which parts are actually levers
- How LLM SEO works: the pipeline, stage by stage, with the guesses labelled
- Do keyword research from first principles, with a business and no data
- Where ChatGPT helps with SEO, where it does nothing, and where it costs you
- Work out which half of your keyword question a model can actually answer
- Judge a blog post against standards a model can apply, and make it admit what it cannot judge
- How to write a good meta description by hand, and a prompt that argues with it
- Rank your local SEO fixes by effort, for the week you actually have
- Turn a sitemap export into internal links you can place this afternoon
- The five ways ChatGPT damages SEO, and the check that catches each one before you publish
- Is ChatGPT good for SEO? Make it mark its own output and find out
- Take one keyword to an annotated outline, then to a draft, with a stop in between
- A copywriter prompt set for landing pages that sell and are still findable
- Build local keyword sets without ending up with forty identical suburb pages
- Build a local SEO plan for one location, without producing a doorway page
- Meta description examples, scored line by line against one rubric
- Write meta descriptions that still make sense after Google cuts them
- Optimise an existing page without letting the model rewrite it
- Write product descriptions at catalogue scale without shipping the same page 300 times
- Ranking a website in ChatGPT, honestly: a site level triage of what a crawler actually receives
- Getting your business named by ChatGPT, when most of the sources are not yours
- Rewrite a finished draft for search without flattening the writing
- Generate JSON-LD schema from the page, with nothing in it that is not on the page
- Triage the keywords you already rank for, before researching a single new one
- Expand one seed keyword into a set worth validating
- Tell a real ranking movement from noise, before anyone blames an algorithm update
- An SEO audit example: the input, the scored report, and what it refuses to score
- Run a technical SEO audit from a crawl export, without the generic checklist
- Write the title tag and the meta description as one pair, not two tasks
- Audit a whole site by page type, so the fix lands on the template
- What ChatGPT search retrieves, as opposed to what the model just remembers
- What a technical SEO audit covers, and the checklist to hold a supplier to
- Answer engine optimisation: what the term means, and which of your pages qualify
- Generative engine optimisation: the paper that named it, and what it actually tested
- What keyword research is, explained with something you sell rather than running shoes
- Work out what actually goes in a blog post before you write a word of it
- Why answer engine optimisation matters, and when it honestly does not
- Turn a keyword export into topical clusters that map to real pages