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RankX AI

AI Search Visibility Platform

The 30-Day AI Visibility Plan

RankX AI built this plan from measured studies, not folklore: four weeks that take a brand from unmeasured to baselined, machine-readable and earning its first AI mentions.

The full plan is free on this page. The workbook adds the checklists and templates, by email.

Why now

AI visibility is measurable, and buyers have already moved.

AI visibility is the share of AI answers that name your brand when buyers ask without using your name. The four numbers below are why fixing it stopped being optional this year.

  • 51%

    of B2B software buyers now start product research with an AI chatbot rather than Google, up from 29% in April 2025.

    G2 buyer research, March 2026 · survey

  • 4.4x

    the value of an organic search visitor: what a visitor referred by an AI assistant is worth, measured across 500+ tracked commercial topics.

    Semrush, June 2025 · measured

  • 69%

    of buyers changed which vendor they chose because of what an AI assistant told them; a third bought from a vendor they had never heard of.

    G2 buyer research, March 2026 · survey

  • +1,200%

    growth in generative-AI referral traffic to US retail sites in a single year, and it has kept climbing since.

    Adobe Analytics, 2025 · measured

Day 30 delivers a baseline, fixed foundations, first signals and a weekly rhythm. Stable citations typically take 8 to 16 weeks and sometimes longer, which is exactly why the measurement keeps running after the plan ends.

RankX AI runs this plan on itself and publishes the numbers: the 30-day baseline study is public, zero-citation findings included.

Week 1 · Days 1 to 7

Measure where you stand, and what AI already gets wrong.

Nothing in the later weeks can be steered, or even noticed working, until the baseline exists.

  1. Day 1

    Write 40 to 50 buyer questions that never contain your brand

    Write them the way a buyer types, split across researching, comparing and ready-to-buy intents: category questions, alternatives questions, problem questions. A question with your name in it only confirms what someone already knew to look for; the broad ones are the real test. Start tracking them across ChatGPT, Perplexity, Gemini, Claude and Grok.

    One-off checks are noise: across 2,961 repeated runs there was under a 1-in-100 chance the same prompt returned the same brand list twice. A share of voice across dozens of prompts, tracked over time, is the only defensible number.SparkToro and Gumshoe · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a senior B2B buyer researching [category, e.g. AI visibility software] for [audience, e.g. a UK SaaS team]. You have never heard of [brand] ([website]). Task: write exactly 50 questions such a buyer would type into ChatGPT or Perplexity, in three groups: 20 researching questions about the problem space, 15 comparing questions that may name real competitors such as [competitor 1] and [competitor 2], and 15 ready-to-buy questions. Rules: never include the name [brand] in any question. No two questions may open with the same three words. Write the way people type, not marketing copy. Good example: which tools track brand mentions in ChatGPT. Bad example: what are the best cutting-edge AI visibility solutions on the market today. Output: a numbered list under the three group headings, nothing else.

  2. Day 2

    Baseline share of voice against 3 to 5 named competitors

    Visibility on its own says little; the number that moves decisions is your share of answers against the rivals a buyer would actually weigh. Record the baseline per engine, per prompt group, and screenshot it: the before picture cannot be taken later.

    Only 11% of cited domains are shared between ChatGPT and Perplexity, so one engine's number does not stand in for another's. Baseline each engine separately.Profound, 100K matched prompts · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a marketing analyst designing an AI share of voice baseline. Context: my brand is [brand] ([website]); the competitors are [competitor 1], [competitor 2] and [competitor 3]; the market is [category]. Task: 1) design a tracking sheet with the exact columns to record per question, per platform, for ChatGPT, Perplexity, Gemini, Claude and Grok; 2) define how to score a mention, a recommendation and a position, and fill in one worked example row; 3) give the share of voice formula per platform. Rules: repeated runs are mandatory; state how many runs per question make the number trustworthy and why a single run is statistical noise. Output: the column list, the scoring rules, the worked example row, the formula, then five bullets on run counts. Under 400 words.

  3. Day 3

    Run the wrong-facts audit

    Ask each assistant who you are, what you cost, who you are for. Record every factual error and the overall sentiment. Correcting what AI says wrongly about you is usually the fastest visible win in the whole plan, because the fix is your own pages saying the true thing extractably.

    64% of B2B buyers say they encounter inaccurate AI recommendations often or very often while researching software.G2 buyer research, March 2026 · survey

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a sceptical buyer who has never heard of [brand]. Context: below are an AI assistant's answer about [brand] and the true facts. Task: compare them and list every error, outdated claim and misleading emphasis in the answer. Rules: rank the list worst first by how much each item would cost a sale; for every item, name the page on [website] that should state the true fact in plain text a machine can quote; do not soften anything. Output: a ranked table with three columns: what the answer got wrong, the truth, the page to fix. The answer: [paste the AI answer]. The facts: [paste 5 to 10 true facts: what you do, pricing, who you serve, key features].

  4. Day 4

    Set up Bing Webmaster Tools and IndexNow

    If Google Search Console is not already verified, start there: the plan assumes it, and Bing imports from it in minutes. Then verify the site in Bing Webmaster Tools, submit the sitemap, wire IndexNow so new and changed pages reach the index in days rather than weeks, and open the AI Performance report, in public preview since February 2026: free, first-party data on where Microsoft Copilot and Bing's AI experiences cite you. Last, find the referral report in Google Analytics: AI-assistant visits arrive as referrals from hosts like chatgpt.com and perplexity.ai, and that report is where this plan's traffic will show up.

    Microsoft's own webmaster guidelines state that Bing's index grounds Copilot and its AI experiences directly. ChatGPT runs on a Bing backend too, but its citations drifted a long way from Bing's rankings through 2025, from an 87% top-results match in early 2025 to roughly 8% by that August, which is the argument for the first-party report over assuming.Microsoft guidelines, Feb 2026; Seer Interactive; Ahrefs, 15K queries · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a technical SEO walking a marketer through a setup. Assume nothing is set up yet. Context: my site is [website], running on [CMS or framework, e.g. WordPress]. Task: give one checklist covering 1) verifying the site in Google Search Console if it is not already, sitemap submitted; 2) verifying in Bing Webmaster Tools, importing from Google Search Console where possible; 3) submitting the sitemap to Bing; 4) enabling IndexNow the easiest supported way on my stack; 5) finding the AI Performance report once data arrives; 6) finding where Google Analytics 4 shows referral visits from AI assistants such as chatgpt.com and perplexity.ai. Rules: number every step; mark any step that needs a developer with the word DEV; where a step differs by platform, give only the [CMS or framework] path; 20 steps maximum. Output: the numbered checklist, then one line on what to check back on in 7 days.

  5. Day 5

    Fix your entity records

    One canonical name, spelled one way, everywhere: site, schema, profiles, third-party listings. Check Wikidata for a wrong or missing label. Publish an Organization node whose sameAs links point at profiles that genuinely exist, because a wrong sameAs actively misresolves you, which is worse than none.

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are an entity SEO auditor. Context: my brand is [brand] in the [category] market. The name currently appears here: [list your website, LinkedIn, G2 or Capterra, Crunchbase, X, Wikidata and any others]. Task: 1) check whether the name is spelled identically everywhere and flag every variant; 2) list which profiles are missing, unclaimed or stale; 3) describe what a machine resolving [brand] into one entity would get wrong today; 4) write one canonical positioning sentence for [brand]. Rules: the sentence must be under 25 words, name what it is, who it serves and the category [category], and contain no superlatives, so it can be pasted verbatim on every profile. Output: four short sections in that order, the sentence last on its own line.

  6. Days 6 to 7

    List the pages AI already cites in your category

    Your tracking shows which domains and which specific articles the engines keep quoting when they answer your category questions. That list, usually dominated by best-of roundups and review sites, is week 4's outreach plan. File it now.

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a digital PR researcher building an outreach list. Context: when AI assistants answered my [category] questions this week, they cited these sources: [paste the URLs or domains from your tracking]. My brand is [brand]. Task: 1) group the sources into best-of listicles, review sites, community threads, publications and vendor sites; 2) rank the individual pages by how often they appear; 3) shortlist the ten most-cited pages a [category] vendor could realistically be added to. Rules: for each shortlisted page, add one line naming who runs it and what they would need from me; exclude pages that clearly only cover a segment [brand] does not serve. Output: the five groups, then the shortlist as a numbered list of ten.

You end week 1 holding a per-engine baseline, a list of what AI gets wrong, and the exact pages to be on.

Week 1 in full: how-tos, worked examples and the week’s own questions

Week 2 · Days 8 to 14

Give every crawler text it can lift without running a line of code.

AI assistants quote what they can read, and most of their crawlers read far less of a page than people assume.

  1. Day 8

    Run the view-source test on every money page

    Right-click, view source, search for a full sentence of your key copy. If the sentence is not in the served HTML, it does not exist for most AI retrieval. Content that only appears after JavaScript runs, or sits inside an embedded player, fails this test while looking perfect in a browser.

    Across hundreds of millions of monthly fetches on Vercel's network, 569 million from GPTBot alone, GPTBot, ClaudeBot and PerplexityBot downloaded JavaScript files and executed none. Gemini is the exception: it rides Google's rendering infrastructure.Vercel and MERJ · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are simulating an AI crawler, which reads only the served HTML of a page and runs no JavaScript. Context: below is raw view-source HTML from [website]. Task: 1) list the important claims that exist as plain text in this HTML; 2) list what is missing because it only arrives through scripts, embeds or images; 3) rank the missing pieces by how much each matters to a buyer deciding. Rules: quote the exact missing sentence or fact where you can; ignore styling and boilerplate; if the page holds under 200 words of real text, say so first in one blunt sentence. Output: three sections in that order, the ranking as a numbered list. HTML: [paste the page source, or its first few hundred lines].

  2. Days 9 to 10

    Restructure the answers to come first

    Put the answer in the first sentence of the page and of every section, phrase headings as the questions buyers ask, keep one h1 and a clean heading outline, and name the entity instead of writing pronouns: a section beginning with your brand name survives being quoted alone, and one beginning with a bare pronoun does not.

    In a 30M-citation ChatGPT analysis, with 18,012 citations verified for position, 44.2% came from the first 30% of the page; and rewriting section headings into question form lifted organic traffic about 12% in a controlled split test.Kevin Indig, 30M citations; SearchPilot · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are an editor restructuring a page for AI retrieval, where citations concentrate in the first third of a page. Context: the page below is from [website]; the buyer is [audience]; the brand is [brand]. Task: 1) produce a new heading outline with one h1 and every section heading phrased as a question that buyer would ask; 2) write a 40 to 60 word direct answer for the page and for each section, with the answer in the first sentence. Rules: start sections with the name [brand], never a pronoun; keep every true fact and cut nothing that matters; add no claims I did not give you; plain language over marketing tone. Output: the outline first, then the rewritten openings under each heading. Page copy: [paste].

  3. Days 11 to 12

    Add facts a machine can check

    Real numbers with dates, named sources, first-hand results, quotations from people who exist. Extractive answers lift specific sentences that stand alone, and specificity is the one property a competitor cannot generate with the same model you fear.

    The widely-sold claim that these tactics buy an automatic 40% visibility lift did not survive replication; what holds up everywhere is that keyword stuffing measures at or below baseline and relevance plus position dominate. Write facts for extraction, not for a multiplier.KDD 2024 GEO paper and its replications · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a fact editor hunting vague claims. Context: below is a page from [website]; the brand is [brand]. Task: find every vague claim (words like fast, leading, powerful, seamless, trusted) and propose a checkable replacement for each: a real number with a date, a named source, a first-hand result, or a quotation from a named person at [brand]. Rules: never invent a figure; where no real number exists yet, write FILL followed by the exact internal question I must answer to get it; keep each replacement to one sentence. Output: a two-column list, vague claim then replacement, followed by the FILL questions as a separate numbered list. Page: [paste].

  4. Day 13

    Refresh the pages you want cited, honestly

    Update the content itself, then the visible date, the schema date and the sitemap together. Never restamp an unchanged page: a wrong revision date costs the whole site's freshness signal, not one page's.

    The median AI-cited page is 3.9 months old and around 70% of cited pages were published within the year.Position Digital, 3,508 citations · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a content editor planning genuine updates, knowing AI answers favour recently maintained pages. Context: these pages on [website] matter most for [category] questions: [paste up to ten URLs]. Task: for each page, say what a genuine update would look like this quarter: a statistic to refresh, a section the market has moved past, or a new question the page should answer. Rules: say plainly which pages need no update at all; no cosmetic suggestions, because I only change a visible date when content genuinely changed; one to three lines per page. Output: one entry per page in the order given, each starting with the word UPDATE or the word LEAVE.

  5. Day 14

    Run a readiness audit and file the fix list

    Close the week by auditing the site the way a machine reads it: rendering, structure, extractability, entity clarity. RankX AI's readiness check is free and takes a URL; whichever tool you use, the output of day 14 is a ranked fix list for the weeks ahead.

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are an AI retrieval system scoring a page. Context: read [URL or pasted HTML of your most important page]; the brand is [brand]; the market is [category]. Task: score the page 1 to 10 on five axes: text visible in the served HTML, answer-first structure, extractable facts, entity clarity around [brand], heading quality. Rules: justify every score in one sentence; for every score under 8, give the single highest-impact fix, concrete enough to act on today; end with the three [category] questions this page could plausibly be cited for and the one it answers best now. Output: a five-row score table, the fixes as a numbered list, then the three questions.

You end week 2 with pages a crawler can quote, answers at the top, and a fix list ranked by impact.

Week 2 in full: how-tos, worked examples and the week’s own questions

Measured not to workFour tactics the studies keep failing. Every hour they do not take funds the weeks above.

llms.txtAcross 137K domains, 97% of published llms.txt files received zero requests, and no major engine documents reading the file. (Ahrefs server-log study).

Schema as a citation lever1,885 pages given JSON-LD against a matched control group moved no AI citations on any platform, and no engine extracted a fact that existed only in markup. Keep schema for entity plumbing; expect no citations from it. (Ahrefs controlled test).

Keyword stuffing and content-score chasingStuffing measured at or below baseline in the original GEO study and in every replication since. (KDD 2024 and replications).

Single-prompt rank checksUnder a 1-in-100 chance the same prompt returns the same brand list twice. Any tool or agency quoting one run is quoting noise. (SparkToro and Gumshoe, 2,961 runs).

Week 3 · Days 15 to 21

Match the words the machines actually search with.

Engines rewrite every question into their own search queries before they answer, and those rewrites are visible if you track them.

  1. Days 15 to 16

    Read the fan-out queries and align your titles

    When an assistant answers, it first writes its own sub-queries: variations, modifiers, adjacent questions nobody typed. Your tracking records them. Rewrite titles, descriptions and section headings to use those exact phrasings, and give each sub-question its own section rather than sending the engine elsewhere for it.

    88% of Google AI Mode citations are not in the organic top 10 for the visible query: they rank for the sub-queries instead. Title-to-sub-query similarity is among the strongest ChatGPT citation correlates measured.Moz, ~40K queries; Ahrefs, 1.4M prompts · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a search engine generating fan-out queries. Context: a buyer asked an AI assistant: [paste one of your category questions]. The market is [category]. My current page titles and headings: [paste them from your site]. Task: 1) write the 15 sub-queries the assistant would most plausibly search before answering: variants, comparisons, modifiers and adjacent questions, phrased the way a search engine expects; 2) match each sub-query against my titles and headings. Rules: no duplicate sub-queries; for every unmatched one, say whether an existing page should absorb it or a new page is needed, and name the page. Output: the 15 sub-queries numbered, each followed by the word MATCHED plus the title, or the word GAP plus the recommendation.

  2. Days 17 to 19

    Build comparison and alternatives pages worth citing

    Name six or more tools including your rivals, corroborate every claim with something checkable, and say plainly when a competitor is the better choice, because a page that wins everything is a page nothing cites. These are the bottom-of-funnel questions assistants answer daily.

    In B2B SaaS, listicles, service pages and docs make up about half of all ChatGPT citations, and pages naming 6+ brands took nearly double the citations of pages naming none, 2.13 against 1.21 per page.Position Digital, 3,508 citations · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are an honest industry analyst drafting a comparison page. Context: the page is titled [competitor 1] alternatives, for [audience]. It includes [brand] and at least six real tools: [list them]. Task: outline the page. For each tool: who it fits best, one genuine strength, one genuine limit, and public pricing if known. Add a section on when [competitor 1] remains the right choice, and one on when [brand] is the wrong choice. Rules: every claim must be checkable; mark anything uncertain with the word VERIFY rather than asserting it; no superlatives; no tool wins everything, because a page where one does is a page nothing cites. Output: the full outline with headings phrased as buyer questions, roughly 60 words of notes per tool.

  3. Days 20 to 21

    Turn your expertise into crawlable LinkedIn text

    Publish the week's strongest material as native LinkedIn posts and articles under named authors. For B2B it is the text channel the engines actually read, and it compounds with the mention work in week 4.

    LinkedIn appears in 14.3% of ChatGPT Search responses, more than any social platform measured.Semrush, 325K prompts, early 2026 · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a LinkedIn ghostwriter for [named person, role at brand]. Context: the audience is [audience]. Source material: [paste the piece or its key points]. Task: write three native posts from it, three different angles: one contrarian take, one how-we-did-it, one surprising data point. Rules: a specific number or first-hand finding in the first two lines of each; 120 to 200 words per post; plain text; at most three hashtags; end each on a genuine question; mention [brand] at most once per post; no engagement-bait phrasing and no emoji walls. Output: the three posts, each under its angle as a one-word label.

You end week 3 speaking the retrieval layer's own language, with comparison pages built to be quoted.

Week 3 in full: how-tos, worked examples and the week’s own questions

Week 4 · Days 22 to 30

Earn the third-party mentions, then measure the month.

Most of what decides whether AI recommends you does not live on your site, and this is the week that work starts.

  1. Days 22 to 24

    Pitch the pages AI already cites

    Take the citation list from week 1 and ask for inclusion in the specific best-of articles and directories the engines keep quoting. Lead with a fresh, checkable number they cannot get elsewhere, and go to the outlets that get reprinted first.

    Presence in third-party listicles is the single strongest correlate of being recommended by ChatGPT in B2B SaaS, at +0.64, stronger than anything measured on a brand's own site.Position Digital, 3,508 citations · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are writing outreach asking for inclusion in an article AI assistants keep citing. Context: the writer runs [article title and URL], cited for [category] questions. My template: [paste the outreach template from the workbook]. My brand: [brand]. Positioning sentence: [paste it]. Two checkable numbers they cannot get elsewhere: [number one, with its date] and [number two, with its date]. Task: personalise the template into a ready-to-send email, plus two subject line options. Rules: under 140 words; exactly one specific, true sentence about their piece and no other flattery; make declining feel easy; no follow-up threats; the numbers do the selling. Output: the two subject options first, then the email body.

  2. Days 25 to 26

    Push review volume on G2 and Capterra

    Ask happy customers for reviews this week, not eventually. Complete the profiles, use your one canonical positioning sentence, and aim for steady volume rather than a perfect score.

    Review count correlates with ChatGPT recommendation at +0.39 while star rating measures at -0.07, and review aggregators are among the most-cited domains on Perplexity.Position Digital; 5W Research citation studies · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a customer marketing lead writing a review-request sequence. Context: brand [brand]; platform [G2 or Capterra]; sender [named person]; trigger moment [a success moment in your product, e.g. their first report ships]. Task: write three messages: 1) a 60-word ask sent at the trigger moment; 2) one gentle follow-up a week later; 3) a short thank-you once a review appears. Rules: ask for an honest review, never a positive one; no incentives beyond what the platform allows; suggest the reviewer mention their specific use case, because specific reviews are what AI answers quote; no guilt in the follow-up. Output: the three messages, labelled 1 to 3, nothing else.

  3. Days 27 to 28

    Show up where the threads are, by hand

    Answer real questions in the Reddit and community threads the engines cite, as a named person, without automation, because bought or botted placements die with the accounts. Pitch one or two pieces of digital PR for plain-text mentions: the mention is the asset even when no link comes with it.

    Branded web mentions correlate with AI Overview brand visibility at 0.664 against 0.218 for backlinks, a pattern that held when the study was extended to ChatGPT and AI Mode, and 66% of ChatGPT brand recommendations arrive without the brand's own site being cited at all.Ahrefs, 75K brands; Position Digital · measured

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are a community strategist who despises spam. Context: AI assistants cite these threads and questions in the [category] market: [paste them]. The person who would participate: [named person] from [brand]. A finding we can publish: [paste one number or result]. Task: 1) for each thread, judge whether [named person] can add real value as a named participant, yes or no with one reason; 2) for each yes, draft a two-sentence opening that answers the actual question before any product is mentioned; 3) turn the finding into two digital PR angles. Rules: each PR angle is a single plain sentence a journalist could quote with [brand] named in it; never draft anything that opens with a product pitch. Output: the thread judgements, the openings, then the two angles.

  4. Days 29 to 30

    Re-run the baseline and set the rhythm

    Repeat the week 1 measurement, report only the questions that never contained your name, and put the deltas beside the before screenshots. Then set the weekly rhythm: one fan-out review, one content refresh, one outreach ask, every week. The plan ends; the operating cadence does not.

    Copy-paste prompt for your AI assistant

    The highlighted slots take your own details; the button copies the whole prompt for ChatGPT, Claude, Gemini or whichever assistant you use.

    AI prompt

    Role: you are an analyst writing the honest day 30 report. Context: day 1 and day 30 AI visibility baselines for [brand] are pasted below. Stable citations typically take 8 to 16 weeks or longer, so day 30 measures direction, not victory. Task: report 1) share of voice change per platform, counting only the questions that never contained our name; 2) which question groups moved; 3) which competitors gained; 4) what did not move at all; 5) the three highest-leverage actions for the next 30 days. Rules: flat numbers get reported flat, no spin; tie every claim to a number in the data; where the data cannot support a conclusion, say so instead of concluding. Output: five numbered sections, under 500 words. Data: [paste both tracking sheets].

You end day 30 with a measured delta, a working rhythm, and the honest expectation set below.

Week 4 in full: how-tos, worked examples and the week’s own questions

The workbook

The workbook turns reading into doing.

A printable day-by-day checklist, the 48-prompt starter pack organised by buyer intent, the week 4 outreach template and the baseline tracking sheet. Email one carries the workbook link; seven more follow, paced to the plan’s weeks across thirty days, then the newsletter’s occasional notes.

No pre-ticked boxes and a one-click unsubscribe on every email. The address is used for this and nothing else. See the privacy policy.

Questions

What people ask before starting the plan.

Straight answers, including the ones where the honest answer is no.

Will my brand rank in ChatGPT within 30 days?

Probably not, and this plan will not pretend otherwise. Documented cases show first visibility signals in 2 to 8 weeks and stable citation patterns at 8 to 16 weeks or beyond, so day 30 delivers a baseline, machine-readable pages, the first third-party asks and a working weekly rhythm. Anyone promising a ranking in a month is selling the promise, not the outcome.

Do I need RankX AI to run the plan?

No. Every step names what to do and how to verify it by hand, and the essential outside tools, Google Search Console, Bing Webmaster Tools and IndexNow among them, are free. What a tracker changes is week 1 and day 30: repeated-run studies show a single manual check of one prompt is statistically noise, so measuring by hand means asking dozens of questions across six platforms, twice. RankX AI automates exactly that part, and running this plan is what its free trial is for.

Is this just SEO with a new name?

The foundations overlap and the differences bite. Classic SEO ranks pages for queries; AI assistants rewrite your buyer's question into their own sub-queries, retrieve passages rather than pages, and recommend brands mostly on the strength of third-party text. That is why 88% of Google AI Mode citations sit outside the organic top ten for the visible query, and why week 4 spends more effort off your site than on it.

What does the workbook add to this page?

The page carries the full plan, including every day's copy-paste AI prompt. The workbook adds the working materials in printable form: the checklist you can mark off with each day's prompt beside it, the 48-prompt starter pack organised by buyer intent, the outreach email template for week 4, and the tracking sheet for the baseline and the day-30 re-measure. It arrives by email, with the eight plan emails paced to the weeks.

We are small and nobody mentions us yet. Is any of this worth it?

Small brands are exactly who the mechanics favour right now. Mentions in ordinary web text outweigh backlinks by three to one in the measured correlations, review volume counts more than review score, and the engines cite pages that answer sub-questions well regardless of domain size. The brands doing this work while the category is quiet are the ones the answers will default to later.

How much time does the plan actually take?

Budget five to eight focused hours a week for a month: week 1 is mostly measurement setup, week 2 is editing your most important pages, week 3 is writing, and week 4 is outreach. One person can run it. What it does not need is a big team or a budget beyond your existing tools.

How RankX AI makes the numbers this plan is measured with is on the methodology page.

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