# Kaleigh Moore

Kaleigh Moore is a B2B creator and consultant who helps companies improve how they appear in AI search answers. Moore shares practical guidance on AI visibility, content, and answer engine optimization through posts, video, and a newsletter.

- Profile: https://b2binfluencer.marketing/creators/kaleigh-moore/
- LinkedIn: https://www.linkedin.com/in/kaleighmoore
- YouTube: https://www.youtube.com/channel/UCRJaeJYJoNm-AcZADywn60Q
- Topics: artificial-intelligence, content-marketing, seo, ai-search-visibility, answer-engine-optimization, creator-marketing
- Based on 25 dated posts, latest 2026-10-07

## Summary

Kaleigh Moore is most useful for improving how B2B brands appear in AI search answers.

- Best for: B2B SaaS company selling workflow software to operations and RevOps teams.
- Not for: Consumer skincare brand seeking Instagram or TikTok direct product sales.
- Check first: Confirm contact route and whether the brand can supply engine visibility.

### Takeaways

- AI visibility is earned off-site by named individuals, not brand pages.
- One question becomes twenty: compete for the cluster, not the keyword.
- Consulting case study: brand mention rate rose from 11% to 24% in one quarter.

## Main ideas

- **AI visibility is earned off-site by named individuals, not brand pages**: Moore's central claim is that most AI answers draw on third-party, human-authored sources, so brands that optimize only their own sites or blogs capture a small share of available citations. In their view, credibility belongs to the individual expert, not the brand. Models favor expertise that appears repeatedly across independent sources and is attached to a verifiable name. Moore coined the term "Creator AEO" for earning AI citations through human expertise published on third-party platforms. They include LinkedIn creators, B2B influencers, customer advocates, and employees in the category. They also argue that, because individuals get cited, how a person is described across the internet becomes a practical asset. Their advice: narrow a topic until it feels slightly uncomfortable, write a headline that makes a claim rather than states a job title, publish material built to be lifted—lists, headings, named tools, hard numbers—and use the same exact version of your name everywhere while claiming bylines you already hold. Guest-post bios, podcast pages, and speaker profiles are an under-managed surface, Moore argues.
- **One question becomes twenty: compete for the cluster, not the keyword**: Kaleigh Moore explains that an AI tool uses query fan-out: it takes one buyer question, expands it into five, ten, or sometimes twenty related sub-questions, finds the best answer to each, and stitches them into one response. The old approach—writing one post around one keyword phrase—no longer matches how the answer is built. A brand has to answer the whole constellation of questions around a purchase. Moore argues that language models reward depth and specificity, so marketers should go deep on one narrow slice and answer questions buyers did not know to ask. They urge readers to ask themselves whether they truly own a topic or merely show up for it. Moore says they have advocated narrowing to a specific niche for about a decade.
- **AI handles tedious writing well but struggles with what makes it journalism**: Drawing on their own use of AI as a fractional editor and content marketing lead, Moore distinguishes what the tools do well from what they cannot do. AI speeds up tedious writing, they say, but creates nothing wholly new because it works only from existing information. It cannot interview a real person or fact-check itself; Moore notes that it will invent data. Nor can it replace the original perspective that comes from lived experience. They rank prompting as the most important skill right now and teach it by comparing the process to onboarding a junior writer: give the model examples, dos and don'ts, brand guidelines, and full content briefs. They also make the human side of that process a priority.
- **Most companies have no clear owner for the work**: Moore points to a mismatch between who handles answer engine optimization and where cited sources appear. A survey figure they cite shows 52.8% of marketers saying their SEO team handles AEO, while Reddit, YouTube, and LinkedIn rank close behind as cited sources. Those are communities, not search surfaces. Moore argues that work with strong social and community dimensions has landed with a team that may lack the context to do it well: you cannot keyword your way into a human conversation, and no one inside most organizations clearly owns AI search visibility end to end. They see a career opportunity in that gap: someone who can speak credibly about both citation rates and community norms is becoming a scarce, valuable hire in B2B marketing.
- **Consulting brings teams into alignment and measures mention rate**: Moore's published account of their consulting lays out a method, not a deliverable: bring the social, influencer, SEO, and content leads into one room; explain how answer engines choose sources; quantify the brand's citation gap against competitors by engine and by the creators driving mentions; agree on joint KPIs and pick one engine to focus on; then write a plan that names internal owners, rewrites creator briefs around specific buyer questions, and sets a re-evaluation date. This explains what they are hired to do and shows their view that the problem is as much organizational as technical.
- **Kaleigh Moore's own pivot is one of their arguments**: Moore's writing returns to their move from services to creator work, including the less flattering parts. They describe twelve years of self-employment, content marketing projects drying up, reaching the final stages of two full-time interviews and losing both, and deciding in February 2026 to go all-in on being a B2B creator on LinkedIn, with a rebuilt newsletter and YouTube channel. They say they keep wrestling with the title "B2B creator" because it sounds bizarre for a 37-year-old woman rather than a twenty-something with a large Instagram following. They see the work as the next evolution of their content marketing and journalism, now done on camera and distributed through their own channels. They are equally direct about the economics, including thinner margins after heavy spending on video production.

## Work to read

- [Creator AEO: the case for third-party expertise in AI answers](https://www.linkedin.com/posts/kaleighmoore_creators-are-about-to-become-the-mvps-of-activity-7491901041731334144-Nvir)
- [Consulting case study: brand mention rate from 11% to 24% in a quarter](https://www.linkedin.com/posts/kaleighmoore_i-havent-done-a-great-job-of-talking-about-activity-7507846721536782336-BNt6)
- [How answer engines expand one question into twenty](https://www.linkedin.com/posts/kaleighmoore_the-future-of-content-is-niche-when-someone-activity-7450939897491898368-3Y1c)
- [The 2026 pivot, with the numbers attached](https://www.linkedin.com/posts/kaleighmoore_story-time-in-feb-2026-i-decided-to-pivot-activity-7486827617191591936-_X6N)
- [The career red thread: PR, ecommerce, agency, journalism](https://www.linkedin.com/posts/kaleighmoore_last-week-lia-haberman-and-i-talked-about-activity-7508955902205403136-BaTL)
- [What "B2B creator" work actually means, with examples](https://www.linkedin.com/posts/kaleighmoore_i-keep-wrestling-with-the-b2b-creator-title-activity-7499900000202551297-2VUl)
- [Six months in: $37,000 spent on video production](https://www.linkedin.com/posts/kaleighmoore_ive-spent-more-than-37000-on-video-production-activity-7491176317657239552-Vv6T)
- [Why LinkedIn is where AI answers get their evidence](https://www.linkedin.com/posts/kaleighmoore_linkedin-is-the-most-cited-source-for-work-related-activity-7495532507329650689-i9Bg)
- [Turning scattered bios into an AI-visible entity](https://www.linkedin.com/posts/kaleighmoore_ahrefspartner-activity-7465103230486781953-OgvO)

## Brand relationships

- **Collective** (disclosed_partnership)
- **Ahrefs** (disclosed_partnership)
- **beehiiv** (disclosed_partnership)
- **AirOps** (disclosed_partnership)
- **Scrunch** (disclosed_partnership)
- **viktor.com** (disclosed_partnership)
- **Cluing** (disclosed_partnership)
- **Unnamed mid-market B2B SaaS company** (client)

## Partnerships

Kaleigh Moore sells two kinds of work: paid creator content and AEO advisory. For content, they describe sponsored or co-authored posts for B2B tools they use—AirOps, Scrunch, Ahrefs, beehiiv, viktor.com, and Cluing—published from their own LinkedIn, Twitter, and newsletter accounts rather than brand channels. For advisory, they help social, influencer, SEO, and content teams connect creator work to AI answer visibility. Their published case study covers a mid-market B2B SaaS company where a cross-team session and revised creator briefs raised the brand's mention rate across its tracked prompt set from 11% to 24% in one quarter, with 30% of the creator budget reallocated to creators already cited in AI answers. They also publish sponsored posts labeled with partner hashtags for Collective and Ahrefs that include their own referral code. Ask Kaleigh for current rates and the commercial terms behind these partnerships. Requests reach them through LinkedIn messages; they say they take inbound deals for LinkedIn, Twitter, and their newsletter.

## Alternatives

- Aabhas Vijay: Choose Aabhas Vijay when the first problem is diagnosis: is there anything to win in AI answers for this category, and what content would win it? Their two posts answer those questions. They walk through running real buyer questions in ChatGPT to see whether the model searches the web for the category, since answers drawn from training data alone will not change no matter how a page is rewritten. They explain query fan-outs, citing an average of 7.6 searches behind one prompt, and advise mapping the sources ChatGPT actually returns rather than checking whether the brand appears. They also cite an analysis of 22,881 AI citations, in which 34.5 percent went to domains with DA below 40, to argue that specificity and usefulness can beat raw authority. For a brand that needs a framework and worked examples before committing budget, this is the more directly usable material, and it is free to apply.
- Bennett Cohen: Consider Bennett Cohen when the binding constraint is topic selection and measurement rather than publishing. Their posts give concrete selection logic: stop chasing a head term when a site has roughly 25 backlinks and the top result has more than a million, and target narrower buyer-intent phrases instead. Examples include ranking for a vertical-specific CRM term at difficulty 22 within three weeks and a Shopify-specific automation phrase that became 21 percent of demo requests. They also explain how to tell whether AI search work is paying off: track citation clicks through utm_source in analytics; treat direct and branded traffic as lagging signals because most people never click a citation; connect self-reported attribution fields on demo and sign-up forms to the CRM; and conduct periodic manual spot checks without treating them as the primary metric. If the need is to fix what the brand optimizes for and how it proves movement, this is the closer match.
- Lee Odden: Go to Lee Odden when the brand is building or rebuilding an entire influencer program and needs research to justify it internally, or needs to match influencer types to funnel stages. Their posts describe surveys of thousands of B2B marketers since 2020, a fifth research report in progress, and work with Ascend2 covering nearly 800 B2B marketers. Their argument: original research combined with influencer and experiential content creates differentiation now that every content marketer has AI, while influencer partnerships, industry media, AI search, and social proof build brand validation across awareness, engagement, decision, and post-sale. They name the common failure directly: one-size-fits-all influencer research maps a famous brandividual to a decision-stage brief, then disappoints. Practitioners and subject-matter experts suit consideration; customers telling challenge-and-solution stories suit decision-making. That mapping of influencer type, audience, and activation is the offer here, with an audience already used to the topic, including a long-running conference speaking slot.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/