# Sam Dunning

Sam Dunning is a B2B SaaS marketer who helps software companies attract sales-ready prospects through SEO and AI search. His advice focuses on buyer-focused comparison pages, useful product evidence, and measuring how marketing contributes to demos and revenue.

- Profile: https://b2binfluencer.marketing/creators/sam-dunning/
- LinkedIn: https://www.linkedin.com/in/samdunning
- Median of last 8 posts: 34 reactions, 10 comments (checked 2026-11-02)
- YouTube: https://www.youtube.com/channel/UC7OhjYB9-p0b6ZNnXMOzjLQ
- Topics: artificial-intelligence, b2b-marketing, seo, marketing-attribution, ai-search
- Based on 9 dated posts, latest 2026-10-07

## Summary

Useful for B2B SaaS SEO and AI search advice that turns buyer comparison pages into sales-ready demos.

- Best for: B2B SaaS brands or agencies seeking organic demos through AI search and buyer-intent pages.
- Not for: Enterprise launch needing one sponsored post, gated whitepaper, no website changes, no ongoing content.
- Check first: Confirm audience demographics and whether cited client results are independently substantiated.

### Takeaways

- Target buyer-intent searches like competitor alternatives and best category software, not broad informational queries.
- Keep pricing, proof, and specifications readable as text, not locked in images, widgets, or video.
- Last touch can obscure how search, content, and recommendations built trust before outbound reply.

## Main ideas

- **Target searches that signal a buying decision**: Dunning favors narrower searches from people comparing vendors over broad, early-stage queries. His reasoning is that a small number of people with a clear need may matter more than a large audience reading general advice.
- **Give buyers evidence, not more generic AI-written pages**: AI can help with research and first drafts, Dunning says, but it cannot supply a company’s customer knowledge or make interchangeable content trustworthy. Pages should show how a product works, explain the limits of its proof, answer sales questions, and say who may not be a good fit.
- **Make commercial pages useful to AI search systems**: Dunning argues that AI assistants do not need a separate content strategy; they need clear, current answers to buyer questions. Product details and evidence must be readable on the page, and comparison or pricing information needs updating as products and competitors change.
- **Do not mistake the last touch for the whole buying journey**: Dunning warns that a sales email can get recorded as the source of a deal even when search, comparisons, video, or social content helped make the buyer ready to respond. He recommends recording both how a buyer first found the business and what influenced the decision.
- **Search changes, but buyers still compare expensive software**: Dunning pushes back on repeated claims that SEO is finished. His argument is not that search stays the same: buyers now move among search engines, AI tools, review sites, video, and podcasts. The continuing opportunity, in his view, is to help them compare vendors, check pricing, and solve costly problems.

## Work to read

- [7 money steps to drive organic demos in 90 days](https://www.linkedin.com/posts/samdunning_ive-been-in-seo-10-years-partner-with-activity-7512582966120869888-ya6H)
- [How RB2B got recommended by Meta's Muse and ChatGPT's Dot](https://www.linkedin.com/posts/samdunning_metas-muse-and-chatgpts-dot-are-now-recommending-activity-7521956608428392448-y-cR)
- ["SEO has died about 15 times" — the adaptation timeline](https://www.linkedin.com/posts/samdunning_seo-has-died-about-15-times-since-i-started-activity-7521594249222733825-r28U)
- [Why sales takes credit for 12+ months of marketing](https://www.linkedin.com/posts/samdunning_sales-sent-an-email-and-take-credit-for-12-activity-7522753801976578048-_e39)
- ["Publish 1,000 AI blogs before lunch" — what makes the pages book demos](https://www.linkedin.com/posts/samdunning_great-news-you-can-now-publish-1000-ai-written-activity-7521236702477307904-Q6M3)
- [Small keywords, fast results: two client examples](https://www.linkedin.com/posts/samdunning_you-shouldnt-have-to-wait-12mos-to-see-revenue-activity-7513565589454364672-Qbj7)
- [A $750 content day in London and the "media flywheel"](https://www.linkedin.com/posts/samdunning_im-spending-750-on-8hrs-in-london-this-activity-7522378495407337472-RZfW)

## Brand relationships

- **Breaking B2B** (owned_business)
- **RB2B** (client)
- **VerifyTreatment** (client)
- **Proposify** (client)
- **B2B Full Circle** (mention)

## Partnerships

The reviewed material does not document a sponsorship or creator-partnership program for Sam Dunning. The posts show a marketing agency operator (Breaking B2B) publishing LinkedIn, YouTube, and podcast content, and appearing at the B2B Full Circle event, but nothing in them sets out partner formats, pricing, audience specifications for sponsors, disclosure practices, or an inquiry route for paid collaborations. The recurring call to action in nearly every post points to a free playbook download (breakingb2b.com/playbook), not to a sponsorship or media-kit page, and that address should not be treated as a partnership contact. Because no official sponsor policy, rate card, or disclosed sponsored placement appears in the evidence, no partnership formats are listed here and no inquiry link is set. For a buyer, this is an open research gap rather than a finding that Sam Dunning declines paid partnerships: the practical next step is to ask directly about sponsored placements, event or podcast integration, and disclosure terms before building a budget line. Any plan that assumes a defined sponsorship product would be resting on assumption, not on this evidence.

## Alternatives

- Justin Berg: Best alternative when the campaign decision is the same — a B2B SaaS agency trying to generate organic demos through AI search — but the agency's harder problem is proving the channel internally. Justin Berg's reviewed posts are written for exactly that reader: a VP marketing being asked to show a CEO that AI search is worth funding, and a marketing team whose AI pipeline lands in the CRM as direct traffic. One post is a five-step stop/start checklist (stop problem-aware and top-of-funnel content, ship solution-aware listicles and competitor comparisons, skip llms.txt and visibility-dashboard tinkering, add self-reported attribution), the other shows the attribution argument with concrete numbers: 13 deals visible in the CRM rising to 702 after self-reported attribution was added for one vertical SaaS client. If the brief includes a measurement or budget-defence requirement, or the buyer wants the 90-day programme stated as a short checklist rather than a longer playbook, this is the stronger pick.
- Anna Moragli: Better when the site is a large ecommerce catalogue, not a B2B SaaS product, or when the discovery problem is technical scale rather than demo generation. One reviewed post describes ecommerce sites with 300,000+ indexable pages where filters, parameters, internal search results and duplicate category combinations drain crawl budget and compete with the pages that make money, arguing that growth can start with removing 250,000 pages. The other covers prompt research across more than 10,000 prompts to work out what ecommerce brands should do to win in AI search. An agency with an ecommerce client, or one whose first problem is index bloat and duplicate URLs, gets a more relevant method here than from a B2B demo-generation playbook.
- Horacio Gallegos: Consider only if the campaign's audience is commercial real estate or another highly niche professional service and the channel is paid social feeding a local lead funnel. One reviewed post asks how to choose keywords and create content that pulls Google traffic to a commercial real estate website and raises conversions; the other covers running effective Facebook ads when the addressable audience is too small to use standard targeting. It is a closer fit for a niche local-service brief with a paid-social element than for a software demo-generation brief.

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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/