# Irina Maltseva

Irina Maltseva works on SEO and AI search visibility for B2B SaaS companies. Maltseva launched Seen, an AI SEO agency, and describes its work as building visibility through strategy, content, and authority, with pipeline as the measure of success.

- Profile: https://b2binfluencer.marketing/creators/irina-maltseva/
- LinkedIn: https://www.linkedin.com/in/irinamaltseva
- LinkedIn followers: 29,355
- Topics: artificial-intelligence, leadership, content-marketing, seo, ai-search-visibility, content-strategy, generative-engine-optimization
- Based on 14 dated posts, latest 2026-10-02

## Summary

Irina Maltseva helps B2B SaaS companies build credible SEO and AI search visibility, measured by pipeline.

- Best for: B2B SaaS brands with in-house content capacity and multi-month retainer budget for SEO and GEO.
- Not for: Consumer or DTC brands wanting a two-week audit, paid search, paid social, or guaranteed placements.
- Check first: Confirm in-house execution capacity and multi-month retainer budget before contacting them.

### Takeaways

- AI search visibility still depends on SEO fundamentals.
- Write to be extracted, not to hold attention.
- The buyer's real question is in the sales call, not the keyword tool.

## Main ideas

- **AI search visibility still depends on SEO fundamentals**: Maltseva argues that visibility inside ChatGPT, Gemini, Perplexity and Reddit is not a separate game from SEO. Brand mentions only build trust when they appear on relevant, authoritative sites, because a private blog network placement reads as spam to a language model, and one genuine answer in a high-signal Reddit thread outperforms dozens of mentions that get flagged and removed. GEO without SEO foundations is described as guesswork, and anyone claiming otherwise is described as selling something. A related claim: listicles on a company's own site are losing visibility while listicles hosted on third-party sites are gaining it.
- **Write to be extracted, not to hold attention**: Maltseva's argument is that AI rewards clarity and structure rather than a slow narrative reveal, so pages should be built like a structured briefing. The recommended moves: open with a direct definition, put the strongest claim in the first 20 to 30 percent of the page, turn headings into real user questions and answer them immediately, use named entities instead of generic categories, replace hedging with definitive statements, and close with a real summary rather than a footer. Balanced sentiment is preferred over hype or dryness. These rules come from Kevin Indig's analysis of 18,000-plus verified citations across 1.2 million ChatGPT responses, which Maltseva summarises rather than conducts; the cited findings include 44% of citations coming from the first 30% of a page and roughly 20% proper nouns in cited content.
- **The buyer's real question is in the sales call, not the keyword tool**: Maltseva argues that keyword research produces high-volume generic terms while the actual buyer types a long, specific problem into ChatGPT that shows zero volume in Ahrefs. That exact sentence already exists in the client's Gong transcripts, which is why Maltseva asks new clients for their sales calls rather than Google Search Console access. The underlying point is that marketing already has the relevant information and is not listening to it.
- **Manufactured first-hand experience is failing**: Google's push toward “hand-crafted” buyer's guides, in Maltseva's account, produced a wave of articles that perform every helpful-content signal — first-person language, an unbiased tone, links to data studies — without any real testing behind them. Those pages are now declining because readers and algorithms both recognise invented expertise, and because the pattern becomes impossible to miss when produced at scale or programmatically. Maltseva argues very little original, differentiated, first-hand B2B content exists and almost all of it is ghostwritten for search or AI visibility.
- **Placements should come through the founder's network, not cold outreach**: Maltseva's stated tactic for getting a SaaS client into “best tools for X” listicles is to ask founders which recent connections they have at non-competing SaaS businesses in the same space, often existing integration partners with the same audience. After checking the partner's site for relevance, the founder makes the introduction and Maltseva pitches a reciprocal article exchange, each side writing a relevant piece for the other, aimed at the angles where AI-answer visibility is wanted. The claim is that roughly nine out of ten warm pitches turn into published articles, against far worse conversion from cold outreach.
- **Narrow scope, and execution over audits**: Maltseva describes two rules for the work they accept: projects must stay within SEO and GEO, and engagements can’t be one-offs. An audit is about 5% of the job; execution is the remaining 95%. A company without an in-house team or the resources to act on recommendations is a bad fit for both sides. The post’s closing idea: knowing who isn’t a fit attracts more of the clients who are.
- **Show the result, don't describe it**: Maltseva's preference is for proof a reader can verify rather than narrative case studies. The agency homepage was rebuilt around live outputs from ChatGPT, Claude, Google and Perplexity for the commercial searches clients want to be visible for, replacing logos, testimonials and stock illustration, with an invitation to check the same queries in your own AI tool. The stated logic is that different clients in different niches appearing where it matters says more than a long case study. The same instinct shows up in what Maltseva says to founders who ask for a guaranteed ChatGPT ranking within three months.

## Work to read

- [Launching Seen, an AI SEO agency for SaaS](https://www.linkedin.com/posts/irinamaltseva_probably-my-most-important-update-here-today-activity-7447630329315741696-JxYN)
- [Writing for AI extraction: what 1.2M ChatGPT responses reward](https://www.linkedin.com/posts/irinamaltseva_if-your-intro-starts-with-in-todays-fast-paced-activity-7434559185931034624-azAZ)
- [The $12K client turned down](https://www.linkedin.com/posts/irinamaltseva_i-just-rejected-a-12k-client-it-would-have-activity-7506690763032973313-PaAO)
- [Ask for sales calls, not Search Console access](https://www.linkedin.com/posts/irinamaltseva_i-dont-ask-new-clients-for-google-search-activity-7497666023979044864-gYai)
- [Warm introductions for listicle placements](https://www.linkedin.com/posts/irinamaltseva_heres-the-exact-strategy-that-gets-our-saas-activity-7460285429838270464-0p7O)
- [Why 'I tested the software' buyer's guides are failing](https://www.linkedin.com/posts/irinamaltseva_if-you-follow-this-strategy-with-your-content-activity-7465023794768936960-u6g8)
- [Auditing what is sold as GEO](https://www.linkedin.com/posts/irinamaltseva_the-craziest-bs-being-sold-in-the-geo-industry-activity-7457756088214372352-T818)
- [Rebuilding a homepage around actual AI answers](https://www.linkedin.com/posts/irinamaltseva_it-took-me-four-months-to-come-up-with-an-activity-7503749023086977024-cafv)

## Brand relationships

- **Seen** (owned_business)
- **Aura** (disclosed_partnership)
- **LLM Mastery podcast** (mention)

## Partnerships

Maltseva does not sell sponsorship placements, sponsored posts, or media inventory in the posts here. The partnership route is client work through their agency, Seen, which builds SEO and AI search visibility for B2B SaaS companies and, in their words, measures success by pipeline. They describe the engagement as embedded rather than handed off: they build the strategy, while a small team helps execute and scale it. They work with both early-stage startups and established SaaS companies that have not seen real results from SEO. Two operating conditions shape any plan a buyer brings. First, Maltseva turns down one-time work, arguing that an audit is about 5% of the job and execution is the other 95%; a company without an in-house team or execution budget is not a fit. Second, they keep scope to SEO and GEO. They rejected a $12K project covering paid search, paid social, and demand generation because it fell outside that focus, even though they say they can do that work. Buyers should expect a retainer-style engagement with execution capacity attached and settle scope and internal resourcing before pitching. A second collaboration pattern appears in their posts: they ask founders for warm introductions to non-competing SaaS companies in adjacent niches, then pitch reciprocal article exchanges so each side publishes content aimed at searches the client wants to appear for in AI answers. Maltseva reports that about nine in ten warm pitches become published articles, against much weaker results from cold outreach. They run this tactic inside client work rather than offering it as a standalone format. For sponsorship opportunities, ask directly about availability and rates; no sponsorship policy, rate card, or official partnership inquiry page appears in the posts here.

## Alternatives

- Elena Dyulgerova: Consider Dyulgerova when the suspected bottleneck is not content production but whether anyone knows the brand at all. Their argument is that branded search—people typing the company name alongside a category or competitor term—is the trust signal that precedes organic growth, and that it is built by everything outside SEO: word of mouth, Reddit threads, YouTube comparisons, podcasts, newsletters and LinkedIn posts from a founder. For a B2B SaaS company whose pages rank reasonably but whose pipeline is flat, and whose sales calls are not recorded or whose founder will not make partner introductions, that diagnostic frame is closer to the problem than a page-restructuring engagement. Dyulgerova also writes directly about the organisational cause of stalled SEO: across more than 50 SaaS businesses, the pattern is slow execution—ten departments reviewing one blog post, months of planning, a single post taking six months to go live. A company that suspects its real constraint is internal approval speed will recognise that description immediately, and it is a useful outside opinion to put in front of a founder who keeps reopening decisions. The tradeoff: these posts offer diagnosis, not delivery. Dyulgerova describes what moves rankings and what slows teams down, but the posts do not describe an agency, a retainer, an embedding arrangement or a scope of work. Ask what execution support is available before hiring on this basis; the posts make a case for analysis, not an execution partner. There is also no AI-answer-specific method here—no query set, extractability rules or measurement of ChatGPT or Perplexity output. If the goal is to be named inside AI answers and someone has to rewrite the pages, this is a complementary voice rather than a replacement.
- Mohsin Nisar M.: Consider Mohsin Nisar M. when the product is sold through product or category pages and the problem is that those pages describe features instead of answering a specific buying question. The posts frame AI visibility as a positioning and data-structure problem rather than a writing problem: the question to answer is why an AI would recommend this company over its competitors, and the answer comes from solution specificity, consistent category terminology and complete product data. The worked example is ecommerce—a query like “best coffee machines under $300 with a grinder that fits a small kitchen” rather than “best coffee machine”—with Amazon and Reddit surfacing because their data and use cases are specific, while generic 500-word feature pages stay invisible. The second post sets out a Product Page Optimization framework covering entity-attribute-value structure, query-intent mapping, schema, review and user-generated content strategy, internal linking, product variants, discontinued products and conversational commerce readiness. For a SaaS or ecommerce company whose catalogue is large, inconsistent or full of near-duplicate pages, that checklist addresses a real gap that Maltseva’s buyer-language and page-structure work assumes is already in order. The tradeoff: the centre of gravity is ecommerce and product catalogues, not a B2B SaaS retainer. The framework comes as a visual mind map and a PDF released on request through a comment—a lead-generation format rather than an engagement. The posts show no embedding model, sales-call research or partner-introduction play. Ask whether the work can extend to a multi-month, in-team strategy engagement; otherwise, treat it as specialist catalogue and entity work to be scoped separately.
- Chandan Senapati: Consider Senapati when the budget is small, the timeline is short and the first question is whether AI-assisted discovery happens at all in this category. The case study describes a two-week project with a small jewellery business in Malaysia: after relatively simple changes to how the site’s information was structured and connected, Senapati observed 10 leads, 5 purchases and further conversations, with some customers saying they found the business through ChatGPT. The second post is a Reddit playbook that costs nothing but time: use site:reddit.com searches to find threads Google already ranks, read the thread before commenting, write one genuinely useful answer rather than a pitch, and let profile visits and inbound questions follow. For a founder-led business or a small team that cannot commit to a multi-month retainer, and for whom Reddit is an untapped channel where competitors are absent, this is a low-cost way to test whether conversational discovery produces qualified enquiries before spending on a full programme. The measurement instinct is also worth copying: Senapati explicitly asks peers whether they are tracking AI-generated traffic and whether it behaves differently from search traffic, the right question to settle early. The tradeoff: the evidence base is thin and self-reported. One two-week case study in a consumer retail category, with no control and no independent verification, does not establish what will happen for a B2B SaaS company with a long sales cycle. The post ends by asking other practitioners to compare observations, so it reads as an experiment shared for discussion, not a proven method. The Reddit approach also depends on patience and genuine contribution, which is exactly what most brands abandon; it does not scale instantly. A company that needs a strategy owner, a query set built from sales calls and reciprocal article placements should stay with a retainer engagement and use these tactics as additions.

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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/