9 Best SaaS Content Writers Who Understand AI Search in 2026

Most “best SaaS content writers” lists have the same flaw: the person who wrote them is on them, usually near the top. Three of the roundups I read while researching this one did exactly that. Pawel Tatarek’s list of 16 opens with Pawel Tatarek, Oliver Munro’s list of 12 opens with Oliver Munro, and Manal Ghamir’s list puts Manal Ghamir third. None of that makes them wrong, but a reader deserves to know how the order was decided.

So this list is built differently. It is unranked and sorted alphabetically by surname, which puts me eighth of nine, so no one is first because of a judgement. The test for getting in was narrower than “writes good blog posts”. It had to show, on the writer’s own pages, that they understand how content gets found and cited by AI assistants. That one test removed most candidates. I read the sites of about 20 individual SaaS writers, drawn from five public directories and roundups. Fewer than a third published anything about AI search that you can check.

How were these nine writers chosen?

Every writer on this list met four conditions on 11 October 2026:

1. An individual, not an agency. You hire the person whose name is on the page. Agencies and studios were left out, however strong their work. I run Vatam, but it is a one-person consultancy, so my entry is also an individual you would work with directly. I sell this kind of work, so weigh my entry accordingly.
2. B2B SaaS or software focus. Their own site names SaaS clients, SaaS services or a SaaS niche.
3. Public AI search evidence. A service called AEO, GEO or AI search; a published experiment or study; a citation-focused framework; or a case study that mentions AI citations. “I use AI tools to write” did not count, because that is a production method, not an understanding of search.
4. Checkable claims. I read each writer’s own site. Where a number is theirs and I could not verify it, I say it is self-reported.

Two honest limits. First, I checked each writer’s own site, and for Nathan Ojaokomo I also used the author pages that HubSpot, G2, Realize and Blockchain-Ads publish for him, because his experience is better documented by others than by himself. Second, one profile is of someone who is not for hire (Ryan Law, in-house at Ahrefs), because his published data is shaping what every SaaS writer should know. Everything else is an individual you can hire.

The nine at a glance

Why does AI search literacy matter for SaaS content?

Because the buyers you write for have already moved. G2’s April 2026 research, based on a March 2026 survey of 1,076 B2B software buyers, found that 51% now start their research with an AI chatbot more often than with Google, up from 29% the year before. 69% said a chatbot recommendation led them to choose a different vendor than they first planned, and one in three bought from a vendor they had never heard of. For a SaaS company, being named in the answer is now part of the funnel.

The search results page those buyers do see is changing too. Ahrefs found that the presence of an AI Overview correlates with a 58% lower average click-through rate for the top-ranking page, in a study of 300,000 keywords published on 4 February 2026. In October 2026, AI Overviews appeared on 82.91% of US desktop branded searches, with third-party sources such as Wikipedia, YouTube and LinkedIn often shaping what they say about a brand. A writer who only optimises the company’s own blog is working on one input of several.

That is the skill gap this list is about. Ahrefs’ study of 75,000 brands found that YouTube mentions (about 0.74 correlation) and branded web mentions (0.66 to 0.71) tracked AI visibility far more closely than backlinks. The writer you want knows that and plans content beyond your blog. For the mechanics, see my guides on how to get cited by ChatGPT, the difference between AI citation and AI recommendation and how SEO, AEO and GEO fit together.

1. Rosanna Campbell: expert-led thought leadership that does not sound like a chatbot

What she has done. Rosanna Campbell’s site lists long-form thought-leadership articles, research reports, interview-based newsletters and LinkedIn ghostwriting for B2B SaaS teams, with the clients above. She describes her ghostwriting as sounding like the expert, not like a chatbot.

AI search evidence. Her long-form service explicitly lists “SEO/GEO optimized blogs”. That is a short claim rather than a case study, so ask to see a piece and how it is structured for extraction: direct answers near the top, named sources and expert quotes.

Best fit. A SaaS team with subject-matter experts who are short on time, and which needs their knowledge turned into content that earns the third-party mentions AI systems lean on. Watch-out: her homepage publishes no numbers, so request results from past work.

2. Manal Ghamir: comparison pages and fixed-scope projects

What she has done. Her portfolio includes a Notion vs Asana comparison, an article on CRM automation for reducing SaaS churn, a Chameleon AI visibility teardown and an AI visibility case study for a SaaS client she does not name. She is the only writer in this list who publishes starting prices on the homepage I read, which makes a small first project easy to scope.

AI search evidence. She titles herself an AI visibility strategist and describes her approach as search intent, direct answers, accurate product detail, useful evidence and clear page structure. Her site emphasises intent, answers and evidence rather than promised rankings, which is the right emphasis. Her portfolio pieces are the proof to read.

Best fit. A SaaS company that needs a few high-intent pages rewritten, or an audit of pages that should be cited and are not. Watch-out: her site names no clients and publishes no numerical results, so ask for references.

3. Ayomide Joseph: case studies with numbers and published AI search experiments

What he has done. His case studies carry numbers. For Edgemesh he reports 5 million impressions and 40,000 clicks in 14 months. For Trengo he reports a number one ranking built on comparison pages. For Aura he reports 3,000+ additional traffic from eight long-form pieces. He also lists work for HYCU on comparison pages. All figures are as stated on his site. Nutshell’s author page describes him as specialising in martech and cybersecurity SaaS.

AI search evidence. This is the strongest published testing on the list. His blog carries four research posts, including “The Citation Economy: Which Sources AI Engines Cite” and a query fan-out experiment across 270 naturalistic queries on how ChatGPT, Gemini and Perplexity recommend B2B alternatives. A writer who tests this has seen how an AI assistant builds a shortlist, which is exactly what comparison pages are for.

Best fit. A SaaS team that wants comparison and alternatives pages written by someone who has studied which sources the assistants cite. Watch-out: numbers are self-reported, so ask which pages produced them.

4. Ryan Law: the data every SaaS writer should read (not for hire)

Why he is here. Ryan Law is in-house at Ahrefs, so he is a person to follow rather than to hire. He authored the Ahrefs study showing a 58% lower click-through rate for top-ranking pages when an AI Overview is present (300,000 keywords, February 2026) and the October 2026 analysis showing AI Overviews on 82.91% of US desktop branded searches. If you manage SaaS content, those two numbers change how you forecast organic traffic and what you ask your writers to do about brand search.

What to take from his work. Branded results are now shaped by sources you do not own. A content plan that ignores Wikipedia, YouTube and LinkedIn is leaving part of your brand narrative to others. Watch-out: his data is Ahrefs data, so read the methodology in each post.

5. Kaleigh Moore: AEO strategy and fractional content leadership

What she has done. Her site states 12 or more years in enterprise SaaS content leadership and lists clients including Stripe, Shopify Plus, IBM, SAP, Jasper and Amazon Business, plus bylines in Forbes and ADWEEK. She reports delivering 1,800% organic traffic growth for SaaS clients. These are her own claims.

AI search evidence. She positions herself as an AEO strategist, offers a paid content and AI search audit, describes a framework she calls the Source Signal Stack, and states that she is doing graduate research at Harvard on LLM information retrieval. Her blog is the best place to judge her thinking, with posts on what makes content citation-worthy to AI (February 2026) and what she has learned about GEO so far (October 2025).

Best fit. A SaaS content lead who wants strategy and an editorial system that keeps quality high while AI-assisted output rises. Watch-out: no location is stated on her site, and the headline numbers are self-reported.

6. Oliver Munro: fractional SEO and content operations

What he has done. He sells fractional SEO consulting, content strategy, content operations and writing to founders and small marketing teams, with a stated aim of better content return on investment and visibility across Google and AI search engines. His site has a case studies page, but no figures on the homepage I read.

AI search evidence. His blog covers “What is Answer Engine Optimisation (AEO)? What It Needs to Work” and a roundup of AI search visibility tracking tools, and his homepage positions the work around both Google and AI search. That covers strategy and measurement as well as writing.

Best fit. A lean SaaS team, especially in fintech or operations software, that needs someone to run the programme and write. Watch-out: ask for quantified outcomes, since none are on the homepage.

7. Nathan Ojaokomo: bottom-funnel comparisons and alternatives pages

What he has done. Nathan Ojaokomo has the most third-party documentation of anyone on this list. HubSpot’s blog lists him as a content writer and marketer focused on B2B SaaS. G2 Learn lists him as a B2B SaaS content writer. Realize, Taboola’s platform, describes him as a content expert in B2B long-form, bottom-funnel and expert-led pieces, with five years of experience and past work for HubSpot, Softr, Sinch and Vimeo, and he runs a newsletter for freelancers called Hey Freelancer and a software review site called BonSoloStack. His Blockchain-Ads contributor profile, which places him in Ibadan, Nigeria, names HubSpot, Zapier, Vimeo, Paddle, MoEngage and Hotjar, and shows October 2026 pieces on prediction market advertising, which is relevant if you sell into crypto or fintech. A March 2026 interview with the Accrue blog covers how he built a B2B writing career, including studying SEO from Backlinko and Ahrefs and working for Vimeo, HubSpot, CoSchedule and Buffer.

AI search evidence. Blockchain-Ads describes him as a writer and strategist who specialises in “SEO, product-led content, and AI search”. His own site, as it appears in search listings, positions him as an SEO and GEO content writer for B2B SaaS, and its articles include “What Is a GEO Content Writer? What They Do and How to Hire One”, “Who Can Write SaaS Content That Ranks on ChatGPT and Google?” and “11 Best AI Search Visibility Tools For SaaS In 2026”. Other writers’ directories list his focus as bottom-funnel comparisons and AI citations. His ranking and citation results are his own claims, so ask for the live URLs.

Best fit. A SaaS company with a list of competitors and a need for fair, tested comparison pages, or a crypto and fintech software brand that wants a SaaS-trained writer. Watch-out: Realize now lists him as a content expert there, so confirm his availability for freelance projects.

8. Victor Olanrewaju: AI citation strategy, measured, with crypto and fintech depth

What I have done. I have published nearly 10,000 articles across crypto and finance outlets including CCN, BeInCrypto, AMBCrypto, Benzinga and Coin Edition. At Ventrix Media I ranked first on Google for “XRP price prediction” in 2021, which helped partner crypto brokers see thousands of quality leads. In 2026 I founded Vatam.

AI search evidence. Vatam’s case studies are in AI citation, with numbers I can show. LAGE Lightings went from 7th to 1st in ChatGPT in three months, and Lens & Co by Tiara reached Google page one for all four tracked searches and ChatGPT’s first place. I have published the method in guides such as how to check what ChatGPT says about your business.

The honest caveat. SaaS is the newest part of my portfolio. I work in growth for AmasoAI, a software product, and my strongest published proof is in crypto, fintech and e-commerce rather than in a long list of SaaS clients. I am on this list because the AI citation work is real and checkable, not because of a SaaS client roster, and because Vatam, the one-person consultancy I run, is where I do that work. You would work with me directly, and I do not have a team to hand work to. Compare me against the other eight on exactly that point.

9. Pawel Tatarek: volume, refreshes and case studies at SaaS scale

What he has done. His homepage states more than 700 blog posts written for B2B SaaS brands over five years, with articles that rank in positions one to three, bring in thousands of visitors each month and are cited in AI search results. The site shows examples of top Google rankings and AI Overview citations, and 14 or more client logos.

AI search evidence. His headline service is “SEO/GEO blog posts”, with AI workflows for scaling content and a visible set of AI Overview citations on the page. Having Perplexity on the client list is a signal worth asking about.

Best fit. A SaaS team with a content backlog, a need to refresh decaying posts or a plan for steady monthly output. Watch-out: his claims are self-reported, so ask for the live URLs behind them.

How do you choose the right SaaS writer for AI search?

Do not choose on the headline. Choose on what a writer can show you in a 30-minute call. Ask these seven questions:

1. Show me three pages you wrote that rank and are cited. Then check them yourself in ChatGPT, Perplexity and Google. Use the 30-minute test.
2. How do you test whether a page gets cited? A good answer includes a list of buyer questions, repeated runs on a schedule and a record. A bad one is “I use an AI score”.
3. What goes at the top of the page? The direct answer, with the named product, the use case and the facts an assistant can lift.
4. How will you fact-check product claims? They should test the product, or interview someone who does.
5. What will you do beyond our blog? The research above says brand mentions and sources like YouTube matter, so they should have a plan for third-party presence.
6. How do you handle comparisons fairly? Clear criteria, named competitors, real limits. See how crawlers read your pages and which schema markup helps.
7. What do you refuse to promise? Anyone who guarantees citations is misleading you. Google says there are no additional requirements to appear in AI Overviews or AI Mode, and it states that you do not need special files or markup for them. AmasoAI’s terms say it cannot guarantee a citation either.

Be wary of any writer who sells “ranking position in AI”. SparkToro’s study of 2,961 prompts found that AI tools almost never return the same list of brands twice. A good writer talks about citation rates over many checks, not one screenshot. If you want a tool for that, read my AmasoAI review and remember its disclosure.

What should you pay a SaaS content writer?

Only one writer on this list, Manal Ghamir, publishes starting prices on the homepage I read: from $275 for a SaaS article, from $375 for a comparison page, from $150 for a content mini audit and from $900 a month on retainer. Everyone else asks you to enquire. Prices change, so confirm them directly. Whatever the rate, insist on a fixed scope that names the number of pages, the research method, the fact-checking process and the revision limit. For the cost of AI visibility work on my side, see the published Vatam prices.

How do you make a SaaS page that AI assistants quote?

Whoever you hire, brief them against these six habits, all consistent with the research above:

• Lead with the answer. One or two sentences that name the product category, the use case and the key fact.
• Use specifics. Pricing, limits, integrations and dates, stated plainly, because assistants quote facts.
• Test the product. Screenshots and first-hand findings separate your page from a rewrite of everyone else’s.
• Compare fairly. Name your criteria and your competitors, and state real limits, so a buyer can see why each option fits. Buyers use these pages to make a shortlist.
• Earn mentions elsewhere. Reviews, community answers, video and podcasts feed the sources assistants read.
• Measure the same questions every month. Record citations by question and engine, and keep a baseline.

The bottom line

The best SaaS writer for AI search is the one whose evidence you can check and whose method you can repeat. Start with the one or two profiles above that match your need, ask the seven questions, and run the 30-minute test on their published pages before you sign anything. If your company sits in crypto, fintech or e-commerce, or you want AI citation strategy measured and written in one engagement, talk to me, with the disclosure above in mind.

Sources

• G2: The Answer Economy (April 2026)
• Ahrefs: AI Overviews reduce clicks (4 February 2026)
• Ahrefs: AI Overviews on branded searches (October 2026)
• Ahrefs: brand visibility in AI, a study of 75,000 brands (12 December 2025)
• SparkToro: AIs are highly inconsistent when recommending brands
• Google Search Central: AI features and your website
• Writers’ own sites, read 11 October 2026: Rosanna Campbell, Manal Ghamir, Ayomide Joseph, Ryan Law, Kaleigh Moore, Oliver Munro, Nathan Ojaokomo, Pawel Tatarek