Your buyers ask Google, ChatGPT, Claude, and Perplexity which software they should consider. They compare vendors, research alternatives, and look for products that can solve a specific problem.
You want your SaaS brand included in those answers.
Who writes content that can help? I do.
I’m Nathan Ojaokomo, a freelance B2B SaaS SEO and GEO content writer. I create product-led articles that help software companies rank on Google and improve their chances of being mentioned or cited in ChatGPT, Perplexity, Google AI Overviews, and other AI answers.
While no writer can guarantee a citation, I can give search engines and AI systems clearer, more credible information about your product, the problems it solves, and the buyers it suits.
Nathan Ojaokomo writes SaaS content for Google and AI answers
Best for: B2B SaaS marketing teams that want an experienced writer to produce commercially important articles or blog posts for Google, ChatGPT, Perplexity, and other AI platforms.
I’ve spent more than five years writing SEO content for software companies. My clients include HubSpot, Zapier, Vimeo, Paddle, MoEngage, Softr, Taboola, Hotjar, Coda, CoSchedule, VEED, Sinch, and Appcast.
My strongest assignments cover the questions buyers ask while evaluating software:
- Which products are best for a specific use case?
- How does one platform compare with another?
- What are the strongest alternatives to a known product?
- Is a particular tool worth paying for?
- How can someone complete a task using the software?
- Which provider should a company hire?
These questions appear as conventional Google searches and conversational AI prompts. I research both before I write.
You can hire me to create a new SEO content strategy, refine an existing brief, or execute the content strategy your internal team or agency has already prepared.
My B2B SaaS content writing service covers the research, product testing, expert interviews, writing, screenshots, optimization, and revisions required to turn an opportunity into a publish-ready article.
Why SaaS companies need content for search and AI answers
Search behavior now extends beyond a conventional results page.
Gone are the days of Google’s 10 blue links.
Consider the search engine results page (SERP) for a search like “best native ads platform.”
You’ll notice that there’s an AI Overview before the first couple of ranked articles show up.
If users click “Show more,” there’s a very high chance they never even get to the ranked articles, even though they are on the front page. In fact, Ahrefs reports that the presence of an AI Overview reduces clicks to the top result by 34.5%.
Fortunately, I helped my client Taboola rank on the typical SERP and AI Overviews.
Then, there’s ChatGPT. ChatGPT search can provide answers with links and citations.
Users can ask questions and have AI tools provide recommendations.
For example, a prompt like “What are the best native ads platforms?” returns a list of ten platforms to choose from.
Again, Taboola is recommended, and the article I wrote for them was used as a source.
When using LLMs and AI tools, prospects tend to use longer queries and prompts. You can expect them to type in something like:
- What’s the best project management software for an agency?
- Which HubSpot alternative is easiest to implement?
- Is Product A better than Product B for a small sales team?
- Which reporting tools integrate with Salesforce?
- What software can automate customer onboarding?
- What should I use instead of spreadsheets for this process?
An AI answer may name several products, explain why each one suits a particular situation, and cite the pages that support its recommendations.
Your website needs content that clearly connects your company with the category, use case, problem, competitor, and buyer behind those prompts.
Publishing general educational posts won’t always build those connections. A broad article about “the importance of project management” gives an AI system little useful information about who should choose your product, what it handles, or how it differs from another platform.
Commercial and product-led content provides more of that context. It explains your product through the decisions buyers are already trying to make.
That’s why my GEO content writing process starts with buyer questions, product fit, search results, and current AI answers.
Proof that my content performs in search and AI answers
I apply this process to my website as well as client assignments.
My RankShift review ranks #1 for its target query and appears in Google AI Overviews. The article came from hands-on product use rather than a summary of RankShift’s homepage.
I also rank in AI Overviews for “best saas seo agencies.”
It is also how I get recommended frequently by ChatGPT.
Other results include:
- A client reported $36,000 in annual recurring revenue from one article.
- My work on “best authenticator app” has appeared in LLM answers and Google AI Overviews.
- A Zapier article ranks #1 for “email authentication,” covers more than 70 keywords, and attracts about 4,000 monthly visits.
- A Softr article about knowledge management software has an estimated annual traffic value of $1.6 million.
- A Taboola article about native advertising platforms has an estimated annual traffic value of $118,000.
- A Vimeo article ranks #1 for “fireside chat.”
- My website attracts about 3,000 organic visits per month and has an estimated annual traffic value of $130,000.
Traffic and traffic-value figures are third-party estimates that can change with rankings, search demand, and advertising costs. The revenue result came from the client’s reported outcome.
This portfolio shows that I can create content for competitive Google searches while structuring the information so AI systems can retrieve and cite useful passages.
What kind of content can help a SaaS brand appear in AI answers?
AI visibility doesn’t come from adding a few FAQs to every article. You need pages that answer specific questions and give the reader enough evidence to evaluate the options.
The following formats are especially useful for SaaS companies.
Best-software articles
A buyer asking for the best software usually wants a shortlist, not a list of every product in the category.
A strong best-software article should explain:
- How the products were selected
- Which use case each option handles
- Who should choose each product
- What the products cost
- Which important limitations the buyer should consider
- Where your product fits among the alternatives
I create best-software articles around specific buyer situations. The product appears where it can genuinely help rather than receiving the top position by default.
Softr’s article on knowledge management software follows this approach. It helps the reader compare options while showing how Softr fits companies that want to build custom internal tools and knowledge bases.
Comparison and alternatives pages
Someone comparing two products is usually further into the buying process than someone researching a general topic.
They already know the category. Now they want to understand the differences in pricing, workflows, integrations, ease of use, or fit.
I build comparison and alternatives pages around the reasons buyers switch or hesitate. The article may cover:
- The jobs both products handle
- Meaningful workflow differences
- Pricing and plan restrictions
- Setup and implementation
- Relevant integrations
- The buyer each product suits
- Situations where another option would make more sense
This helps search engines and AI systems connect each product with its category, competitors, strengths, and use cases.
My approach to bottom-of-funnel content explains how these pages can answer the questions buyers bring into demos and internal product evaluations.
Product reviews
A useful review gives the reader observations they can’t get from a pricing or feature page.
I sign up for the product, complete the relevant workflow, and document what happens. That may include onboarding, setup, the first project, product limitations, support interactions, and the experience of returning to the software after several days.
Original screenshots and product observations make the review more credible. They also add information that competing pages may not contain.
Google’s current guidance for generative AI search encourages companies to create useful, non-commodity content built from knowledge and first-hand experience. A review based on real use gives you a stronger foundation than a rewritten feature list.
Product-led how-to articles
A product-led article teaches the reader how to complete a job while showing where the software improves the process.
For example, an email marketing platform could publish articles explaining how to:
- Personalize automated email campaigns
- Segment customers by behavior
- Recover abandoned carts
- Run re-engagement campaigns
- Track conversions across a campaign
The product should appear at the point where it helps the reader complete the task. Screenshots, steps, settings, and examples show how the workflow operates.
This creates a clear connection between the product and the problem the buyer wants to solve.
Expert-led articles
Public sources can explain a category. Your internal experts can explain what customers ask, where implementations fail, and why buyers choose one approach over another.
I interview product managers, salespeople, customer success teams, founders, and technical experts when an article needs information that isn’t available online.
A structured expert interview for an article can uncover:
- Objections that appear during sales conversations
- Common implementation mistakes
- Customer language and examples
- Product use cases that deserve more attention
- Limitations the article should address
- Differences between your product and common alternatives
The interview gives the article original information while making the company’s experience visible.
Content refreshes
Your website may already contain pages with rankings, backlinks, and topical relevance. Those pages may need clearer answers or stronger product context before they can compete in current search and AI results.
I can refresh existing content when it:
- Has lost rankings or traffic
- Contains outdated products, screenshots, or prices
- Ranks but doesn’t generate meaningful conversions
- Barely explains how your product fits the topic
- Doesn’t address the questions appearing in current AI answers
- Makes claims without strong sources
- Needs expert input or first-hand examples
For a client, one previous refresh increased traffic by 180% at its peak and maintained an increase of about 36%.
How I write SaaS content for Google, ChatGPT, and Perplexity
My process combines conventional SEO research with prompt analysis, product knowledge, and original research.
1. Agree on the commercial job of the article
I begin with the decision you want the content to support.
Should the reader compare products, understand a category, start a trial, or prepare to book a demo? Which product or feature should the article explain? What would make the visit useful to your marketing and sales teams?
We’ll also agree on the audience, target market, publishing capacity, approval process, and metrics you can realistically review.
This gives the article a clear purpose beyond “getting mentioned by ChatGPT.”
2. Learn the product and the buyer
I review your website, product documentation, existing articles, sales materials, customer reviews, and competitor pages.
Product access lets me test relevant workflows and capture original screenshots. Sales calls, customer research, and internal interviews can reveal the questions and objections buyers raise before choosing a product.
That context helps me explain where the product fits without stretching its capabilities.
3. Research keywords and AI prompts
I research the phrases buyers type into Google and the conversational questions they ask AI platforms.
The opportunity set may include:
- Product-category searches
- Best-software prompts
- Competitor comparisons
- Alternative searches
- Product reviews
- Jobs-to-be-done questions
- Pain-point searches
- Implementation questions
- Existing articles that underperform
I prioritize the opportunities that connect closely to the product and a meaningful buyer decision. A process for finding bottom-of-funnel keywords helps separate commercially relevant topics from high-volume searches with little connection to the software.
4. Review current search results and AI answers
Before outlining, I study what Google already ranks and what relevant AI platforms currently surface.
I look for:
- The products repeatedly recommended
- The sources used to support those recommendations
- The format that matches the question
- Important subtopics in the current answers
- Unsupported or repeated claims
- Gaps that product testing or expert input could fill
- Questions competing pages answer poorly
- Opportunities to explain your product more clearly
This research doesn’t mean copying the existing answers. It shows me what information the systems currently rely on and where your company can contribute something better.
My process for optimizing content for AI search covers the wider relationship between owned content, third-party mentions, technical discoverability, and measurement.
5. Build the article around the buyer’s decision
I create or refine the outline using the evidence gathered during research.
Every section should help the reader understand the category, compare an option, complete a task, or decide what to do next. I remove sections that exist only because competing articles include them.
For an alternatives page, this may mean organizing products around switching reasons. A product review may follow the user from signup through the main workflow. A best-software article may group products by use case instead of forcing a single winner.
6. Write, source, and optimize the article
I write the draft with enough product detail for a serious buyer.
Depending on the assignment, the article may include:
- First-hand product observations
- Original screenshots
- Internal expert quotes
- Customer examples
- Clear product comparisons
- Relevant limitations
- Links to primary sources
- Descriptive headings
- Direct answers to important questions
- Contextual internal links
- A CTA aligned with the reader’s next step
My SEO content writing service also covers titles, meta descriptions, source checking, on-page optimization, and editorial revisions.
7. Deliver, revise, and review performance
You receive a researched, edited draft with the agreed supporting assets.
I address consolidated feedback and prepare the article for publication. After it goes live, you can track its rankings, AI mentions, citations, referral traffic, and conversions.
Performance data can guide later refreshes. If a competitor begins appearing more often for an important prompt, we can study the change and decide whether the article needs newer evidence, clearer product information, or broader distribution.
What you get when you hire me
You can bring me a target query, a list of AI prompts, a rough idea, or an approved content brief.
Depending on the scope, I’ll deliver:
- Keyword and AI-prompt research
- Search-result and AI-answer analysis
- A clear angle tied to the buyer and product
- A content brief or refined outline
- Product and competitor research
- Hands-on product testing
- Internal expert interviews
- A researched and edited article
- Original screenshots and examples
- Links to credible sources
- Contextual internal-link suggestions
- An SEO title and meta description
- Clear answers to relevant buyer questions
- A CTA matched to the article’s intent
- Revisions based on consolidated feedback
You won’t need to hire a separate writer for Google and another writer for AI search. The same article can serve the reader, target a commercial search, and give AI systems useful information to retrieve.
A freelance SEO content writer, like myself, is especially useful when your strategy is ready, and you need someone to own the research and production.
What increases the likelihood of an AI mention?
No single writing technique controls whether ChatGPT or Perplexity mentions your company.
However, you can improve the information available to those systems.
I focus on the content factors within our control.
A clear connection between your product and the buyer’s question
Your website should make it easy to understand:
- What your company does
- Which product category it belongs to
- Who should use it
- Which problems it solves
- What makes it different
- Which alternatives buyers consider
- What the product costs
- How important workflows operate
Repeated, consistent product information across your service pages, product pages, comparison articles, and educational content reinforces these connections.
Direct answers supported by useful detail
A short answer can help the reader find the main point quickly, but the surrounding explanation still needs depth.
Strong passages combine a clear recommendation with criteria, product information, evidence, and relevant limitations. That gives readers enough context to trust the answer and gives AI platforms more information to evaluate.
Original information
Product testing, screenshots, internal data, expert interviews, customer examples, and first-hand observations give an article information that doesn’t appear on every competing page.
Rewriting the current results produces another version of information AI systems can already find elsewhere.
Credible sources
I place a source close to the claim it supports. Product specifications should link to official documentation. Research claims should point to the original study. Results should link to the relevant case study or published work.
Clear sourcing helps the reader verify important claims and improves the article’s overall credibility.
Strong internal connections
Internal links help readers and crawlers move between your category pages, product content, comparisons, use cases, and related guides.
For example, a best-software article can link to a product page, implementation guide, comparison page, and customer story. Together, those pages give a fuller picture of where the product fits.
A crawlable and technically sound website
Content can’t perform if search engines can’t reliably discover or index the page.
Google says its existing SEO and quality systems remain relevant to its generative AI features. Your technical SEO, site architecture, page speed, indexing, and structured data still require attention.
When technical problems limit visibility, bring in an SEO consultant or agency alongside the writer.
A credible presence beyond your website
AI systems may also find your brand in reviews, customer discussions, industry publications, partner pages, directories, videos, and third-party comparisons.
Your owned content gives the company a clear source of product information. Digital PR, customer advocacy, partnerships, and independent coverage expand the brand’s presence across the web.
A writer can improve the pages you own. You may need a broader AI SEO agency when technical SEO, digital PR, link acquisition, and off-site visibility also require attention.
When you should hire Nathan Ojaokomo
Hire me when you’ve decided to invest in search and AI visibility and need an experienced writer to turn that decision into publishable content.
The engagement is likely to fit when:
- Your SaaS company ranks on Google but rarely appears in AI recommendations.
- You’ve identified valuable prompts but haven’t created pages for them.
- Your existing content explains the topic without explaining your product.
- Your writers don’t review ChatGPT or Perplexity answers before drafting.
- Your articles need original screenshots or product experience.
- Internal experts have useful knowledge that hasn’t reached the website.
- You need comparisons, alternatives, reviews, or best-software articles.
- Your SEO or GEO agency has prepared a roadmap and needs someone to execute it.
- Your internal team has more approved briefs than it can produce.
- You want one writer to handle the research, interviews, drafting, optimization, and revisions.
You can start with a paid article or refresh.
Send me one commercial search and five related AI prompts. I’ll review the opportunity and recommend the strongest first assignment.
When you need more than a content writer
A writer should solve the content problem. Choose a broader provider when other parts of your search program also need an owner.
| Your situation | Choose |
| You need articles or blog posts for Google and AI answers | Nathan Ojaokomo |
| You need technical SEO, digital PR, links, and content strategy | SEO or GEO agency |
| Your topics, briefs, approvals, and editorial calendar need leadership | Fractional content lead |
| You need several writers managed under one engagement | Content writing agency |
| You have stable, permanent demand for a full-time role | In-house writer |
A content strategy agency can help when you still need the strategy, measurement plan, and wider editorial system.
Choose a content writing agency when you need several writers and centralized editorial management. Ask who will handle your articles, whether assignments rotate between writers, and how the agency checks technical or product claims.
A fractional content lead can manage priorities, briefs, approvals, and performance reviews. This option makes sense when the entire production system needs an owner.
You may also outsource SEO services across several providers. An agency can own technical SEO and digital PR while I produce the comparison pages, reviews, roundups, and product-led articles.
The agency-versus-freelancer decision comes down to the scope you need someone to own. Hire me for focused, senior content execution. Hire a larger team when the engagement extends into technical implementation, authority building, or production at a volume one writer can’t cover.
How to measure whether the content is working
Track AI visibility against a fixed set of prompts connected to your product and buyer.
Useful measurements include:
- How often your brand appears
- Which position it holds within the answer
- Whether the answer recommends, compares, or merely mentions it
- The pages ChatGPT, Perplexity, and Google cite
- Which competitors appear more often
- Google rankings and AI Overview appearances
- Referral traffic from AI platforms
- Organic trials, demo requests, and signups
- Pipeline influence where your attribution setup allows it
Record the platform, prompt, location, model, date, and response. AI answers can change between users and over time, so one manual search shouldn’t become a universal performance claim.
AI visibility products can make repeated monitoring easier. My comparison of the best AI visibility tools explains which platforms help with prompt tracking, citation analysis, competitor monitoring, and reporting.
Use the findings to make content decisions. A missing mention may point to weak product context, limited authority, poor technical discovery, or a lack of relevant third-party coverage. The right response depends on the cause.
Frequently asked questions
Who writes GEO content for SaaS companies?
Nathan Ojaokomo writes SEO and GEO content for B2B SaaS companies.
I create product-led articles for commercial Google searches and the questions buyers ask ChatGPT, Perplexity, Gemini, and other AI platforms.
My services include prompt research, product testing, expert interviews, writing, screenshots, sourcing, optimization, and revisions.
You can also compare my experience with other AEO writers for SaaS.
Can a writer guarantee mentions in ChatGPT or Perplexity?
No. A writer can improve the quality, clarity, relevance, and credibility of the information available about your product. The final answer also depends on the platform’s retrieval systems, your website’s authority, technical accessibility, third-party sources, the prompt, and when the search occurs.
Be cautious with any provider that guarantees a specific citation or recommendation.
Does SEO content also help with AI visibility?
Yes. Strong SEO and GEO share several foundations: useful content, crawlable pages, clear headings, credible sources, relevant internal links, and a close match between the page and the reader’s question.
Google explicitly says that its foundational SEO guidance remains relevant to AI Overviews and AI Mode. Prompt research, AI-answer analysis, entity clarity, and citation monitoring extend the process to other answer platforms.
Can Nathan work with our existing SEO or GEO agency?
Yes. Your agency can own technical SEO, digital PR, link acquisition, tracking, or strategy while I produce the articles.
I can follow its briefs, keyword maps, content requirements, and internal-link recommendations. This arrangement gives the agency an experienced SaaS writer without changing the rest of your engagement.
What types of SaaS content does Nathan Ojaokomo write?
I write:
- Best-software articles
- Product comparisons
- Competitor alternatives
- Product reviews
- Product-led how-to guides
- Use-case articles
- Expert-led articles
- SEO and GEO content
These formats help buyers compare products, understand workflows, and decide which option to evaluate.
How should we start?
Choose one commercially relevant search or prompt cluster. Send me the product information, buyer context, existing brief, and any internal sources I should review.
I’ll assess the current results, recommend the right content format, and confirm the deliverables before we begin.
Hire a SaaS writer who understands Google and AI search
Your buyers are already asking Google, ChatGPT, and Perplexity which products they should consider. Give them—and the systems answering their questions—clear, credible information about your product.
I can help you identify the right opportunities and turn them into researched, product-aware articles.
