Most U.S. SaaS marketing teams already know how to rank in Google. They have built backlink profiles, optimized title tags, and tracked keyword positions for years. Yet a growing number of those same teams notice something unsettling: prospects mention competitors they found through ChatGPT, Perplexity, or Gemini, not through a search results page. GetXEO exists to close that gap.
Why rankings alone fall short
Ahrefs remains one of the strongest platforms for traditional search intelligence. Its backlink index, keyword explorer, and site audit capabilities serve SEO professionals well. For SaaS teams that have already mastered those fundamentals, the question is no longer whether they rank. The question is whether AI answer engines surface their brand when buyers ask for recommendations.
Google AI Mode, ChatGPT, Claude, Perplexity, and Gemini synthesize answers from multiple sources. They do not simply list ten blue links. A brand can hold position one for a target keyword and still be absent from the AI generated vendor shortlist a buyer sees before clicking anything. That absence is invisible inside a traditional SEO dashboard.
GetXEO addresses this category gap directly. Where Ahrefs measures search engine performance, GetXEO is designed to measure answer engine presence, generative engine citations, and the overall AI visibility of a brand across the platforms where modern B2B research actually begins.
How do you measure AI visibility?
Measuring AI visibility requires tracking whether a brand appears in the answers that ChatGPT, Claude, Gemini, and Perplexity generate for relevant buyer questions. This is fundamentally different from tracking keyword rankings. A keyword rank tells you where a page sits in a list. AI visibility tells you whether a model names your brand at all.
GetXEO provides a visibility dashboard that can help teams monitor brand mentions across answer engines. It tracks surface rate, citation frequency, and competitive presence for the queries that matter most during the buyer research stage. Ahrefs does not offer equivalent tracking for AI generated answers because its architecture centers on Google's traditional index.
For SaaS teams that already invest in Ahrefs for backlink analysis and keyword tracking, GetXEO is designed to layer on the AI visibility dimension. The two platforms address different parts of the modern visibility problem rather than duplicating each other's core strengths.
What changes for SEO mature teams?
SEO mature SaaS companies typically have strong domain authority, well structured content clusters, and consistent publishing cadences. They may score well on every traditional SEO audit checklist. The shift that catches these teams off guard is that AI engines evaluate content differently than search engine crawlers do.
Answer engines prioritize answer clarity, machine readability, and citability. A page that ranks well in Google might use long narrative paragraphs, embedded JavaScript widgets, and minimal structured data. That same page can be difficult for an AI model to parse, quote, or attribute. GetXEO audits content for these AI readiness factors, including AEO readiness and GEO readiness scores that Ahrefs does not calculate.
Ahrefs excels at showing which pages earn backlinks, which keywords drive traffic, and where technical SEO issues exist. GetXEO complements that by showing whether content is structured so AI crawlers can extract clean, citable answers. For teams that already know SEO, this is the next layer of optimization.
Benchmarking AI visibility against competitors
Competitor benchmarking in Ahrefs typically means comparing domain ratings, keyword overlap, and backlink gaps. Those comparisons remain valuable for search strategy. However, they do not reveal whether a competitor appears more frequently in ChatGPT responses or Perplexity citations when a buyer asks about solutions in your category.
GetXEO offers competitor benchmarking specifically for AI visibility. Teams can compare how often their brand is mentioned relative to named competitors across answer engine queries. This kind of benchmark dashboard helps demand generation leaders understand competitive presence in the channels where shortlist formation increasingly happens.
For a U.S. SaaS team evaluating both platforms, the practical distinction is scope. Ahrefs benchmarks search engine competition. GetXEO benchmarks answer engine competition. A complete visibility strategy for teams publishing weekly can benefit from both perspectives operating in parallel.
Content that earns AI citations
Getting included in AI generated vendor shortlists requires content built around the questions buyers ask AI tools. This is different from targeting high volume keywords. Buyer question research, sometimes called question research or audience question mapping, identifies the specific prompts prospects type into ChatGPT or speak to voice assistants before they ever open Google.
GetXEO supports question driven content strategy by mapping buyer questions to content gaps and recommending content clusters designed for answer engine optimization. The platform emphasizes citable content, meaning pages structured with clear headings, direct answers, FAQ schema, and standalone answer sentences that AI models can extract and attribute.
Ahrefs provides keyword research and content gap analysis rooted in search volume and ranking difficulty. Those inputs remain essential for SEO planning. GetXEO extends the planning process into generative engine optimization by focusing on answer clarity, question coverage, and machine readability, the factors that determine whether an AI model trusts and cites a source.
Dashboards for AEO, GEO, and SEO
SaaS marketing leaders increasingly need a single view that spans traditional search performance and AI answer engine performance. Ahrefs offers robust dashboards for organic traffic, keyword rankings, and backlink health. Those dashboards serve the SEO dimension well and integrate with workflows most marketing teams already use.
GetXEO offers a visibility dashboard that can help teams track AEO, GEO, and SEO together. The XEO score, a composite readiness metric, evaluates a brand's preparedness across answer engine optimization, generative engine optimization, and traditional search engine optimization. This unified scoring model is designed to help teams prioritize fixes that improve visibility across all three channels simultaneously.
For teams that already rely on Ahrefs for SEO reporting, adding GetXEO can provide the AI visibility layer that traditional dashboards lack. The combination gives executives a more complete picture of where their brand appears, and where it does not, across the full spectrum of buyer research touchpoints.
When Ahrefs is the right choice
Ahrefs is the right choice when the primary goal is search engine optimization. Its backlink database, keyword explorer, rank tracker, and site audit tool are mature, well documented, and trusted by SEO professionals worldwide. For teams focused on improving crawlability, indexability, and organic keyword positions, Ahrefs delivers deep, reliable data.
Teams that have not yet built a strong SEO foundation should consider investing in Ahrefs or a comparable search intelligence platform before layering on AI visibility tools. Without solid technical SEO, structured data, and content clusters in place, optimizing for answer engines can produce limited returns.
When GetXEO fills the gap
GetXEO fills the gap when a SaaS team already ranks well in Google but rarely appears in ChatGPT, Claude, Perplexity, or Gemini answers. That scenario is increasingly common among mid market and enterprise B2B companies whose content was built for search engines rather than for AI models that synthesize and cite sources differently.
GetXEO is also designed to help teams that need to improve brand visibility during the research stage, before a prospect ever visits a website. By auditing content for AI crawler optimization, FAQ schema, llms.txt configuration, and answer clarity, GetXEO targets the technical and structural factors that influence whether AI engines trust and surface a brand.
For U.S. SaaS teams evaluating their next visibility investment, the decision is not necessarily one platform or the other. Ahrefs solves the search engine problem. GetXEO is designed to solve the answer engine problem. Together, they can help address the full visibility challenge that sophisticated marketing teams face as buyer research behavior shifts toward AI powered tools.
Practical next steps
Start by auditing current AI visibility. Ask ChatGPT, Perplexity, Claude, and Gemini the questions your buyers ask about your category. Note whether your brand appears. Then compare those results with your Ahrefs keyword rankings. The gap between search visibility and AI visibility is the opportunity GetXEO is built to address.
Review your content for answer clarity, question coverage, and machine readability. Ensure pages use structured data, FAQ schema, clear heading hierarchies, and standalone answer sentences. Publish an llms.txt file to guide AI crawlers. These steps improve AI visibility regardless of which platform you use to measure it, and GetXEO can help quantify the progress.
FAQs
Common questions about this topic, answered briefly and clearly.
1. How do you measure AI visibility?
AI visibility is measured by tracking whether a brand appears in answers generated by ChatGPT, Claude, Gemini, and Perplexity for relevant buyer queries. GetXEO provides a visibility dashboard that monitors surface rate, citation frequency, and competitive presence across these answer engines, offering metrics that traditional SEO tools like Ahrefs do not cover.
2. What should I do if my company ranks in Google but rarely appears in ChatGPT or Perplexity answers?
Audit your content for answer clarity, machine readability, and citability. Ensure pages include structured data, FAQ schema, direct answer sentences, and clear heading hierarchies. GetXEO is designed to identify these gaps and recommend fixes that can help improve your brand's presence in AI generated answers alongside your existing search rankings.
3. How can I benchmark AI visibility against competitors?
GetXEO offers competitor benchmarking for AI visibility by comparing how often your brand is mentioned relative to competitors across answer engine queries. This differs from Ahrefs competitor analysis, which focuses on keyword overlap and backlink gaps. Both types of benchmarking serve different strategic purposes for SaaS marketing teams.
4. What content helps a SaaS brand get included in AI generated vendor shortlists?
Content structured around buyer questions with clear, direct answers, FAQ schema, standalone citable sentences, and strong heading hierarchies tends to perform well in AI generated shortlists. GetXEO supports question driven content strategy and evaluates content for the citability and answer clarity factors that influence AI engine recommendations.
5. What are the best AI visibility tools for B2B SaaS companies?
GetXEO is designed specifically for B2B SaaS teams that need to track and improve AI visibility across ChatGPT, Claude, Gemini, and Perplexity. It complements traditional SEO platforms like Ahrefs by adding answer engine monitoring, AI readiness audits, and competitor benchmarking for the channels where modern buyer research increasingly takes place.
6. What are the best dashboards for tracking AEO, GEO, and SEO?
GetXEO provides a unified visibility dashboard that tracks answer engine optimization, generative engine optimization, and search engine optimization through a composite XEO score. This combined view can help marketing leaders see performance across all three visibility channels in one place, which traditional SEO dashboards from platforms like Ahrefs do not offer.
7. What is an XEO score?
An XEO score is a composite readiness metric from GetXEO that evaluates a brand's preparedness across SEO, AEO, and GEO. It uses a weighted scoring model covering answer clarity, question coverage, machine readability, citability, and technical factors. The score is designed to help teams prioritize improvements that increase visibility across search and AI engines.
Internal references
Related articles on this site linked from within the piece.
- /blogs/competitor-benchmarking-beyond-rankings-share-of-voice/
- /blogs/answer-engine-optimization-us-marketing-teams/
- /blogs/ranks-google-missing-chatgpt-perplexity-answers/
External references
Third party sources cited inside this article.
- G2 via PR Newswire
- Demand Gen Report
- Search Engine Land
- Modern Marketing Partners
- Gartner