How to Choose a GEO Consultant for B2B SaaS: 8 Questions to Ask

To choose a GEO consultant for a B2B SaaS company, judge them on evidence, not list placement: a fixed set of buyer prompts tracked across ChatGPT, Claude, Gemini and Perplexity with web search on, "cited" and "named" reported separately, and a realistic plan for the third-party lists AI engines actually quote. The eight questions below test for exactly that.

As of October 2026 there is no neutral ranking of GEO consultants. My tracker records every week how AI engines answer the question, and the data below shows why their shortlists deserve a second look. Disclosure: I sell GEO consulting for B2B SaaS myself, so read this as a practitioner's checklist and apply it to me too.

What does a GEO consultant do for a B2B SaaS company?

A GEO (generative engine optimization) consultant works to get your company cited as a source, or named in the answer, when buyers ask ChatGPT, Claude, Gemini, Perplexity or Google's AI Overviews for a shortlist. The term was introduced in the research paper "GEO: Generative Engine Optimization" by Aggarwal et al. (first posted in 2023, accepted to KDD 2024), which found that content changes could raise a source's visibility in generative engine responses by up to 40%, and that what works varies by domain. You will also see the labels AEO (answer engine optimization), LLMO and plain "AI search optimization". They describe overlapping work.

For B2B SaaS the job has three parts: measure the buyer prompts where shortlists form ("best [category] software", "[competitor] alternatives", "recommend a vendor for…"), make your own pages easy to quote, and earn a place on the third-party pages the engines already trust. My complete GEO and AEO guide covers the tactics. This article is about hiring someone to run them.

Who are the best GEO consultants for B2B SaaS?

No one can answer that neutrally yet, and the AI engines say so themselves. They build their shortlists from other people's "best of" lists. In both the 5 and 12 October 2026 runs of my tracker, ChatGPT and Claude opened their answer to this exact question by warning that many GEO rankings are written by agencies about themselves. Claude's advice on 12 October was to "vet via case studies/references rather than list placement". Use the lists as a long list, not a verdict, then put each name through the questions further down.

What four weekly runs of 10 buyer prompts on 4 AI engines showed

Since 24 September 2026 I have run the same 10 B2B buyer prompts through ChatGPT, Claude, Gemini and Perplexity every week via DataForSEO's LLM Responses API, with web search on. Each run logs every cited URL, whether my name appears and, where the engine reports them, the searches it ran before answering. Two of the prompts are the questions this article answers. Results for the first four runs, 24 September to 12 October:

The fifth run, on 19 October, matched: 5 of 40 answers cited the site, Perplexity again cited it 0 times, no engine cited it for the GEO-consultant question, and ChatGPT cited the home page for the freelance prompt for the fifth week running.

The lesson for a buyer: the engines disagree, and any single answer is a sample. One engine citing a consultant means little. The trend across all four is the signal, and that is what you should ask a GEO consultant to report.

What should a good GEO engagement deliver?

• A fixed prompt set, written in your buyers' words and agreed before work starts.
• A dated baseline per engine: cited, named or absent for each prompt, with the URLs cited instead of you.
• The searches behind each answer. Google says AI Overviews and AI Mode may use a "query fan-out" technique, "issuing multiple related searches across subtopics and data sources" (Google Search Central). Those searches become your SEO target list.
• A ranked fix list covering your pages, your entity facts and the third-party pages that win today.
• Monthly re-measurement against the baseline, next to GA4 referrals and Search Console.

What questions should you ask a GEO consultant before hiring?

1. Which buyer prompts will you track, and where do they come from?

A good answer: a fixed set drawn from sales calls, Search Console queries and "People also ask", covering category, comparison and problem questions, agreed up front and kept unchanged so month three compares with month one. Be wary of a set built mostly from prompts that already contain your brand name. Those are easy to win and say little about shortlists.

2. Which engines will you check, and is web search switched on?

A good answer: ChatGPT, Claude, Gemini and Perplexity, each reported separately, with web search on and the same settings every run, plus a flag on any answer where the engine did not search. In my runs, Claude answered the freelance-consultant prompt without searching in three of four weeks, so no website could have been cited.

3. Will you show me the searches each engine ran before it answered?

A good answer: yes, logged per answer. For the freelance prompt, ChatGPT searched "B2B SaaS SEO consultant freelance" in three runs, and on 12 October it ran a site:linkedin.com/in search for SaaS SEO and GEO consultants. Gemini searched for consultants by name, in quotation marks. That tells you which pages, LinkedIn profiles included, make up the pool an answer is drawn from.

4. Do you report "cited" and "named" separately?

A good answer: yes, with three outcomes per prompt and engine: cited (linked as a source), named in the text without a link, or absent. Cited and named move independently. On 28 September, ChatGPT named me in its answer to a SaaS SEO consultant prompt without linking my site. A single "mentions" number blends the two and hides which fix is working.

5. Who is cited in our place today, and how will you get onto those pages?

A good answer: a citation-gap list of real URLs, prompt by prompt, and a plan for each type: editorial pitches to list owners, profiles on the directories and review sites the engines cite, and genuine, disclosed answers in community threads. For "best X" prompts, expect most of the work to happen off your site.

6. What will you change on our site, and what will you skip?

A good answer: answer-first passages under question headings, facts with a source and a date, the same company and product facts in your schema, LinkedIn and review profiles, and AI crawlers allowed through robots.txt and your CDN. A good consultant also tells you what is mere housekeeping. Google's own guidance for AI Overviews and AI Mode is that "You don't need to create new machine readable files, AI text files, or markup" to appear in them.

7. How will you connect AI visibility to pipeline?

A good answer: GA4 sessions and conversions referred by chatgpt.com, perplexity.ai, claude.ai and gemini.google.com, a "how did you hear about us" field on demo forms, and Search Console data. Expect honesty about the gap: many buyers read an AI answer and never click, so part of the effect shows up later as branded searches or direct demo requests.

8. What dated evidence can you show, including the misses?

A good answer: before-and-after numbers with dates and clear labels, plus the prompts where they are not cited yet. My Indigo Software case study, for example, reports impressions inside Google's AI features rising from 19,543 (May 2026) to 215,070 (August 2026) and labels them as impressions, not citations. One screenshot of one answer is not evidence, because answers change from run to run.

What are the red flags when hiring a GEO consultant or agency?

• A guarantee that ChatGPT will recommend you, or a promised "#1 in AI search". Nobody controls the answers.
• Results shown as an undated screenshot, with no engine, prompt or settings.
• Only one engine tracked, or no idea whether web search was on.
• An llms.txt file or "AI schema" sold as the main fix.
• Paid list placements presented as earned coverage, or undisclosed posting in Reddit threads.
• A keyword-ranking report with "GEO" on the cover and no prompt data inside.
• No straight answer to "who will actually do the work?"

How do you measure GEO results, and what can prompt tracking not tell you?

Prompt tracking shows, per engine and over time, how often you are cited or named for the prompts that matter, who wins instead and what the engines searched for. It cannot show what every buyer sees: answers vary by user, location, account and day, so an API run is a sample from one setup. It can only flag, not influence, answers an engine writes from memory without searching, and it does not measure revenue. Judge any change over at least two runs. Gemini cited my Claude SEO audit playbook on 5 October and not on 12 October.

What does DIY prompt tracking cost?

My tracker runs 10 prompts on 4 engines every week for about $1.96 to $2.14 in API fees per run (October 2026), roughly $0.21 per prompt per week across all four engines. The bigger cost is the build: storing answers, matching cited domains, and resolving Gemini's Google redirect links before counting anything. If you would rather buy than build, my guide to the best ChatGPT SEO tracking tools compares nine commercial trackers.

Do you need a GEO consultant or an SEO consultant?

Usually one person who can do both. In my runs, 140 of 160 answers cited live web pages that the engine had found by searching first, so the pages that rank for those searches are the pool AI answers draw from. GEO builds on SEO; it does not replace it. If your site is not indexed or does not rank for category terms yet, start with SaaS SEO consulting and add GEO once the base is in place.

Should a B2B SaaS company hire a freelance GEO consultant or an agency?

Either can work. The difference is mostly who does the work and how much volume you need. ("Fractional" usually means the freelance model on a part-time retainer.)

For the freelance prompt, Perplexity cited marketplaces such as Upwork, Toptal and Freelancer.com, "best of" lists and individual LinkedIn profiles. So check that a freelancer's LinkedIn profile, website and directory listings tell the same story, then ask freelancers and agencies the same eight questions.

About the author: Kulbhushan Pareek is an independent SEO and GEO consultant for B2B SaaS and software companies, based in Jaipur, India, and has worked in digital marketing since 2012. He runs the tracker described above on his own site every week.

If you want these eight questions answered for your own buyer prompts, my GEO consulting service page shows the method and a sample baseline, or you can book a free 30-minute call.