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B2B SEO

A B2B SEO Agency for Software With Long Sales Cycles

Venture-backed B2B software and AI companies come to us when competitors own the commercial searches and the AI shortlists. As a B2B SEO agency, we win those category, versus and alternatives queries and trace them to opportunities in your CRM. Wisemonk's citations across AI answer engines rose 414%.

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Measured against a fixed baseline on every engagement.

  • Viggle AI
  • HeyOz
  • Wisemonk
  • Monk
  • Zivoke
  • TryScent

Where B2B search loses deals before sales hears about them

B2B buyers do most of their research before they fill in a form, and several people on the buying committee do it separately. One searches Google or Bing, another asks an AI engine for vendors, a third reads a comparison page. If you're missing from those moments, the shortlist forms without you.

Competitors own every commercial keyword we want

They rank for the category, the best-of lists and even your brand name plus alternatives. Your reps meet buyers who already have a shortlist.

The AI shortlist leaves us off

Someone on the committee asks an answer engine for vendors in your space. It names three rivals, and the deal is gone before anyone books a demo.

Organic never shows up in the pipeline report

Deals take months and touch many pages. Judged on last-click form fills, search looks weak next to paid and outbound, even when it starts the deal.

What a B2B SEO agency should build for a buying committee

Every person on the committee asks a different question, and each one needs a page that answers it. We build for the late-stage searches first, where a shortlist gets decided, and wire attribution so a deal closed months later still credits the page that started it.

01

Category pages that define the space

A plain explanation of your category and where you fit, so search engines and AI answers have your definition to quote.

02

Versus and alternatives pages for each rival

One page per serious competitor, accurate on facts and clear on where you win, built for buyers deep in evaluation.

03

Answers for every committee member

Security, compliance, implementation and ROI explainers, so the finance lead and the IT reviewer find what they need too.

04

Coverage on sources B2B buyers trust

Review profiles, industry publications, vendor roundups and practitioner communities that AI answers cite for B2B shortlists.

05

Attribution that survives a long cycle

First-touch organic and AI referral data passed into your CRM with each lead, so opportunities credit the page that started them.

06

Commercial rankings on Google and Bing

AI answers that search the web pick sources from search results, and ChatGPT search and Copilot draw on Bing's index, so both stay in the plan.

Covered on every engine your buyers use

  • ChatGPT
  • Perplexity
  • Claude
  • Gemini
  • Google AI Overviews
  • Google AI Mode
  • Copilot

ChatGPT search and Copilot draw on Bing's index, so Bing rankings feed AI answers. We work on search and AI engines as one program.

How it works

The same four steps on every engagement, with a clear view of what to expect at 30, 60 and 90 days.

  1. 01

    Understand

    Map your product, buyers, competitors and the prompts and searches that decide your category.

    Days 1 to 30. A fixed baseline across every engine and the prompts that matter.

  2. 02

    Prioritize

    Pick the few moves that will get you recommended fastest and turn them into a focused roadmap.

    Days 1 to 30. A focused roadmap agreed, with the first fixes already shipping.

  3. 03

    Execute

    Do the technical, content, authority and AI visibility work ourselves.

    Days 30 to 60. Content, technical and authority work shipping every week.

  4. 04

    Improve

    Track citations, rankings and conversions against the baseline and keep refining.

    Days 60 to 90. A first read against the baseline, then the next quarter planned.

Who this is for, and who it is not for

A good fit

Venture-backed B2B software and AI companies, seed to Series B, selling through demos or sales-assisted trials

  • B2B SaaS with a sales-led motion
  • AI tools sold to one business function
  • Vertical software for a specific industry
  • B2B service platforms with a productised offer

Not a fit yet

  • Companies selling only through channel partners
  • Teams that want a guaranteed lead count each month
  • Consumer apps with no business buyer

How B2B teams weigh their search options

SearchAxe Enterprise SEO agency B2B demand-gen agency Paid search only
Wins commercial and comparison queries The core of the plan Yes, at enterprise scale Content is a side service Rents the position per click
Appears in AI shortlists Tracked and worked on each engine Sometimes, as an add-on Rarely in scope Not covered
Stage fit Seed to Series B Built for large companies Series B and later Any stage
Pipeline attribution Organic and AI first touch in your CRM Varies by agency Campaign-level reports Strong last-click data
After spend stops Pages keep ranking and getting cited Depends on what was built Content stays, programs end Traffic stops the same day

What you get each month

  • Baseline report Where you stand on every engine and in search before any work starts.
  • Monthly AI citation and ranking report Citations by engine, rankings and referring domains, read against the baseline.
  • Signups and demos attributed The pipeline that search and AI answers drove that month.
  • Slack access A shared channel with the people doing the work.
  • Rolling roadmap What shipped, what is next and why, updated every month.
  • Competitor movement Which competitors gained or lost ground in AI answers and search, and why.

How we get started

From first call to work in progress in three steps.

  1. 01

    Book a free consultation

    A call about your product, your market and where you stand in AI answers and search today.

  2. 02

    Get a plan and a quote

    We send a plan for what we would do first, with a clear quote for the work.

  3. 03

    Work starts right away

    Once the plan and quote are approved, the work starts immediately.

What clients say

We had thousands of pages going nowhere. Amit cleaned that up and rebuilt our landing pages. Our top three rankings are up 362% and our citations across AI engines have grown more than a hundred times.

Nan Ha Nan Ha Product Growth Lead, Viggle AI Read the Viggle AI case study

We came to Amit with a good product and almost no search presence. He gave our team a plan we could actually follow. Referring domains are up 183% and our first page rankings have more than tripled.

George Kurdin George Kurdin Co-Founder, Monk Read the Monk case study

Our content was getting published but not landing anywhere. Amit reworked how we format it for AI engines and our citations across all seven engines are up over 400%. The Reddit community he built now brings us leads weekly.

Aditya Nagpal Aditya Nagpal Founder, Wisemonk Read the Wisemonk case study

We launched with a homepage and nothing else. Amit built the search foundation, the landing pages, the blog, the schema. Our domain rating is up 70% and we went from zero AI citations to being quoted by six of the seven AI engines.

Ahad Shams Ahad Shams Founder, HeyOz Read the HeyOz case study

We had multiple pages fighting each other for the same terms. Amit mapped it all out, consolidated what needed consolidating, and rebuilt our service pages. Organic traffic is up 147% and our top three rankings have more than doubled.

Manjunath Thandu Manjunath Thandu CEO, Zivoke Read the Zivoke case study

Who's behind SearchAxe

Amit Malvi spent four and a half years at Invideo AI, rising from SEO Executive to Senior SEO Manager. He built and led a 20-person link building team and owned the company's GEO and AEO programs. Today he works hands-on with a small number of AI startups.

Questions buyers ask us

How do you attribute pipeline from search in a long sales cycle?

We capture the first organic or AI-referred landing page in a hidden form field or your analytics, pass it into the CRM with the lead, and report opportunities by first touch alongside last touch. Some AI answers send visits with no referrer, so we also watch branded search and direct demo requests that rise as citations grow.

Which pages win B2B commercial keywords?

Pages that match a buyer near a decision. That means category pages, versus pages against named competitors, alternatives pages and solution pages by industry or team. We prioritise by commercial intent and by which competitor pages AI answers already quote, because those are the searches where a shortlist takes shape.

Should we publish pages comparing ourselves to competitors?

Yes, if they're fair. Buyers search for those comparisons whether you write them or not, and answer engines quote whichever page states the differences clearly. We keep competitor facts accurate and sourced, say where a rival fits better, and make your case on the points that decide deals. Pages that misrepresent rivals lose trust with buyers and engines alike.

How long before B2B SEO shows up in pipeline?

Longer than for self-serve products, because your sales cycle sits on top of the ranking timeline. Pages usually take months to rank, and deals that start on them close months after that. We set a baseline in the first 30 days, read leading signals such as rankings, citations and demo requests at day 90, and expect pipeline evidence to follow.

Do AI answers really matter in B2B buying?

They shape the shortlist. A buyer who asks an answer engine for vendors in your category gets a few names and a reason for each. If you're absent or described wrongly, the demo request may never come. We test those shortlist prompts on every engine and work on the sources each one cites. Wisemonk's citations rose 414% from that work.

Do you work with B2B companies that sell a service, not only software?

Yes, when the buyer is a business and research happens online. Wisemonk's platform sells employer of record services, a considered purchase buyers research hard, and the same approach applied. One category-defining page was rebuilt for buyers and engines, and the brand built presence in the community threads where buyers compared providers. Productised services and vertical platforms fit well.

Can the pages help our sales team too?

Yes. Versus pages, security and implementation explainers and category pages double as material reps send during deals. We ask sales which objections stall deals and which rivals come up most, then build those pages first. That feedback also shows which searches matter even when the volume looks small.

Will you work with our paid and demand-gen teams?

We'd want to. Paid search data shows which commercial terms convert, which helps us choose organic targets. In return, pages that rank well organically can reduce what you need to bid on. We share keyword and page plans so the two channels don't send the same search to competing landing pages.

Let's get your product recommended.

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