i build search that produces pipeline, not a ranking report.

b2b seo makes a company findable when a buyer is still defining the problem. in B2B SaaS the buying cycle is long and the search volume is small. that changes the math completely.

consumer SEO chases volume. B2B SEO chases the four hundred people a month who type your exact problem. then it chases whether they became pipeline.

so the output is not a ranking report. a ranking report is an input. the output is sourced pipeline from organic search. the method is defined once and does not drift.

that reframing decides everything downstream. it decides which keywords get a page, which pages get links, and which pages get killed.

i have run this line before. at MacroFab I owned marketing and complete revenue operations together. that generated $200M in marketing-sourced pipeline at roughly 10:1 ROI. the team was three people. ARR moved from $24M to $53M. the reporting held 92% forecast accuracy across three years.

organic was one input into that number. it was measured like every other input. that is the only reason anyone believed it.

search is no longer one surface. a buyer asks Google. a buyer also asks ChatGPT, Perplexity, Claude, and AI Overviews.

those answer engines do not rank pages. they retrieve passages, attribute them to an entity, and cite a source. optimizing for them is a different job with an overlapping toolkit.

most SEO work ignores this entirely and most AEO work ignores technical SEO. running them as two projects doubles cost and halves the result. they share one crawl, one content set, one entity graph.

i run them as one motion. content that earns a position also has to be quotable, sourced, and machine-readable.

the practical difference shows up in structure. an answer engine wants a clean opening, a stated claim, and a source to attribute. a search engine wants that too, it is just less strict about it.

more on the mechanics: [what is aeo](/insights/what-is-answer-engine-optimization). also see [geo for b2b](/insights/generative-engine-optimization-for-b2b).

saas seo strategy is mostly a mapping problem. a finite set of queries matters. a finite number of pages can be honestly maintained.

the first move is the keyword-to-page map. every target query gets exactly one URL, and every URL knows which query it owns. two pages chasing the same term is the most common self-inflicted SEO problem in B2B SaaS.

the second move is hub and spoke. a pillar page defines the category and holds the internal link equity. spokes take one narrow question each and link back up.

that structure does two jobs at once. it tells a search engine which page is authoritative. it gives an answer engine one clean retrieval target instead of six overlapping documents.

the third move is sourced-stat content. buyers and answer engines both reward a real number, cited to a publisher, with a date. a page full of unattributed assertions gets neither links nor citations.

the fourth move is honesty about intent. a thousand searches with no intent is worth less than seventy from a real budget.

the b2b seo agency model exists because SEO output is easy to scale and hard to attribute. that combination produces a specific shape of contract.

an agency sells a retainer against deliverables. a number of articles, a number of links, a monthly report.

the deliverables are real and the reporting is honest about the deliverables. the gap is that deliverables are not the outcome.

this is not a knock on the category. a good agency writing four researched pages a month beats a company writing nothing. the structural limit is the contract. it cannot include the parts the agency does not control.

those parts: the CRM object model, conversion definitions, attribution, and page kills. all four sit inside the company.

an operator installs across that boundary. same content work. plus the measurement layer that turns a ranking into a pipeline number. plus the authority to retire a page.

the practical test is one question. when organic pipeline is flat next quarter, who diagnoses why. and do they have CRM access.

the first thirty days are diagnosis and the first shipped fixes. no strategy deck.

week one is evidence. i connect search console, analytics, the CRM, and a crawl. then I establish what organic produces in pipeline terms. that number is usually never been calculated before, which is itself the finding.

week two is the map. every ranking URL, every target query, and every overlap. this is where the consolidation and kill list comes from.

week three is technical and entity. crawl blockers, index bloat, schema gaps, markdown twins, llms.txt. these are cheap to fix and they gate everything else.

week four is the content plan and the first shipped pages. built against the map, not a brainstorm.

want the diagnosis without the install. that is the [growth diagnostic](/growth-diagnostic). same first two weeks. delivered as a ranked constraint list you can hand to anyone.

the deliverable is a system, not a dependency. that is deliberate. a search system that only works while I am there costs more than it returns.

you own the map, the technical baseline, the schema layer, and the measurement method. all of it is written down and all of it is in your own accounts.

nothing runs on my infrastructure. the analytics property, the search console, the CMS, the CRM: yours before, yours after.

the part that is hardest to hand over is judgment about which page deserves to exist. so that gets written down too, as a standard with examples rather than as a preference.

search work is priced as fixed scope. never an hourly retainer against article count.

the reason is alignment. an article-count retainer pays more for more pages. that is the wrong incentive. the right answer is often to consolidate twelve pages into three.

current scopes and figures are on [pricing](/pricing).

start with the diagnosis. thirty minutes, on your actual search console and CRM data, not a generic audit template.

you leave with a ranked list of what constrains organic pipeline, and what each is worth. if there is a fit, I scope the install on the spot. if there is not, the list is yours.

book it from [growth diagnostic](/growth-diagnostic).