The Agency Niche Authority Index: A Framework for Scoring Your Niche Position

Correction, 29 October 2026. Earlier versions of this essay reported figures from a 100Signals scan run in late 2025 and early 2026: firm counts, percentages, citation rates, and score distributions. We can no longer reproduce the firm records behind that scan, so we have withdrawn those figures, along with the charts and tables built on them. The framework below stands as our method for assessing niche authority. It is not a set of measured results.

The Agency Niche Authority Index is a scoring framework 100Signals uses to rate how well a B2B services firm owns the niche it claims on its homepage. It scores five layers, from economy down to contact, and ends in a rubric a firm can run on itself using public signals.

TL;DR

• The Index scores a services firm across five layers: economy, market, niche, account, contact. Each layer rolls into a 0 to 100 composite.
• Market and niche carry 65% of the weight. AI citation presence sits inside the market layer.
• Ten dimensions, each scored 0 to 5, take roughly 90 minutes to assess from public signals.
• Four traits mark a firm that owns its niche: a single named vertical on the homepage, named-operator authorship, a defensible proof asset, and entity consistency across at least five sources.
• The layer weights are our judgment. They have not been validated against pipeline outcomes.

This essay sets out the framework, the scoring rubric, and a 90-day sequence for closing the gaps the rubric finds. If you read one section, read the rubric.

The 2026 reality most agency founders have not absorbed

Three shifts have reset the rules for how buyers find services firms. None of them is new, but together they are now binding.

Shift 1: buyers ask AI first. Forrester’s 2024 Buyers’ Journey study found 89% of B2B buyers now use generative AI somewhere in the purchase process. Gartner’s March 2026 sales survey reported that 67% of B2B buyers prefer a rep-free experience and 45% used AI in their most recent purchase. When they look for agencies, buyers now ask ChatGPT, Perplexity, Claude, and Gemini for a shortlist, then check it on LinkedIn and the firm website.

Shift 2: zero-click has arrived. Semrush’s 2025 research put Google AI Mode zero-click rates at 92 to 94%. Seer Interactive’s September 2025 CTR study showed informational query CTR collapsing 61% when AI Overviews appear above the organic results. Most of the inbound traffic services firms spent a decade building now terminates in an answer box. If the firm is not inside the answer, it is not in the consideration set.

Shift 3: referrals have a ceiling. Hinge Research Institute’s Inside the Buyer’s Brain work has shown for years that 74% of enterprise buyers do significant independent research before accepting an introduction. The number keeps climbing. Referral pipelines still produce, but the referred buyer now cross-checks the firm before the intro call.

The compound effect: a firm that looks strong to its existing network can be invisible to new buyers. Founders often find out only when a competitor they do not respect mentions being on a shortlist they never saw.

The Agency Niche Authority Index is designed to surface that gap before it becomes a quarter of dead pipeline.

What the Index measures

The Index scores a services firm across five nested layers, from macro to micro.

Each layer rolls into a 0 to 100 composite. Market and niche carry 65% of it. That weighting is our judgment, not a measured result: they are the two layers where a firm’s positioning decisions show up most directly, and the two it controls most.

The rest of this essay focuses on those two layers.

Check 1: how many verticals the homepage names

The first question to ask is simple. How many verticals does the firm name on its homepage, above the fold, before the buyer has to click?

One is the target. Two is a hedge. Three or more is a service inventory, and the rubric scores it that way. The reasoning is the same one Hinge Research has reported for years in its High Growth Study: specialised firms grow faster than generalists. Our working view is that the AI answer engines add a second reason. A firm claiming one vertical produces entity-consistent signals across its site, its founder’s LinkedIn, its case studies, and its third-party mentions. The answer engines can resolve that consistency to a clear category. A firm claiming five verticals produces diluted signals, and we expect the engines to skip it when a buyer asks for a shortlist.

For context, here is what a different population looks like. From the current 100Signals agency database of software development firms (October 2026): of the 1,347 firms whose websites name at least one industry they serve, 1,039 (77%) name three or more. That counts industries named on each firm’s own website, from our crawl. It says nothing about AI citations or performance, and it is not a finding about the wider services-firm market.

Check 2: whether AI answer engines name you

The market-layer sublayer that matters most is AI citation presence. To check it, run a standard query set against ChatGPT, Perplexity, Claude, and Gemini for each vertical the firm claims. The query patterns are:

• “top agencies for {vertical}”
• “best marketing partner for a {vertical} company”
• “who are the specialist agencies in {vertical}”
• “recommend a services firm for a {vertical} business”

Log which firms are cited by name in the answer, across all four engines. Then note three things: whether your firm appears, in how many engines, and whether it appears for the verticals it claims or only for others.

A firm can be invisible in AI answers and still rank on Google. The two checks are separate, and the rubric scores them separately.

Check 3: how crowded your vertical is

Some verticals have thick AI citation benches. Others do not. The same query set shows you which. Count the distinct firms the answers name, and note whether a handful take most of the mentions.

The distribution matters. A vertical with a thick citation bench is harder to break into. A vertical with a thin bench is a practical opportunity for a firm willing to commit. As a working rule, the narrower the vertical, the fewer firms the answer engines tend to name, and the greater the upside for a firm committed enough to become one of them. Firms that own a niche pick one small enough to win and wide enough to feed the business.

Four traits of a firm that owns its niche

The Index rewards four structural traits. They are structural, not stylistic.

Trait 1: one vertical on the homepage, no exceptions. Name exactly one vertical above the fold. Two doesn’t count, and neither does a “primarily” with secondaries listed in the sub-hero. The named vertical appears in the H1, in the first paragraph, and in the primary CTA.

Trait 2: a named operator publishes in the vertical. At least one named human publishes consistently in the vertical, owns their LinkedIn page, and is searchable by name. The AI answer engines rely heavily on entity resolution. A named operator with a consistent body of work is resolvable. A firm logo publishing anonymous blog posts is not.

Trait 3: at least one defensible proof asset. A benchmark report, a proprietary dataset, an operational metric published quarterly, an opinionated framework with a name. Something that produces citations back to the firm from third parties, not just from its own domain. Edelman and LinkedIn’s B2B Thought Leadership research has found for years that original research is the thought-leadership format most likely to get buyers to invite the firm to an RFP.

Trait 4: entity consistency across at least five sources. The firm’s name, vertical claim, and named operators appear consistently across the firm’s own site, LinkedIn, Crunchbase or a similar directory, at least one industry publication, and at least one podcast or guest-authored piece. Inconsistency (the firm calls itself “a custom software agency” on the site and “a fintech product partner” on LinkedIn) breaks entity resolution.

A firm with all four traits is doing what the Index rewards. A firm missing two or more has a gap that a referral pipeline can mask for a long time.

The scoring rubric

The rubric is the operational artefact. A firm can score itself in roughly 90 minutes using public signals.

Score each dimension 0 to 5. Maximum is 50. Multiply by 2 for a 0 to 100 composite.

Read the composite as a map, not a verdict. The low scores show where to work first, and the layer breakdown tells you which layer to start with. The composite has not been validated against pipeline outcomes, so use it to find gaps, not to forecast results.

What the Index does not measure

A few things the Index deliberately ignores, because they mislead more often than they help.

It does not measure brand strength. Brand is a lagging indicator of the niche authority the Index measures directly. Firms chase brand; brand follows niche authority.

It does not measure total traffic. Total traffic rewards firms that publish SEO bait in verticals they do not serve.

It does not measure engagement metrics. Time on site, bounce rate, and scroll depth are easy to measure and say little about whether a niche claim is landing. They stay in dashboards because they are easy, not because they predict revenue.

It does not measure total case-study count. Case-study volume matters only when the studies fit the claimed vertical. Eight case studies in one vertical say more about a niche claim than 40 spread across 12.

It does not score the AI visibility of the named operator separately. The named-operator dimension in the rubric covers it only indirectly.

Choosing the vertical: a four-measure niche scorecard

The rubric above scores a niche you have already claimed. The 90-day sequence below starts by locking one vertical, so if you have not chosen yet, score the candidates first. Build a short list from your CRM, your past work, and your technical strengths, then rate each candidate on four measures.

Demand. Count qualified queries, not impressions. Include searches that signal a real buyer problem, such as replatforming, legacy modernization, a regulated integration, or a specific technology decision. Exclude broad educational terms unless they connect to a service page or a sales conversation, because those attract students and people hunting for free documentation as readily as buyers.

Winnability. Inspect the current results. Note which pages hold the top positions, whether they come from specialist agencies or broad publishers, how much relevant authority they carry, and whether they answer the query cleanly. A niche is winnable when your existing expertise, proof, and links can plausibly beat those pages. A keyword tool’s difficulty score is one input, not the verdict.

AI-citation potential. Run buyer-shaped questions through ChatGPT, Claude, and Perplexity: who builds this, which implementation risks matter, which vendors look credible, how the competing tools compare. Assistants do not mirror Google closely. An Ahrefs study of 15,000 prompts found that only 12% of the URLs cited by ChatGPT, Gemini, and Copilot also ranked in Google’s top 10 for the same prompt (Ahrefs AI search overlap study). Your material has to earn selection on its own.

Outbound reach. Match the niche against your CRM, LinkedIn account lists, and earlier opportunities. Can a ranking support a message to a named account, with a relevant proof point and a credible next step? Visibility without a reachable buyer universe does not fill a delivery pipeline.

Rate each measure low, medium, or high against what you can actually see. In our judgment demand and winnability should count most, since an agency needs qualified searches and a credible way into the results, while AI-citation potential and outbound reach test whether visibility can become pipeline. We have set no numeric cutoffs and have not validated any weighting. The scorecard is a decision aid, not a measurement.

What to do with the result

Cut a niche when demand and winnability are both weak with no clear fix, for example when specialist competitors own the results and few queries reflect a real buying decision. Do not fund a dedicated program for it.

When one measure is weak and the cause is clear, fix that measure and keep the niche. Weak AI-citation potential, for instance, points to the first workstream: pages that answer specific questions, cite authoritative sources, and present delivery experience in a form assistants can extract.

Reassign the niche when the weakness is structural, such as a vertical too broad to rank in or one with no reachable accounts. Move the effort to a narrower candidate instead of extending the same plan.

Double down when most measures hold up in the same review window: rankings on the target queries are rising, assistants cite your material consistently, replies from the niche’s accounts are qualified, and the opportunities you source keep showing the same fit. Review rank movement separately from business impact, since a page can improve its position and still attract the wrong audience.

A 90-day sequence for raising your score

The order of operations matters. A firm that skips ahead will likely compound slower than one that runs the sequence in order.

The sequence is built to compound. The proof asset collects third-party citations over time, and a steady LinkedIn cadence gives the answer engines enough content to resolve the firm consistently. We have not measured how fast firms move through it, so treat the timings as a plan, not a forecast.

Why most firms will not run the sequence

The hardest step is week 1. Vertical lock forces a firm to turn away work it has historically taken. Most founders cannot hold that line for 90 days without flinching. The first referral for an off-vertical project tends to arrive within weeks, and a founder under pipeline pressure is tempted to take it and quietly soften the homepage claim.

Kaseya’s 2026 State of the MSP report noted that 71% of MSPs cite customer acquisition as their top challenge. The same dynamic holds across the broader services category. Firms under acquisition pressure revert to breadth because breadth feels safer. The opposite is true: breadth is the slow way out. Focus is the fast way, specifically because it is the harder choice.

Owning a niche means refusing the off-vertical work long enough for the claim to take hold. It takes no special bravery. It takes concluding that breadth is producing less pipeline than focus, then making the boring decision and sticking to it.

Common objections

“Our buyers do not use AI assistants.” The Forrester 2024 and Gartner 2026 figures cover B2B buyers broadly. Services-firm buyers are not exempt.

“Our pipeline is 90% referral, so AI visibility does not matter.” Referrals still close, but the referred buyer now cross-checks the firm before accepting the intro. A firm that is invisible in the answer engines loses some of those cross-checks to a competitor who surfaces in the AI answer. The loss is silent and shows up as flat pipeline, not as a lost deal.

“Picking one vertical will cost us revenue.” It costs off-vertical revenue. The case for accepting that cost is the one made above: Hinge Research’s finding that specialised firms grow faster than generalists, and the way a single, consistent claim is easier for the answer engines to resolve.

“We serve multiple verticals well, we should say so.” Operationally true. Strategically wrong. The homepage is the vertical claim that the rest of the firm is built to prove, not the service inventory. Most founders conflate these and hand the homepage to the operations team, which produces a list of verticals rather than a positioning statement.

The broader category critique

Many services firms have marketing teams, budget, and the operational skill to deliver the work they promise. What they often lack is a positioning layer strong enough to let buyers recognise them as the specialist in anything.

The Index is built to show where that decision has not been made. A low score points at a positioning gap, not at a shortage of content, ads, or outbound. The fix is the decision to be a specialist, followed by the operational discipline to hold that decision for two quarters.

Use the Index

The 100Signals Scan looks at how your firm shows up in AI answers and emails you a report within 24 hours. It returns a niche position score out of 100, the AI answers to your buyers’ questions with your firm named or not named, up to five of the niches you claim tested against the firms AI recommends instead, and one fix your team can ship this week. It is free, and it is built for the founder or head of growth who wants the numbers without a sales call.

Run the Scan on your firm and see where your niche authority sits.

If the Index surfaces the gap and the firm wants to close it, the Authority and Pipeline tiers run the sequence above as a productised service. The Authority tier is positioning, named-operator setup, proof-asset production, and AI citation work. The Pipeline tier adds the account-layer and contact-layer work that turns niche authority into booked pipeline. Both carry the same underlying methodology the Index measures.

Sources and method

The Index is scored from public signals: homepage copy, case-study pages, founder LinkedIn profiles, and directory listings, plus a manual check of whether the firm is named by ChatGPT, Perplexity, Claude, and Gemini for the verticals it claims. The framework is our method. The layer weights and the rubric scoring are our judgment, not measured results.

Supporting sources referenced:

• Forrester, “State of Business Buying 2024”, GenAI adoption figures
• Gartner, “2026 B2B Sales Survey”, rep-free preference and AI-in-purchase data
• Semrush, “AI Mode Impact on Search Behavior, 2025”, zero-click data
• Seer Interactive, “AIO Citation Impact on CTR, September 2025”, informational CTR data
• Hinge Research Institute, “Inside the Buyer’s Brain” and “High Growth Study, 2026 Consulting Edition”
• Edelman-LinkedIn, “B2B Thought Leadership Impact Study, 2024”
• Kaseya, “State of the MSP 2026”, MSP acquisition challenge data
• ConnectWise, “MSP Marketing 2026”, marketing spend benchmarks
• Gartner, “Worldwide IT Spending Forecast, April 2026”, category sizing
• Foundry/IDG, “2025 Enterprise Tech Buying Study”, stakeholder counts
• Ahrefs, “AI search overlap study”, overlap between AI citations and Google rankings

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Peter Korpak is the founder of 100Signals. Previously head of marketing at Brainhub and a market research analyst at Credit Suisse. 15 client engagements as 100Signals with $5M+ services firms. Client names are protected by NDA; references available on request at peter@100signals.com.