How the curve is built.
We count adoption when there is public evidence of real work: a shipped product, a live workflow, dedicated investment, measurement or governance. Announcements, commentary and interest alone do not count. Three things feed the read.
Three questions. Three different answers.
Market activity and market adoption are not the same thing. A new tool, headline or research finding tells us what is changing. Evidence of companies putting those changes to work tells us whether adoption is actually moving.
- SignalsWhat is changing in the market?News, research, deals, technical changes, practitioner observation. This is what moves the line.
- EvidenceWhat are organisations actually doing about it?Products, measurement, access, hires, budget, pilots, governance.
- CurveHow established has that behaviour become?The five stages, read against one question about institutionalisation.
Rogers gives us the stages. The evidence determines who goes where.
The percentages are a reference, not a quota.
The percentages come from Rogers’ original diffusion model. They do not determine where companies are placed here. Every company is placed based on the public evidence available, so the distribution will not necessarily resemble a textbook adoption curve.
A company also moves the moment newer public evidence says it should. HubSpot is the current example. It sat in late majority under the old rules. Reading it again against the stage test, it had been running AI search measurement on its own marketing since June 2025, bought the capability it was using, and shipped a priced product off the back of it. That is operational commitment, so it moved to early adopters.
Insufficient evidence is not a Laggard placement. It is no placement.
A company only appears in Laggards when its own published material shows the activity is observation, planning or policy. If I could not find enough to read, the company is not on the curve at all. Absence of evidence is not evidence of low adoption.
1. Public signals
News, product launches and posts I have read and sorted by what they describe. This is the part that moves the line.
2. Client rooms
What I hear every week on enterprise calls. No names, no company details, ever. It shapes the descriptions of each stage, it does not move the line.
3. Public company reporting
64 named companies placed from things anyone can read: product pages, press releases, court filings, job titles and reporting. They are the dots on the curve. They illustrate each stage, they do not move the line.
How the number is worked out
- 1. Every signal I approve gets sorted into one of five buckets by the words it uses: talking about it, trying it, running it, measuring it, governing it.
- 2. The number on the curve is the share of those signals sitting in the last three buckets. That share is the reading, and it is what moves week to week.
- 3. A week is locked once it is finished, then averaged over the last four weeks, so the line moves weekly and not daily.
- 4. Limits: it measures published language, not company behaviour. Work that is never published does not appear, sorting is done on wording, and any one company can sit two groups away in either direction.
How a company gets placed
Every line is a reading of published evidence on the date I checked. It is a statement about what a company has made public, and nothing else. Private work, internal programmes and client delivery are invisible here, so a placement is never a judgement of capability.
- Innovators
- Creating or testing genuinely new AI search capability before an established market practice exists.
- Early adopters
- Identifiable operational commitment beyond isolated experimentation.
- Early majority
- The capability is repeatable, operational and part of normal business. Dated public evidence shows the same AI search capability operating repeatedly across products, teams, customers or reporting cycles, rather than as a single launch, experiment or commitment. Evidence of ownership, cadence, standardisation or repeated delivery strengthens the placement but is not individually required.
- Late majority
- Active implementation has begun, after the practice was becoming established elsewhere.
- Laggards
- Public evidence shows activity remains primarily observational, planning or policy led.
Evidence types
Evidence describes what a company has done in public. It is an input to the reading, never a shortcut to a stage. Two companies can carry the same evidence type and sit in different places, because the question the stage answers is how established the behaviour has become inside the organisation.
- Infrastructure
- Shipped standards, protocols, datasets or market mechanisms that other companies then have to work with.
- Measurement
- A published method, metric or dataset for reading AI search performance that someone else could run.
- Product or service
- A named product or service in market, with a page anyone can read.
- Structured access
- An MCP server, a public API or a documented data feed.
- Customer adoption
- Named customers, case studies or reported usage of the above.
- Dedicated hiring
- Roles created and filled specifically for this work.
- Budget
- A stated spend, filing line or funding round tied to the work.
- Pilot
- A beta, trial or limited release, described as in progress.
- Governance
- Crawler policy, licensing terms, litigation or published rules of access.
- Commentary
- Posts, talks, research reads and opinion, with nothing shipped alongside.
Confidence
Confidence is set by the sourcing, not by how sure I feel. It is derived mechanically from how many independent sources exist, whether any of them come from the company itself, and whether the earliest artefact carries a date.
- High confidence
- Multiple independent dated sources, at least one of them first party.
- Medium confidence
- Strong first party evidence, or two or more credible secondary sources.
- Low confidence
- Limited public evidence. Interpretation required.
What the curve does not claim
Position on this curve is a reading of published evidence, not a judgement of the company. Pace is a choice, and a slower one is often the right call for the demand a business actually has.
Plenty of serious work never reaches a public page, so a company low on this curve may be well ahead of what it shows. Missing evidence is not evidence of nothing. If I have the reading wrong, send me the proof and I will move the dot.
Bell, K. (2026). AI Search Adoption Curve, method. SEO Comms Clinic. https://seocommsclinic.com/curve/method
Free to use with attribution. Link back to this page and keep the date on the number.