When a buyer asks Google or ChatGPT who does what you do, a few companies get named. We measure whether you are one of them, against the competitors you lose work to, and write the specification that fixes it.
We do the diagnosis. Whoever already handles your website does the building.
Three firms come up most often for commercial printing in New York:
Illustration of a typical category answer. We measure whether yours names you.
Two ways, and most companies measure neither. Buyers find you through search rankings, and increasingly through AI answers that name a handful of companies and cite a handful of sources.
When a buyer searches for what you sell, in the market you sell it in, you are either on the first page or you are invisible. Second-page rankings produce almost no clicks regardless of how good the company is. Most established businesses discover that all of their search traffic comes from people already typing the company name, which is a directory lookup rather than customer acquisition.
The second surface is newer. A growing share of buyer research happens inside ChatGPT, Gemini, Google AI Mode and the AI Overview block that sits above ordinary results. Those systems name companies and cite sources. You cannot check this reliably yourself, and almost nobody is measuring it.
The direction of travel is documented outside our own work. Semrush measured Google AI Overviews on 6.49 percent of US desktop queries in January 2025 and 13.14 percent by March 2025. Ahrefs found 76 percent of pages cited in AI Overviews also rank in Google's top ten (1.9 million citations, July 2025). Seer Interactive measured organic click-through on informational queries at 0.61 percent with an AI Overview in September 2025, against 1.62 percent without one. Prevalence estimates vary by methodology and should be read as a range rather than a figure.
They are the same problem. AI systems largely cite what already ranks, so the work that fixes one fixes the other. The difference is that AI also draws on third-party sources and needs to resolve your business to a specific company in a specific place. Getting that wrong is why some firms rank reasonably and still never get named.
Ranks for 97,000 Google searches. Named in Google’s AI answer on 0.1% of them.
Size did not carry over. Renters search one city at a time, and the AI answers lean on the listing sites that cover each city. A national brand is not a citation. Measuring each engine and each market separately is what shows a gap like this. How the audit works
Movement comes in three phases, and the first is faster than most people expect. Structural corrections to pages that already exist typically show within four to eight weeks. New pages take three to six months to settle. After that the work compounds, because each page makes the next one easier to rank.
The reason the curve steepens rather than rising in a straight line is that authority accrues. A site with forty ranking pages ranks its forty-first faster than a site with five ranks its sixth. That is also why the first phase matters disproportionately: until pages stop competing with each other, nothing else compounds.
What the chart deliberately does not show is a number. How far the line travels depends entirely on the market, and some markets are small. In one industrial market we measured, the entire core commercial keyword set totalled roughly 700 monthly searches, and eleven pages would have covered it completely. Establishing the size of the opportunity is the first thing we do, and occasionally the answer is that it is not worth pursuing.
Seven layers, measured against three or four named competitors chosen by hand rather than against a generic benchmark.
Competitors are selected manually. Automated competitor discovery returns national marketplaces and franchise networks that do not compete for the same contracts, which produces a report that reads well and means nothing.
From our own measurement: in one industrial category analyzed in July 2026, a service term with unambiguous buying intent carried a keyword difficulty score of 14 and a cost per click of $32.57. The 219-keyword cluster around it averaged a difficulty of 6. Difficulty that low on terms priced that high does not normally coexist: advertisers established the commercial value while the organic positions went unclaimed.
Eight faults recur. The most common is that all search traffic comes from people already searching the company name, meaning the website introduces nobody new.
Measured, not assumed: across seven companies analyzed in one industrial market in July 2026, five showed evidence of purchased or spam backlinks — blog networks, cheap top-level domains, an SEO vendor case study and directory schemes. Not one of the seven appeared in the Google AI Overview returned for their own category, while three companies outside that set did.
Three pieces, in order: an analysis establishing where you stand, a build specification stating exactly what to construct, and optionally the pages themselves. Most companies start with the first and decide from there.
Your position in search and AI answers, who is beating you, what share of your market you capture, and the reasons behind all three.
Every page mapped. Target term, URL, headings, schema, internal links, priority order. Written so your developer can work straight from it.
Optional, quoted separately. Most specifications die on delivery because nobody writes the pages. We write them if you want us to.
Established B2B and industrial companies that are better than their search presence suggests.
Typically owner or family run, five to fifty million in revenue, one or more locations, with real credentials and a website that reflects none of it. Usually there is already someone looking after that website, and usually that relationship works fine. What is missing is not effort. It is a diagnosis.
The work spans the vocabulary these buyers actually search: variable data printing, kitting and assembly, pick and pack, warehousing and SKU management, literature fulfillment, EDDM and presort mailing, NCOA processing, wide format, MRO supply, 3PL logistics, CNC machining tolerances, and the certifications that govern each.
Figures described as measured are from Search Standing's own analyses using Semrush, Google Search Console and direct queries to each AI engine, on the dates stated. Published ranges move quarter to quarter; the patterns are what we rely on.
Send your company and your market. We will run the analysis and send back a summary naming your competitors, the search terms they are winning, and where you sit against them.
No call required and no obligation. Read it, check it yourself, and decide. If the findings are worth discussing after that, we can talk then.
Prepared for your company against the competitors you name. Written by the person who would run the paid work.
Or email contact@searchstanding.com directly.