City market report A research page, not an office page
Pune 9 local businesses scannedAn AI search readiness study by MoxSEO, a remote digital marketing agency for Pune businesses
Looking for a digital marketing agency in Pune? MoxSEO is an SEO and AI search team that works with Pune businesses remotely; we have no office there. Before advising anyone, we scanned 9 Pune business websites on 9 checks. Their median score was 73/100, joint 3rd of 20 cities. 1 of 9 passed "author and dates declared".
Pune's nine sites ran from 9 (digibrandz.in) to 91 (itorixinfotech.com). Two Pune sites block AI crawlers, the most of any city: magemarketer.com blocks 8 and itorixinfotech.com blocks 4. Only quleiss.com named an author and dates.
Pune sample, by row
Published, CC BY 4.0Share of checks passedNot scanned
- 59magemarketer.com
- 41omxtechnologies.com
- 9digibrandz.in
- 82awrange.com
- 73piidm.com
- 73opstechsolution.com
- 41quleiss.com
- 91itorixinfotech.com
- 82nucleosystech.com
Nine Pune websites, scored row by row
Every business in the Pune sample, with its score out of 100 and the result of each of the nine checks. These are diagnostic observations from one homepage scan, not endorsements or a ranking of the businesses.
| Website | Score / 100 | Answer | Q-heads | One H1 | Lists | 3+ H2 | Paras | Author | Cites | Schema | Opening words | JSON-LD blocks | AI crawlers in robots.txt |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| magemarketer.com | Direct answer near top: Pass | Question-form headings: Pass | Exactly one H1: Fail | Lists or tables: Fail | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Fail | Structured data present: Pass | 38 | 2 | Blocks 8 of 14 | |
| omxtechnologies.com | Direct answer near top: Fail | Question-form headings: Fail | Exactly one H1: Pass | Lists or tables: Fail | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Fail | Structured data present: Pass | 13 | 1 | None named | |
| digibrandz.in | Direct answer near top: Fail | Question-form headings: Fail | Exactly one H1: Fail | Lists or tables: Fail | Three or more H2 sections: Fail | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Fail | Structured data present: Fail | 9 | 0 | None named | |
| awrange.com | Direct answer near top: Pass | Question-form headings: Pass | Exactly one H1: Pass | Lists or tables: Pass | Three or more H2 sections: Pass | Paragraph length: Fail | Author and dates declared: Fail | Cites external sources: Pass | Structured data present: Pass | 37 | 5 | None named | |
| piidm.com | Direct answer near top: Fail | Question-form headings: Pass | Exactly one H1: Pass | Lists or tables: Pass | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Pass | Structured data present: Pass | 23 | 1 | None named | |
| opstechsolution.com | Direct answer near top: Fail | Question-form headings: Pass | Exactly one H1: Pass | Lists or tables: Pass | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Pass | Structured data present: Pass | 12 | 1 | Names 8, blocks none | |
| quleiss.com | Direct answer near top: Fail | Question-form headings: Fail | Exactly one H1: Fail | Lists or tables: Fail | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Pass | Cites external sources: Fail | Structured data present: Pass | 24 | 1 | None named | |
| itorixinfotech.com | Direct answer near top: Pass | Question-form headings: Pass | Exactly one H1: Pass | Lists or tables: Pass | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Pass | Structured data present: Pass | 67 | 6 | Blocks 4 of 14 | |
| nucleosystech.com | Direct answer near top: Pass | Question-form headings: Pass | Exactly one H1: Fail | Lists or tables: Pass | Three or more H2 sections: Pass | Paragraph length: Pass | Author and dates declared: Fail | Cites external sources: Pass | Structured data present: Pass | 44 | 2 | None named |
- Score range
- From 9 (digibrandz.in) to 91 (itorixinfotech.com). Median 73, above the pooled 148-site median of 68, joint 3rd of 20 cities.
- Most common signal
- Three or more H2 sections; Paragraph length; Structured data present: 8 of 9 sites.
- Least common signal
- Author and dates declared: 1 of 9 sites, against 16.2% pooled.
- Answer and provenance
- Direct opening answers on 4 of 9 sites, a named author and date on 1, citations on 5, structured data on 8. A concise answer helps retrieval; named responsibility and sources make claims checkable.
- Crawler handling
- Two of the 9 Pune sites blocked at least one named AI crawler in robots.txt (magemarketer.com blocks 8 of the 14 AI crawlers parsed; itorixinfotech.com blocks 4 of the 14 AI crawlers parsed). One site named AI agents without blocking any (opstechsolution.com), which shows deliberate configuration but says nothing about content quality.
- Strongest site
- Highest score: 91, by itorixinfotech.com.
Four audit stages, nine scored checks
The audit order has four steps. Under each sit the checks the study scored on every homepage, with the pooled 20-city pass rate beside the Pune count. With 9 sites, one business moves the Pune figure by 11 points, so read the counts, not just the percentages.
| Signal | What it means | 20-city pooled result | Pune |
|---|---|---|---|
Step 1Confirm accessRobots rules, response status, canonical output, rendering, internal links and indexation for the page types tied to real demand. | |||
| AI crawler access | Whether robots.txt lets AI crawlers fetch the site. The study parsed rules for 14 AI crawlers. Recorded, not scored. | 9 of 148 block one or more22 name AI agents; 14 of those block none | 2 of 9 block |
Step 2Test answersWhether priority pages answer the customer question early, use descriptive sections and expose facts that can be extracted accurately. | |||
| Direct answer near top | An opening paragraph of 25 to 90 words that answers the question the page exists for. | 4 of 9 (44%) | |
| Question-form headings | Headings phrased the way people ask, so a section maps to a query. | 6 of 9 (67%) | |
| Exactly one H1 | One main heading, so the page's subject is unambiguous. | 5 of 9 (56%) | |
| Lists or tables | Facts set out in structures a machine can lift without rewriting. | 5 of 9 (56%) | |
| Three or more H2 sections | Enough descriptive sections for each to answer something on its own. | 8 of 9 (89%) | |
| Paragraph length | Paragraphs kept short enough to read, and quote, as one unit. | 8 of 9 (89%) | |
Step 3Verify provenanceBusiness identity, authors or reviewers, dates, citations, qualifications, policies and local evidence, in proportion to the risk of the claim. | |||
| Author and dates declared | A named author and a published or updated date: who stands behind the page, and when. | 1 of 9 (11%) | |
| Cites external sources | Links out to the sources a claim rests on. | 5 of 9 (56%) | |
| Structured data present | Schema.org markup that states the business, page and facts in machine-readable form. | 8 of 9 (89%) | |
Step 4Measure actionsQualified discovery connected to calls, enquiries, appointments, applications, demos or visits, without presenting attribution as perfect. | |||
| Qualified actions | Whether search visits turn into the step a customer can actually complete. | Not part of the homepage scanMeasured per site, in an audit | Not scanned |
What 9 sites can show, and what they can't
The scan records visible technical and editorial signals from 9 Pune business websites at one point in time. It shows recurring implementation gaps and good questions for an audit. It cannot prove market-wide prevalence, customer preference, future AI citations or the commercial impact of any single signal.
- What this page shows
- Every Pune row from the published file, its nine check results and how the city compares with the other 19.
- What it doesn't claim
- That these 9 sites represent every Pune business, or that a higher score means more traffic or citations.
- How sites were picked
- From Google Places rather than at random: 6 to 9 sites per city, 148 in all, across 7 countries.
- Still useful for
- Auditing your own site. Recommendations come from its rendered pages, business facts, journeys and analytics, not from a city average.
One file, 9 of its rows
1 dot = 1 websitePooled CSV, 148 rows20 cities, published, CC BY 4.0
Pune, 9 rowsInside the published CSV
Download the pooled file: city-market-study-2026-07-27.csv. How evidence is handled: methodology. All findings: the 20-city study.
What to fix first in Pune
Start with the checks Pune sites failed most often, then test your own pages before assuming the pattern applies to them. Begin with the service, location and conversion pages behind your most valuable decisions, and ignore the city comparison wherever your own evidence points to a bigger problem.
Put a name and a date on the work
1 of 9 Pune homepages passed "author and dates declared" (11%), against 16.2% across all 148. Only quleiss.com did. It is the cheapest provenance signal to add: a named, accountable person and a visible published or updated date.
11%of Pune sites passOpen each priority page with the answer
4 of 9 Pune homepages passed "direct answer near top" (44%), against 41.2% across all 148. Put a 25 to 90 word answer first, then the detail that supports it.
44%of Pune sites passLink to the sources your claims rest on
5 of 9 Pune homepages passed "cites external sources" (56%), against 62.8% across all 148. An outbound link to the primary source lets a reader, or a model, check the claim.
56%of Pune sites passCheck what crawlers actually receive
Two of the 9 Pune sites blocked at least one named AI crawler in robots.txt (magemarketer.com blocks 8 of the 14 AI crawlers parsed; itorixinfotech.com blocks 4 of the 14 AI crawlers parsed). One site named AI agents without blocking any (opstechsolution.com), which shows deliberate configuration but says nothing about content quality. Blocking is a business choice; make it deliberately. Then verify the rendered page after scripts, templates, consent tools and plugins have run, not what the editor shows.
2/9block an AI crawlerConnect discovery to a step customers can take
Calls, enquiries, appointments, applications, demos or visits. Measure qualified actions, and say where attribution is uncertain.
Then match the page to the customer journey
The Pune market includes technology, education, manufacturing, professional services, and high-growth business-to-business firms. Each needs different proof on the page.
A technical evaluator and a buyer should be able to verify the same offer. Connect product, use-case, integration, documentation, security, pricing and sales pages.
- Integration and docs pages
- Security and pricing in reach
- One path to a demo
Keep courses, eligibility, fees, dates, outcomes, faculty responsibility, accreditation and application steps accurate across templates and campaign pages.
- Fees and dates in sync
- Accreditation stated
- Application steps on the page
Publish specifications, certifications, capacities, industries served, service or export areas and a quote route as text a crawler can parse, not only in PDFs.
- Specs as HTML, not only PDF
- Certifications stated
- One quote route
Connect expertise, named specialists, industries served, evidence and office information, and qualify enquiries, instead of relying on generic capability claims.
- Named specialists
- Evidence by industry
- Qualified enquiry form
Twenty cities, Pune in context
The pooled study is the comparison point, not a league table. Each city figure comes from 6 to 9 sites picked from Google Places, so read it as the shape of a market. Pune's nearest comparison, Mumbai, had a median of 68.5 against Pune's 73.
- Pune median score, against 68 across all 148 sites
- 73/100
- Joint 3rd by median score among the 20 cities in the pooled file (6 share this median)
- 3 of 20
- Pune homepages declaring author and dates, against 16.2% pooled
- 11%
- ChennaiIndia43% author and dates, 57% direct answer near top
- BengaluruIndia38% author and dates, 38% direct answer near top
- KolkataIndia33% author and dates, 67% direct answer near top
- AhmedabadIndia33% author and dates, 56% direct answer near top
- SingaporeSingapore29% author and dates, 29% direct answer near top
- TorontoCanada29% author and dates, 29% direct answer near top
- GurgaonIndia22% author and dates, 22% direct answer near top
- LondonUK17% author and dates, 50% direct answer near top
- MumbaiIndia17% author and dates, 33% direct answer near top
- New YorkUSA12% author and dates, 62% direct answer near top
- DelhiIndia12% author and dates, 50% direct answer near top
- JaipurIndia12% author and dates, 38% direct answer near top
- PuneIndia11% author and dates, 44% direct answer near top
- SydneyAustralia11% author and dates, 44% direct answer near top
- NoidaIndia0% author and dates, 43% direct answer near top
- DubaiUAE0% author and dates, 38% direct answer near top
- BhopalIndia0% author and dates, 33% direct answer near top
- ChandigarhIndia0% author and dates, 33% direct answer near top
- IndoreIndia0% author and dates, 33% direct answer near top
- LucknowIndia0% author and dates, 25% direct answer near top
- HyderabadIndiaScanned separately. No values published, so no position.n = 13
Source: city-market AI readiness study, July 2026. Six cities recorded 0% on attribution. Per-city samples are small; the study calls these figures indicative. City names link to each city's page.
Digital marketing for Pune businesses, scoped to one site
MoxSEO works with Pune businesses remotely. We have no office or address in Pune and do not pretend to. Every engagement starts from evidence on your own site, the way this page starts from evidence on 9 local ones.
- Local SEOBusiness information, location pages, reviews and conversion paths
- AI SEO and GEOExtractable answers, provenance and AI crawler access
- Technical SEORendering, canonicals, indexation and internal links
- Digital marketingContent marketing and the wider programme around search
- Local SEO packagesPublished starting points for local programmes
Test the same signals free: AI Answer Extractability CheckerAI Crawler Access CheckerNAP Consistency Checker
Questions about Pune
MoxSEO is an SEO, AI search and digital marketing team that works remotely with businesses across Pune, including Hinjewadi, Wakad and Kharadi. We have no office or address in Pune. This page is our research on 9 local business websites, which we use as starting evidence in a Pune audit, alongside the evidence on your own site.
The 9 Pune homepages we scanned had a median score of 73 out of 100, above the pooled median of 68 and joint 3rd of 20 cities by median. Scores ran from 9 (digibrandz.in) to 91 (itorixinfotech.com). The sample is small and picked from Google Places, so treat it as indicative, not a census.
"Author and dates declared": 1 of 9 passed, against 16.2% across all 148 sites. "Direct answer near top": 4 of 9 passed, against 41.2% across all 148 sites. Both are fixable in a template or a content edit, which is why they lead our Pune audit order.
Two of the 9 Pune sites blocked at least one named AI crawler in robots.txt (magemarketer.com blocks 8 of the 14 AI crawlers parsed; itorixinfotech.com blocks 4 of the 14 AI crawlers parsed). One site named AI agents without blocking any (opstechsolution.com), which shows deliberate configuration but says nothing about content quality. Across all 148 sites, 9 blocked at least one of the 14 AI crawlers the study parsed.
Pune: median 73, 11% named an author and date, 44% opened with a direct answer (9 sites). Mumbai: median 68.5, 17% named an author and date, 33% opened with a direct answer (6 sites). Both samples are small, so a difference of one site moves the percentages a lot.
Local SEO, AI SEO and GEO, technical SEO, content and the wider digital marketing programme, all delivered remotely. Work starts with an audit of your own pages; in Pune the first fixes are usually "author and dates declared" and "direct answer near top", the two checks local sites failed most.
The other 20 city reports
All researchFigures per city: share of sampled homepages declaring author and dates, and opening with a direct answer. Every page is a research report on that market, not an office. How evidence is handled: methodology.
Test your site,
not the city average.
Bring your site, your goals and your constraints. In a free 30-minute call, Sakshi Kumari or Ashish Khan, the specialists who run MoxSEO, check access, answers and provenance on your priority pages and tell you the most useful first move.
A call is not an engagement. We never guarantee rankings, traffic, revenue or AI citations.