How We Compared the 10 AI SEO Companies in India
Each company needed active AI-search work and enough detail to see what the company did and how the result was measured.
Inclusion Rules
Eligible work included AI SEO, generative engine optimization, AEO, LLM search, AI citations, referral traffic, prompt monitoring, or AI-search measurement.
Using AI only to produce ordinary SEO content did not qualify. Each company needed a relevant service, client example, campaign, or measurement record.
What We Checked
For each company, we checked the client, starting point, campaign period, work completed, metric definition, denominator, and measurement source. Platform coverage, repeated testing, other marketing work during the same period, arithmetic, and client confirmation also formed part of the review.
Named clients make claims easier to verify. Defined denominators make prompt and citation counts easier to interpret. Neither replaces a stated measurement method.
Company Facts
Positioning and office details came from company-owned pages. Google ratings came from matched Google Business Profiles checked in August 2026.
Google ratings provide business-location and review context. AI SEO performance requires separate campaign evidence. Review counts can change, so each linked profile needs another check before publication.
What Counts as Strong Proof in AI SEO?
Strong AI SEO proof shows what changed, over what period, and where the number came from. Large percentages say little without a starting value, measurement source, or defined sample.
Evidence Chain
We used the same sequence for every material result:
Starting point
Work
Period
Metric
Source
Result
Limit
Missing information limits what the result can prove.
Measured Evidence
Traffic needs analytics records. Citations need a defined prompt or query sample.
Lead claims need CRM or lead records and an attribution method. Repeated tests reduce dependence on one generated answer.
Observed Evidence
Screenshots capture individual responses; cited URLs capture individual source appearances. Client-owned pages can confirm a working relationship without validating every performance number from an agency.
Proof Limits
10 AI SEO Agencies in India Compared
These AI SEO companies in India work across GEO, AEO, ChatGPT visibility, Google AI Overviews, citations, prompt tracking, and referral measurement. Each row shows the example reviewed, main outcome, and one point that changes how the result should be read.
| Company | AI-search work | Evidence reviewed | Main outcome | Result note |
|---|---|---|---|---|
| SEO Noida | AI SEO, GEO, AEO, LLM SEO | Tiwari Academy | AI Overview and ChatGPT mentions | Client testimonial supports mentions |
| FTA Global | Enterprise AI SEO | Reliance Digital | ChatGPT sessions | Published growth matches calculation |
| DerivateX | B2B SaaS GEO | Gumlet | Assisted AI discovery | Survey, GA4, prompt tracking |
| Qoulomb | B2B GEO and AEO | Zetwerk | AI referral sessions | Several tactics changed together |
| TripleDart | SaaS AI SEO | Signeasy | LLM sessions and leads | Headline and detailed endpoints differ |
| Tenet | AI search optimization | Yomly | Citations and ChatGPT visits | Yomly confirms Tenet involvement |
| WebSpero | Google AI Overview work | Urvann and CCI | AIO traffic and keywords | Historical measurement tool unnamed |
| GetCito | GEO measurement | Relific | Visibility, leads, CPL, mentions | Three growth labels differ from arithmetic |
| SEO Yodha | AI visibility optimization | Black Locust Lumber | Visibility score and mentions | Complete score formula unavailable |
| Digipuush | AEO and GEO | B2B SaaS | AI citations and signup traffic | Anonymous client; defined query sample |
SEO Noida
Be the answer in Google, and in AI.
noidaseo.com
SEO Noida offers dedicated AI SEO, GEO, AEO, LLM SEO, Entity SEO, technical AI SEO, and AI-search analytics services. Tiwari Academy is the named AI-search example used here.
AI Search Services
AI SEO work spans answer discovery, crawl access, entity relationships, prompt monitoring, citations, and referral measurement.
AEO services focus on answer-oriented queries. LLM work covers visibility across ChatGPT, Gemini, and Perplexity. Entity SEO maps brand facts and relationships across owned pages.
Four-Stage Method
SEO Noida follows four stages for AI SEO: Map, Structure, Earn, Measure.
Map identifies buyer prompts, topic coverage, cited sources, and conflicting facts. Structure assigns page roles, internal links, visible facts, and relevant schema.
Earn develops original research and expert evidence. Measure tracks rankings, mentions, citations, referral visits, and qualified enquiries against baseline.
Entity definition
Answer visibility
Measurement
Tiwari Academy
Tiwari Academy states that its NCERT resources gained mentions in Google AI Overviews and ChatGPT.
SEO Noida work for the education platform also covered curriculum architecture, templates, internal links, schema, and technical SEO. We exclude traffic figures because supporting analytics and publication permission are not approved for reuse here.
Result Tracking
FTA Global
Search Engineering™, Powered by the Marketing OS.
ftaglobal.in
Reliance Digital moved from 20,738 to 166,400 ChatGPT sessions over nine months of work with FTA Global. FTA Global rebuilt more than 500 blogs and 400 pages during the content programme.
Reliance Digital
Reliance Digital recorded 20,738 ChatGPT sessions in July 2025. FTA Global then reworked blogs, collection pages, overview sections, and supporting content.
By April 2026, ChatGPT-driven sessions had reached 166,400.
166,400 in nine months
ChatGPT Session Growth
FTA Global reports 702.39% growth across the July 2025 to April 2026 period.
Arithmetic Check
20,738 to 166,400 equals approximately 702.39% relative growth. The published figure matches the calculation.
FTA Global does not isolate other site, brand, product, or market changes. Credit the 702.39% result to the full programme, not one tactic.
DerivateX
The B2B SaaS SEO + GEO Agency.
derivatex.agency
Gumlet shows why direct AI traffic and AI-assisted discovery need separate metrics. In April 2026, survey attribution reached 27% of new signups, while GA4 assigned 0.5% of all site sessions to direct AI sources.
Gumlet
DerivateX monitors more than 500 buyer-intent queries each week across ChatGPT, Perplexity, Claude, and Gemini. Gumlet also asks new signups how each buyer first discovered the company.
Survey responses capture discovery. GA4 captures visits arriving directly from an AI source.
0.5% vs 27%
DerivateX also reports that 83% of users who discovered Gumlet through AI later arrived through Google search or direct navigation.
Attribution Sources
Example buyer journey:
branded Google search
website visit
signup
Survey attribution can capture AI discovery even when the final website visit arrives through Google or direct navigation.
Qoulomb
SEO and AI search marketing that turns into real revenue.
qoulomb.com
Qoulomb changed several parts of Zetwerk’s marketing during the same nine months. SEO, content, schema, entity citations, digital PR, GEO, and AEO all changed. AI referral sessions rose from 267 to 6,187.
Zetwerk
From January through October 2025, Qoulomb focused on enterprise buyers in the United States and Europe. Qoulomb tracked AI referral sessions, AI traffic share, and Google AI Overview keywords.
Concurrent Campaign Work
content updates
schema
entity citations
digital PR
query expansion
GEO
AEO
AI Referral Results
Qoulomb labels the referral increase as 2,217%. Moving from 267 to 6,187 equals approximately 2,217.23%, which closely matches the stated figure.
Several parts of the campaign changed together. The full increase cannot be assigned to GEO alone.
TripleDart
Your GTM Engine. Fully Loaded.
tripledart.com
TripleDart lists two monthly LLM-session endpoints for Signeasy. The headline uses 20 → 800, while detailed results show roughly 15–20 → 700–750.
Signeasy
Across six months, work covered priority pages, comparison content, FAQs, schema, forums, citation work, and authority building.
ChatGPT and Perplexity appear among the monitored AI platforms.
Headline vs Detailed Results
Total leads: 98 across January through July
Recalculated Growth
20 → 800 equals 3,900% relative growth.
20 → 750 equals 3,650% relative growth.
Published 3,650% growth matches the 750-session endpoint, not the 800-session headline.
Tenet
Simplifying Complexities.
wearetenet.com
Yomly names Tenet Agency on several HR resources hosted on the Yomly website, providing client-side confirmation of Tenet involvement.
Tenet AI Results
The Tenet case study reports:
Campaign Work
Tenet describes an AI visibility audit, content restructuring, citation-focused pages, external brand presence, and commercial landing-page work.
Platforms named in the case include Google AI Overviews, ChatGPT, Perplexity, and Claude.
WebSpero
Most Clients See Measurable Results Within 60 Days.
webspero.com
WebSpero measured Urvann and CCI Training Center during 2024 and early 2025. Google launched dedicated generative-AI Search Console reporting on June 3, 2026, after both case periods.
Urvann and CCI
Arithmetic
CCI traffic growth equals approximately 309.29%, close to the stated 309%.
CCI keyword growth equals approximately 172.61%, while WebSpero lists 176%.
Urvann values produce approximately 123.23% keyword growth and 145.83% traffic growth, matching the case figures.
Missing Measurement Source
WebSpero does not name the tool used for these historical AI Overview traffic figures.
Both case periods predate the dedicated 2026 Search Console report. These are historical WebSpero measurements, not current Search Console generative-AI data.
GetCito
Empowering brands to be found, trusted, and chosen through customized GEO and AI SEO strategies.
getcito.com
Three percentage labels in the Relific case do not match calculations from the displayed values. We checked four before-and-after metrics across the 90-day campaign.
Relific
GetCito worked on entity analysis, content restructuring, prompt testing, and multi-platform visibility tracking.
ChatGPT, Gemini, Perplexity, and Claude appear in the campaign description.
Four Outcome Metrics
Recalculated Percentages
| Metric | Displayed values | Published label | Recalculated value |
|---|---|---|---|
| Visibility score | 15% → 62% | +47% | +47 percentage points; +313.33% relative |
| Qualified leads | ~70 → ~96 | +33% | ~+37.14% |
| Blended CPL | $264 → $187 | -29% | ~-29.17% |
| AI mentions | 2 → 9 | +366% | +350% |
CPL closely matches the stated reduction. Visibility, qualified leads, and AI mentions do not produce the listed growth percentages from the displayed starting and ending values. Approximate lead counts also limit calculation precision.
Different Metrics
A 47-point visibility change differs from a 350% increase in mentions. Qualified leads and CPL measure commercial outcomes; answer appearances are separate.
Combining the four metrics into one score would mix visibility, mentions, leads, and acquisition cost.
SEO Yodha
AI-Powered SEO That Drives Rankings & Revenue.
seoyodha.com
At baseline, the SEO Yodha case lists an AI Visibility Score of 9 for Black Locust Lumber. Five months later, the score reaches 20. The page does not provide the complete formula needed for direct comparison.
Black Locust Lumber
Campaign work includes technical SEO, comparison content, specification pages, structured data, and authority links. Citation monitoring covers ChatGPT, Perplexity, Gemini, and Claude.
Organic traffic also moves from 219 to about 1.6K during the five-month period, alongside broader SEO work.
Score Change
Missing Score Inputs
Direct cross-provider comparison needs the same prompt set, denominator, platform weighting, repeat count, geography, observation period, and scoring formula.
Digipuush
The AI-first digital marketing agency helping Indian brands get found on Google and cited by AI.
digipuush.com
Digipuush tested 30 priority buyer questions for an anonymous B2B SaaS company. Brand appearances moved from 2 of 30 prompts to 21 of 30 over five months.
30 Buyer Questions
Brand appearances moved from 6.7% to 70% of the monitored sample.
40+ AI Citations
Tracked AI citations moved from 0 to 40+ during the same five-month period. ChatGPT, Perplexity, and Gemini appear among the monitored platforms.
Citation totals and prompt coverage measure different outcomes.
B2B SaaS Campaign
At baseline, the client ranked strongly in Google but had weak visibility in AI answers. Digipuush reworked priority pages, comparison sections, FAQs, titles, schema, and citation tracking.
Signup Attribution
Organic signup traffic increased 62% during the campaign.
Digipuush attributes the increase to AI referrals, improved organic rankings, higher click-through rates, and reworked pages. Client anonymity prevents direct confirmation from the company itself.
What We Found When We Checked the Proof
Across these AI SEO agencies in India, headline size tells less than what sits behind the number. Client identity, starting values, denominators, analytics sources, repeated testing, and attribution determine how much a result can tell a buyer.
Named AI Results Are Still Uneven
Named clients make the work easier to verify. A client name alone does not reveal the analytics source, prompt sample, or attribution method.
Anonymous cases can still be informative when the baseline, sample, period, work, and outcome are defined. Digipuush keeps the client private but defines a 30-question sample, five-month period, and before-and-after result.
Client-owned pages can confirm an agency relationship. Performance numbers still need a separate source.
One Screenshot Does Not Prove a Stable AI Ranking
One response cannot establish a permanent AI ranking.
Useful visibility tracking records the prompt, platform, date, geography, account state, and repeated observations. Research using repeated samples covered Perplexity Search, OpenAI SearchGPT, and Google Gemini. Citation results varied substantially, and citation rankings changed across repeated samples.
A screenshot can show that a result appeared once. Trend claims need repeated observations.
Large AI Traffic Increases Need Context
AI referral traffic can rise during broader marketing work. SEO, content, PR, technical work, brand interest, and conversion pages may all change during the same period.
Before-and-after figures show what moved. Before-and-after figures do not automatically identify which intervention caused the movement.
When several tactics change together, the headline percentage cannot show which tactic caused the increase.
Some Case Studies Have Data Problems
Three issues recur: conflicting endpoints, arithmetic mismatches, and unnamed measurement sources.
FTA Global and Qoulomb are cleaner on arithmetic: the main growth percentages match the displayed starting and ending values.
Does the Agency Method Match the Platform?
Platform rules differ across Google, ChatGPT, Bing and Copilot, and Perplexity. A campaign tactic is not a platform rule unless the platform documents it.
Standard SEO fundamentals remain relevant for Google AI Overviews and AI Mode. Google guidance states that generative Search does not require llms.txt or special AI files. Google also does not require special AI schema or a dedicated Markdown format.
Structured data can still serve normal search purposes, but Google does not require AI-specific schema for generative Search.
ChatGPT
OpenAI documentation identifies OAI-SearchBot as the crawler connected with ChatGPT Search discovery and inclusion. Publishers allowing OAI-SearchBot access can track referral visits through analytics, and ChatGPT referral URLs include utm_source=chatgpt.com.
GPTBot serves a separate training-related function in OpenAI publisher controls. Agency crawler advice should distinguish OAI-SearchBot from GPTBot.
Bing and Copilot
Microsoft launched AI Performance in Bing Webmaster Tools in February 2026. Reporting includes citations, cited pages, grounding queries, and page-level activity across supported AI experiences.
Microsoft states that citation counts do not indicate ranking, authority, importance, or placement inside an individual answer.
Perplexity
Perplexity documentation identifies PerplexityBot as the crawler used to surface and link websites in search results. Perplexity documentation separates PerplexityBot from foundation-model training.
Perplexity recommends allowing PerplexityBot through robots.txt when a site wants to appear in Perplexity search results.
Being crawlable does not prove citations, traffic, or conversions.
Strongest Proof Across Categories
Different forms of proof answer different buyer questions. No single traffic, citation, or visibility metric settles the comparison on its own.
Results With Stronger Measurement
Reliance Digital moves from 20,738 to 166,400 ChatGPT sessions, and the published 702.39% growth matches the displayed values.
Gumlet separates direct AI referrals from survey-reported AI discovery, exposing the difference between direct traffic and assisted discovery.
Zetwerk moves from 267 to 6,187 monthly AI referral sessions. Several marketing changes occurred during the same period, limiting single-tactic attribution.
Stronger Verification Structure
Tiwari Academy provides a named client example for Google AI Overview and ChatGPT mentions, while unsupported traffic figures remain excluded.
Yomly names Tenet Agency on client-owned HR resources, while Tenet supplies the citation and visitor totals.
a 30-question sample gives the anonymous B2B SaaS case a defined denominator for prompt coverage.
Numbers That Need More Caution
the 800-session headline conflicts with the endpoint behind the stated 3,650% growth.
three growth labels differ from calculations using the displayed starting and ending values.
historical AI Overview traffic figures appear without the measurement tool used during the case periods.
the proprietary AI Visibility Score lacks the complete formula needed for cross-provider comparison.
Conclusion
Among these AI SEO agencies in India, case quality differs more than headline size. Large numbers lose context without a baseline, denominator, analytics source, campaign period, or attribution method.
Before choosing an agency, compare the client, work completed, measurement source, platform scope, arithmetic, and anything the case leaves unreported.
Manish Singh is Head of Generative AI at SEO Noida and has 14+ years of experience in SEO, UX, and digital marketing. He focuses on how Google and AI platforms find, interpret, and cite web content. His articles cover AI SEO, GEO, AEO, LLM SEO, entity optimization, content architecture, and visibility measurement, drawing on website audits and campaign work.