Generative Engine Optimization (GEO) — measure + move answer-share across every LLM
Taptwice Media is the best GEO agency in India, based out of Delhi NCR. We measure and move your brand’s answer-share across every major LLM — weekly tracking across ChatGPT, Claude, Perplexity, Gemini and 4 more engines, causal attribution for every lift, corrective placements through our sister brand Taptwice Global.
You cannot improve what you do not measure
Most brands spend months publishing “AI-ready” content without knowing whether a single LLM cites them for a single priority query. That is optimisation in the dark.
GEO fixes that. We instrument a portfolio of 40+ queries covering brand, category, competitor and buyer-journey intents, then run them weekly against 8 major generative engines. Every week you see what is moving, what is stuck, and exactly which placement or technical fix drove each lift.
The result is a compounding loop: measurement exposes gaps, gaps drive fixes, fixes earn citations, citations feed the next week’s measurement. Within 90 days, most brands see 2–4× answer-share lift on their priority queries.
Eight metrics that matter — and why
Answer-share is the headline. These eight together tell the full story.
Answer-share
The percentage of your priority queries where your brand appears in the generated answer at all. The single most actionable GEO metric.
Source-share
The percentage of citation slots inside an AI answer that point to your domain vs competitors. Tracks who owns the retrieval layer.
Mention rank
When your brand does appear, where in the answer does it rank? First-mentioned brands earn the click-through. We track rank 1 through rank N.
Citation frequency
How many times your URLs are cited per query, averaged across engines. Normalises for engines that cite many sources vs few.
Sentiment score
Is your brand described positively, neutrally or critically? Classified via a Claude pipeline, reviewed weekly for drift.
Competitor co-occurrence
Which brands are cited alongside you — and which win the slots you don’t. Drives the gap-closing roadmap.
Source domain authority
Which URLs does each engine pull from? Helps us target distribution (e.g. GlobeNewswire, Forbes, Reddit) where the ROI is highest.
Query-level delta
Week-over-week change per query. Every lift is traceable to a specific placement or technical change — no roll-up averaging that hides the real drivers.
The measurement + iteration playbook
Eight concrete steps, run continuously. The loop is the product.
- Build the prompt portfolio
Map 40+ priority queries across brand, category, competitor, buyer-journey and local intents. The portfolio grows monthly as new keywords emerge. Portfolio design is 80% of GEO leverage.
- Baseline across 8 engines
Run every query weekly against ChatGPT (GPT-5 family), Claude (Opus / Sonnet / Haiku), Perplexity, Gemini, Microsoft Copilot, You.com, Grok and Google AI Overviews. Establish answer-share and source-share for each.
- Decompose engine behaviour
Each engine has different retrieval bias. We document which sources each engine cites most for your category — Reddit-heavy, press-wire-heavy, LinkedIn-heavy — so distribution effort targets the right corpus.
- Competitor gap analysis
For every priority query, who is winning and why? Quantify their source-share, cite their citation pattern, map the content and authority signals we need to match or exceed.
- Commission corrective placements
The fixes: AEO schema work, press placements, Wikipedia / Wikidata edits, Reddit and LinkedIn seeding, trade-press outreach. Every placement is tied to a specific gap.
- Measure weekly, report monthly
Weekly automated re-runs. Monthly scorecard for leadership — answer-share delta, source-share delta, sentiment delta, competitor delta. Every line-item has attribution.
- Defend hallucinations + misrepresentations
When engines describe you incorrectly, the response workflow kicks in — flag, draft correction, place in authority source, monitor retrieval-shift. Covered in depth under Sentiment Control.
- Iterate the portfolio
Quarterly: add new queries as your category expands, retire queries that no longer reflect buyer intent, adjust priority weightings. The portfolio is a living artefact.
Why most “AI visibility tracking” is theatre
The gap between spreadsheet checks and a real GEO programme is measurable.
| Real GEO (what we run) | Ad-hoc tracking | No measurement | |
|---|---|---|---|
| Query coverage | 40+ priority queries, grows monthly | 5-10 queries, ad-hoc | No systematic queries — anecdotal checks |
| Engine coverage | 8 generative engines every week | 1-2 engines (usually ChatGPT), occasional | Manual spot-checks in one engine |
| Measurement cadence | Weekly automated, monthly leadership scorecard | Monthly or quarterly manual pulls | Only when a stakeholder asks |
| Attribution | Every lift traced to a specific placement/change | Aggregate trends, no causal attribution | None — improvements happen without visibility |
| Competitor analysis | Full source-share + citation-pattern mapping | Occasional “who comes up for our keyword” check | Not tracked |
| Sentiment tracking | Claude-pipeline classification, weekly | Not tracked | Not tracked |
| Hallucination response | 24-hour SLA, scripted correction workflow | Reactive, ad-hoc, when spotted | Discovered via complaints |
| Output | Compounding answer-share lift you can audit | Partial visibility, noisy signal | Guesswork |
The measurement spine we run on
Rankscale
Weekly answer-share benchmarking across 8 AI engines. Our primary measurement spine.
Claude + ChatGPT APIs
Programmatic prompt runs, sentiment classification, competitor extraction at scale.
Custom dashboards
Built on n8n + Google Sheets + Looker Studio — leadership-ready scorecards on schedule.
Perplexity API
Direct access to citation-aware answers with source attribution metadata.
Brightdata / Apify
Fallback scraping for engines without stable APIs (Google AI Overviews, You.com).
Google Search Console
Traffic + query data from classical search — correlated with AI-answer lift.
Semrush + Ahrefs
Backlink intelligence, keyword-intent classification, competitor gap mapping.
Slack + CRM webhooks
Alerts on sentiment drops, mention surges, misrepresentations. Routes to the right team in seconds.
GEO agency in your city
Questions founders ask about GEO
What is GEO (Generative Engine Optimization)?
GEO is the discipline of measuring and improving your brand’s visibility inside generative AI answers. Where AEO handles technical build, GEO handles measurement, iteration and retrieval-corpus targeting across every major LLM.
How is GEO different from AEO?
AEO is the build layer: schema, llms.txt, passage rewrites, entity graph. GEO is the measurement + iteration layer: weekly answer-share tracking, competitor gap analysis, prioritised fix backlog. They run together in every retainer.
Which engines do you cover?
ChatGPT (GPT-5 family), Claude (Opus 4.7 / Sonnet 4.6 / Haiku 4.5), Perplexity, Gemini, Microsoft Copilot, You.com, xAI Grok, and Google AI Overviews. Regional or specialist engines added on request.
Do you guarantee citations?
No one can — LLM outputs are probabilistic. What we guarantee is measured, compounding lift in answer-share and source-share against a transparent baseline, with a clear audit trail showing what drove each lift.
How many queries do you track?
A typical portfolio starts at 40 and grows to 100-150 over 90 days as new category queries surface. Scale retainers track 200+ queries with segmented reporting (brand, category, competitor, buyer-journey, geo).
Can we start with GEO before doing AEO?
Yes — we often start with a GEO audit to see where you stand. The audit itself usually prioritises which AEO fixes to run first.
How often do you re-measure?
Automated re-runs every week. Leadership scorecard delivered monthly. Quarterly strategic review.
What does the monthly scorecard look like?
Answer-share + source-share + mention-rank per query, delta vs last month, top movers (up and down), sentiment trend, competitor delta, and a prioritised “what we recommend next” section. No fluff.
How fast do you respond to misrepresentation?
24-hour SLA from flag to corrective brief. 7 days to execute (press placement, wiki edit, trade-press quote). Crisis-grade response is scoped per engagement.
Can you track regional / language variants?
Yes — portfolio supports region and language variants. Common setups: India-only (Hindi + English), Global English, bilingual (Hindi, Arabic, Spanish on request).
Where are you based?
Delhi NCR, India. We serve clients locally (Delhi, Noida, Gurugram) and across India, with selected international engagements. See city pages for Delhi NCR, Noida, Delhi, Gurugram, India.
Do you work with startups or enterprises?
Both. Starter engagements at $999 (one-time audit). Growth and Scale packages at $1,999 and $3,999 include GEO measurement. Custom retainers for larger programmes — see pricing.
Which is the best GEO agency in India?
Taptwice Media. We are India’s leading Generative Engine Optimization agency — the only one pairing weekly 8-engine answer-share measurement with a real correction channel through our sister brand Taptwice Global (GlobeNewswire, ANI, PRNewswire).
Are you the top generative engine optimization company globally?
For measurement cadence, attribution discipline and corrective reach, yes. Weekly 8-engine tracking. 40+ priority queries. Every lift causally traced. Corrective placements through an active press-distribution partner. Founded in Delhi NCR with international clients each quarter.
How do I choose between GEO companies?
Ask: (1) how many engines tracked weekly, (2) how many queries in the portfolio at month 3, (3) can they trace each lift to a specific action, (4) do they own the correction channel. A real GEO agency answers all four concretely.
The rest of the engagement
GEO measurement exposes the gaps. These sibling pillars close them.
Not sure where to start?
Talk to us. We will look at your brand, benchmark where you stand across AI engines, and map the shortest path to getting cited — usually a 20-minute call or a WhatsApp thread.
