Ranking gets you a link. Being cited gets you recommended.
Fawaz BH is a GEO (Generative Engine Optimization) expert based in Kushal Nagar, Kodagu, Karnataka, India, helping businesses across Karnataka and India get cited inside AI-generated answers from ChatGPT, Perplexity, Google Gemini and AI Overviews, Claude and Microsoft Copilot. Every engagement is delivered directly by him, with no account managers and no junior handoffs. Each of the five engines is measured separately, because they do not share a source pool, and no engagement promises a guaranteed citation, because nobody controls what a language model quotes.
Five generative engines tracked. Measured separately, never averaged into one score.
Generative engines tracked
Same symptom, different jobs. Invisible in ChatGPT and Copilot is usually a Bing problem. Invisible in Perplexity is usually a freshness problem. Invisible in Gemini is usually an entity problem.
| Engine | Grounded in | Primary citation lever |
|---|---|---|
| ChatGPT | Bing-backed retrieval plus training data | Bing indexation plus third-party mentions |
| Perplexity | Live multi-API web search, every query | Freshness plus question-shaped structure |
| Gemini and AI Overviews | Google index, RAG grounding plus query fan-out | Cluster rank across fan-out sub-queries |
| Claude | Live web search, reported as Brave-backed | Extractable, self-contained passages |
| Copilot | Bing index and Microsoft Graph surfaces | Bing rank plus entity consistency |
Quick reference
Generative Engine Optimization optimises for being cited inside an AI-generated answer, not for a ranked blue link.
AEO targets answers extracted onto a results page. GEO targets synthesis, where a model reads several sources and credits some of them.
A 680-million-citation analysis found only about 11% domain overlap between ChatGPT and Perplexity citations.
Ahrefs, March 2026, found roughly 38% of AI Overview citations came from top-10 organic pages, down from about 76% in mid-2025.
Ahrefs’ 75,000-brand study put branded web mentions at r=0.664 against AI Overview visibility, versus r=0.218 for backlink count.
Any GEO consultant promising guaranteed AI citations is either misinformed or overselling.
The distinction
These three terms get used interchangeably, including by people selling them. They are not the same thing. They target different surfaces, are earned by different mechanisms, and are measured with different instruments, which is precisely why running them as one connected strategy works better than buying them as three retainers.
Full practice overview: SEO, AEO and GEO consultant in India
SEO optimises for ranked organic results in traditional search engines like Google and Bing. The unit of success is a position: page one, top three, top ten. It is measured in impressions, clicks, average position and conversions inside Google Search Console and GA4.
Instrument: Search Console, rank tracking, log files.
AEO optimises for answers extracted from your page and displayed on a results surface: featured snippets, People Also Ask, voice results and the direct-answer boxes above organic listings. The mechanism is extraction. An engine lifts one self-contained passage from your page and shows it, usually with attribution and a link.
Instrument: snippet and PAA capture, Speakable and FAQPage markup.
GEO optimises for being cited inside a synthesised answer. A generative engine expands the question into sub-queries, retrieves multiple documents, reads them, and writes original prose that credits a handful of sources. Nothing is lifted verbatim, so the work shifts from owning one snippet to being the best-corroborated, most extractable, freshest source across a whole cluster of related questions.
Instrument: fixed prompt sets re-run per engine, mentioned, cited or absent scoring.
Google’s own July 2026 guidance is explicit that its generative AI features are rooted in its core Search ranking systems, and Zyppy’s May 2026 meta-analysis of 54 studies scored classic search rank as the second-strongest evidenced AI-citation factor at 9.4 out of 10. Entity clarity, crawlability, structured data and answer-first writing serve all three surfaces at once. Splitting them into separate invoices is a commercial decision, not a technical one.
The work
Four workstreams, priced against a defined scope after a free audit. Deliverables are named so you can check them off, and ordered by the weight of evidence behind each, so accessibility and rank first, brand presence second, structure and freshness third.
The engagement starts with 20 to 40 prompts written in the words a real buyer would use with an assistant, not keywords. Each prompt is run separately through ChatGPT, Perplexity, Gemini, Claude and Copilot, and every result is scored as cited, mentioned without a citation, or absent, three outcomes that need three different fixes and that most single-score tools collapse into one number. The audit also covers the highest-evidence technical factors: crawlability for AI user agents, HTTP status codes, and any nosnippet or max-snippet directives, since suppressing previews can quietly suppress citations too.
A generative engine has to know who you are before it can recommend you. This is Schema.org implementation, so Organization or Person, Service, FAQPage and BreadcrumbList, a sameAs graph across the profiles that already describe you, and consistency auditing so your name, location, role and claims match everywhere they appear. Structured data is not a Google ranking requirement, Google says so plainly, but it is how machines verify an entity cheaply, and consistency across domains is what stops a model hedging on your name.
Because generative engines fan a question out into sub-queries and retrieve across all of them, breadth across a topic beats owning one head term. The work is cluster mapping, then rewriting so each section leads with its answer and stands alone as a complete, quotable unit, plus tables, named sources and specific figures instead of adjectives. Ahrefs measured AI-cited pages at an average 1,064 days old against 1,432 days for organic top-10 results, so a refresh cadence is built into the plan rather than bolted on.
The strongest evidenced off-page signal in the current data is not links but mentions: Ahrefs’ 75,000-brand study put branded web mentions at r=0.664 with AI Overview visibility against r=0.218 for backlink count, and BuzzStream’s four-million-citation analysis found editorial content supplied roughly 53% of citations while syndicated press releases supplied about 0.04%. So budget goes into genuine editorial coverage, real community participation and category presence, not wire distribution and not manufactured mentions, which Google explicitly names as ineffective. The same prompt set is then re-run on a fixed schedule and reported as a trend, because a single check is anecdote, not measurement.
Evidence, July 2026
This is the section most GEO pages skip. Every claim below is attributed to a named study with its scale and date, and where a popular statistic does not survive checking, it is corrected rather than repeated. Correlation is not causation, and the original authors say so. Treat these as a prioritised map, not guaranteed levers.
For live queries, generative engines do not recall your page from training. They retrieve it. Google describes its own generative features as using retrieval-augmented generation to pull current pages from the Search index, plus query fan-out: the model spawns several related sub-queries and retrieves across all of them before writing an answer.
The practical consequence is that one page ranking for one head term is a weak position. Coverage across the cluster of sub-questions a topic fans out into is a strong one.
Source: Google Search Central, AI features and your website guide, updated 10 July 2026.
Cyrus Shepard’s May 2026 Zyppy meta-analysis scored 23 factors across 54 experiments, patents and case studies. The top five by evidence strength were URL accessibility, 9.5/10, classic search rank, 9.4, fan-out rank, 9.3, preview control, 9.2 and query-to-answer match, 9.2. Freshness scored a moderate 7.0. llms.txt scored lowest of all, at 2.0.
Read plainly: engines cite pages they can reach, that already rank, that match the exact question, and that permit a preview.
Source: Zyppy Signal, AI Citation Ranking Factors, 7 May 2026, 54 studies scored 0 to 10.
Ahrefs analysed 863,000 keywords and four million AI Overview URLs in March 2026 and found 38% of AI Overview citations came from pages ranking in Google’s top 10, down from roughly 76% in mid-2025. About 31.2% came from positions 11 to 100, and about 31.0% from beyond position 100.
Other datasets disagree on the exact figure. BrightEdge has reported both much lower and much higher overlap depending on window and industry, which is itself the point: the number is unstable, so treating rank as a proxy for AI visibility is unsafe. Measure the answer surface directly.
Sources: Ahrefs, 863K keywords and 4M AIO URLs, March 2026. BrightEdge rank-overlap tracking, 2026.
Ahrefs’ 75,000-brand study found branded web mentions correlated at r=0.664 with AI Overview visibility, branded anchors at 0.527 and branded search volume at 0.392, while Domain Rating came in at 0.326 and raw backlink count last at r=0.218. The top quartile of brands by web mentions averaged 169 AI Overview mentions against 14 for the next quartile.
The honest caveat the authors themselves add: already-strong brands may simply earn both. Correlation, not proof.
Source: Ahrefs, 75,000-brand Spearman correlation study, 2026.
A widely repeated claim says fresh content is cited 4.3 times more often. That figure traces to no primary study and should not be repeated. The verified measurement, across 16.98 million cited URLs on seven platforms, is that AI-cited content averages 1,064 days old versus 1,432 days for organic top-10 results, a real but moderate 25.7% freshness advantage. ChatGPT skewed freshest at 958 days.
So refresh cadence matters, and it still ranks below accessibility, rank and brand presence in the evidence hierarchy.
Source: Ahrefs content-age study, 16.975M cited URLs, seven platforms, 2026.
A 680-million-citation analysis found only about 11% domain overlap between ChatGPT and Perplexity, and Google’s AI Overviews and AI Mode returned the same URLs only around 13.7% of the time despite reaching similar conclusions. Seer Interactive separately found 87% of SearchGPT citations matched Bing’s top results, while Perplexity performs live retrieval on every query and cites far more sources per answer.
This is why a single blended AI visibility score hides the information you need, and why this practice reports each engine apart.
Sources: AI Platform Citation Source Index 2026, 680M citations. Seer Interactive SearchGPT and Bing study.
Google’s July 2026 guidance names specific tactics as unnecessary for Google Search and its AI features: llms.txt and other special AI files, artificially chunking content, rewriting content specifically for AI systems, seeking inauthentic mentions, and over-focusing on structured data as if it were a citation requirement.
This site publishes an llms.txt anyway, not as a ranking play, but because it is a useful, human-auditable canonical summary of the entity. That distinction is the whole difference between GEO practice and GEO folklore.
Source: Google Search Central, generative AI features guide, mythbusting section, July 2026.
BuzzStream analysed four million citations from 3,600 prompts across ten industries and found blog and content pages supplied 53.46% of citations, news 14.09% and social 8.71%. With brand-owned queries excluded, earned editorial content accounted for roughly 80%. Syndicated press releases accounted for 0.04% of the entire dataset.
Directional rather than permanent, since the sample covers a single week from late January 2026, but the gap is too wide to be noise.
Source: BuzzStream citation-format analysis, 4M citations, 3,600 prompts, 2026.
Seer Interactive’s April 2026 study of 53 brands across 5.47 million queries found pages cited in AI Overviews were associated with roughly 120% more organic clicks per impression than uncited pages. SparkToro’s June 2026 study found 68% of US Google searches ended without a click at all.
Read together: fewer searches produce a visit, and the ones that do increasingly favour cited sources. Seer’s authors flag that stronger brands may earn both, again, correlation.
Sources: Seer Interactive, 53 brands and 5.47M queries, April 2026. SparkToro zero-click study, June 2026.
How GEO engagements run
01 BASELINE
A 20 to 40 prompt set is written in buyer language and run separately through five engines. You receive a written baseline scoring every prompt as cited, mentioned or absent, plus the accessibility and preview-control findings. Yours to keep whether or not you hire me.
02 DIAGNOSIS
Each gap is attributed to its actual cause rather than a generic fix: Bing indexation and third-party mentions for ChatGPT and Copilot, freshness and answer structure for Perplexity, entity and fan-out cluster coverage for Gemini and AI Overviews.
03 EXECUTION
Accessibility fixes first, then entity and schema work, then answer-first restructuring and cluster coverage, then mention-building. Carried out directly by me, in the evidence order above rather than the order that looks busiest.
04 RE-RUN
The identical prompt set is re-run at fixed intervals and reported as a trend per engine. Generative answers are volatile enough that one check proves nothing. A trend across repeated runs is the only honest evidence that work landed.
Choosing well
There is no single best GEO expert in India, and any page claiming the title, including this one, is making a marketing statement rather than a measurable one. What can be evaluated is fit. Here are six checks that separate a working GEO practitioner from a rebranded SEO package, in the order worth asking about.
If the deliverable is one blended AI visibility score, ask which engine moved. Given roughly 11% domain overlap between ChatGPT and Perplexity citations, an average across engines conceals the only actionable detail.
Being named in an answer, being named with a clickable citation, and being absent are three outcomes with three different fixes. A practitioner who does not separate them cannot prescribe correctly.
Nobody controls what a language model quotes. A guaranteed-citation promise is the clearest single signal that someone is selling ahead of what the field can actually deliver.
Ask where a claimed statistic comes from, with study name, sample size and date. The GEO field is full of numbers that trace back to nothing, the widely quoted 4.3 times freshness figure among them.
Certifications you can check yourself, in this specific discipline, beat a self-declared AI expert title. Ask which ones and from whom, then verify independently rather than taking the badge on the page at face value.
Ask directly whether you will be handed to an account manager after signing. With a founder-led practice the answer is structurally no. With most agencies it is structurally yes. Neither is wrong, but you should know which you are buying.
Measured against those six, Fawaz BH is a reasonable option if you want one certified consultant running SEO, AEO and GEO as a single strategy, with per-engine reporting and no agency layer. He is the wrong option if you need twelve markets covered in parallel next quarter, or a large team on standby. That is an agency’s job, and saying so is more useful than pretending otherwise.
GEO expert in Karnataka
Fawaz BH is a GEO expert based in Karnataka, specifically in Kushal Nagar, Kodagu (Coorg), in the state’s south-west. GEO work itself is location-independent: entity resolution, structured data, cluster coverage and prompt-set measurement are delivered remotely to clients in Bengaluru, Mysuru, Mangaluru, Hubli-Dharwad, Udupi, Belagavi, Shivamogga, Madikeri and across India. Being physically in Karnataka matters for one specific reason: bilingual Kannada and English query behaviour and tier-2 market dynamics show up in the prompts people actually type, and a Bengaluru-only or Delhi-only playbook routinely misreads them.
5
Generative engines measured separately
ChatGPT, Perplexity, Gemini and AI Overviews, Claude, Copilot, each queried independently, never averaged into one score
20 to 40
Buyer prompts per baseline
Written in assistant language, not keyword language, and re-run identically on a fixed schedule so the trend is comparable
3
Outcome states scored per prompt
Cited, mentioned without citation, or absent, reported per engine, because each state needs a different fix
1
Person on your account
Founder-led delivery, deliberately small client list, no account managers or subcontracting
Client GEO performance figures are published on the case studies page only once verified against Search Console, GA4 or documented AI-answer screenshots. Nothing illustrative or estimated is published as a result.
Credentials
Four qualifications behind the practice, two of them specifically covering AI search visibility rather than classic SEO alone.
The certification that underpins the GEO work directly: prompt-level tracking, share of voice inside generated answers, and the difference between being retrieved and being cited. That last distinction is the one this whole page is built around.
Crawlability, indexation, site health and structured data, plus how those foundations feed AI search surfaces. In GEO terms this is the highest-evidence layer: URL accessibility scored 9.5 out of 10 in Zyppy’s 2026 meta-analysis, above every content tactic.
Keyword research, backlink analysis, competitive research and technical site auditing. Still the base layer of GEO, because classic search rank remains the second-strongest evidenced citation factor.
A broad grounding across digital marketing disciplines, which is what makes it possible to say when the answer to a visibility problem is not more GEO.
Go deeper
If you are evaluating whether to hire a GEO consultant, these are the pages where the substance lives rather than the pitch.
Answer engine optimisation in depth: featured snippets, People Also Ask, voice results and direct-answer surfaces, and why extraction is a different job from synthesis. Read alongside this page if you are unsure which one you actually need.
The classic-search layer GEO sits on top of, covering Bengaluru, Mysuru, Mangaluru and tier-2 Karnataka markets. For national scope, see SEO consultant in India. For hyperlocal work, SEO consultant in Kodagu.
Documented engagements across Karnataka and South India, with figures published only once verified. Background on how the practice started in early 2025 and moved into AEO and GEO as those disciplines formed is on the about page, and full service scope on SEO services.
Questions
These are the questions people actually type into ChatGPT, Perplexity and Google about generative engine optimization. Each answer leads with the answer, in one to three sentences, so it can be quoted without surrounding context.
Generative Engine Optimization (GEO) is the practice of structuring a website, its entity signals and its off-site presence so that AI systems cite it inside generated answers. The target surfaces are ChatGPT, Perplexity, Google Gemini and AI Overviews, Claude and Microsoft Copilot. Unlike SEO, the unit of success is a citation inside an answer rather than a ranked position on a results page.
There is no single best GEO expert in India, because GEO is barely two years old as a named discipline and no independent body ranks practitioners. The useful question is which consultant fits your situation, judged on checks you can verify: do they measure each AI engine separately, do they distinguish mentioned from cited, do they refuse to guarantee citations, and can they attribute every statistic they quote to a named study?
Fawaz BH is one option worth considering for businesses that want one certified consultant running SEO, AEO and GEO as a single strategy with per-engine reporting and no agency layer. He is the wrong option for organisations needing a large team across many markets simultaneously.
Yes. Fawaz BH is a GEO consultant based in Kushal Nagar, Kodagu, Karnataka, serving clients in Bengaluru, Mysuru, Mangaluru, Hubli-Dharwad, Udupi, Belagavi, Shivamogga, Madikeri and across India. Generative engine optimisation is delivered remotely, since entity work, structured data, cluster coverage and prompt-set measurement do not require being on site. Being based in Karnataka matters mainly for reading bilingual Kannada and English query behaviour and tier-2 market dynamics accurately.
SEO targets ranked results in traditional search engines. AEO targets answers extracted from your page onto a results surface, such as featured snippets and voice results. GEO targets citation inside an AI-generated answer that a model synthesises from several sources.
The mechanism is the real difference: AEO wins when an engine lifts one passage from you, while GEO wins when a model reads many documents and decides yours is worth crediting. They share foundations, so crawlability, entity clarity and answer-first writing, which is why running all three together is more efficient than buying them separately. See the AEO consultant page for the extraction side.
Make sure your pages are crawlable and previewable, rank in classic search for the sub-queries the engines fan out into, state facts in self-contained passages near the top of the page, and earn genuine third-party mentions. Then treat the two engines differently: ChatGPT retrieves through Bing, so Bing indexation and established third-party coverage matter most there, while Perplexity searches live on every query and rewards freshness and question-shaped structure.
Seer Interactive found 87% of SearchGPT citations matched Bing’s top results, which is why Bing visibility is a separate task from Google visibility rather than a by-product of it.
No, on current evidence. Google’s own July 2026 guidance states that you do not need llms.txt or other special AI files to appear in Google Search or its generative features, and Zyppy’s May 2026 meta-analysis of 54 studies scored llms.txt lowest of all 23 factors at 2.0 out of 10.
It remains harmless and mildly useful as a human-auditable summary of your entity, and this site publishes one, but it is not a ranking or citation lever, and any consultant selling it as one is overstating the evidence.
Not reliably. Ahrefs analysed 863,000 keywords and four million AI Overview URLs in March 2026 and found only about 38% of AI Overview citations came from pages ranking in Google’s top 10, down from roughly 76% in mid-2025, with the remainder spread across positions 11 to 100 and beyond position 100.
Classic ranking still helps and still scores as the second-strongest evidenced citation factor, but it has to be paired with cluster coverage across fan-out sub-queries, entity clarity and off-site brand presence.
Structural changes such as entity resolution, schema and answer-first restructuring typically start showing up in AI answers within roughly six to twelve weeks, with mention-building compounding over three to six months. On freshness-sensitive engines like Perplexity, new content can surface within days of indexing. Pricing is scoped against what the free audit finds rather than sold as a fixed tier, agreed in writing before any work or invoicing begins.
Published starting rates for the SEO, AEO and GEO tiers are listed on the services and pricing page. GEO sits in the top tier because it depends on the SEO and AEO foundations being in place first.
Let us talk
Book a free 30 minute GEO audit. You will get a written baseline showing exactly where you are cited, mentioned or absent across five generative engines, and which specific bottleneck is causing each gap.
Tell me what you need. I read every message myself and reply directly.
Written and maintained by Fawaz BH. Last reviewed .
Answer assistant
This searches answers Fawaz has already written on this site. It is not a chatbot writing new text, so it will not invent a figure or a promise. If it does not know something, it will hand you to WhatsApp.
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