A founder-led engagement
Consider this scope if you want one consultant to connect your existing search foundations, business information and answer-engine visibility, with the work delivered directly rather than through an account-management layer.
GEO expert in India, working from Karnataka.
Make your information useful in AI answers. Measure mentions, citations and recommendations separately.
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 Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, Claude and Microsoft Copilot. Every engagement is delivered directly by him, with no account managers and no junior handoffs. Each of the seven 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.
Start with SEO vs AEO vs GEO if you are comparing the approaches. For a practical baseline, use the AI visibility guide and free CSV log. A citation is not automatically a recommendation or a customer enquiry.
- Role
- GEO consultantSEO, AEO and GEO, one strategy
- Based in
- Kushal NagarKodagu, Karnataka, India
- Serves
- Karnataka and IndiaRemote, pan-India
- Certified
- Ahrefs and SemrushAI Visibility Essentials
- Model
- Founder-ledNo agency layers
Sources: S18 (date and sample).
What the GEO service is
This service brings together a prompt-set baseline, website and business-identity work, content organisation, third-party corroboration and per-engine reporting. Start with the business information and questions you need to assess, then agree the work against the audit findings.
Check the fit · See the supported handovers · Discuss scope · Check sources and review status
Who this work suits, and when it does not
Know the limits before starting
This is not a fit if you require guaranteed citations or a large team covering many markets in parallel. If you are still choosing between disciplines, compare the AI SEO scope explanation and the published service catalogue before agreeing an engagement.
The work
What GEO consulting actually includes
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.
1. AI visibility audit and prompt-set baseline
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.
2. Entity resolution and structured data
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.
3. Answer-first content architecture and cluster coverage
Query fan-out research helps form hypotheses about topic coverage; it does not establish that breadth across a topic causes more citations than 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’ 28 July 2025 study analysed 16.975 million cited URLs and observed differences in cited-page age across platforms. Its narrative and organic-SERP table use inconsistent comparison values, so this page does not treat the reported difference as a precise universal benchmark. Content age is not the same measure as the effect of an update.
4. Brand mention building and honest measurement
The strongest evidenced off-page signal in the current data is not links but mentions: Ahrefs’ 26 May 2025 study of 75,000 selected brands put branded web mentions at r=0.664 with AI Overview visibility against r=0.218 for backlink count, and BuzzStream and Citation Labs analysed four million citations from 3,600 prompts across ten industries during the week starting 27 January 2026. Blog/content represented 53.46%. Press releases appearing through syndication channels represented 0.04%; direct newswire citations were a separate 0.21%. Earned-media share was about 80% after excluding informational prompts that did not name brands. These are category shares in that sample, not probabilities that a newly published asset will be cited. 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. These are observational correlations, not evidence that buying mentions causes an improvement.
Sources: S01 (sample and source); S02 (date and sample); S06 (date and sample); S08 (date and sample); S09 (date and sample); S10 (date and sample); S11 (date and sample); S21 (date and sample); S22 (date and sample).
What the published scope supports handing over
This is a practical reading of the work already described on this page, not a new package or an additional output allowance.
| Work already described | Concrete output supported by the page | Confirm in the engagement scope |
|---|---|---|
| Discovery audit | A written audit or baseline that you keep whether or not you hire Fawaz. | Document format and the boundary between the free consultation and paid implementation. |
| Prompt mapping | A buyer-language set of 20 to 40 prompts, with related questions grouped for the work. | Selected questions, products/modes, markets and access to the underlying prompt records. |
| Content and identity work | The page describes content restructuring, entity/profile consistency work and structured-data implementation. | Which pages and profiles, who approves and publishes changes, and any revision or access limits. |
| Reporting | Repeated observations reported separately by engine, using the outcome categories already described below. | Report format, review cadence, included evidence and the data available for your property. |
File formats, revision counts, page quantities, turnaround times and additional reporting fields are not specified here. Agree them before work begins; they should not be inferred from an example or a research statistic.
Inputs and responsibilities to discuss
Use this as a pre-scope discussion checklist, not as a request to send passwords or confidential customer data.
Business information and priorities
- Public website and relevant business-profile URLs.
- The services, locations and buyer questions you want to assess.
- Accurate business facts and evidence you are willing to publish.
- A person who can verify facts and approve changes.
Access and implementation
Discuss which analytics and search reports are available, which changes can be made within the agreed scope, and who can approve or publish them. The existing service description assigns audit, implementation and reporting to Fawaz; access permissions, approval timing and any client-side dependencies still need to be agreed.
How GEO engagements run
From prompt set to repeatable citation
01 BASELINE
Free AI visibility audit
A 20 to 40 prompt set is written in buyer language and run separately through seven 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
Engine-specific bottleneck
Record the engine, product mode, query, date and observed cited sources. Use provider documentation and dated studies as context, not as a fixed provider map or a diagnosis by brand name alone. Investigate access, content, identity, competition and observed sources before proposing changes. Microsoft 365 Graph grounding concerns authorized organizational data, not general public-web access.
03 EXECUTION
Hands-on implementation
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
Fixed-schedule measurement
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 describes an association, not proof that the work caused the change.
Sources: S01 (sample and source); S02 (date and sample); S14 (date and sample); S17 (date and sample); S18 (date and sample).
How the work is measured
The published method uses a repeatable prompt set, with results reported separately by engine. The existing categories are cited, mentioned without citation and absent. Use the measurement guide and blank observation log to see how the site distinguishes mentions, citations and recommendations.
Illustration only: reading an observation
If an answer names a business but provides no link to its website, record a mention without a citation. If it links to a page, record that citation. A recommendation is a separate observation about what the answer actually says. This is an explanation of the categories, not a client result, a measured improvement or a promise that an answer will appear.
Evidence, mechanisms and background
Read the research alongside its linked publication dates and samples. Existing factual wording is retained pending the owner decisions noted below; a citation link is not an approval of every inference.
Seven generative engines tracked. Measured separately, never averaged into one score.
Sources: S01 (sample and source); S02 (date and sample).
Generative engines tracked
Five surfaces, five different jobs
Common causes to check include access, content, identity, competition and observed sources. Record the engine, product mode, query, date and observed cited sources. Use provider documentation and dated studies as context, not as a fixed provider map or a diagnosis by brand name alone. Investigate access, content, identity, competition and observed sources before proposing changes. Microsoft 365 Graph grounding concerns authorized organizational data, not general public-web access.
| Engine | Grounded in | Common factors to check |
|---|---|---|
| ChatGPT | Web retrieval through multiple partners when search is used, plus training data | Bing indexation plus third-party mentions |
| Perplexity | Live web search on most queries | Freshness plus question-shaped structure |
| AI Overviews | Google index, RAG grounding plus query fan-out | Cluster rank across fan-out sub-queries |
| AI Mode | Google index, RAG grounding plus query fan-out | Cluster rank across fan-out sub-queries |
| Gemini | Google grounding when enabled | Access, entity clarity and observed sources |
| Claude | Live web search when enabled | Extractable, self-contained passages |
| Copilot | Bing index (Microsoft 365 data only for work accounts) | Bing rank plus entity consistency |
Sources: S01 (sample and source); S02 (date and sample); S14 (date and sample); S17 (date and sample); S18 (date and sample); S19 (date and sample); S20 (date and sample).
Quick reference
Key facts, before the detail
-
01
GEO is not SEO.
Generative Engine Optimization optimises for being cited inside an AI-generated answer, not for a ranked blue link.
-
02
GEO and AEO overlap.
AEO emphasises making business information and answers clear and usable. GEO emphasises how the business and its sources appear in generated responses. The labels overlap in practice: the same page and the same AI surface can involve both. We agree the questions, surfaces and evidence to track rather than treating extraction and synthesis as separate products controlled by the consultant.
-
03
Engines disagree.
Different products and queries can return different cited sources. Track the agreed surfaces separately rather than assuming visibility transfers between them. A numerical cross-platform overlap benchmark will be added only when its primary dataset, denominator and observation window can be verified.
-
04
Ranking first is no longer sufficient.
Ahrefs, March 2026, found 37.1% of AI Overview citations came from top-10 organic pages.
-
05
Brand presence outweighs raw links.
Ahrefs’ 26 May 2025 study of 75,000 selected brands put branded web mentions at r=0.664 against AI Overview visibility, versus r=0.218 for backlink count. These are observational correlations, not evidence that buying mentions causes an improvement.
-
06
No one can guarantee a citation.
Any GEO consultant promising guaranteed AI citations is either misinformed or overselling.
Sources: S01 (sample and source); S02 (date and sample); S08 (date and sample).
The distinction
SEO, AEO and GEO are three different surfaces
AEO emphasises making business information and answers clear and usable. GEO emphasises how the business and its sources appear in generated responses. The labels overlap in practice: the same page and the same AI surface can involve both. We agree the questions, surfaces and evidence to track rather than treating extraction and synthesis as separate products controlled by the consultant.
Full practice overview: SEO, AEO and GEO consultant in India
Search Engine Optimization
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.
Answer Engine Optimization
AEO emphasises making business information and answers clear and usable. GEO emphasises how the business and its sources appear in generated responses. The labels overlap in practice: the same page and the same AI surface can involve both. We agree the questions, surfaces and evidence to track rather than treating extraction and synthesis as separate products controlled by the consultant.
Instrument: snippet and PAA capture, Speakable and FAQPage markup.
Generative Engine Optimization
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.
The foundations are shared
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 evidence review 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. These scores are the author’s own assessments of the collected evidence, not official ranking weights or proof of causation.
Sources: S01 (sample and source); S02 (date and sample); S06 (date and sample); S21 (date and sample); S22 (date and sample).
Evidence, July 2026
How generative engines choose what to cite
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.
Retrieval and grounding, not memory
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.
The five best-evidenced citation factors
Cyrus Shepard’s 7 May 2026 evidence review covered 54 selected experiments, studies, explainers and patents and assigned 23 evidence-summary scores. Accessibility received 9.5/10 and traditional search rank 9.4/10. These are the author’s assessments of the collected evidence, not official ranking weights, success probabilities or proof of causation. Fan-out rank scored 9.3/10, preview control 9.2/10, query-to-answer match 9.2/10, freshness 7.0/10 and llms.txt 2.0/10.
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.
Position one is neither necessary nor sufficient
Ahrefs analysed 863,000 keywords and four million AI Overview URLs in March 2026 and found 37.1% of AI Overview citations came from pages ranking in Google’s top 10. About 26.2% came from positions 11 to 100, and about 36.7% 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.
Mentions correlate about 3 times more strongly than backlinks
Ahrefs’ 26 May 2025 study selected 75,000 brands and analysed the subset with AI Overview mentions. Branded web mentions had a Spearman correlation of 0.664 with visibility, compared with 0.218 for backlink count. This is an observational relationship in a filtered sample, not evidence that acquiring mentions creates three times the result. Branded anchors correlated at 0.527, branded search volume at 0.392 and Domain Rating at 0.326. The top quartile 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, 26 May 2025, 75,000-brand Spearman correlation study.
What the cited-page age study measured
Ahrefs’ 28 July 2025 study analysed 16.975 million cited URLs and observed differences in cited-page age across platforms. Its narrative and organic-SERP table use inconsistent comparison values, so this page does not treat the reported difference as a precise universal benchmark. Content age is not the same measure as the effect of an update. For the separate 4.3-times claim, we could not trace a primary study for this figure.
So refresh cadence matters, and it still ranks below accessibility, rank and brand presence in the evidence hierarchy.
Source: Ahrefs content-age study, 28 July 2025, 16.975M cited URLs, seven platforms.
Seven engines, measured separately
Different products and queries can return different cited sources. Track the agreed surfaces separately rather than assuming visibility transfers between them. A numerical cross-platform overlap benchmark will be added only when its primary dataset, denominator and observation window can be verified. Ahrefs’ 15 December 2025 report found 13.7% citation overlap in 540,000 matched US AI Mode/AI Overview query pairs from September 2025. This single-generation observation should not be treated as a permanent overlap rate. Seer Interactive separately found 87% of SearchGPT citations matched Bing’s top results, while Perplexity searches the web live for most answers 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: Ahrefs, 15 December 2025, 540,000 matched US AI Mode/AI Overview query pairs. Seer Interactive SearchGPT and Bing study.
Google’s own list of GEO tactics that do nothing
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.
Editorial depth does the heavy lifting
BuzzStream and Citation Labs analysed four million citations from 3,600 prompts across ten industries during the week starting 27 January 2026. Blog/content represented 53.46%. Press releases appearing through syndication channels represented 0.04%; direct newswire citations were a separate 0.21%. Earned-media share was about 80% after excluding informational prompts that did not name brands. These are category shares in that sample, not probabilities that a newly published asset will be cited. News represented 14.09% and social 8.71% in the same sample.
Directional rather than permanent, since the sample covers a single week from late January 2026. A descriptive difference in this sample does not by itself establish an effect.
Source: BuzzStream and Citation Labs, 4M citations, 3,600 prompts, ten industries, week starting 27 January 2026.
Citation appears to lift clicks, not just ego
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.
Sources: S01 (sample and source); S02 (date and sample); S06 (date and sample); S07 (date and sample); S08 (date and sample); S09 (date and sample); S10 (date and sample); S11 (date and sample); S12 (date and sample); S13 (date and sample); S14 (date and sample); S15 (date and sample); S16 (date and sample); S18 (date and sample).
Credentials
Certified in the exact discipline
Four qualifications behind the practice, two of them specifically covering AI search visibility rather than classic SEO alone.
Semrush AI Visibility Essentials
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.
Semrush Technical SEO and AI Search Essentials
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 evidence review, above every content tactic. These scores are the author’s own assessments of the collected evidence, not official ranking weights or proof of causation.
Ahrefs Academy Certification
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.
Advanced Diploma in Digital Marketing
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.
Sources: S06 (date and sample).
Choosing well
How to judge the best GEO expert in India
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.
-
01
Do they measure each engine separately?
Different products and queries can return different cited sources. Track the agreed surfaces separately rather than assuming visibility transfers between them. A numerical cross-platform overlap benchmark will be added only when its primary dataset, denominator and observation window can be verified.
-
02
Do they distinguish mentioned from cited?
Being named in an answer, being named with a clickable citation, and being absent are three separate observations. These findings help form hypotheses and choose checks; they do not establish the effect of a particular change on your site. Compare repeated observations on the agreed prompt set, record implementation changes and limitations, and investigate alternative explanations. Report an association rather than claiming that an intervention caused the change.
-
03
Do they refuse to guarantee citations?
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.
-
04
Can they cite their own sources?
Ask where a claimed statistic comes from, with study name, sample size and date. For the widely quoted 4.3-times freshness claim, we could not trace a primary study for this figure.
-
05
Do they hold verifiable credentials?
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.
-
06
Will the person who pitched do the work?
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
Karnataka coverage, from inside 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.
7
Generative engines measured separately
AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, Claude and 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
The case studies page contains engagement notes and client-approved testimonials. The historical first-page Google ranking for Green Coorg Spices is stated with its current offline/rebuild status. No time-to-rank, traffic increase or order-growth figure is published.
Sources: S01 (sample and source); S02 (date and sample); S09 (date and sample).
Go deeper
The rest of the evidence trail
If you are evaluating whether to hire a GEO consultant, these are the pages where the substance lives rather than the pitch.
AEO consultant
Answer engine optimisation in depth: featured snippets, People Also Ask, voice results and direct-answer surfaces, and how AEO and GEO overlap in practice. Read alongside this page if you are unsure which one you actually need.
SEO consultant in Karnataka
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.
Case studies
Engagement notes, client-approved testimonials and the historical first-page Google ranking for Green Coorg Spices, with its current offline/rebuild status. 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.
Sources: S01 (sample and source); S02 (date and sample).
Source records
- S01: Google Search Central: AI features and your website. Publication date not stated in the retrieved text; accessed 21 September 2026. Sample/type: Official product guidance, not a study.
- S02: Google Search Central: Optimizing your website for generative AI features. Last updated 10 July 2026, as displayed. Sample/type: Official product guidance, not a study.
- S03: Google Search Console: Generative AI performance report. Publication date not stated; rollout note dated 31 August 2026. Sample/type: Official report documentation; impressions grouped by page, country, date and device.
- S04: Google Search Console: Search generative AI control. Publication date not stated; rollout note dated 31 August 2026. Sample/type: Official control documentation, not a study.
- S05: Microsoft Bing: Intents, Topics, Citation Share and Compare. 16 June 2026. Sample/type: Official announcement of four preview capabilities.
- S06: Cyrus Shepard, Zyppy Signal: AI Citation Ranking Factors Analysis. 7 May 2026. Sample/type: Synthesis of 54 selected experiments, studies, explainers and patents; 23 scored factors.
- S07: Ahrefs: Update, 38% of AI Overview Citations Pull From the Top 10. 2 March 2026. Sample/type: 863,000 keyword SERPs; 4 million AI Overview URLs.
- S08: Ahrefs: An Analysis of AI Overview Brand Visibility Factors. 26 May 2025. Sample/type: 75,000 brands selected; approximately 74% with mentions studied; DR above 40 and a high-volume top keyword used in selection.
- S09: Ahrefs: Do AI Assistants Prefer to Cite Fresher Content?. 28 July 2025. Sample/type: 16.975 million cited URLs; seven reported platform/citation categories.
- S10: BuzzStream: What Kind of Content Does AI Cite, Based on Prompt Type?. Published 2 April 2026; updated 9 April 2026 (article metadata). Sample/type: 4 million citations; 3,600 prompts; 10 industries; week starting 27 January 2026; ChatGPT, AI Mode, AI Overviews and Gemini.
- S11: BuzzStream: The Role of News Publications in AI Citations. Published 9 March 2026; updated 8 April 2026 (article metadata). Sample/type: 4 million citations; 3,600 prompts; 10 industries; week starting 27 January 2026.
- S12: Seer Interactive: AIO Impact on Google CTR, 2026 Update. 24 April 2026, displayed article date. Sample/type: 53 accounts; 5,471,127 queries; 2.43 billion organic impressions; January 2025 to February 2026 actuals.
- S13: SparkToro: In 2026, Less Than One Third of Google Searches Still Send a Click. 8 June 2026. Sample/type: Similarweb US desktop/mobile-browser panel, January to April 2026; exact observation count not stated.
- S14: Seer Interactive: 87% of SearchGPT Citations Match Bing's Top Results. 6 February 2025. Sample/type: 100 queries; more than 500 citations; many top/best queries.
- S15: Ahrefs: Are AI Mode and AI Overviews Just Different Versions of the Same Answer?. 15 December 2025. Sample/type: September 2025 US data; 540,000 query pairs for URL/citation analysis and 730,000 for content similarity.
- S16: BrightEdge: Rank Overlap After 16 Months of AI Overviews. 18 September 2025. Sample/type: Nine industries, May 2024 to September 2025; exact query count not stated.
- S17: OpenAI: ChatGPT Search. Absolute publication/update date not stated in retrieved text; accessed 21 September 2026. Sample/type: Official product documentation, not a study.
- S18: Perplexity: How Does Perplexity Work?. Absolute publication/update date not stated in retrieved text; accessed 21 September 2026. Sample/type: Official product documentation, not a study.
- S19: Anthropic: Claude Can Now Search the Web. 20 March 2025; availability update 27 May 2025. Sample/type: Official product announcement, not a study.
- S20: Microsoft Learn: Microsoft 365 Copilot Architecture. Publication date not established in this check; accessed 21 September 2026. Sample/type: Official architecture documentation for the Microsoft 365 product context.
- S21: Google Search Central: FAQ rich-result deprecation and documentation removal. Deprecation notice 8 May 2026; documentation-removal entry 15 June 2026. Sample/type: Official documentation changelog.
- S22: Google Search Central: Speakable structured data. Publication date not established in this check; accessed 21 September 2026. Sample/type: Official beta feature documentation.
Scoping and the next decision
Start with the free audit and agree the work and price in writing before implementation or invoicing. Published packages remain on the services and pricing page; this page does not add a new price or a separate package.
Use the scope discussion to confirm priorities, pages and profiles, selected engines and modes, approval responsibilities, reporting cadence and any access constraints. The format and extent of handovers are to be agreed, rather than assumed from the workstream names.
Questions
GEO questions, answered directly
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.
What is Generative Engine Optimization (GEO)?
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 Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, 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.
Who is the best GEO expert in India?
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.
Is there a GEO expert in Karnataka?
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.
How is GEO different from SEO and AEO?
AEO emphasises making business information and answers clear and usable. GEO emphasises how the business and its sources appear in generated responses. The labels overlap in practice: the same page and the same AI surface can involve both. We agree the questions, surfaces and evidence to track rather than treating extraction and synthesis as separate products controlled by the consultant.
They share foundations, including crawlability, entity clarity and answer-first writing. The same page and AI surface can involve both AEO and GEO. See the AEO consultant page for the related scope.
How do I get my business cited by ChatGPT and Perplexity?
Common causes to check include access and indexing, third-party references, freshness, answer structure, entity clarity and eligibility. Record the engine, product mode, query, date and observed cited sources. Use provider documentation and dated studies as context, not as a fixed provider map or a diagnosis by brand name alone. Investigate access, content, identity, competition and observed sources before proposing changes. Microsoft 365 Graph grounding concerns authorized organizational data, not general public-web access. Perplexity searches the web live for most answers.
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.
Does llms.txt help with GEO or AI citations?
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 evidence review of 54 studies scored llms.txt lowest of all 23 factors at 2.0 out of 10. These scores are the author’s own assessments of the collected evidence, not official ranking weights or proof of causation.
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.
Does ranking number one on Google get me into AI answers?
Not reliably. Ahrefs analysed 863,000 keywords and four million AI Overview URLs in March 2026 and found only 37.1% of AI Overview citations came from pages ranking in Google’s top 10, with 26.2% in positions 11 to 100 and 36.7% outside the top 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.
How long does GEO take, and what does it cost in India?
Timelines depend on the site; I give an estimate after the free audit. 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.
Sources: S01 (sample and source); S02 (date and sample); S06 (date and sample); S07 (date and sample); S14 (date and sample); S18 (date and sample).
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Book a free 30 minute GEO audit. You will get a written baseline showing exactly where you are cited, mentioned or absent across seven generative engines, and which specific bottleneck is causing each gap.
- Phone and WhatsApp+91 94810 84038
- Emailfawazbhseo@gmail.com
- Admin emailadmin@fawazbhseo.in
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- Based inKushalnagar, Kodagu, Karnataka, India, 571234
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